Innovation & Frameworks
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Transcript of Innovation & Frameworks
SID 2105 Computer Applications
Innovation & Technology Putting it all together
SID 2105 Computer Applications
The story so far
Algorithm Heuristics
SID 2105 Computer Applications
Innovation Frameworks
SID 2105 Computer Applications
Innovation Frameworks
SID 2105 Computer Applications
Innovation Frameworks
SID 2105 Computer Applications
The Design of Business
Premise: Martin poses the idea that there are currently two forms
of business thinking:
Analytical thinking is driven by a quantitative process (based on
inductive and deductive logic) and standardizing steps to eliminate
judgment, bias, and variation.
Intuitive thinking focuses more on an instinct to drive creativity
and innovation. It uses abductive reasoning to solve problems
Abductive reasoning, is a form of logical inference that goes from an
observation to a hypothesis, seeking to find the simplest and most
likely explanation. One can understand abductive reasoning as
"inference to the best explanation”.
SID 2105 Computer Applications
Design Thinking Design Thinking is defined as combining empathy
for the context of a problem, creativity in the
generation of insights and solutions, and rationality
in analyzing and fitting various solutions to the
problem context.
Design thinking encourages divergent thinking to
ideate many solutions (possible or impossible) and
then uses convergent thinking to prefer and realize
the best resolution.
- Divergent thinking is the ability to offer different,
unique or variant ideas adherent to one theme
- Convergent thinking is the ability to find the
"correct" solution to the given problem.
SID 2105 Computer Applications
Knowledge Funnel
Martin also introduces the idea of a knowledge funnel as the
process followed by leading businesses to innovate more
consistently and successfully.
The knowledge funnel has three different phases:
•The mystery stage comprises the exploration of the
problem,
•At the heuristic stage where a rule of thumb is generated
to narrow work to a manageable size.
• In the algorithm stage the general heuristic is converted
to a fixed formula, taking the problem from complexity to
simplicity.
SID 2105 Computer Applications SID 2105 Computer Applications
Knowledge Funnel
SID 2105 Computer Applications SID 2105 Computer Applications
Knowledge Funnel
Mystery Heuristic Algorithm
Culture Design Thinking Design & Analytical Analytical Thinking
Bias Validity Validity & Reliability Reliability
Data Analysis Qualitative Quantify & Qualify Quantitative
Reasoning Abductive Inductive & Deductive Inductive & Deductive
Division Research Development Operations
Margins Loose $ Make $ Make $
Cycle Emerging Heuristic Optimized Heuristic Optimized Algorithm
SID 2105 Computer Applications SID 2105 Computer Applications
Design Thinking Funnel
SID 2105 Computer Applications
Organizational Bias
Martin finds a bias in the analytical and design thinking
process as a distinction between 'reliability' versus 'validity’
He argues that organizations are much more likely to favor
what is reliable, because their structures motivate analytical
thinking.
This means that organizations are often poor at achieving
valid solutions because they do not fully take advantage of all
three areas of the knowledge funnel, just the two latter stages
(heuristics and algorithms).
SID 2105 Computer Applications
Activity 1
1. Watch the images on the screen
2. Pick the one you feel fits the question
3. Formulate an answer to the best of your ability
4. Be ready to discuss and explain your choice
SID 2105 Computer Applications
Innovator’s Dilemma
Premise: is based on the idea that businesses or organizations
will reject innovations based on the fact that customers cannot
currently use them, thus allowing these ideas with great
potential to go to waste
Example: IBM dominated the market in computer memory
for large database systems, they did not see the need for
entering the PC storage market allowing companies like
Maxtor to emerge and eventually dominate the market.
SID 2105 Computer Applications
Innovator’s Dilemma
A disruptive innovation is an innovation that
helps create a new market and value network, and
eventually disrupts an existing market and value
network (over a few years or decades), displacing
an earlier technology.
A sustaining innovation does not create new
markets or value networks but rather only evolves
existing ones with better value, allowing the firms
within to compete against each other's sustaining
improvement
SID 2105 Computer Applications
Strategy Paradox
Premise: most strategies are built on specific beliefs about an
unpredictable future, but current strategic approaches force
leaders to commit to an inflexible strategy regardless of how
the future might unfold.
Example: in the 1980s Sony developed BETA tapes as an
optimal solution for home video recorder; the technology was
proprietary and expensive paving the way to VHS. The consumer
market tilted to VHS as the standard, but Sony was committed to
the BETA strategy from which it would not deviate.
SID 2105 Computer Applications
Strategy Paradox
TIME Present Future
Uncertainty Cone
SID 2105 Computer Applications
Merging the Models
Operations
Design & Development
Evaluation
Research
Algorithm Heuristics Mystery Mystery
SID 2105 Computer Applications
Merging the Models Previous Heuristics Algorithms
Martin Mystery Heuristic Algorithm Mystery
Culture Design Thinking Design & Analytical Analytical Thinking Design & Analytical
Bias Validity Validity & Reliability Reliability Validity & Reliability
Data Analysis Qualitative Quantify & Qualify Quantitative Quantify & Qualify
Reasoning Abductive Inductive & Deductive Inductive & Deductive Abductive
Division Research Development Operations Evaluation
Margins Loose $ Make $ Make $ Loose $
Title Emerging Heuristic Optimized Heuristic Optimized Algorithm Declining Algorithm
SID 2105 Computer Applications
Merging the Models
TIME Present Future
Uncertainty Cone
Knowledge Funnel
Uncertainty Cone
VHS
BETA
SID 2105 Computer Applications
Merging the Models
TIME Present Future
Uncertainty Cone
Uncertainty Cone
GUI
W3
DOS
IBM
Microsoft Strategic Options
SID 2105 Computer Applications SID 2105 Computer Applications
Innovation Cycles
SID 2105 Computer Applications SID 2105 Computer Applications
Disrupting Innovation
Specifications Production Part Machining
Heuristics
Optimized Heuristic
Parametric Model
Emerging Heuristic
Digital Copy
Mystery
Design Intent
SID 2105 Computer Applications SID 2105 Computer Applications
Sustaining Innovation
Concept Production Distribution
Algorithm
Optimized Algorithm
Compare to Spec Measurement Defective Parts
Mystery
Declining Algorithm
SID 2105 Computer Applications SID 2105 Computer Applications
Efficient Innovation
distribution production
Algorithm
Optimized Algorithm
New Specs Trials Machining
Heuristics
Optimized Heuristic
New specs
SID 2105 Computer Applications
Activity 2
1. Break into groups of 5-6
2. Pick an image from the google file
3. Apply one of the three frameworks to analyze it
4. Be ready to discuss and explain your choice