Merlin Kolk - Tallinna Tehnika¼likool

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TALLINN UNIVERSITY OF TECHNOLOGY Faculty of Science Institute of Clinical Medicine ENHANCING TECHNOLOGY-BASED OPPORTUNITY RECOGNITION CAPABILITY IN HEALTHCARE TECHNOLOGY COMPANIES Master´s Thesis Merlin Kolk Supervisor: Peeter Ross, Associate Professor Chair of Health Care Technology Health Care Technology 2013

Transcript of Merlin Kolk - Tallinna Tehnika¼likool

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TALLINN UNIVERSITY OF TECHNOLOGY

Faculty of Science

Institute of Clinical Medicine

ENHANCING TECHNOLOGY-BASED OPPORTUNITY

RECOGNITION CAPABILITY

IN HEALTHCARE TECHNOLOGY COMPANIES

Master´s Thesis

Merlin Kolk

Supervisor: Peeter Ross, Associate Professor

Chair of Health Care Technology

Health Care Technology

2013

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TALLINNA TEHNIKAÜLIKOOL

Matemaatika-loodusteaduskond

Kliinilise Meditsiini Instituut

TEHNOLOOGIAL PÕHINEVATE

ÄRIVÕIMALUSTE IDENTIFITSEERIMISE VÕIMEKUSE

EDENDAMINE TERVISHOIUTEHNOLOOGIA ETTEVÕTETES

Magistritöö

Merlin Kolk

Juhendaja: Peeter Ross, dotsent

Tervishoiutehnoloogia õppetool

Tervishoiutehnoloogia

2013

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Contents

INTRODUCTION ....................................................................................................... 4

ABBREVIATIONS ..................................................................................................... 7

1. THEORETICAL FOUNDATIONS ......................................................................... 8

1.1. Opportunity recognition concepts and process ................................................. 8

1.2. Technology-based opportunity recognition ..................................................... 22

1.3. Opportunity recognition in healthcare ............................................................. 28

2. RESEARCH METHODOLOGY ........................................................................... 39

2.1. Research strategy ............................................................................................. 39

2.2. Research methods ............................................................................................ 40

2.3. Research data ................................................................................................... 43

2.4. Limitations and implications for future research............................................. 45

3. CASE DESCRIPTION AND RESULTS .............................................................. 47

3.1. Overview of case companies ........................................................................... 47

3.2. Research results ............................................................................................... 50

3.3. A model to enhance technology-based opportunity recognition capability in

healthcare technology companies ........................................................................... 60

CONCLUSION .......................................................................................................... 64

REFERENCES ........................................................................................................... 67

ACKNOWLEDGEMENTS ....................................................................................... 73

RESÜMEE ................................................................................................................. 74

APPENDIXES. APPENDIX 1. Effective trends to curb costs in healthcare ............ 76

APPENDIX 2. Interview sample ............................................................................... 77

APPENDIX 3. Questionnaire for the interviews ....................................................... 78

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INTRODUCTION

This master’s thesis is dedicated to enhance technology-based opportunity

recognition capability in healthcare technology companies.

Discovering of business opportunities is the cornerstone of entrepreneurship.

Opportunity recognition and introducing the innovations are the top priorities for

executives in almost every industry, not just for realizing efficiencies, but because it

is seen as integral to growth (Lazarus et al. 2011). Technology-based opportunity

recognition and introducing innovations is unavoidable for firms which want to

develop and maintain a competitive advantage or gain entry in to new markets

(Becheikh et al. 2006). Irrespective of the dimensions of technological innovations,

companies intend to achieve either cost effective, quality improved, improved

versions of existing products, or altogether new products (Subrahmanya 2010).

Unfortunately companies are not always able to follow all the technological

opportunities available for them and it has been found that technology-based

enterprises seldom have clear strategies for dealing with what they see as non-core

technologies (Parhankangas et al. 2003).

At the same time there are thoughtful changes and challenges ahead in the

healthcare industry. As countries and organizations aim for ways to control

healthcare spending, address the growing needs of an aging population, and respond

to a more informed and empowered consumers, the opportunities for innovation have

increased significantly (Varkey et al. 2008). It has been found that introducing

technology–based innovations can be one of the options to make healthcare better

and cheaper. New drugs, diagnostic methods, drug delivery systems, and medical

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devices offer the hope of better treatment and of care that is less costly, disruptive,

and painful (Herzlinger 2006).

Thus, the need for discovering technology-based opportunities in healthcare has

increased substantially and this is the main reason for selecting the current master´s

thesis topic by the author. The second reasons for choosing this subject is that author,

as a representative of Tallinn University of Technology, is participating in a project

of Enterprise Estonia regarding introducing new space technologies and satellite

applications for the different Estonian target groups. It is important that Estonia

would participate in strategic European Union space projects like Copernicus and

Galileo by creating opportunities both for public and private sector. One of the

objectives of this project is to enhance entrepreneurs’ capabilities to exploit and

create space technology based applications in healthcare.

The main task of the thesis is to add some new findings to the theoretical

constructions of opportunity recognition, technology-based opportunity recognition

and specific opportunity recognition patterns in healthcare, but also to complement

the previous findings by focusing the research on technology-based opportunity

recognition in healthcare technology companies.

The following subtasks are established by the author:

1) To give an overview of opportunity recognition concepts and processes,

including technology-based opportunity recognition;

2) To describe specifics of healthcare industry in order to understand the

needs and limitations of an opportunity recognition in the sector;

3) To investigate different healthcare technology companies with the

objective to understand their tools for effective opportunity recognition

process;

4) To find out how healthcare technology companies identify new

technologies outside of their core competence (non-core technologies);

5) To design a model to enhance technology-based opportunity recognition

capability in healthcare technology companies, based on the results of all

previously described tasks.

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The master’s thesis is divided into three parts. The first part involves the

theoretical foundations of opportunity recognition concepts and processes, including

technology-based opportunity recognition specifics. An overview of opportunity

recognition in healthcare industry follows to describe the particular needs and

limitations in the sector.

The second part of the thesis describes research methodology. This chapter brings

out the research problem and objectives of the thesis. The research question and the

expected outcome of the study are also established in the chapter. In addition, the

author describes the research strategy, including methods, data analysis and research

data. Limitations of the study and implications for further research are presented in

this part of the thesis.

The third part includes the case descriptions. This chapter starts with brief

descriptions of case companies. Subsequently the research results are presented. This

part is based on the synthesis from case companies research and literature review.

As a final point, author of the thesis presents a model how to enhance technology-

based opportunity recognition in healthcare companies. The model is relevant for

newly created ventures as well for existing organisations.

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ABBREVIATIONS

CEO - Chief Executive Officer

CTO - Chief Technical Officer

GBD - global burden of disease

GDP - gross domestic product

ICT - Information and Communications Technologies (technologies that

deliver access to information through telecommunications)

IT - Information Technologies (everything linked to computing

technology)

LTC - long term conditions

NCD - non-communicable diseases

R&D - research and development

SME - small and medium-sized enterprises

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1. THEORETICAL FOUNDATIONS

1.1. Opportunity recognition concepts and process

“This defines entrepreneur and entrepreneurship - the entrepreneur always searches

for change, responds to it, and exploits it as an opportunity” Drucker (2007, 25) said.

Without opportunities there is no entrepreneurship (Alsos et al. 2006). Opportunity

recognition and innovation are the top priorities for enterprises in almost every

industry, not just for realizing efficiencies, but because it is seen as basic to growth

(Lazarus et al. 2011). In 2005, during PricewaterhouseCoopers’ “Trendsetter

Barometer” survey, CEOs from America’s fastest-growing private companies were

interviewed and it was found that innovation is an organization-wide priority which

has positive impact on their businesses. For the companies, the success of

introducing innovations in a company was measured by overall revenue growth

(78%), customer satisfaction (76%), growth in revenue from new products or

services (74%), increased productivity (71%) and earnings or profit margins (68%)

(Fast-Growth Companies..., 2005).

It is important to search for new opportunities throughout the entire lifetime of

any enterprise. To stay ahead and on top of the market, firms must constantly

recognise opportunity as they continue to grow. For example, Steve Jobs is the

quintessential opportunity recogniser of our era; his iterations of Apple have

successfully exploited on opportunity after opportunity (Klemm 2013).

Importance of entrepreneurial opportunity recognition has resulted in many

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discussions and researches about values of opportunity recognition for companies, as

well as about key factors of successful opportunity recognition and effective process.

Definitions

It all starts with an idea. According to www.businessdictionary.com, idea is a thought

or collection of thoughts that generate in the mind. An idea is usually generated with

intent, but can also be created unintentionally. Finding a good idea is the first step in

the task of converting an entrepreneur’s creativity into an opportunity and

innovation. Timmons (1999) said that a good idea is like a tool in the hands of an

entrepreneur. Business opportunities are created, or built, using ideas and

entrepreneurial creativity. Ardichvili’s (2003) point of view is similar to that saying:

„Opportunities develop as individuals shape elemental ideas into business plans”.

Opportunity is an aspect of the environment viewed from a certain perspective.

Entrepreneurs can pursue opportunities in any industry at any time (Shane et al.

2003). An opportunity is a favourable set of circumstances that creates a need for a

new product, service or business (Barringer et al. 2008). Timmons (1999) stressed

the market point of view – opportunity is something that is valuable to customers. He

added that the most successful entrepreneurs, venture capitalists, and private

investors are opportunity-focused; that is, they start with what customers and the

marketplace want and do not lose sight of this.

Baron (2004) concluded while many definitions of the entrepreneurial opportunity

have been proposed most include reference to three central characteristics:

- potential economic value (i.e., the potential to generate profit);

- newness (i.e., some product, service, technology, etc. that did not exist

previously);

- perceived desirability (e.g., moral and legal acceptability of the new

product or service in society).

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Opportunity recognition is the discovery of an idea to create new businesses and

the search of information regarding market and technological possibilities.

Recognising an entrepreneurial opportunity is perceived as a possibility to introduce

innovations (goods or services) to a marketplace through founding and formation of

a new venture, or significant improvement of an existing venture (Renko 2008).

Opportunity recognition is defined by many authors as a process, not like one

time occurrence. According to Baron (2004), opportunity recognition can be viewed

as the cognitive process through which entrepreneurs conclude that they have

identified an opportunity. It is only a first step in a continuing process, and is distinct

both from detailed feasibility evaluations of opportunities and from steps to actually

develop them.

Opportunity recognition is both a rational and an intuitive search for information

and both social and cognitive interpretation of information in order to recognise

market gaps and to create strategic business concepts, which link the gap and the

concept in order to create new value. Opportunity recognition behaviour is divided

into knowledge acquisition, competitive scanning, proactive searching, innovative

behaviour and collective action (Puhakka, 2002). In the context of this thesis

opportunity recognition, business opportunity recognition and entrepreneurial

opportunity recognition are used as synonyms.

Innovation is the introduction of a new or significantly improved product (good or

service), process, new marketing method or a new organisational method in business

practices, workplace organisation or external relations (Oslo Manual 2005).

Basically, introduction of innovation is a next phase after successful opportunity

recognition process.

Opportunity recognition types

Rae (2007) found that there are seven different types of opportunity and it is

important for the entrepreneur to be aware of the nature of the opportunity and its

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characteristics. Each type of opportunity involves actual or potential market demand.

Some opportunities can be combinations of two or possible more types. However,

one type is normally dominant, and the combination may make them more complex

to manage and potentially more innovative and rewarding. The opportunity types

suggested by Rae (2007) are:

- Knowledge opportunities exist where specialist information, know-how or expertise

can be applied to create value. The “knowledge economy” arises from knowledge

opportunity and can be based on scientific, medical, market or other research,

specialized skill or ability. Universities, research institutes, consultancy practices,

publishers and many others are players in the knowledge economy (Ibid.).

- Technology-based opportunities apply a technology to solve a problem, meet a

need or create a new product or process. The technology may be physical, such as an

engineering or manufacturing process or product, or a chemical, biological or

information-based technology. Biotechnology, physical, material and earth science,

organic and inorganic chemistry and computer programming are all examples of

technology-based opportunity. Whilst there are links and overlaps between the

technology and the knowledge associated with it, in this case it is the application of

technology through innovation which provides the opportunity. Technology-based

opportunity is usually high skill and resource intensive, requiring significant research

and development support and budgets (Ibid.).

- Product opportunities are where existing products can be used to meet market

demand as they are or can be adapted by incremental innovation where new markets

can be found. This means that significant product innovation may not be needed, but

market development is needed to research, prepare the market and promote the

product (Ibid.).

- Service opportunities exist where there is actual or potential demand for a service

by business or public organizations, individuals or groups. Services can include, for

example, health, child and social care, office services, telecommunication, education

and training. A service is intangible, there is no physical product. A service

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opportunity can include “new business model” which provides a service more

effectively or at less costs then competitors (Rae 2007).

- Lifestyle opportunity (sub-set of service sector) is where customers are provided

with an experience which makes their life easier or pleasanter. The fields where such

opportunities arise include leisure, tourism, culture, health, entertainment.

Advantages of lifestyle opportunities are that in a growing economy demand

increases and people have additional money to spend, although a downturn will

reduce consumer spending. Good examples are widely downloaded different

applications for smartphones (Ibid.).

- Physical resource opportunities include the exploitation of land, water or naturally

occurring resources. This includes extracting basic resources, such as oil, gas and

minerals. It also includes land use such as agricultural production, and land, property

and real estate development. The created value is based on a natural or physical

resource, either renewable (such as wind power and agriculture) or finite (such as

minerals). The rapid growth in the production and consumption of bottled drinking

water is an example of physical resource-based opportunity (Ibid.).

- Trading and commodity opportunities are based on buying and selling in relation to

market conditions of supply and demand. They encompass a wide range of trading

opportunities, including wholesale and retail, energy (gas, oil, and electricity),

chemicals, raw materials, semi-manufactured items, food and agricultural produce,

and any commodity which can be bought, traded or sold. For example, online trading

has revolutionized and expanded trading opportunities (Ibid.).

There are 4 types of opportunities suggested by Ardichvili et al. (2003), based on

their origin and degree of development (Figure 1.1.). Market needs or value sought

may be known or unknown. Value creation capability may be defined or undefined.

Defined value creation capability includes general specifications of intellectual,

human, financial and/or physical resources. In this matrix the value sought represents

problems and value creation capability represents solutions. The upper left cell where

the problems and solutions are both unknown may represent the kind of creativity

that is associated with ‘‘dreamers,’’ some designers, and inventors interested in

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moving knowledge in a new direction or pushing technology past its current limits.

The upper right cell where the problems are known but solutions are not, describes

situations in which structured problem solving, including information search, occur.

The goal of opportunity development in this situation is usually design of a specific

product or service to address an expressed market need. The lower left cell where

problems are unknown but solutions are available includes what we usually identify

as ‘‘technology transfer’’ challenges, for example capabilities in search of an

application. Opportunity development here stresses search for applications more than

product or service development. In the lower right cell where both problems and

solutions are known opportunity development involves matching known resources

and needs to form businesses that can create and deliver value (Ardichvili et al.

2003).

Figure 1.1. Types of opportunities. Source: Author, adapted from Ardichvili et al.

(2003)

Unknown Known

Undefined

Defined

“Dreams”

Technology

Transfer

Problem

solving

Business

Formation

VALUE SOUGHT

VALUE

CREATION

CAPABILITY

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Opportunity recognition process

Norhashim et al. (2007) found that business opportunity identification can be a

passive activity where the entrepreneur is presented with fortune by being at the right

time in the right place. From that aspect, the entrepreneur only has to improve his or

her skill of perception. On the other hand, the creation of a business opportunity may

need more active participation by the entrepreneur. Events can be influenced and

encouraged to move along certain routes (Norhashim et al. 2007).

Bhave (1994) found that there are two different ways in the opportunity

recognition process:

1) Externally stimulated opportunity recognition

The decision to start a project precedes opportunity recognition. The decision can be

influenced by the entrepreneurs’ personal and environmental circumstances. For

example, entrepreneur decides to begin at particular stage in his or her persona1 life.

2) Internally stimulated opportunity recognition

Opportunity recognition comes before the decision to start the project. The

entrepreneurs experience the needs that are not fulfilled through available vendors or

offers. They try to find solutions to satisfy the needs (Bhave 1994).

Singh et al. (1999) studied how entrepreneurs turned their ideas into opportunities

and the results were:

- Sought out information or feedback from business associates (52.0%);

- Contacted potential customers (50.0%);

- Discussed idea with friends or family (46.5%);

- Gathered information on competitors (33.6%);

- None, just knew idea was an opportunity (33.2%);

- Prepared financial statements (25.0%).

Many researchers have found that entrepreneurs do not find future opportunities,

they rather build them. According to Barringer et al. (2008), there are three general

approaches entrepreneurs use to identify an opportunity: observing trends, solving a

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problem and finding gaps in the marketplace. The first approach is to observe trends

and study how they create opportunities for entrepreneurs to pursue (Figure 1.2.).

Figure 1.2. Environmental Trends Suggesting Business or Product Opportunity Gap.

Source: Barringer et al. (2008)

According to Barringer et al. (2008) environmental trends like economic factors,

social factors, technological advances, political action and regulatory statutes are

most important to follow. These factors may in themselves create opportunities and

will either positively or adversely affect the ability to exploit the opportunity. The

second approach to identify opportunities is to recognise problems and find ways to

solve them. These problems can be recognised by observing the challenges that

people encounter in their daily lives. Every problem can be turned into opportunity.

The third approach to identify opportunities is to recognise a need that customers

have that is not being satisfied – by either large, established firms or entrepreneurial

ventures. For example, large retailers compete primarily on price by serving a large

group of customers with similar needs. They offer most popular items to mainstream

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consumers. At the same time it leaves gaps in the marketplace – for small clothing

boutiques.

Ardichvili et al. (2003) found that opportunities develop as individuals shape

essential ideas into business concepts. They suggest that opportunity recognition

includes three different processes:

1) Perception (sensing or perceiving market needs and/or underemployed

resources);

2) Discovery (recognising a ‘‘fit’’ between market needs and available

resources);

3) Creation (creating a business concept).

These sub-processes are accompanied by a continuous evaluation in which the

entrepreneur questions and evaluates the opportunity in different stages of the

process (Figure 1.3.).

Figure 1.3. Processes of opportunity recognition. Source: Author, based on

Ardichvili et al. (2003)

According to Ardichvili et al. (2003) perception is the recognition of the presence of

unsatisfied market needs or under-employed resources that can be distributed more

efficiently. Discovery is the stage in which the entrepreneur analyses the existing

supply in terms of resources-product/service-market to investigate the possibility of

new fits either generated more efficiently or that provide added value to the market.

The business concept creation stage relates to the identification and establishment of

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the best solution that satisfies market needs. In addition, evaluation should be present

at each stage of the opportunity recognition process. Evaluation can be either formal

or informal, it can, at any point in the process, lead the entrepreneur either to

develop, implement or reject the business concept (Ardichvili et al. 2003).

The next step after opportunity recognition process is opportunity exploitation,

which can also be called the “Get it done” phase. During this phase it is time to take

advantage of the situation and execute all of the great ideas and projections

ascertained from the three prior phases. The exploitation of an opportunity refers to

those activities committed to the founding and formation of a new venture, or

significant improvement of an existing venture in order to introduce innovative

goods or services to marketplace (Renko 2008).

Key factors in opportunity recognition process

Recognising business opportunities is a challenging task for entrepreneurs.

According to the literature there are two main categories that are both influencing

opportunity recognition: the first is the personal characteristics of entrepreneur and

the second environmental trends.

Starting with personal characteristics of entrepreneur, several studies show that

prior experience or knowledge in an industry helps entrepreneurs to recognise

business opportunities (Shane 2000; Sheperd et al. 2005; Baron 2006; Anis et al.

2012).

Shane (2000) suggested in his study that three major dimensions of prior

knowledge are important in the process of opportunity recognition:

1) knowledge of markets;

2) knowledge of ways to serve markets;

3) knowledge of customer problems.

Sheperd et al. 2005 study results added that knowledge of customer problems

leads to the identification of more opportunities and opportunities that are more

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novel. Blank et al. (2012) emphasises the importance of customers in opportunity

recognition. It is said that founders of products or services who get out of the

building to meet customers early and often, will win because there are no facts inside

buildings. It is important to acquire a deep understanding of customer needs and to

use this knowledge during product development. The most often made mistake by

entrepreneurs is that their understanding about their customers, who they are, what

they need and how to sell them, is based on hypotheses only.

Shane’s (2000) found that information about a technology may be complementary

with an individual’s prior information about how particular markets operate; the

discovery of an entrepreneurial opportunity related to a specific technology requires

prior information about markets. Shane’s (2000) in-depth case studies of eight

entrepreneurs showed that in every case prior knowledge of market led entrepreneurs

to see the usefulness of a technology in solving different customer problems.

Marvel et al. (2006) found that prior knowledge of technology is positively

associated with innovation radicalness while prior knowledge of ways to serve

markets is negatively associated with innovation radicalness. It is a counterintuitive

conclusion: the less one knows about ways to serve a particular market, the better the

chance of using technology to create breakthrough innovations within it (Ibid.).

Recognising opportunity is also a cognitive process. There are authors (Ardichvili

et al. 2003; Baron 2006; Tang 2012) who suggested that entrepreneurs have a “sixth

sense” that allows them to see opportunities that others miss. The sixth sense is

called entrepreneurial alertness, which is defined as the ability to notice things

without engaging in deliberate search (Barringer et al. 2008). At the same time it is

said that alertness is largely a learned skill, and people who have more knowledge of

an area tend to be more alert to opportunities in that area than others (Ibid.).

Tang (2012) presented entrepreneurial alertness as three dimensions:

1) Systematically or non-systematically scanning the environment and searching

information (interactions with others, keeping an eye for new business ideas, reading

news regularly, internet searches);

2) Associating together previously unconnected information (“connecting dots”);

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3) Making evaluations about the commercialisation of the idea (can identify

profitable or high-value opportunities).

As a result of the study Tang (2012) found that all these three dimensions

complement each other and have a large positive effect on opportunity recognition.

Many studies showed that the extent and depth of an individual´s social network

affects strongly opportunity recognition (Hills et al. 1997; Singh et al. 1999;

Ardichvili et al. 2003; Anis et al. 2012). The results showed that individuals’ access

to external knowledge through the social network in which they participate is

fundamental for developing the capacity to recognise new business opportunities.

People who build a large network of social and professional contacts will be exposed

to more opportunities and ideas than people with thin networks.

Opportunity recognition may be also a creative process. The creative thinking is

of great value in recognising opportunities, as well as other aspects of

entrepreneurship (Timmons 1999). Hansen et al. (2011) found that multidimensional,

creativity-based approach to develop opportunity recognition can be fragmented into

five stages:

1) Preparation. It is a background, skills and knowledge that an entrepreneur brings

to the opportunity recognition process. Prior work experience is also important.

2) Incubation. It is a stage during which a individual considers an idea or is thinking

about a problem. Sometimes it is unconscious activity.

3) Insight. Insight is the flash of recognition – when the solution to a problem is seen

or idea is born. It is also called a “Eureka!” experience. In a business context this is a

moment an entrepreneur recognises an opportunity.

4) Evaluation. This stage involves investigating the idea to define whether or not it is

viable.

5) Elaboration . This is a stage during which the creative idea is put into a final form

– the details are worked out and the idea is transformed into something of value, such

as a new product, service or business concept (Ibid.).

Findings from other studies added that from personal characteristics of the

entrepreneur higher education level (Shane 2003; Anis et al. 2012) correlates with

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the bigger number of opportunities recognised. D´Este (2010) found that academics

who combined multiple bodies of knowledge in their research activities were able to

find associations between their research expertise and business related activities, and

they were better equipped to recognise entrepreneurial opportunities. Shepherd et al.

(2005) added that the higher the potential financial reward, the greater the number of

opportunities identified, although these opportunities are not necessarily more

innovative. St-Jean (2011) found that mentoring may be a good way to support

novice entrepreneurs in the start-up and opportunity recognition process and also in

the development of their enterprises.

Fuduric (2008) stressed the importance of environmental factors. It is important

also to follow economic, political, industrial, demographic and cultural conditions.

Some of the conditions supporting entrepreneurial opportunity discovery and

exploitation are, for example, economic stability with a transparent rule of law as

important aspects of entrepreneurial action. Industry conditions that have a high level

of R&D intensity or are service oriented tend to be breeding grounds for

entrepreneurial activities. Demographic conditions like high population density and

urbanization tend to support resource collection, the availability of diverse

information and knowledge, and larger networks. Cultural conditions with more

acceptance of risk taking behaviour and failure tend to have more entrepreneurs

(Ibid.).

Can opportunity recognition be learned?

The basic question relating to opportunity recognition, and one with important

implications for entrepreneurs is the following: Can individuals be trained to be

more efficient at this task? In other words, can entrepreneurs learn to be more

successful in recognising opportunities? Hills et al. (1997) found that teaching

creativity skills can enhance opportunity recognition by entrepreneurs, and that

experimentation and continuous learning are essential to that process.

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Dutta et al. (2005) saw the opportunity recognition as a learning process. Dutta et

al. (2005) suggested that entrepreneurs are essentially involved in a process of

learning when they engage with entrepreneurial opportunities; as the entrepreneurial

venture evolves through its life cycle, learning transfers across levels – from the

individual entrepreneur to external/internal partners and the entire firm. The business

idea goes through a process where it evolves through interaction with other parties

before actual implementation.

Baron (2006) said that individuals can be trained to be more proficient at

recognising opportunities by teaching them not only to be “alert” to opportunities or

to search actively for them, but rather, to search in the right places and in the best

ways. Specifically, they should focus their efforts on identifying changes in

technology, demographics, markets, and other pertinent factors that play an

important role in the success of almost any industry. Second, while engaging in such

searches, they should also focus on actively seeking to identify ways in which these

trends and changes are linked or connected. Baron (2006) also suggested that

opportunity recognition can be enhanced by providing potential entrepreneurs with a

very broad range of experience. The broader this experience (e.g., the wider the

range of positions held, the greater the number of different industries), the richer the

prototypes and store of exemplars will be, and hence, the more likely the

entrepreneurs will be able to perceive connections between seemingly unrelated

events or trends, especially connections that are not immediately apparent to any

casual observer.

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1.2. Technology-based opportunity recognition

Entrepreneurial opportunities grow from the new knowledge and source for this

information is often a technology. Renko (2008) found that entrepreneur recognises

an opportunity based on technology knowledge and his/her creativity (Figure 1.4.).

Figure 1.4. Technology knowledge as a source of entrepreneurial opportunities.

Source: Renko (2008)

Norhashim et al. (2007) found that identifying opportunities that underlies any new

venture is especially challenging when it is technology-based. Very often a leap of

faith is necessary, giving the idea that entrepreneurs are brave and risk loving.

Norhashim et al. (2007) added that technology-based business projects usually

require huge R&D costs and in the end it is hard to be certain of market acceptance.

Even if the market will accept it - the price it is willing to pay may not correspond

with the amount of money poured into R&D.

Technology-based opportunities apply a technology to solve a problem, meet a

need or create a new product or process. As there can be links and overlaps between

technology and knowledge associated with it, in this case it is the application of

technology through innovation which provides the opportunity. Technology-based

opportunity is usually resource intensive, requiring significant research and

development support and budgets (Rae 2007).

Unfortunately technology by itself will not lead to success (Trott 2002). Before

technological change leads to new products or markets, entrepreneurs have to

Technology

knowledge

Entrepreneur s

creativity

Entrepreneurial

opportunity

recognized

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23

discover the technological opportunities and its application area (Renko 2008).

Unfortunately companies are not always able to track all the technological

opportunities available for them within their boundaries (Parhankangas et al. 2003).

The major problem for established firms is advancing technologies toward

commercialization (Rice et al. 2001). Baron et al. (2008) gave an example of

different forms of technology-based entrepreneurial opportunities, see Table 1.1. The

table illustrates that any given technological change can be developed in different

ways: through development of a new product or service, selecting a new market or a

new method of production.

Table 1.1. Different forms of technology-based entrepreneurial opportunities

Technological

change (source

of opportunity)

Form of the

opportunity

Example of a

business idea

Reasoning

Internal

combustion

engine

New product or

service

Automobile The internal combustion engine is

used to power automobiles.

Internet New way of

organising

Online book sales The Internet allows people to sell

products without retail outlets.

Refrigeration New market Refrigerated ship The refrigerated ship allows ranchers

in one country to sell their meat in

another country.

Computer New method or

production

Computer-aided

design

The computer allows designers to

make products without building

physical prototypes.

Source: Baron et al. (2008)

Norhashim et al. 2007 said that when diving into technology-based business

opportunities, it is important to understand what stimulated the opportunity. Was it

market driven where a need has been identified and the venture is all about providing

a solution to the problem? Or is it more technology driven where a new finding or

development has occurred and suitable avenues for commercialization is the primary

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focus? It comes to looking for solutions to adopt versus looking for problems to

solve. In either case, technology plays a crucial role in facilitating the process. It

means the technology-based opportunity recognition takes place only when the

entrepreneur is able to identify the market needs and design a product or service to

satisfy these needs using an adequate and potentially available technology within an

organisation possessing the right resources and capabilities (Norhashim et al. 2007).

Becheikh et al. (2006) stated that technology-based opportunity recognition is a

key factor in a firm’s competitiveness. Introducing technological innovations is

unavoidable for firms which want to develop and maintain a competitive advantage

or gain entry into new markets. Subrahmanya (2010) found that irrespective of the

dimensions of technological innovations, companies intend to achieve either cost

effective, improved quality, improved versions of existing products, or altogether

new products. According to this research the major objective of small and medium-

sized enterprises’ technology-based innovation was enhancement of competitiveness

in the form of quality improvement, cost reduction, extension of product range and

replacement of phased out products, apart from penetrating the international market.

Innovative SMEs registered higher growth rates relative to non-innovative SMEs in

terms of not only sales turnover but also employment and investment. The overall

analysis lends substantial credence to the argument that technology-based innovation

contributes to the growth of firms.

The model proposed by Park (2005), Figure 1.5., suggested that technology-based

opportunity recognition in firms is an interaction between three individual

components: the entrepreneur, the experience within the firm and technology. Park

(2005) added that often the focus is on the knowledge of markets and the technical

knowledge and its role in the transforming of developing technical breakthroughs

into real products and processes has been mostly ignored. This model proposes that

technology-based innovation requires a mix of technical, entrepreneurial and

managerial experience to turn a technology into market success.

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25

Figure 1.5. Three components of the opportunity recognition process for high-tech

firms. Source: Park (2005)

Organizations cannot afford to just observe what developments might occur and to

only come in when the dominant design emerges. Organisations that use the watch

and wait tactics will not be the first movers and miss out on the opportunity to be

market leaders (Norhashim et al. 2007).

Dealing with new or non-core technologies

Parhankangas et al. 2003 described that non-core technologies are usually not

directly linked to the core businesses of the company or used in the parent

corporation’s current or future products. Although non-core, these technologies may

be marketable and exploitable in other organizations and contexts. It is important to

note that the definition of non-core technology is time and context-dependent. The

INNOVATION

Knowledge

and experience

of the firm

The

entrepreneur

Technology

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distinction between core and non-core technologies is made at a certain point of time

based on the current corporate strategy and competitive environment.

Technology-based firms rarely have clear strategies for dealing with what they see

as their non-core technologies. This is acceptable by the contemporary business logic

since, by definition, what is considered non-core technologies by a parent firm is

defined as not contributing to competitive advantage. As such, non-core technology

ventures are often discontinued, regardless of their potential to prosper in

organizational environments that would nurture them (Parhankangas et al. 2003).

Companies usually recognise the importance of leveraging key capabilities and

creating advantage from what the company does best technologically. Rice et al.

(2001) found that development of radical technologies moved the entrepreneurs’ core

technologies into unknown territory, it means stretching the company´s technology

development capabilities.

Rice et al. (2001) found that activating non-core technology-based opportunity

recognition in a company typically starts with technologists who are the generators

of ideas. Du et al. (2013) found that entrepreneurs usually have a tendency to

collaborate with R&D in their core technological fields, but collaborations in firms’

non-core technological fields benefit them the most. At the same time such

collaboration partnerships are hard to establish if the enterprise has little or no

background knowledge in place. Du et al. (2013) suggested that in order to benefit

from collaborations in firms’ non-core technological fields, firms may need to first

gain some background knowledge related non-core technologies.

Parhankangas et al. (2003) showed that the strategies of managing non-core

technologies within large corporations are divided into non-systematic and

systematic approaches. Non-systematic approach refers to a process that is not

clearly defined and where non-core technologies are managed case by case.

Corporations applying a more systematic approach have clearly defined procedures

for managing the technology-based assets outside their core. Based on this study, less

than half of the corporations had a clear method for technology development.

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27

Parhankangas et al. (2003) described that there are usually three approaches to the

management of non-core technologies in the companies (see Figure 1.6.).

Figure 1.6. Approaches to the management of non-core technologies Source:

Parhankangas et al. (2003)

The „Ad Hoc“ approach reflects that there are no systems established in the

company, in „Lone Ranger“ type some efforts are already made and in case of

„Institutional“ model there are clear strategies and methods established in a company

to deal with non-core technologies.

Parhankangas et al. (2003) suggested that companies seeking to extract the

maximum value from their technology-based assets should review their technology

portfolios on a regular basis. Without systematic and continuous procedures,

companies may have difficulties in identifying new or non-core technologies. While

conducting the technology portfolio review, executives should keep in mind that

sometimes the distinction between a core technology and a non-core technology is

unclear, and many technologies may fall in the grey area, where the future value of a

technology to the parent is extremely difficult to evaluate. The following

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recommendations were given to enterprises in order to review the technology

portfolio (Parhankangas et al. 2003):

1) Technology strategy should be aligned with the overall corporate strategy

balancing both the short and long-term objectives and product/technology mix.

2) A patent and idea database should be established to get an understanding of the

emergent technologies possessed by the firm. These databases should be reviewed on

a regular basis to identify potential non-core technologies.

3) The technology-based projects under the threat of termination should be reviewed

in order to identify technologies with potential outside the parent firm.

4) Technologies should be divided into three categories:

- Technologies that form the basis of competitive advantage (core

technologies);

- Technologies that are not needed now or in the future (non-core

technologies);

- Technologies that do not seem to be important right now, but their future

value is still to be defined (potential non-core technologies).

5) Non-core technologies should be considered as business opportunities and

business assets rather than just legal assets.

6) The non-cash value of a non-core technology should be also taken into account,

including the synergies with the company’s current or future core technologies.

1.3. Opportunity recognition in healthcare

Varkey et al. (2008) argues that opportunity recognition has become a critical

capability of all healthcare organizations. The innovation in healthcare can be

described as the successful implementation of a new idea in a way that it is giving a

great value for some or many of the stakeholders. Porter (2010) specified that value

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29

for the patient is the central goal in healthcare. In a well-functioning healthcare

system, the creation of value for patients will determine rewards for all system

actors. Omachonu et al. (2010) defined healthcare innovation as the introduction of a

new concept, idea, service, process, or product aimed at improving treatment,

diagnosis, education, outreach, prevention and research, and with long-term goals of

improving quality, safety, outcomes, efficiency and costs. Lazarus et al. (2011)

found that the word innovation is often overused in healthcare, frequently espoused

in well-intended promotional materials lacking in any real substance. True

innovation is a concept with an inherently unique capacity to align people, foster

creativity, and bring significant improvement to existing processes or

transformational change to whole systems and industries.

The last decades have already produced a lot of innovations in the healthcare

industry. Some of these are innovations in the process of care delivery,

pharmaceuticals and surgical interventions (Omachonu et al. 2010). Physicians can

instantly share imaging and test results with colleagues in the same building or across

the country or continent. Patients are able to have immediate access to their own

records and transmit or carry it from one healthcare provider to another (Bessant et

al. 2013).

At the same time there are significant changes and serious challenges ahead in the

healthcare industry. As countries and organizations aim for ways to control

healthcare spending, address the growing needs of an ageing population, and respond

to more informed and empowered consumers, the opportunities for innovation have

increased exponentially (Varkey et al. 2008).

Current problems in healthcare

What are the issues driving opportunity recognition and need for innovations in

healthcare? In many countries around the world healthcare costs are increasing at an

unsustainable rate which considerably exceeds GDP growth. For several major

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countries, such as the UK, France, and Germany, healthcare costs consume around

10% of GDP and are increasing at twice the rate of economic growth (Bessant et al.

2013). USA is spending more per capita on healthcare than any other country, 17.9%

of GDP in 2011. An ageing population, improving economy and President Obama’s

healthcare overhaul will push spending on medical services to almost 20 per cent of

USA gross domestic product by 2021, the government has projected (Wayne 2012).

As global population is expanding, the healthcare sector is coming under

pressure. In the developed world, ageing population and extended life expectancy are

leading to an increasing prevalence of chronic and expensive-to-treat diseases. In the

developing world, fast economic growth and an increasing middle class have

significantly increased demand for health services, while governments at the same

time are struggling to bring social services to remote and underserved areas (Bessant

et al. 2013). The growing shortage of medical personnel, nurses and other key

practitioners advances the argument in favour of more innovation in healthcare

(Omachonu et al. 2010). In addition to that, a trend towards modern citizens living a

less healthy lifestyle than previous generations has resulted in increasing volume of

lifestyle diseases such as diabetes, cardiovascular conditions and chronic obstructive

pulmonary disease (When remote care…, 2010).

It is also important to understand the evolution of the global burden of disease

(GBD) and the role of major health risks in order to develop effective solutions to

improve global health and also in order to identify the range of technologies that are

needed (Promoting Access to…, 2012):

- Large declines in mortality between 2004 and 2030 are projected for all of the

principal communicable, maternal, perinatal and nutritional causes of death,

including HIV/AIDS, tuberculosis and malaria.

- The ageing of populations in low and middle-income countries will result in a

significant increase in total deaths due to non-communicable diseases (NCD)

over the next 25 years.

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31

- The leading global risks for mortality in the world are high blood pressure,

tobacco use, high blood glucose, physical inactivity, and overweight and

obesity (Promoting Access to…, 2012).

There is a clear need to recognise opportunities and introduce innovative solutions

in order to improve the healthcare by better prevention and delivery of care.

Specifics of healthcare industry

It is essential to define a value to understand any industry and its driving forces.

What is the value in healthcare?

In the healthcare market Porter (2010) defined value as patient health

outcomes achieved relative to cost of care. He said, „In a well functioning

healthcare system, the creation of value for the patients will determine

rewards for all system actors.“ If value improves, patients, payers, providers, and

suppliers can all benefit while the economic sustainability of the healthcare system

improves.

Røtnes et al. (2009) found that opportunity recognition in healthcare is a complex

issue. The healthcare sector is a hierarchical sector, with a complex of users and

buyers at all levels. How can an innovative product get access in a system where the

user, and even not necessarily the buyer make the decision on whether an innovation

product will be purchased? There is not one customer in the healthcare sector. The

buyer usually is not the same person as the user. Doctors, nurses, patients with all

kinds of needs, administrative staff are only examples of different users. This makes

the market screening a complex process. Further, some user groups constitute a

critical mass, while others are few and need individually adjusted products and

services. Too small markets remain uninteresting for both companies and investors.

Another barrier to selling a new product to the healthcare sector is that even when the

sector decides that the product is needed the sector is subject to strong regulations

and this may complicate the purchase. These specific demands for testing and

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documentation are often underestimated by companies and thus constitute a barrier

for successful innovation (Røtnes et al. 2009).

In any field, performance and accountability improvement depends on having a

shared goal that unites the interests and activities of all stakeholders. In most fields

the preeminent goal is value. Instead of value, healthcare stakeholders have myriad,

often conflicting goals, including access to services, profitability, high quality, cost

containment, safety, convenience, and patient satisfaction (Porter, 2010). For

example, Omachonu et al. (2010) described five key stakeholders in the healthcare

industry, each with its unique and deliberate needs, wants and expectations as

described in Table 1.2. Omachonu et al. (2010) suggested that any attempts at

modelling the process of opportunity recognition in healthcare must take into account

all of these stakeholders.

Table 1.2. Stakeholders in the healthcare industry

Stakeholders Needs, Wants and Expectations

Physicians and Other Care Givers Improved clinical outcomes, improved diagnosis and treatment

Patients Improved patients’ experience, improved physiological well-

being, reduced waiting time, reduced delay

Organizations Enhanced efficiency of internal operations, cost containment,

increased productivity and quality and outcomes improvement

Innovator Companies Profitability, improved outcomes

Regulatory Agencies Reduced risks and improved patient safety

Source: Omachonu et al. 2010

Purely quantitatively, in terms of number of people involved, patients are the largest

group. Patients have gained enormous experience, either directly through their own

health records, or indirectly through the suffering of relatives or friends (Bessant et

al. 2013). It is important also to remind that there is currently a transformation to

outcomes-focused and patient-centric healthcare. Until now often the hospital or

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33

physician’s office was the centre of healthcare. Sharing of the patients records, with

advances in telecommunications creating the potential for remote monitoring, are

changing how clinicians interact with patients. At the same time, social media and

the internet are changing how patients interact with their caregivers. Patients are

getting more informed and empowered (Bringing patients…, 2013).

Barriers to opportunity recognition and innovation in healthcare

Every year, billions of dollars are spent in countries globally to support the

development of evidence-based health innovations, interventions, practices, and

guidelines designed to improve human health. But only a small fraction of these

innovations are ever implemented in practice, losing billions along the way

(Herzlinger 2006; Chaudoir et al. 2013). Unfortunately about one-third of medical

spending is not linked with improved outcomes, considerably cutting the efficiency

of the medical system and leading to massive adverse effects. The application of

evidence based health innovations is a challenging process. It involves consideration

of a wide range of multi-level variables related to the innovation itself, the local

implementation context, and the behavioural strategies used to implement the

innovation (Chaudoir et al. 2013). Innovators encounter many barriers, including

difficulty generating funding, restrictive regulations, and other actors seeking to

protect their territory (Herzlinger 2006). Cutler (2010) found that also lack of

information and poor incentives are barriers to opportunity recognition and

innovation in healthcare.

The healthcare system builds an array of barriers to innovation. Herzlinger (2006)

offered the following guidelines to overcome these obstacles and move healthcare

innovations forward:

1) Understanding the forces affecting innovation

– Players. The healthcare sector has many stakeholders, each with a different

goal. Innovator can be helped or attacked by powerful stakeholders. These players

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can have substantial resources and power to influence the public policy and opinion.

For example, hospitals and doctors sometimes blame technology-based product

innovators for the healthcare system’s high costs. The competing interests of

different groups are not often clear or permanent. Innovators should recognise and

work with different players.

– Funding. Innovation in healthcare presents two types of financial challenges:

the first is the funding of innovation’s development and secondly, figuring out who

will pay for the product or service. One problem is the long investment time needed.

Investors in a healthcare technology company may have to wait ten years even to

find out whether a product will be approved. The second problem is that many

sources of capital are not familiar with the healthcare sector and it is difficult to find

investors. A source of investor confusion may be the healthcare sector’s complex

system of payments or reimbursements, which often come from a third party like the

government or a private insurer, but not final consumer.

– Policy. Government regulation of healthcare sector can sometimes support

innovation, but sometimes hinder it. It is important for innovators to understand the

wide network of regulations that may affect innovation and also how and by whom

those rules are enacted, modified and applied.

– Technology. As technology develops, understanding how and when to adopt or

invest in it is very important. If entrepreneur moves too early, then the infrastructure

to support the innovation may not yet be in place; if to wait too long, then time to

gain competitive advantage may have passed. It is also important to keep in mind

that competition exists not only within each technology, but also across different

technologies.

– Customers. With access to comparative information, consumers may support or

reject innovations. Those who suffer from different diseases can pressure healthcare

providers for access to medicines, diagnostics, services or devices that they consider

effective. It is clear that consumers can spend large sums from their own pocket for

useful healthcare services. An entrepreneur that recognises empowered consumers

can greatly boost the adoption of an innovation.

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35

– Accountability. There is also a need to address the demands of agencies that

audit the healthcare sector performance.

2) Managing and overcoming these forces

Every healthcare innovation, whether focused on satisfying consumers, developing a

new technology, or designing an improved business model, stands a better chance of

succeeding when they deal with the forces that affect innovation efforts (Herzlinger

2006).

Technology-based opportunity recognition in healthcare

Herzlinger (2006) suggested that three kinds of innovation can make healthcare

better and cheaper. One changes the way consumers buy and use healthcare. The

second uses technology to develop new products and treatments or otherwise

improves care. The third generates new business models, particularly those that

involve the horizontal or vertical integration of separate healthcare organizations or

activities. All three options are described as follows (Herzlinger 2006):

– Consumer focused. Innovations in the delivery of healthcare can result in more

convenient, more effective and less expensive treatments for today’s time-stressed

and increasingly empowered healthcare consumers. For example, a service provider

can focus on becoming more user-friendly. Patients are like other consumers, they

want not only a good product, but also ease of use.

– Technology. New drugs, diagnostic methods, drug delivery systems, and medical

devices offer hope of better treatment and of care that is less costly, disruptive, and

painful. For example, implanted sensors can help patients monitor their diseases

more effectively. And IT innovations that connect many islands of information in the

healthcare system can both vastly improve quality and lower costs by, for example,

keeping a patient’s various providers informed and thereby reducing errors of

omission or commission.

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– Business model. Healthcare is an astonishingly fragmented industry (many general

practitioner offices, thousands of small firms offering healthcare related products or

services). Innovative business models, particularly those that integrate healthcare

activities, can increase efficiency, improve care, and save consumers time, for

example, rolling a number of independent players up into a single organization,

horizontal integration, to generate economies of scale, or bringing the treatment of a

chronic disease under one roof, vertical integration - making the treatment more

effective and convenient.

The history of healthcare has been in many ways a story of technology-based

opportunity recognition. But alongside the constant discoveries and inventions,

healthcare practitioners and patients have not always recognised the potential of the

latest innovations. This was stated in The London Times about the stethoscope in

1834: „That it will ever come into general use, notwithstanding its value, is

extremely doubtful; because its beneficial application requires much time and gives a

good bit of trouble both to the patient and the practitioner; because its hue and

character are foreign and opposed to all our habits and associations.” (Top Three

Healthcare…, 2013). It is the same with development of healthcare technology today

– its power has yet to be fully recognised. While many technological solutions (for

example, electronic health records) are now accepted, there are probably more wide-

ranging opportunities to be recognised.

Omachonu et al. 2010 found that in order to fully understand the opportunity

recognition and innovation in healthcare, it is critical to answer the questions: a) Are

innovations chasing a need; or b) Are needs chasing innovation? In the first case,

new or existing technology searches for a problem to solve, whereas in the second

case, new or existing problems chase after solutions in the form of innovation. Stated

differently, it comes down to solutions looking for problems to solve versus

problems looking for solutions to adopt. In either case, technology plays a pivotal

role in facilitating the process. Figure 1.7 is an example of how the process of

healthcare innovation works Omachonu et al. (2010). Many of the opportunities in

healthcare have been identified by healthcare stakeholders (patients, patient

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37

advocacy groups, healthcare organizations, physicians, other healthcare

professionals, etc.).

Figure 1.7. The Process of Healthcare Innovation. Source: Omachonu et al. (2010)

Omachonu et al. (2010) added that the next challenge lies in determining whether the

opportunity can be met internally or by a healthcare innovation company. If the

innovation originates from within the healthcare organization, it is tested, modified

and adopted. If it does not originate from within the healthcare organization, the need

is instead met by a healthcare technology company that develops, tests and markets

the technology to healthcare organizations. In certain cases, a healthcare innovation

company takes what might be an imperfect attempt at innovation from a healthcare

organization and refines it into a better product, and then markets it to healthcare

organizations. The limitations in the resources available to the healthcare

organizations force them to partner with a healthcare innovation company to create a

product that meets their needs.

Consumer

Needs

R&DPhysicians/

Healthcare

Professionals

Healthcare

Organizations

Consumer

Advocacy

Groups

Patients

Innovation

Companies &

Universities

Respond to

Needs

Internally

Grown

Innovation?

Government

Agencies

Develop

And Adopt

Develop

And Market

New

Innovation

No

Yes

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There are three main technology trends which affect future of healthcare (Top

Three Healthcare…, 2013):

1) The first is size. The scale of digital technology is amazing. For example, in 2015,

the world will create data equal to 120,000 times the total of all earlier written words

in history. This amount of data will be created by powerful computing, stored in the

cloud and available from a growing range of different devices.

2) The second is a shift to individuals. There is a trend for greater customization of

offers for specific person. Websites like eBay and Amazon are already tracking

individuals shopping habits and recommending goods or special offers accordingly.

3) The third is that technology is more and more social. Social networks are not

anymore just places to find friends. Networks, for example, Facebook, have helped

create interlinked communities of users. Consumers produce their own content in

addition to accessing and editing what has been created by others (Top Three

Healthcare…, 2013).

There is a growing body of evidence that technology can be brought to bear on

nowadays challenges in healthcare, not only by providing care to remote or

underserved populations, but also by reducing the overall health system costs. For

example, telehealth – remote exchange of data between a patient and a healthcare

professional – has already been proven to enhance patient care and reduce costs

(Care in a…, 2012). A greater diversity of healthcare technologies will be needed in

order to meet the challenges presented by the evolving GBD within a wider context

of preventive measures focusing on lifestyle, nutrition and environmental factors

(Promoting access to…, 2012). KPMG asked executives from healthcare industry

and found that they expect that health information technology will be most effective

trend in curbing costs in that sector (see Appendix 1). Evidence-based medicine,

disease management, and pay for performance from payers as other effective trends

followed (Transforming Healthcare… 2012).

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39

2. RESEARCH METHODOLOGY

This chapter will point out the research problem and objectives of the thesis. The

research question and the expected outcome of the study are also established in this

chapter. In addition, the author will describe the research strategy, including

methods, data analysis and research data.

2.1. Research strategy

The theoretical foundations of this thesis described the importance of entrepreneurial

opportunity recognition, processes, key factors and specifics of technology-based

opportunity recognition. The theoretical part also covered current and future

problems in healthcare industry and the need for technology-based innovations in

that sector.

Based on the theoretical part of this thesis, the case selection for this study was

settled. The author decided to investigate healthcare technology companies because

the technology-based innovations are believed to be one of the options to solve at

least some part of the healthcare industry problems. At the same time, companies are

not always able to identify all the technology-based opportunities available for them,

neither have they clear strategies to deal with that. The main tasks of the current

research were to add some new findings to the theoretical construction of opportunity

recognition and technology-based opportunity recognition, but also to complement

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and specify previous findings by focusing the research on technology-based

opportunity recognition in healthcare technology companies.

The research problem of this thesis is that companies are not always able to

recognise the technology-based opportunities available for them.

The first question of this research is to understand how healthcare technology

entrepreneurs recognised the opportunities on which their current innovations (new

products or services) were built on. The second question of the research is to find out

how entrepreneurs identify new technologies outside their core competence (non-

core technologies).

The research objective is to enhance technology-based opportunity recognition

capability in healthcare technology companies. The expected result of this thesis

work is to suggest a model for enhancing technology-based business opportunity

recognition capability in healthcare technology companies based on research results.

2.2. Research methods

Qualitative research design and methods were chosen for the current research.

Multiple-case study

The author chose a case study research, which is a suitable approach regarding the

research problem and questions. According to Yin (2009), case study is a preferred

research method for a “why” or “how” question and when the focus of the thesis is

on real-life events such as small group behaviour or organizational processes, which

the current entrepreneurial opportunity recognition topic is.

Case studies can cover multiple cases and then draw single set of “cross-case”

conclusions. Each individual case study consists of a “whole” study, in which

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41

evidence is sought regarding the facts and conclusions for the case; each case´s

conclusions are considered to be the information needing replication by other

individual cases. The multiple-case study design is the selection of two or more cases

that are believed to be literal replications, such as a set of cases with exemplary

outcomes in relation to research questions. It is suggested that if possible the

multiple-case studies should be chosen, because of the “vulnerability” of single-case

designs. Analytic benefits from having two or more cases may be substantial (Yin

2009). The author chose a multiple-case study, which is appropriate because having

multiple cases was helpful to strengthen the findings from entire research.

Research sample

Choosing the right research sample for qualitative interviews was important to reach

a credible result. The participants were chosen according to the research question to

find out how healthcare technology entrepreneurs recognise opportunities and

identify non-core technologies.

The author chose the participants according to the criterion that he or she had to

be directly involved in the opportunity recognition process of the healthcare

technology company or start-up. Nine representatives from different healthcare

technology companies agreed to give input to this research, six from companies with

the head-office in Estonia, one from Finland, one from UK and one from USA. The

research sample is presented in Appendix 2.

In-depth interviews

The research for the master’s thesis was carried out using in-depth interviews.

During the in-depth interviews it is possible to ask respondents their opinions. The

interviewees could also suggest other persons to be interviewed (Yin 2009). This

data collection method was chosen because the thesis is focused on entrepreneurial

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opportunity recognition that can be influenced by many different key factors, which

is better to investigate through experiences of people directly related to that issue.

The author chose the type of semi-structured interview. In this type of interview

the researcher relies on a set of prepared questions that cover the main topics for the

respondent to address. At the same time there were few if any multiple choice

answers and the respondents were encouraged to expound at length in their own

words. The framing and wording of the answers are the key parts of what the

interviewer wants to learn. The semi-structured interview ensures that respondents

answer a similar set of questions and that similar topics will be addressed in all the

interviews (Scott et al. 2013).

The author of the thesis set the focus on informing the interviewees in advance by

e-mail about the context of the thesis and the research problem. This way the

participants were encouraged to produce information that acknowledges the

perspectives of the research and the topic will not spread. The interview framework

determined the questions and topics to be asked, but not how the questions were

asked. This way the researcher was flexible to leverage the background of each

participant in the best possible way. The research focused on nine different

healthcare technology enterprises, especially on investigation of entrepreneurial

opportunity recognition processes and non-core technology identification.

The questionnaire contained four identical open end questions for each

interviewee. The semi-structured interviews allowed adding complementary

questions for clarifying an answer or elaborating the participant’s opinion about a

certain topic even further. The questions were open ended, which gave the

participants greater freedom in formulating their answers. The researcher’s goal was

to find patterns between the answers when put into the previously established context

of the research.

The questions in the questionnaire were derived from the master’s thesis research

problem and objective. The questionnaire had two types of main questions. The first

two questions were related to the understanding of how healthcare technology

entrepreneurs recognise the opportunities which their innovations (new products or

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43

services) were built on. The other questions were related to finding out if and how

healthcare technology entrepreneurs identify new technologies outside their core

competence (non-core technologies) in order to use them to develop their current or

new products or services.

The interviews were carried out by the author mostly in face-to-face meetings

(six), by telephone (one) or by e-mail (two), in case the interviewee was not living in

Estonia. The interviews were carried out between 26th

of April and 15th

of May 2013.

The interviews during face-to-face meetings were audio recorded, and during the

telephone interviews the information was written down by the author, to capture all

the nuances of wording and framing.

The length of the interviews was not determined because it depended on the

experience of the participant and how much the researcher could leverage this

knowledge.

There was the issue of confidentiality. The participants were asked if all

information learned from their interviews can be used in the master’s thesis. The

interviewees could ask to stay anonymous.

The main questions of the interviews are presented in Appendix 3.

2.3. Research data

Data analysis

Data analysis was the last part of the research process, where the data were

interpreted in relation to the research context. Data analysis is the most important

part of research, especially in qualitative research, where the author has a lot of

freedom to interpret and conclude the data according to his or her own choice.

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The general data analytic strategy for this research was relying on theoretical

foundations. It means that theoretical orientation was guiding the case study analysis

and it helped focus attention to certain data and ignore other data (Yin 2009).

The data analysis of the master’s thesis was carried out through a thematic

analysis. Thematic analysis is a method for working through the gathered data by

identifying, analysing and reporting patterns or themes that emerge in the data. It is

commonly used to organize and describe data in a qualitative research process. This

analysis method is based on these predetermined themes, often identified through a

coding scheme (King et al. 2010). The accounts of qualitative interviews will be

treated as data sources for finding out about the reality, experiences or thoughts

about the topics under investigation. Analysis of the interviews started immediately

after these were conducted and in parallel to the still pending interviews in order to

preserve the sense created by the author during the interview.

In conclusion, the author finds that the methodology chosen for this study was

effective. After thematic analysis of the interviews the author presents the research

results where the outcomes of the interviews are compared with the theories and

studies based on the literature review. The model for enhancing entrepreneurial

technology-based opportunity recognition in healthcare technology companies will

be proposed based on the results.

Research data

The following methods were used to collect data: semi-structured interviews and

secondary data, including companies´ homepages in the internet, previous studies

and reports on relevant fields like opportunity recognition and healthcare industry

specifics. Table 2.1. summarizes the data sources, the time window and quantities of

data.

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45

Table 2.1. Research data sources, the time window and quantities of data

Data Time window Number

Qualitative interviews with healthcare

technology company representatives

April – May 2013 9 interviews

Case companies’ home pages in

internet

2013 9 web pages

Literature review – research about

entrepreneurial opportunity

recognition

1994-2013 20 researches

Literature review – healthcare industry

reports and studies

2007-2013 14 reports/ studies

Source: Author

2.4. Limitations and implications for future research

Empirical research is often with limitations. The author can distinguish the following

limitations in the study. The first limitation relates to the generalizability of the

suggestions made in the thesis. The empirical part of the thesis was based only on

findings of healthcare technology companies. To gain a more general understanding

of the opportunity recognition topic and technology-based opportunity recognition

other industries as well as differences between the industries should be researched.

The second limitation comes from the sample selection. Most of the case

companies are based in Estonia. It was chosen by the author because of the intention

to carry out mostly face-to-face interviews, which are more informative compared to

telephone interview or written communication. To gain a more international view of

the opportunity recognition topic and technology-based opportunity recognition more

case companies from other countries should be researched as well.

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The third limitation is that correlation between companies’ opportunity

recognition methods and business success was not measured during this research and

it could also be subject for future research.

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47

3. CASE DESCRIPTION AND RESULTS

This chapter starts with brief descriptions of case companies. After that the key

information collected about opportunity recognition process and identification of

new technologies from the case companies combined with the literature review will

be discussed.

3.1. Overview of case companies

AlterG

AlterG Inc. offers a solution for people to exercise with less impact and rehabilitate

faster from injuries, established in 2004, headquarter in California, USA. Based on

NASA “differential air pressure” technology, Anti-Gravity Treadmills enable

individuals to improve mobility and health, recover from injury and surgery more

effectively, overcome medical challenges that limit movement, and enhance physical

performance. Customers include sports teams, hospitals, physical therapy clinics,

skilled nursing facilities and performance centres (AlterG 2013).

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Cognuse

Cognuse produces and manufactures systems and devices specifically for cognitive

rehabilitation. Their clients are professional health care service providers who

specialize in brain health treatments, diagnostics and rehabilitation services like

hospitals with in-house mental health rehabilitation, mental health rehabilitation

clinics and elderly care institutions. Project started in 2005, headquarter in Estonia

(Cognuse 2013).

Docobo

Docobo Ltd is a UK healthcare solutions provider involved in management and

prevention of long term conditions (LTC), established in 2001. The company has

developed a remote monitoring service for LTCs, called doc@HOME, and is

developing a focused range of related services and products to expand its portfolio.

The telehealth service offers care providers an integrated low cost solution for the

collection, management and analysis of essential patient related data, and enables

efficient interaction between clinicians and patients at home (Docobo 2013).

LabToWellness

LabToWellness is a healthcare technology company developing a cloud-based IT

platform for healthcare organisations to deliver better personalised health reports.

Secure and adaptable IT system enables automated delivery of personalised, visual-

intensive and recommendation-rich health and wellness reports for both consumers

and medical professionals. Company was established in 2011 in Estonia

(LabToWellness 2013).

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49

EdgeWise

EdgeWise is a privately held ICT company with a competence in the field of

eHealth, established in 2012 in Estonia. Together with the international network of

universities and leading healthcare providers they have personalized eHealth

applications for chronic disease management and prevention called Edgewise

Professional (EdgeWise 2013).

Flick Diet

Flick Diet LLC is a biotechnology start-up established in 2012 and located in

Estonia. They are developing consumer genomics applications. Flick Diet's method

uses modern biotechnology methods to review gut bacteria and DNA based on

research. The results will suggest what kind of foods is appropriate for a person and

which is not (Flick Diet 2013).

Mendor

Mendor is a Finnish company, established in 2010. It is committed to the design,

development and marketing of advanced diabetes management products. Mendor has

launched a portable all-in-one blood glucose meter and web-based software

application for the daily management of diabetes (Mendor 2013).

LifeInU

LifeInU is a start-up company and their product is being developed at Tallinn

University of Technology. The product is a remote monitoring system for pregnant

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women in order to prevent pregnancy complications and miscarriages (LifeInU

2013).

Quattromed

Quattromed HTI Laboratories Ltd is the privately held company in Estonia,

established in 1995. The core competence of the company is to offer medical

laboratory services to its customers, like general practitioners, providers of

ambulatory and stationary medical care, occupational healthcare centres, different

public institutions and private individuals (Quattromed 2013).

3.2. Research results

In this sub-chapter the opportunity recognition process and identification of non-core

technologies in case companies combined with the literature review will be

discussed.

Opportunity recognition process in case companies

Discussion and presentation of the results of opportunity recognition are based on the

framework by Ardichvili et al. (2003) where the process was divided into three

stages: perception (sensing or perceiving market needs or underemployed resources),

discovery (recognising a ‘‘fit’’ between particular market needs and available

resources) and creation (forming a business model).

Perception is the first stage of opportunity recognition process where the initial

idea starts with sensing of market needs or unused resources (Ardichvili et al. 2003).

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51

Bhave (1994) found that there are two distinct routes in the opportunity recognition

process:

1) Externally stimulated opportunity recognition where the decision to start a

project preceded opportunity recognition for certain entrepreneurs;

2) Internally stimulated opportunity recognition where the opportunity recognition

preceded the decision to start their projects.

Based on information from nine case companies mostly internally stimulated

opportunity recognition was presented where the opportunity recognition comes

before decision to start the project. Still, there were two clear examples where a

group of people with different background in terms of education or prior experience

came together, first chose an interesting industry and started to look for opportunities

(Reinsalu 2013; Vedeshin 2013). Vedeshin (2013) said, “We chose healthcare

industry because we found that it is still in developing stage with many unsolved

problems in the air and it may lead to successful business models. We discovered

that there are many other industries which are much more developed and where

finding new opportunities is difficult.”

According to Barringer et al. (2008), there are three general approaches

entrepreneurs use to identify an opportunity: observing trends, solving a problem and

finding gaps in the marketplace. Omachonu et al. (2010) stated that it is also

important to differentiate between two versions: are the discovered solutions looking

for problems to solve, or problems looking for solutions? In some case companies

first the problem as opportunity was found and then the looking for solutions

followed (Kask 2013; Mellik 2013; Reinsalu 2013; Ranta 2013). In other cases

technology as a solution was the trigger to start finding for problems in healthcare to

solve (Anier 2013; Raska 2013; Vedeshin 2013; Whalen 2013).

Shane (2000) suggests that three major dimensions of prior knowledge are

important for the process of entrepreneurial perception of opportunities: knowledge

of markets, ways to serve markets or customer problems. Also prior knowledge of

market let entrepreneurs see the usefulness of a technology in solving different

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customer problems. Marvel et al. (2006) found that prior knowledge of technology is

positively associated with opportunity or innovation radicalness.

In case of LabToWellness knowledge of markets, ways to serve markets and

information about customer problems all helped to sense the market need and

identify the opportunity. Kask (2013) said that customers were asking for such

service while he was still working for another healthcare technology company. But

as this company had a different strategic focus the new enterprise was established to

develop the current solutions. In case of Cognuse, one of the founders had a

background in psychology and other in computer engineering, it means that prior

knowledge of customer problems and technology was used to develop current

services of cognitive rehabilitation (Mellik 2013). Knowledge of customer problems

was the trigger also in the case of Mendor, because one of the co-founders had

diabetes and the initial idea came from him (Ranta 2013).

Prior knowledge of technology was the trigger in the case of Flick Diet and

AlterG products. Both founders of Flick Diet had a good experience in biotechnology

and the idea for current product just came into their mind one day while working in a

laboratory. They were just thinking what could be other options to use the

technological possibilities of their familiar area. Raska (2103) described them both as

venturesome persons who have high interests in biotechnology. The initial idea for

AlterG anti-gravity treadmill came from the father of the founder, who was trying to

figure out how to stimulate gravity in space, later he had the idea of reversing the

effect to make people lighter. Whalen (2013): “My father was a biomechanics

engineer and had been doing a lot of research on bones and working with veterans

so I believe all those experiences helped make it obvious that the idea of an Anti-

gravity treadmill would work and make a lot of sense.” Whalen (2013) added that as

he had been an athlete all life then it was easy to him to see why this idea would

make a lot of sense as a better alternate to water therapy.

All previous descriptions of the perception phase of opportunity recognition in the

case companies are good examples of opportunity recognition behaviour described

by Puhakka (2002), like knowledge acquisition, proactive searching and collective

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53

action. It was confirmed that prior knowledge about healthcare industry and also

about technology has been useful. As different dimensions of prior knowledge were

important for perception of opportunities, it can be said based on information from

case companies that interdisciplinary teams were the most successful.

Discovery is a phase of opportunity recognition where a cap between particular

market needs and specified resources is established. Creation phase is about

developing and deciding on the business model (Ardichvili et al. 2003). According to

the information acquired during interviews the author can say that these two phases

are more or less overlapping and they cannot be easily separated. Singh et al. (1999)

studied how entrepreneurs turned their ideas into opportunities and the results were

that they were searching for information or feedback from business associates,

contacted potential customers, discussed idea with friends or family, gathered

information on competitors, just knew idea was an opportunity or prepared financial

statements. Reinsalu (2013) confirmed that after having an idea of remote monitoring

of patient and finding necessary technology they contacted potential customers,

medical doctors to discuss the idea. At the same time Reinsalu (2013) stressed out

the complex of healthcare industry: “There is not one customer in the healthcare –

doctors would use the product or service, but they are not buyers, neither is hospital.

Instead it is the insurance that will pay for the services. There are different decision

makers and they all have own objectives.” This confirms the findings by Røtnes et

al. (2009) that opportunity recognition in healthcare is a complex issue with a

complex of users and buyers at different levels. How can an innovative product get

access in a system where the user, and even not necessarily the buyer make the

decision on whether an innovation product will be purchased? Reinsalu (2013)

admitted that the solution for removing barriers for innovators would be that

government takes a decision that one or other kind of service will save the overall

healthcare costs and will support its usage by healthcare organisations. It has been

the case in UK and this is one of the reasons why Doc@home has been successful in

this market. Reinsalu (2013) confirmed that probably they should have been talking

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to more customers during opportunity recognition process - as a lot of decisions were

based on personal emotions they many times failed in market evaluation.

Kask (2013) added: “Everything orbits around the customer”. They also

contacted customers, clinics and hospitals to get feedback. Customers validated the

need for such a service, but were immediately asking for solutions, because

themselves they have no capabilities to innovate. Beside meetings with customers,

participation in accelerator program1

and support from mentors were helpful.

Mentors helped to set and keep the focus, “open the doors” and expand the network.

Participating in the industry-related conferences was especially important to get

contacts and increase the network. That kind of beneficial effect of conferences was

especially mentioned by many interviewees. LifeInU was started during the

accelerator program and it confirms the importance and feedback of mentors, which

helps to find the right direction and business model. Also networking as a beneficial

tool was mentioned, but meeting with real customers who will be payers, customer

validation, was believed to be number one thing to do (Vedeshin 2013). Quite similar

were the answers from Mellik (2013): “Main and most useful information comes

from customers”, also participating in the accelerator program and support from

mentors and increasing network were useful. Ranta confirmed the previous findings:

“We went out there to talk to a lot of patients and professionals to find out whether

the same need that was uncovered internally was also present externally - and it

was.“ When they had recognised a new opportunity they started to talk with different

stakeholders and discuss openly all of the teams’ ideas to find something new that

would work. Ranta added: „We are very much into the lean start-up2 ideology“.

1

Accelerator or incubator program – can be described as a set of programs set up by a

government, business alliance or academic group through a variety of services/training. The intent is

to help small companies in the incubator have a better chance of survival through the start-up phase.

Author 2 The Lean Startup - The movement that is transforming how new products are built or launched.

Approach fosters companies to be more capital efficient and to leverage human creativity more

effectively. Based by the book: Ries, E. The Lean Startup. (2011). How Today`s Entrepreneurs Use

Continuous Innovation to Create Radically Successful Businesses. 1st ed. USA: Crown Business.

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55

Anier (2013) admitted that continuous consultations with customers are important

to recognise the fit between market and available resources. He also suggested

participating in some joint European R&D projects, where from the experience

thoughts, information and network can be acquired. Beneficial has been participation

in conferences to get into the community. “If you have been seen or you have been a

lecturer in the conference, it is much easier to get meetings later“. Whalen (2013)

confirmed the importance of customers: “It is important to listen to early adopters

about how they are using your product. In general they are going to give you a good

idea of where the business should head.” Whalen (2013) suggested developing the

idea where entrepreneurs are pulled to by customers, not trying to push their way.

Mölder (2013) said, “At first customer should be listened what they really need,

expect and are willing to pay for. And then it must be decided with what kind of

resources the best solution can be offered to clients.” Flick Diet’s idea started to

develop into business model after participating in a big European field-based

conference where the idea was confirmed, later they joined the accelerator program

and used the help of the mentor. They talked with many customers to get feedback

and information whether and how much they should pay for their service.

Discussions with people with different background, for example, business people,

have also been a valuable input in the discovery and creation phase of opportunity

recognition. Raska (2013) said, “As we both have a scientific background we did not

have clear understanding of sales or business models”. Beneficial was participation

in conferences to get into the community and increase the network.

The most often mentioned activity in discovery and creation phase of opportunity

recognition was the customer validation. Varkey et al. (2008) confirmed that

innovation in healthcare can be described as the successful implementation of a new

idea in a way that involves great value for some or many of the stakeholders

(customers). And as there are many stakeholders in the healthcare industry, it means

that validated should be definitely those who will use the product or service, but also

who will pay. Porter (2010) found that in a well-functioning healthcare system, the

creation of value for patients will determine rewards for all system stakeholders.

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Bessant et al. 2013 added that quantitatively, in terms of number of people involved,

patients are the largest group. They have gained enormous experience, either directly

through their own health records, or indirectly through the suffering of relatives or

friends. As a result, many patients can develop ideas of how to make the process of

care more efficient, how to improve a medical device, or how to test new ways of

treatment. From an opportunity recognition perspective, patients should be served as

valuable knowledge resources. Blank et al. (2012) also emphasises the importance of

meetings with customers during opportunity recognition process. The most often

made mistake by entrepreneurs is that their understanding about their customers, who

they are, what they need and how to sell them, is based on hypotheses only.

Identification of non-core or new technologies in case companies

Technology-based opportunity recognition and introduction of innovations is

unavoidable for firms which want to develop and maintain a competitive advantage

or gain entry to new markets (Becheikh et al. 2006). Parhankangas et al. (2003)

described that technology-based firms rarely have clear strategies for dealing with

what they see as their non-core technologies. Du et al. (2013) found that

entrepreneurs usually have a tendency to collaborate with R&D in their core

technological fields, but at the same time collaborations in firms’ non-core

technological fields would benefit them the most in finding new opportunities. There

is also a growing body of evidence that new technological solutions can solve

nowadays challenges in healthcare and reduce the overall system costs of health

(Care in a…, 2012). A greater diversity of healthcare technologies is needed in order

to meet the challenges presented by the evolving of GBD within a wider context of

preventive measures focusing on lifestyle, nutrition and environmental factors

(Promoting access to…, 2012).

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Many of the interviewees reflected proactive behaviour and mentioned that

internet is the main channel for searching information about new or non-core

technologies (Reinsalu 2013; Vedeshin 2013; Mellik 2013; Ranta 2013; Anier 2013).

It was noticed by the author that especially persons who were holding CTO

positions or had a technological background (education) in the company were more

proactive in this area of searching for new technologies. This confirms the result of

Rice et al. (2001) who found that activating of non-core technology-based

opportunity recognition in a company typically starts with technologists who are the

generators of ideas. Vedeshin (2013) said, “I investigate new technology related

topics continuously, from internet. There are different useful web-sites and blogs and

newsletters for that. I think I am more or less informed with all possible

technologies.” Some most useful websites for him were mentioned by Vedeshin

(2013), like http://www.hackaday.com/ and http://www.instructables.com/. The

interest is especially about new and emerging technologies, also about new uses of

existing technologies. Mellik (2103) said, “I am interested about different

technologies and want to be informed in this area, because it can be also a trigger

for the brain. It can happen that you are viewing at completely different technology

and then you will discover the way how it could be used in case of your product or

business model.” A similar opinion came from Raska (2013). Also co-operation with

universities and networking were mentioned by Mellik (2013) as beneficial channels

to identify new technologies. Anier (2013) said that he also uses internet search to

find about technological solutions, but based on concrete need for a current product

or service. Mölder (2013) suggested that attending at clusters´ conferences will also

give new information about technological changes and developments. Whalen (2013)

added, “We also attend a lot of trade shows and conferences and are able to quickly

gather an idea of who is out there do what. The best way is probably staying very

close with our customers because they are constantly being approached by people

trying to sell their technology and they can also give a very quick idea of what

actually works and what we should be looking out for.”

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Many of the interviewees emphasised that after finding new interesting

technological possibility suitability must be carefully evaluated to minimize different

risks (Anier 2013; Mellik 2013; Mölder 2013). Some of the questions that should be

answered are whether there is a competitive advantage or a need by customers. Or

whether the price customers are willing to pay will cover the costs used for

developing the product. This is clearly the same statement found in Norhashim et al.

(2007) that technology-based business ventures usually require huge R&D costs, but

in the end it is hard to be certain of market acceptance. Even if market accepts it, the

price that consumers are willing to pay may not commensurate with the Euros poured

into the R&D. It means that importance of customer validation rises up again.

Summary of research results

Perception is the first stage of opportunity recognition process where the initial

idea starts with sensing of market needs or unused resources (Ardichvili et al. 2003).

To summarise the perception phase of opportunity recognition based on nine case

companies mostly internally stimulated opportunity recognition was presented where

the opportunity recognition comes before decision to start the project. In almost a

half of case companies first the problem as opportunity was found and then the

looking for solutions followed. In other cases technology as a solution was the

trigger to start finding for problems in healthcare to solve. As different dimensions of

prior knowledge were important for perception of opportunities, it can be said that

interdisciplinary teams are the most successful. A team of people with multiple

knowledge and background are more effective in sensing market needs and

underemployed resources. Prior knowledge about healthcare industry and also about

technology has been useful and it can be concluded that these topics are important to

learn in order to perceive opportunities in this sector. Barringer et al. (2008)

confirmed that people who have more knowledge of an area tend to be more alert to

opportunities in that area than others.

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Discovery is a phase of opportunity recognition where a cap between particular

market needs and specified resources is established. Creation phase is about

developing and deciding on the business concept (Ardichvili et al. 2003). According

to the information acquired during interviews the author can say that these two

phases are more or less overlapping and they cannot be easily separated. To sum up

the discovery and creation phase of opportunity recognition of case companies all

entrepreneurs started with describing and emphasising the importance of customer

validation, talking to as many real customers as possible. According to their

experiences, customers will advise entrepreneurs where the business should focus

and also what would be the price that they are willing to pay. Even the interviewees

mostly talked about customer validation as activity, author concluded that it would

be also important as a topic to learn, to do it correctly. Also the importance of

network has been pointed out and many interviewees said that it can be increased

especially during participation in seminars or conferences. Size of the network is

useful to get broader feedback about the idea and also “opens the doors” or contacts

entrepreneur with the “right” people. In addition participation in conferences or

seminars gives opportunity to study deeper the field where the opportunity has been

perceived. Next the support of mentors has been mentioned as very valuable in case

companies to develop, set and keep the focus of business. In addition, participation in

accelerator or incubation programs were mentioned as a tool for boosting the

opportunity recognition process.

All the case companies confirmed that it is necessary to identify and learn about

new technologies in order to find new or alternative possibilities to develop their

current business models or introduce new ones. At the same time, most of the

companies do not have a systematic process established, one of the reasons for that

was mentioned to be the lack of resources like people, time or knowledge. Still, the

proactive behaviour by many entrepreneurs was recognised, especially by those who

had a CTO position or technological background. They were actively searching for

information about emerging, new or non-core technologies from the internet. The

interest is especially about new and emerging technologies, also about new uses of

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existing technologies. It means that to recognise technology-based opportunities it is

especially important to have a person with technological background in the team.

Table 3.1. summarises the research results from the interviews with the case

companies.

Table 3.1. Research results

Perception phase of

opportunity recognition

Discovery and creation

phase of opportunity

recognition

Identification of new or

non-core technologies

Key

factors

Interdisciplinary teams Network

Mentors

Person with technological

background in team

Key

activities

Proactive searching

Knowledge acquisition

Collective action

Customer validation

Conferences and seminars

Accelerator program

Proactive searching

(i.e. from Internet)

Key topics Technology

Healthcare

(broad view for perceiving

opportunities)

Technology

Healthcare

(more focused, according

to the perceived

opportunity)

Customer validation

Technology

(new and emerging

technology, new uses of

existing technology)

Source: Author

3.3. A model to enhance technology-based opportunity recognition capability in

healthcare technology companies

The research problem of this thesis is that companies are not always able to

recognise the technology-based opportunities available for them. The expected result

of this research was based on combining research data and the literature review

suggesting a model for enhancing technology-based business opportunity recognition

capability in healthcare technology companies.

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61

The following suggestions and a model (see Figure 3.1.) are proposed for

healthcare technology companies in order to enhance technology-based opportunity

recognition. This model is valid for both cases, for newly created ventures or for

existing organisations.

Opportunity recognition process starts with the perception phase where the initial

idea is discovered with sensing of market needs or unused resources. At first the

interdisciplinary teams should be combined. A team of people with multiple

knowledge and background are more effective in sensing market needs and

underemployed resources. To recognise technology-based opportunities it is

especially important to have a person with technological background in the team.

Proactive behaviour should be expected from all team members.

The most important topics in the perception phase of opportunity recognition are:

1) Technology (technological changes, new or emerging technologies, new

uses of existing technologies);

2) Healthcare (broader topics like actual problems in healthcare sector,

different stakeholders, their problems and expectations).

Both topics should be investigated thoroughly to get the essential knowledge base.

Beneficial activities for gathering previously mentioned information can be internet

searches, participating in industry-related conferences or seminars and networking.

Based on the research results conferences are mostly valuable because of the

networking – getting to know more people who can help validate the idea, to “open

the right doors” or to contact the entrepreneur with the next person who can be

useful.

During discovery phase of opportunity recognition the cap between particular

market needs and specified resources is established. Creation phase is about

developing and deciding on the business model. According to the information

acquired during the interviews there is no clear difference between these two phases

of opportunity recognition. The most important activity in the discovery and creation

phase of opportunity recognition is customer validation, but at the same time it is

necessary to keep informed about relevant technological and healthcare related

Page 62: Merlin Kolk - Tallinna Tehnika¼likool

topics. In this phase both these topics should be more focused to the field where the

opportunity has been perceived. Customer validation in that phase is important as a

topic to learn (how to do it right), but also as activity. It has been said by Blank

(2012) that founders of products or services who are getting out of the building to

meet customers early and often, will win, because there are no facts inside buildings

or in people´s minds. It is important to acquire a deep understanding of customer

needs and to use this knowledge during product development. The most often made

mistake by entrepreneurs is that their understanding about their customers, who they

are, what they need and how to sell them, is based on hypotheses only (Ibid.). There

are many stakeholders (customers) in healthcare with different needs and

expectations, all that must be investigated. Participating in accelerator program and

using support of mentor is also suggested in that stage of opportunity recognition.

Participations in industry-related conferences and networking should not be forgotten

either because of their specific values to increase network and give a new

knowledge.

The opportunity recognition process ends with the introduction of innovation, a

new product of service. As depicted in Figure 3.1., during this opportunity

recognition process the knowledge, experience and ties to networks increase

significantly. It is a valuable asset for every entrepreneur. It means the capability to

recognise new business opportunities will increase as well.

Page 63: Merlin Kolk - Tallinna Tehnika¼likool

63

Figure 3.1. The model for technology-based opportunity recognition capability

enhancement in healthcare technology companies. Source: Author

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Page 64: Merlin Kolk - Tallinna Tehnika¼likool

CONCLUSION

The objective of the current thesis is to enhance the technology-based opportunity

recognition capability in healthcare technology companies. This thesis is divided into

three parts.

The first part covers theoretical foundations of entrepreneurial opportunity

recognition processes and key factors, including technology-based opportunity

recognition. The theoretical part also covers opportunity recognition specifics in

healthcare industry. Literature review stresses the importance of opportunity

recognition in almost every industry. Technology-based opportunity recognition is

needed for firms which want to maintain and enhance their competitive advantage.

Often enterprises are not capable to identify the technological opportunities, neither

have they developed strategies for dealing with non-core technologies. At the same

time there are significant challenges ahead in the healthcare industry. In many

countries healthcare costs are increasing at an unsustainable rate, ageing population

is leading to an increasing prevalence of chronic diseases and consumers become

more informed and demanding. Thus, technology–based innovations can be one of

the opportunities to improve healthcare, it can lead to more effective prevention and

care, also to save overall costs. Author concludes that the need for enhancing

technology-based opportunity recognition in healthcare industry is an update and

pressing issue.

The second part of the thesis is about research methodology. In this chapter the

research problem, objectives, questions and expected outcome are described by the

Page 65: Merlin Kolk - Tallinna Tehnika¼likool

65

author. In addition the author describes the research strategy, including methods, data

analysis and research data. Research problem of this thesis is focused on the notion

that companies are not capable to recognise the technology-based opportunities in

timely. The first research question aims to understand how healthcare technology

entrepreneurs recognise the opportunities. The second question of the research is to

find out how entrepreneurs identify new technologies outside of their core

competence (non-core technologies). The research objective is to enhance

technology-based opportunity recognition capability in healthcare technology

companies. Expected result of this research is to suggest a model to enhance

technology-based business opportunity recognition capability in healthcare

technology companies. Qualitative research design and methods are chosen for the

research. Limitations of the study and implications for further research are also given

in the second part.

The third part of the thesis includes the case study on opportunity recognition and

identification of new technologies in nine healthcare technology companies. This

chapter starts with brief descriptions of case companies.

Here is the summary of the findings of opportunity recognition in case companies:

Positive effect of interdisciplinary teams has been noticed; the importance of prior

knowledge of markets and technology; valuable effect of customer validation; the

importance of network; support of mentors and participation in accelerator or

incubation programs.

All the case companies confirmed that it is necessary to identify and learn about

new technologies in order to find new or alternative opportunities to develop their

current products or business models or introduce new ones. Most of the companies

do not have a systematic processes established, still, the proactive behaviour by

many entrepreneurs was recognised, especially by those who had a technological

background.

Based on the research results a model is proposed for healthcare technology

companies to enhance technology-based opportunity recognition capability. This

model is valid for newly created ventures and also for existing organisations.

Page 66: Merlin Kolk - Tallinna Tehnika¼likool

The thesis offers a useful input for entrepreneurs in order to understand the

opportunity recognition concepts, technology-based opportunity recognition process

and healthcare industry specific opportunity recognition patterns.

The managerial implications of thesis are bound to enhancement of technology-

based opportunity recognition capability in healthcare technology companies. It leads

to development of innovative products and services which will improve overall

healthcare industry outcome. This thesis is also useful for motivating new companies

outside the healthcare industry to enter the sector. Additionally this thesis may

inspire all other people with entrepreneurial spirit to start looking for technology-

based opportunities in healthcare industry and start up their own company.

Page 67: Merlin Kolk - Tallinna Tehnika¼likool

67

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73

ACKNOWLEDGEMENTS

Writing this master´s thesis was an interesting journey in search of new knowledge

and discoveries on entrepreneurial opportunity recognition topic. It has been a

process of exploration of information both in scientific fields and in many healthcare

technology companies.

The author would like to thank Associate Professor Peeter Ross for supervising

the thesis and assisting the research. He has been encouraging and supportive by

taking the time to give his helpful comments and guidance.

I am grateful to my employer and colleagues from Takeda Pharma Ltd. They

supported me in the process to pursue the educational goal.

This thesis is based largely on the data from the case organisations. The author is

thankful to the interviewees from the case organizations like Alter G, Cognuse,

Docobo, EdgeWise, Flick Diet, LabToWellness, LifeInU, Mendor and Quattromed

for sharing their time and experience on opportunity recognition process.

The most grateful I am for the valuable support and understanding from my

husband and son, also from other close relatives.

Page 74: Merlin Kolk - Tallinna Tehnika¼likool

RESÜMEE

Käesoleva magistritöö eesmärk on edendada tehnoloogial põhinevate ärivõimaluste

identifitseerimise võimekust tervishoiutehnoloogia ettevõtetes. Magistritöö on

jaotatud kolmeks peatükiks.

Esimene osa käsitleb ärivõimaluste identifitseerimise teoreetilisi aluseid,

sealhulgas tehnoloogial põhinevate ärivõimaluse identifitseerimise protsesse ja

võtmetegureid. Peatükk kirjeldab ka tervishoiusektorist tulenevaid eripärasid, mida

peab arvestama ärivõimaluste identifitseerimisel. Kirjanduse ülevaade kinnitab, et

ärivõimaluste identifitseerimine on oluline kõikides tööstusharudes. Tehnoloogial

põhinevate ärivõimaluste äratundmine on eriti vajalik ettevõtetele, kes soovivad

säilitada ja arendada oma konkurentsieeliseid. Tihti ei ole ettevõtted võimelised

potentsiaalseid tehnoloogilisi ärivõimalusi ära tundma ja neil puuduvad kindlad

firmasisesed protsessid identifitseerimaks tehnoloogiaid väljaspool nende

põhitehnoloogiaid.

Tervishoiusektoris on ees ootamas probleemid ja väljakutsed, nagu näiteks järjest

suurenevad kulud, rahvastiku vananemisest põhjustatud kasvav krooniliste haiguste

määr ning teadlikumad ja nõudlikumad tarbijad. Uutel tehnoloogiatel põhinevate

lahenduste turuletoomine on üks võimalustest tervishoidu edendada. Magistritöö

autor järeldab, et vajadus edendada tehnoloogial põhinevate ärivõimaluse

identifitseerimist tervishoiutehnoloogia ettevõtetes on aktuaalne teema.

Teine peatükk kirjeldab magistritöö metoodikat. Peatükis on sõnastatud teadustöö

probleem, eesmärgid, küsimused ja oodatav tulemus. Magistritöö

uurimisprobleemiks on püstitatud, et ettevõtted ei ole tihti võimelised

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75

identifitseerima tehnoloogial põhinevaid ärivõimalusi. Esimene uurimusküsimus on,

et kuidas tervishoiutehnoloogia ettevõtted identifitseerivad ärivõimalusi ning teine

uurimisküsimus on, et kuidas ettevõtjad identifitseerivad uusi tehnoloogiaid

väljaspool oma põhitehnoloogiad. Lähtuvalt uurimisprobleemi ja -küsimuste

püstitusest valis autor kvalitatiivse uurimisviisi, mitme juhtumi analüüsi, kus andmed

koguti süvaintervjuude kaudu. Intervjuud viidi läbi üheksa tervishoiutehnoloogia

ettevõtte esindajaga.

Magistritöö kolmas peatükk sisaldab uurimistöö tulemusi. Uurimistöö tulemusena

selgus, et positiivset mõju ärivõimaluste identifitseerimise juures omab

interdistsiplinaarsete meeskondade moodustamine, lisaks on oluline taustainfo

kogumine nii turu kui tehnoloogiate kohta. Tähtis on kliendi valideerimine, see

tähendab, et tuleb kohtuda ja rääkida nii palju reaalsete klientidega kui võimalik, et

täpselt teada saada kes on uue toote või teenuse klient, mis on tema täpsed soovid ja

kui palju ta on nõus selle eest maksma. Veel selgus uuringust, et ärivõimaluste

identifitseerimisel mängib olulist rolli suhtlusvõrgustik, samuti mentorite toetus ning

osalemine ettevõtluse inkubaatorprogrammides. Kõik ettevõtjad kinnitasid, et uute

tehnoloogiate identifitseerimine on vajalik, et leida uusi või alternatiivseid võimalusi

arendamaks olemasolevaid tooteid ja ärimudeleid või luua uusi. Kuigi enamik

ettevõtetes ei ole sellekohased süsteemsed protsessid juurutatud, leiti uuringus

proaktiivset käitumist uute tehnoloogiate otsinguil eriti tehnoloogia-alase taustaga

ettevõtjate poolt.

Magistritöö tulemusena pakub autor välja mudeli, mis aitab edendada

tehnoloogial põhinevate ärivõimaluste identifitseerimist tervishoiutehnoloogia

ettevõtetes.

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APPENDIXES. APPENDIX 1. Effective trends to curb costs in

healthcare

Source: Transforming Healthcare… (2012)

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77

APPENDIX 2. Interview sample

Name of the

enterprise

Name Position in company Education

1 AlterG Sean Whalen Founder, was CTO,

now product

consultant

Mechanical Engineering,

Management Science and

Engineering

2 Cognuse Andres Mellik Founder, CEO, CTO Computer Engineering

3 Docobo

Ardo Reinsalu Founder, Member of

board

Informatics, business

administration

4 EdgeWise Andres Anier Founder Systems and Computer

Engineering,

Biomedical Engineering

5 Flick Diet Henri Raska Founder, CEO Chemistry, Biotechnology

6 LabToWellness Indrek Kask Founder, CEO Biotechnology and

Biomedicine, Molecular

Diagnostics, Entrepreneurship

and Technology Management.

7 LifeInU Anton Vedeshin Founder, CTO Business Information

Technology

8 Mendor Kristian Ranta Founder, CEO Economics, Entrepreneurship

9 Quattromed Erki Mölder Chairman of Board Economics

Source: Author

Page 78: Merlin Kolk - Tallinna Tehnika¼likool

APPENDIX 3. Questionnaire for the interviews

What is your position and responsibility in the company?

What is your background (work experience, education)?

1. How do you recognise business opportunities?

1.1 How to improve recognition of business opportunities in your company?

2. How do you identify new technologies outside your core competence?

2.1 How to improve identifying of new technologies in your company?

Source: Author