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    The Impact of Social Media in Consumer

    Preference of Real Estate Industry in

    Bangladesh

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    “The Impact of Social Media in Consumer

    Preference of Real Estate Industry in

    Bangladesh” 

    Submitted To:

     Nigar Sultana

    Assistant ProfessorDepartment of Marketing

    Jahangirnagar University

    Submitted by:

    Tasmiah Khan

    ID: 2343

    Department of marketing

    Jahangirnagar University

    Jahangirnagar University

    December 15, 2014

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    Letter of Transmittal

    December 15, 2014

     Nigar Sultana

    Assistant Professor

    Department of Marketing

    Jahangirnagar University

    Dear Ms. Sultana,

    I am pleased to submit the final research paper of BBA on “The Impact of Social Media in Consumer

    Preference of Real Estate Industry in Bangladesh”. I had given careful effort to make the report informative. 

    The report has been prepared in accordance with your guidance.

    Throughout the study I have tried my level best to accommodate as much information and relevant issues

    as possible and tried to follow the instructions as you have suggested. I sincerely believe that it will satisfy

    your requirements.

    The study I conducted has enhanced my knowledge to create an executive report. This report has given me

    an exceptional experience that might have immense use in the future.

    I am grateful to you for your guidance and kind cooperation at every step of my endeavor on this report. I

    shall remain deeply grateful if you kindly take some time to go through the report and evaluate my

     performance.

    My effort will be reworded only if it adds value to the research literature.

     _____________Sincerely Yours,Tasmiah Khan

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    Executive summery

    In order to overcome the challenging housing crisis, real estate professionals have had to become more

    innovative in the way they reach prospective customers. One of the strategies implemented is leveraging

    social media technology. The objective of the research is to identify the impact of social networking sites

    & media in consumer preference in case of Real Estate Industry in Bangladesh, how it affects the target

    segment’s preference, attitude and buying behavior. Also to consider the ut ilization of social media and its

     potential role in the real estate sales process.

    The research is an exploratory one. Analysis of the findings helps to meet the objectives of this research

    related to the impact of social media. This report is based on both primary and secondary data. The primary

    data is collected from the respondents within the study area through questionnaire. Besides that as

    Secondary data source, various published documents in the books, journals, newspapers and magazines,

    and web sites has been helpful for drawing conclusion. For collecting primary data, closed ended structured

    questionnaire has been used. The questionnaires were formed as a webpage through the use of a Software

    called Qualtrics. Questionnaires were distributed through internet in the form of webpage. Also, somequestionnaires had been handed over to the respondents and later those were included in data set. The main

    Hypothesis was “There is no impact of social media in consumer preference of real estate industry in

    Bangladesh.” (Null) and “There is impact of social media in consumer preference of real estate industry in

    Bangladesh.” (Alternative) 

    The analyzed data have proved the alternative hypothesis to be correct. Also shown that consumers are

    getting more comfortable and aware about using social media to consider a real estate related transaction,

    organizations related to real estate should be more concerned about using and maintaining social media

    communication. Data have shown that people are probably not purchasing real estate directly from social

    media platforms but they are considering it as source of diverse information before considering a real estate

     purchase. So promoting real estate products through social media will be a wise choice. In many cases it isquite an efficient and effective way to maintain relationship with the customers as well as promotions. One

    of the challenges in any sales organization is finding the right type of clients through prospecting efforts.

    Through the social media provides ample probabilities to prospect. Consumers are using customer’s

    feedbacks, organizational feedbacks and reviews to evaluate, so only using social media to promote will

    not be enough for an organization. They have to be active in case maintaining reviews and feedbacks. Also

    a close eye on the feedbacks forms customers may reveal tiny loopholes that might have been ignored.

    In its simplest form, social media enables individuals to share ideas, content, thoughts, and relationships

    online. As more organizations embrace social media, tools such as LinkedIn, Facebook and Twitter are

    used to directly communicate to buyers in places where they congregate. Social media grew in popularity

    out of the need of attracting Internet users by providing compelling content. This content not only connected

    individuals to other individuals, groups, organizations and interests, but also created a platform for all to

    have a conversation on the content. This type of communication can create greater engagement and deeper,

    meaningful networks with people interested in real estate professionals.

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    Table of Contents:

    PART – A Page No

    Project Part

    1.1 INTRODUCTION 1

    1.2 SIGNIFICANCE OF THE STUDY  2

    1.3 LITERATURE REVIEW 2

    1.4 OBJECTIVE OF THE RESEARCH 4

    1.4.1 Broad Objectives 4 1.4.2 Specific Objectives 4 

    1.5 RESEARCH METHODOLOGY 4

    1.5.1 Source of Data 4

    1.5.2 Quantitative Research 4

    1.5.3 Method of Collecting Primary Data 5

    1.5.4 Sampling Design 5

    1.5.4.1 Target population and Sampling frame 5

    1.5.4.2 Sample Scaling 51.5.4.3 Sample Technique 5

    1.5.4.4 Sample Size 6

    1.5.5 Hypothesis 7

    1.5.6 ANALYSIS OF THE COLLECTED DATA 7

    1.5.6.1 Survey Data Summarization 7

    DATA ANALYSIS

    PART – B 

    2.0 DATA ANALYSIS 8

    2.1 HYPOTHESIS 1: 8

    2.1.1 Test 1: 8

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    2.1.2 Test 2: 9

    2.2 HYPOTHESIS 2: 11

    2.2.1 Test 1: 11

    2.2.2 Test 2: 12

    2.2.3 Test 3: 14

    2.2.4 Test 4: 15

    2.2.5 Test 5: 16

    2.2.6 Test 6: 17

    2.2.7 Test 7: 18

    2.2.8 Test 8: 19

    2.3 HYPOTHESIS 3: 21

    2.3.1 Test 1: 21

    2.3.2 Test 2: 22

    3.0 FINDINGS 23

    4.0 LIMITATION OF THE STUDY 24

    5.0 CONCLUSION 24

    6.0 RECOMMENDATIONS 25

    APPENDICES 

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    Part A 

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    1

    1.1 INTRODUCTION 

    There has been significant growth and interest in usage of internet in Bangladesh over the past few years.

    Customers are involved with internet for purposes like  –   communication, information, knowledge &

    entertainment. Over the years people of Bangladesh started using internet so do social media. Social media

    referred as the use of websites to stay socially connected like Facebook, Twitter, Orkut & Google+. These

    are some of the most prominent examples of the usage of social media in today’s life. Data show s that

    Facebook adds 1 new user in Bangladesh in every 20 seconds now [Wearesocial official website at

    http://wearesocial.net]. Social medias are already playing a vital role in influencing human behavior.

    Through different kinds of social media sites companies under industries like Tech-software,

    Manufacturing, Real Estate, Fashion, Non-profit, Automobile, Hospitality etc.; are very carefully

    influencing their customers by sharing their product related details. For Example, REHAB (Real Estate &

    Housing Association of Bangladesh) has a page in Facebook, before every REHAB fair they create an event

    in Facebook with the venue, time & date of the event to promote it over social media to capture public

    attention. Social media has not only became a platform of pr omoting a product but also it’s creating a huge

    amount of awareness among the customers regarding an upcoming product, furthermore the reviews &

    feedbacks posted by the customers are very prominent & a very efficient way to get the understanding ofcustomer’s attitude towards the whole concept of a product as well as it’s loopholes.

    Social media refers to the means of interactions among people in which they create, share, and exchange

    information and ideas in virtual communities and networks. Andreas Kaplan and Michael Haenlein (2010)

    define social media as "a group of Internet-based applications that build on the ideological and technological

    foundations and that allow the creation and exchange of user-generated content." Furthermore, social media

    depends on internet, mobile and web-based technologies to create highly interactive platforms through

    which individuals and communities share, co-create, discuss, and modify User-generated content. It

    introduces substantial and pervasive changes to communication among organizations, communities and

    individuals.

    Social media differentiates from traditional/industrial media in many aspects such as quality, reach,

    frequency, usability, immediacy and permanence. Social media technologies take on many different forms

    including magazines, Internet forums, weblogs, social blogs, microblogging, wikis, networks, podcasts,

     photographs or pictures, video, rating and social bookmarking. Technologies include: blogs, picture-

    sharing, blogs, wall-postings, email, instant messaging, music-sharing, crowdsourcing and voice over IP,

    to name a few. (Andreas, K., & Michael, H., 2010, p. 61)

    The individual consumer has a set of preferences and values whose determination is outside the realm of

    economics. They are no doubt dependent upon culture, education, and individual tastes, among a plethora

    of other factors. Consumer preferences are defined as the subjective (individual) tastes, as measured by

    utility, of various bundles of goods. They permit the consumer to rank these bundles of goods accordingto the levels of utility they give the consumer. Note that preferences are independent of income and prices.

    Ability to purchase goods does not determine a consumer’s likes or dislikes. One can have a preference for

    Porsches over Fords but only have the financial means to drive a Ford.(Cordo, 2009, p. 1). This research

     paper is an attempt to get an understanding of the fact that how much social media can influence a consumer

    of Bangladesh in case of their behavior & purchasing decisions patterns toward The Real Estate Industry

    of Bangladesh.

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    Real estate is "property consisting of land and the buildings on it, along with its natural resources such as

    crops, minerals, or water; immovable property of this nature; an interest vested in this; (also) an item of

    real property; (more generally) buildings or housing in general. Also: the business of real estate; the

     profession of buying, selling, or renting land, buildings or housing. [Oxford Learner’s Dictionaries official

    website at http://www.oxfordlearnersdictionaries.com]

    1.2 SIGNIFICANCE OF THE STUDY

    These days, social media constitute one of the most prominent challenges for marketing managers. A recent

    study by Socialbakers & BTRC shows that 42281.931 thousand people in Bangladesh uses internet, mostly

    to use the social networking sites like Facebook. [BTRC; September, 2014] At the same time, it has been

    seen that most companies are taking only limited action in response to this enormous challenge. Social

    media are often treated as merely another communication channel whose value potential is unclear;

    companies thus have often limited their response towards social media communication. Social media offers

    an important opportunity for business to increase brand awareness, raise the profile and image of the

    company, and to engage with shoppers to convert them into customers. The social media is one of the rising

    stars of the expanding online business world and this forecast continue to increase in the future providinga major source of traffic for online retail businesses around the world.

    Research by Amin, Md., I. (July 12, 2013) reveal that In Bangladesh, during the last decade, the total

    volume of Real Estate, Renting and Business service sector increased every year which implies a positive

    growth in the sector every year. But, compared to overall GDP growth, this sector expanded at a slower

    rate. That is why in overall GDP the contribution of this sector has a downward trend. The overall GDP

    contribution of the sector was 7.02% in 2009-2010. In a crude measure, the total volume of the sector was

    approximately 26575.74 crore BDT in 2010-2011. The growth in this industry also facilitated a fast growth

    in many linkage industries like - glass and glass products industry, brick industry, cement industry, ceramic

    industry, iron and steel industry etc. over the last decade. Such consistent growth in the real estate sector is

    mainly due to a consistent demand at the consumer end.

    It is important to understand that the social networks are not a silver bullet. If the company fails to meet the

    image it has been careful to portray, social networks can just as quickly amplify any adverse publicity. The

    Real Estate industry of Bangladesh is already using social media but not very effectively yet. The Industry

    needs to be focused about shaping their forms through social media.

    1.3 LITERATURE REVIEW

    Samanta Sarni Tira (2012) on her article named “The Spread of Online Culture” gave emphasis on the

    Online Culture or Cyber-culture. The Online Culture has become the mainstream; people everywhere are

    adopting this culture very fast and portraying remarkable changes in their behavior. In Bangladesh alone

    more than 3,313,000 people are active members of Facebook and so it should come as no surprise why

    some companies have recently started promoting their products via this powerful media. Especially the

    telecoms and restaurants are doing a great job in capturing the mind share of their consumers by using

    Facebook. Social media became a reliable means to explore the culture, views and lifestyles that influence

    consumer behavior. The social media arena is a source to profile a target audience to develop marketing

    and advertising strategies. Social media conversations also alert companies to issues that may negatively

    affect current market opportunities. (Tira, N. K., 2013a, p. 2)

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    According to a research conducted by Technorati Media (2012) on over 6,000 influencers, 1,200 consumers

    and 150 top brand marketers in the United States, Blogosphere ranks higher than social media in influencing

    consumer purchase decision. The survey has found that, consumers rank blogs as the third most influential

    digital resource (31.1%), behind retail sites (56%) and brand sites (34%), when making their purchase

    decisions. The Technorati Media survey has also revealed that over 50% of the digital spending goes for

    Facebook, YouTube and Twitter, and 11% on Blogosphere. Surely the percentage shows the influence thesocial networking sites are creating, & it’s getting strong day by day. (Tira, N. K., 2013b)  

    According to a survey conducted by ING (2012) among 1,500 Dutch consumers –  “Impact of social media”,

    consumers find social media increasingly trustworthy. 65% said they find the information posted on online

    media to be trustworthy. 40% of consumers find posts made on social media to be trustworthy. Also

    Informative television programs and newspapers are deemed to have 4 to 5 times as much impact as social

    media, with the impact of online news sites and newspaper websites thought to be 3 to 4 times as high. The

    impact of traditional media such as informative TV programs and newspapers is lower among consumers

    who use social media daily. The impact of these media is nearly 1.5 times lower among frequent users of

    social media. It clearly shows that the impact of traditional media on the consumers are deeming as the

    consumers are finding online & social media platforms increasingly trustworthy & much more informativethen traditional options. [ING Group official website at http://ing-group.pr.co]

    JD Rucker conducted a research called “Social Media Effects on the Real Estate Market” in 2011, where

    he graphically presented the connection between social media and real estate industry. He showed that 32%

    of the buyers found their home thought online platforms. But the research was conducted giving emphasis

    on the sellers side not buyers side. (Rucker, 2011)

    Michael R odriguez, on his research paper “Making Social Media Effective In Real Estate” put emphasis

    on using the platform of social media for promoting real estate. According to him, one of the challenges in

    any sales organization is finding the right type of clients through prospecting efforts. Prospecting, the most

    important first step of the sales cycle, is a continuous requirement since the real estate industry is dynamic:challenging economy, over supply of property, longer sales cycle or unqualified buyers. Real estate

     professionals need to capture detailed information on prospective clients in order to gain a better

    understanding of their needs and buying process and social media platform provide a great gateway to gain

    the information directly from the clients. A well-implemented social media strategy may be an effective

     prospecting tool to find qualified potential clients. (Rodriguez, 2011, p. 2)

    After a careful review of the literature on the use of social media among businesses, it is clear that social

    media has made an impact in modern business practices. Research on social media impact on Real Estate

    industry had been done in many countries in the world but anything related to Bangladesh Real Estate

    Industry was not found. Bangladesh Real Estate industry is growing and people are becoming more

    technologically aware these days. Researches can be attempted to get proper understanding of the impactof social media in consumer preference in case of Bangladesh Real Estate Industry.

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    4

    1.4 OBJECTIVE OF THE RESEARCH

    1.4.1 Broad Objectives

    Broadly, the objective of the research is to identify the impact of social networking sites & media in

    consumer preference in case of Real Estate Industry in Bangladesh, how it affects the target segment’s

     preference, attitude and purchase pattern.

    1.4.2 Specific Objectives

    Specifically the objectives will be to identify -

      To identify whether the social networking sites can be an option for doing marketing of Real Estate

      To identify the impact that social media has created about real estate industry in Bangladesh

      To identify the options of using social media as a marketing platform for real estate industry of

    Bangladesh

      To find out the contribution of Social media in influencing the consumer preference in real estate

    industry of Bangladesh  To identify the benefits of using social media as a platform of marketing in real estate industry of

    Bangladesh

    1.5 RESEARCH DESIGN

    The research is an exploratory one. Analysis of the findings helps to meet the objectives of this research

    related to the impact of social media. The general concept of this research has been stated from two different

    groups. The Real Estate industry in Bangladesh are very widely spread through the country but it is not

     possible to study the whole country due to the time & convenience issues, so for the ease of the study only

    the metropolitan Dhaka had been chosen as the extent of the study.

    1.5.1 Source of Data

    This report is based on both primary and secondary data. The primary data is collected from the

    respondents within the study area through questionnaire. Besides that as Secondary data source, various

     published documents in the books, journals, newspapers and magazines, and web sites has been helpful

    for drawing conclusion.

    1.5.2 Quantitative Research

    This quantitative research employs a survey, which had been conducted within a sample size of 110

    respondents whom are assumed to be representatives of the target population. At first, a questionnaire was

    developed for conducting survey and pre tested on a smaller group. After correcting the questionnaire, thesurvey was conducted with the final questionnaire. Finally, after conducting survey, by using the statistical

    software (SPSS), the gathered data was analyzed to discover the hidden patterns and information. Through

    the interpretation of these data, some recommendation had been presented.

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    1.5.3 Method of Collecting Primary Data

    For collecting primary data, closed ended structured questionnaire has been used. The questionnaires were

    formed as a webpage through the use of a Software called Qualtrics. Questionnaires were distributed

    through internet in the form of webpage. This questionnaires were provided directly to the respondents as

    links and the data was collected automatically in the Software based website. These were collected via

    convenience sampling method. Also, some questionnaires had been handed over to the respondents and

    later those were included in data set in the website.

    1.5.4 Sample Design

    The sample design process are explained below-

    1.5.4.1 Target Population and Sampling Frame

    According to the data of BTRC around 42281.931 thousand people in Bangladesh use internet which

    include both male & female users’ age group starting from 13 -14 to 65-70. (BTCL official website at

    http://www.btrc.gov.bd) Also, Dhaka is the most densely populated city in Bangladesh with population of14,399,000 people, that’s 45,000/km2 (Wise, C., n.d.). As smartphones & internet devices are still very

    costly devices to use also required technical understandings, it’s not possible for people from all over the

    country like Bangladesh to use them. Having the affordability & ability to use issues, respondents from

    Dhaka city area has been chosen for the study. Both male & female age starting from 16-25 category had

     been studied. Also income is a very important factor to consider while choosing the respondents as it has

    affordability subjects.

    Marketer’s perspective 

    Element: Consumers who are using social media & interested in real estate

    Sampling unit: Selected Households and universities

    Extent: Metropolitan Dhaka

    Consumer’s perspective 

    Element: Consumers who go through the consumption process of the products & services.

    Sampling unit: Households and universities

    Extent: Metropolitan Dhaka

    1.5.4.2 Sample Scaling

    The Likert & rank order scaling techniques had been used in designing the questions. 5 point scale had been

    used to get the reviews. Through this techniques, it was easy to get the insights from the respondents. Also

    dichotomous questions had been used in designing the questions.

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    1.5.4.3 Sampling Technique

    For the structured closed-ended questionnaires all the non-probability sampling techniques had been taken.

    The convenience sampling, judgmental sampling and snowballing sampling techniques had been used for

    the sampling purpose of the research.

    1.5.4.4 Sample Size

    Calculation for sample size determination by proportions were made as follows –  

    Formula:  Description: 

    =(1 − )2

    Calculation:

    So, minimum 107 samples would be required for the study. For the ease of analysis 110 samples had been

    chosen as sample size.

    1.5.5 Hypothesis

    The main Hypothesis is -

    H 0  (Null):  There is no impact of social media in consumer preference of real estate industry in Bangladesh.

    H 1  (Alternative):   There is impact of social media in consumer preference of real estate industry in

    Bangladesh.

    To test this hypothesis, five supporting hypothesis had been developed. These will support the main

    hypothesis. The main hypothesis will be accepted if these hypothesis are proved to be valid. The supporting

    hypothesis are-

    Hypothesis 1 –  

    H 0  :  Bangladeshi people have not been positively influenced by real estate promotions through social media

     platforms.

    H 1  :  Bangladeshi people have been positively influenced by real estate promotions through social media

     platforms.

    Hypothesis 2 –  

    H 0  :  Bangladeshi people do not find social media platforms reliable, efficient & effective for gathering real

    estate related information and communication.

    H 1  :  Bangladeshi people find social media platforms reliable, efficient & effective for gathering real estate

    related information and communication.

    Hypothesis 3 –  

    H 0  :  Bangladeshi people have not used social media platforms to purchase real estate.

    H 1  :  Bangladeshi people have used social media platforms to purchase real estate.

    n = 1.81² x .2(1-.2)

    .07²

    n= required sample sizet= confidence level at 93% (standard value of 1.81)

     p= estimated percentage of household the sample belongs to (20%=0.2)

    m= margin of error at 7% (standard value of 0.07)

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    1.5.6 ANALYSIS OF THE COLLECTED DATA

    Collected data is analyzed on the basis of the specific objectives and hypothesis. A conclusion has been

    drawn based on the analysis of primary & secondary data. Data analysis of the consumers consists of

    consumer’s awareness, preference and buying behavior regarding related references & promotional

    activities. To create questionnaire, collect data & sort the data, software Qualtrics had been used. To analyze

    the data for results SPSS had been used.

    1.5.6.1 Survey Data Summarization

    Hypothesis Testing

    The hypothesis testing method was applied to analyze the data at hand. By this procedure, the hypothesis

    had been justified by proving through the values.

    Frequency

    Frequency distribution tables had been used to summarize the gathered data. This is a process where we

    recorded the number of times a particular value of a variable occurs. The mean, standard deviation and

    other descriptive statistics were also calculated along with the frequency distribution.

    Cross tabulation

    The cross tabulation is a technique to organize data by groups, categories, or classes, and thus facilitating

    comparisons, and a joint frequency distribution of observations on two or more sets of variables. Cross

    tabulation analysis had been used to find out the correlation between variables.

    Chi Square Test

    Allows to test the significance of the analysis of frequency distribution. Thus categorical data on variablesor dichotomous may be statistically analyzed. Calculation of the Chi Square statistics allowed to determine

    whether the difference between the observed frequency distributions and the expected distribution could be

    attributed to sampling variations.

    Pie Charts

    Have been used to give a good visual representation of our data. It gives a graphical representation of data

    collected at a glance.

    Bar Charts

    Bas charts have been used in order to get a clear view of the overall scenario of the individual data analysis.

    ANOVA

    ANOVA is a particular form of statistical hypothesis testing heavily used in the analysis of experimental

    data. A statistical hypothesis test is a method of making decisions using data.

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    Part B

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    2.0 DATA ANALYSIS

     Now we will test the supporting hypothesizes through cross tabulation, chi-square. These tests are given

     below:

    2.1 Hypothesis 1 –  

    H0 : Bangladeshi people have not been positively influenced by real estate promotions through socialmedia platforms.

    H1 : Bangladeshi people have been positively influenced by real estate promotions through social media

     platforms.

    To prove this Hypothesis the following analysis had been initiated -

    2.1.1 Test 1:

    Age * I am positively influenced by the real estate promotions through social media platforms.

    Crosstab 

    I am positively influenced by the real estate promotions through social media

     platforms.

    TotalDisagree Neutral Agree

    Strongly

    Agree Not Related

    Age 16 - 25 Count 0 0 9 3 2 14

    % of

    Total0.0% 0.0% 8.2% 2.7% 1.8% 12.7%

    26 –  35 Count 1 5 5 9 4 24

    % of

    Total 0.9% 4.5% 4.5% 8.2% 3.6% 21.8%

    36 –  45 Count 0 4 6 18 0 28

    % of

    Total0.0% 3.6% 5.5% 16.4% 0.0% 25.5%

    46 –  55 Count 1 7 14 10 4 36

    % of

    Total0.9% 6.4% 12.7% 9.1% 3.6% 32.7%

    56 and above Count 0 0 5 3 0 8

    % of

    Total0.0% 0.0% 4.5% 2.7% 0.0% 7.3%

    Total Count 2 16 39 43 10 110

    % of

    Total1.8% 14.5% 35.5% 39.1% 9.1% 100.0%

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    Interpretation: In order to formulate hypotheses 1, demographic data and survey question no.15 has been

    selected. This one is based on age demographic. Where, out of 110 respondents 35.5% respondents agreed

    that they are positively influenced by the promotions related to real estate on their social media pages.

    Where significantly 39.1% respondent strongly agreed with it. Highest 16.4% out of who strongly agreed

    with it was from the age group 36-45. None of the responded strongly disagreed with it whereas 9.1%

    respondent didn’t answered it due to non-relevance.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.047 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

    have not been positively influenced by real estate promotions through social media platforms” can be

    rejected at 7% significant level.

    Visual projection of cross

    tabulation data is presented

    in the form bar chart here.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 26.549a  16 .047

    Likelihood Ratio 32.362 16 .009

    Linear-by-Linear Association .661 1 .416

     N of Valid Cases 110

    a. 17 cells (68.0%) have expected count less than 5. The minimum expected count is .15.

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    10

    2.1.2 Test 2:

    Income * I am positively influenced by the real estate promotions through social media platforms.

    Crosstab 

    I am positively influenced by the real estate promotionsthrough social media platforms.

    TotalDisagree Neutral Agree

    Strongly

    Agree

     Not

    Related

    Income 21000 - 40000

    BDT

    Count 0 2 10 7 6 25

    % of

    Total0.0% 1.8% 9.1% 6.4% 5.5% 22.7%

    41000 - 60000

    BDT

    Count 1 5 3 2 0 11

    % of

    Total

    0.9% 4.5% 2.7% 1.8% 0.0% 10.0%

    61000 - 80000

    BDT

    Count 0 4 7 9 2 22

    % of

    Total0.0% 3.6% 6.4% 8.2% 1.8% 20.0%

    81000 - 100000

    BDT

    Count 1 2 7 6 0 16

    % of

    Total0.9% 1.8% 6.4% 5.5% 0.0% 14.5%

    101000 and

    above BDT

    Count 0 3 12 19 2 36

    % of

    Total0.0% 2.7% 10.9% 17.3% 1.8% 32.7%

    Total Count 2 16 39 43 10 110

    % of

    Total1.8% 14.5% 35.5% 39.1% 9.1% 100.0%

    Interpretation:  This Cross tabulation is based on respondent’s Income demographic. Where, highest

    17.3% out of who strongly agreed with it was from the income group 101000 and above. Highest 10.9%

    from who agreed with it was also from the income group 101000 and above. None of the responded strongly

    disagreed with it whereas 9.1% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 29.225a  16 .022

    Likelihood Ratio 26.988 16 .042

    Linear-by-Linear Association .027 1 .869

     N of Valid Cases 110

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    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.022 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

    have not been positively influenced by real estate promotions through social media platforms” can berejected at 7% significant level.

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here.

    Summary of the Hypothesis:

    The result indicates that the supporting Null Hypothesis 1: Bangladeshi people have not been positively

    influenced by real estate promotions through social media platforms - is rejected. So the alternative

    hypothesis had been accepted.

    a. 16 cells (64.0%) have expected count less than 5. The minimum expected count is .20.

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    2.2 HYPOTHESIS 2:

    Hypothesis 2 –  

    H 0  :  Bangladeshi people do not find social media platforms reliable, efficient & effective for gathering real

    estate related information and communication.

    H 1 :  Bangladeshi people find social media platforms reliable, efficient & effective for gathering real estaterelated information and communication.

    In order to analyze Hypothesis 2 question no. 19 to 22 had been analyzed. The details are explained below

    2.2.1 Test 1:

    Based on Age demography:

    Age * Social media has provided me with access to diverse amount of information related to real estate

    Crosstab 

    Social media has provided me with access to diverse amount of informationrelated to real estate

    TotalDisagree Neutral Agree

    Strongly

    Agree Not Related

    Age 16 - 25 Count 0 0 3 9 2 14

    % of

    Total0.0% 0.0% 2.7% 8.2% 1.8% 12.7%

    26 –  35 Count 3 1 14 2 4 24

    % of

    Total

    2.7% 0.9% 12.7% 1.8% 3.6% 21.8%

    36 –  45 Count 3 1 7 17 0 28

    % of

    Total2.7% 0.9% 6.4% 15.5% 0.0% 25.5%

    46 –  55 Count 1 2 17 12 4 36

    % of

    Total0.9% 1.8% 15.5% 10.9% 3.6% 32.7%

    56 and above Count 0 1 3 4 0 8

    % of

    Total0.0% 0.9% 2.7% 3.6% 0.0% 7.3%

    Total Count 7 5 44 44 10 110

    % of

    Total6.4% 4.5% 40.0% 40.0% 9.1% 100.0%

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    Interpretation: Analysis will start by analyzing question no.19. This one is based on age demographic.

    Where, out of 110 respondents 40.0% respondents agreed that Social media has provided them with access

    to diverse amount of information related to real estate. Similarly 40.0% respondents strongly agreed with

    this. Highest 15.5% out of who agreed with it was from the age group 46-55. Highest 15.5% out of who

    strongly agreed with it was from the age group 36-45. None of the responded strongly disagreed with it

    whereas 9.1% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 28.608a  16 .027

    Likelihood Ratio 35.310 16 .004

    Linear-by-Linear Association .366 1 .545

     N of Valid Cases 110

    a. 17 cells (68.0%) have expected count less than 5. The minimum expected count is .36.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.027 which is less than 0.07 (alpha value). So, the null hypo theses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here.

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    2.2.2 Test 2:

    Age * Social media platforms have made communication with the seller more effective

    Crosstab 

    Social media platforms have made communication with the seller moreeffective

    Total Neutral Agree Strongly Agree Not Related

    Age 16 - 25 Count 0 4 8 2 14

    % of Total 0.0% 3.6% 7.3% 1.8% 12.7%

    26 –  35 Count 3 8 9 4 24

    % of Total 2.7% 7.3% 8.2% 3.6% 21.8%

    36 –  45 Count 1 16 11 0 28

    % of Total 0.9% 14.5% 10.0% 0.0% 25.5%

    46 –  55 Count 2 11 19 4 36

    % of Total 1.8% 10.0% 17.3% 3.6% 32.7%

    56 and above Count 0 3 5 0 8

    % of Total 0.0% 2.7% 4.5% 0.0% 7.3%

    Total Count 6 42 52 10 110

    % of Total 5.5% 38.2% 47.3% 9.1% 100.0%

    Interpretation: The second question is no.20. This one is based on age demographic too. Where, out of

    110 respondents 47.3% respondents strongly agreed that Social media platforms have made communication

    with the seller more effective. 38.2% respondents agreed with this too. Highest 17.3% out of who strongly

    agreed with it was from the age group 46-55. Highest 14.5% out of who agreed with it was from the age

    group 36-45. None of the responded strongly disagreed with it whereas again 9.1% respondent didn’t

    answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 14.379a  12 .277

    Likelihood Ratio 17.636 12 .127

    Linear-by-Linear Association .113 1 .736 N of Valid Cases 110

    a. 12 cells (60.0%) have expected count less than 5. The minimum expected count is .44.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.277 which is more than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

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    do not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” cannot be rejected at 7% significant level. 

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here.

    2.2.3 Test 3:

    Age * Gathering information through social media platforms is time efficient

    Crosstab 

    Gathering information through social media platforms is time efficient

    TotalDisagree Neutral Agree Strongly Agree Not Related

    Age 16 - 25 Count 0 0 3 9 2 14

    % of Total 0.0% 0.0% 2.7% 8.2% 1.8% 12.7%

    26 –  35 Count 1 0 5 14 4 24

    % of Total 0.9% 0.0% 4.5% 12.7% 3.6% 21.8%

    36 –  45 Count 2 0 17 9 0 28

    % of Total 1.8% 0.0% 15.5% 8.2% 0.0% 25.5%

    46 –  55 Count 1 2 5 24 4 36

    % of Total 0.9% 1.8% 4.5% 21.8% 3.6% 32.7%

    56 and above Count 0 0 3 5 0 8

    % of Total 0.0% 0.0% 2.7% 4.5% 0.0% 7.3%

    Total Count 4 2 33 61 10 110

    % of Total 3.6% 1.8% 30.0% 55.5% 9.1% 100.0%

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    Interpretation: The third question is no.21. This one is based on age demographic too. Where, out of 110

    respondents 55.5% respondents strongly agreed that Gathering information through social media platforms

    is time efficient. 30.0% respondents agreed with this too. Highest 21.8% out of who strongly agreed with

    it was from the age group 46-55. Highest 15.5% out of who agreed with it was from the age group 36-45.

     None of the responded strongly disagreed with it whereas again 9.1% respondent didn’t answered it due to

    non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 28.264a  16 .029

    Likelihood Ratio 31.401 16 .012

    Linear-by-Linear Association .644 1 .422

     N of Valid Cases 110

    a. 18 cells (72.0%) have expected count less than 5. The minimum expected count is .15.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.029 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

    Visual projection of cross tabulation

    data is presented in the form bar chart

    here.

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    2.2.4 Test 4:

    Age * I find real estate related information from social media marketing more reliable than

    traditional marketing

    Crosstab 

    I find real estate related information from social media marketing more

    reliable than traditional marketing

    Total Neutral Agree Strongly Agree Not Related

    Age 16 - 25 Count 0 2 10 2 14

    % of Total 0.0% 1.8% 9.1% 1.8% 12.7%

    26 –  35 Count 1 8 11 4 24

    % of Total 0.9% 7.3% 10.0% 3.6% 21.8%

    36 –  45 Count 1 7 20 0 28

    % of Total 0.9% 6.4% 18.2% 0.0% 25.5%

    46 –  55 Count 1 12 19 4 36

    % of Total 0.9% 10.9% 17.3% 3.6% 32.7%

    56 and above Count 0 4 4 0 8

    % of Total 0.0% 3.6% 3.6% 0.0% 7.3%

    Total Count 3 33 64 10 110

    % of Total 2.7% 30.0% 58.2% 9.1% 100.0%

    Interpretation: The forth question is no.22. This one is based on age demographic too. Where, out of 110

    respondents 58.2% respondents strongly agreed that they find real estate related information from social

    media marketing more reliable than traditional marketing. 30.0% respondents agreed with this too. Highest

    18.2% out of who strongly agreed with it was from the age group 36-45. Highest 10.9% out of who agreed

    with it was from the age group 46-55. None of the responded strongly disagreed with it whereas again 9.1%

    respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 11.064a  12 .523

    Likelihood Ratio 14.609 12 .264

    Linear-by-Linear Association 2.240 1 .135

     N of Valid Cases 110

    a. 13 cells (65.0%) have expected count less than 5. The minimum expected count is .22.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.029 which is more than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

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    do not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” cannot be rejected at 7% significant level. 

    Visual projection of cross tabulation

    data is presented in the form bar

    chart here. 

    2.2.5 Test 5:

    Based on Income demography:

    Income * Social media has provided me with access to diverse amount of information related to real

    estate

    Crosstab 

    Social media has provided me with access to diverse amount of

    information related to real estate

    TotalDisagree Neutral Agree

    Strongly

    Agree Not Related

    Income 21000 - 40000 BDT Count 1 0 10 8 6 25

    % of

    Total0.9% 0.0% 9.1% 7.3% 5.5% 22.7%

    41000 - 60000 BDT Count 2 1 7 1 0 11

    % of

    Total1.8% 0.9% 6.4% 0.9% 0.0% 10.0%

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    61000 - 80000 BDT Count 2 1 6 11 2 22

    % of

    Total1.8% 0.9% 5.5% 10.0% 1.8% 20.0%

    81000 - 100000 BDT Count 0 3 6 7 0 16

    % of

    Total0.0% 2.7% 5.5% 6.4% 0.0% 14.5%

    101000 and above

    BDT

    Count 2 0 15 17 2 36

    % of

    Total1.8% 0.0% 13.6% 15.5% 1.8% 32.7%

    Total Count 7 5 44 44 10 110

    % of

    Total6.4% 4.5% 40.0% 40.0% 9.1% 100.0%

    Interpretation: Again its question no.19. This one is based on income demographic now. Where, Highest

    13.6% out of who agreed with that Social media has provided them with access to diverse amount of

    information related to real estate, was from the income group 101000 and above. Highest 15.5% out of who

    strongly agreed with it was from the income group 101000 and above too. None of the responded strongly

    disagreed with it whereas again 9.1% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 29.963a  16 .018

    Likelihood Ratio 31.351 16 .012

    Linear-by-Linear Association .106 1 .744

     N of Valid Cases 110

    a. 17 cells (68.0%) have expected count less than 5. The minimum expected count is .50.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.018 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

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    Visual projection of cross tabulation

    data is presented in the form bar chart

    here. 

    2.2.6 Test 6:

    Income * Social media platforms have made communication with the seller more effective

    Crosstab 

    Social media platforms have made communication with the seller

    more effective

    Total Neutral Agree

    Strongly

    Agree Not Related

    Income 21000 - 40000 BDT Count 0 9 10 6 25

    % of Total 0.0% 8.2% 9.1% 5.5% 22.7%

    41000 - 60000 BDT Count 3 4 4 0 11

    % of Total 2.7% 3.6% 3.6% 0.0% 10.0%

    61000 - 80000 BDT Count 3 8 9 2 22

    % of Total 2.7% 7.3% 8.2% 1.8% 20.0%

    81000 - 100000 BDT Count 0 6 10 0 16

    % of Total 0.0% 5.5% 9.1% 0.0% 14.5%

    101000 and above BDT Count 0 15 19 2 36

    % of Total 0.0% 13.6% 17.3% 1.8% 32.7%

    Total Count 6 42 52 10 110

    % of Total 5.5% 38.2% 47.3% 9.1% 100.0%

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    Interpretation: The second question is no.20. This one is based on income demographic now. Where,

    Highest 17.3% out of who strongly agreed with that Social media platforms have made communication

    with the seller more effective, was from the income group 101000 and above. Highest 13.4% out of who

    agreed with it was from the income group 101000 and above too. None of the responded strongly disagreed

    with it whereas again 9.1% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 27.499a  12 .007

    Likelihood Ratio 26.736 12 .008

    Linear-by-Linear Association .191 1 .662

     N of Valid Cases 110

    a. 11 cells (55.0%) have expected count less than 5. The minimum expected count is .60.

    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesistest is 0.007 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here. 

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    2.2.7 Test 7:

    Income * Gathering information through social media platforms is time efficient

    Crosstab 

    Gathering information through social media platforms is timeefficient

    TotalDisagree Neutral Agree

    Strongly

    Agree Not Related

    Income 21000 - 40000 BDT Count 1 1 1 16 6 25

    % of

    Total0.9% 0.9% 0.9% 14.5% 5.5% 22.7%

    41000 - 60000 BDT Count 0 0 2 9 0 11

    % of

    Total

    0.0% 0.0% 1.8% 8.2% 0.0% 10.0%

    61000 - 80000 BDT Count 2 1 9 8 2 22

    % of

    Total1.8% 0.9% 8.2% 7.3% 1.8% 20.0%

    81000 - 100000 BDT Count 0 0 5 11 0 16

    % of

    Total0.0% 0.0% 4.5% 10.0% 0.0% 14.5%

    101000 and above

    BDT

    Count 1 0 16 17 2 36

    % of

    Total0.9% 0.0% 14.5% 15.5% 1.8% 32.7%

    Total Count 4 2 33 61 10 110

    % of

    Total3.6% 1.8% 30.0% 55.5% 9.1% 100.0%

    Interpretation:  The third question is no.21. This one is based on income demographic now. Where,

    Highest 15.5% out of who strongly agreed with that Gathering information through social media platforms

    is time efficient was from the income group 101000 and above. Highest 14.5% out of who agreed with it

    was from the income group 101000 and above too. None of the responded strongly disagreed with it

    whereas again 9.1% respondent didn’t answered it due to non-relevance.

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    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.029 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

    Visual projection of cross tabulation

    data is presented in the form bar chart

    here. 

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 28.260a  16 .029

    Likelihood Ratio 33.041 16 .007

    Linear-by-Linear Association 4.239 1 .040 N of Valid Cases 110

    a. 17 cells (68.0%) have expected count less than 5. The minimum expected count is .20.

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    2.2.8 Test 8:

    Income * I find real estate related information from social media marketing more reliable than

    traditional marketing

    Crosstab 

    I find real estate related information from social media marketing

    more reliable than traditional marketing

    Total Neutral Agree

    Strongly

    Agree Not Related

    Income 21000 - 40000 BDT Count 1 6 12 6 25

    % of Total 0.9% 5.5% 10.9% 5.5% 22.7%

    41000 - 60000 BDT Count 1 2 8 0 11

    % of Total 0.9% 1.8% 7.3% 0.0% 10.0%

    61000 - 80000 BDT Count 1 9 10 2 22

    % of Total 0.9% 8.2% 9.1% 1.8% 20.0%

    81000 - 100000 BDT Count 0 8 8 0 16

    % of Total 0.0% 7.3% 7.3% 0.0% 14.5%

    101000 and above BDT Count 0 8 26 2 36

    % of Total 0.0% 7.3% 23.6% 1.8% 32.7%

    Total Count 3 33 64 10 110

    % of Total 2.7% 30.0% 58.2% 9.1% 100.0%

    Interpretation: The forth question is no.22. This one is based on age demographic too. Where, Highest

    23.6% out of who strongly agreed with that they find real estate related information from social media

    marketing more reliable than traditional marketing was from the income group 101000 and above. Highest

    8.2% out of who agreed with it was from the income group 61000-80000. None of the responded strongly

    disagreed with it whereas again 9.1% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 19.935a  12 .068

    Likelihood Ratio 20.981 12 .051

    Linear-by-Linear Association .207 1 .649

     N of Valid Cases 110

    a. 12 cells (60.0%) have expected count less than 5. The minimum expected count is .30.

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    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.068 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people do

    not find social media platforms reliable, efficient & effective for gathering real estate related information

    and communication” can be rejected at 7% significant level. 

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here 

    Summary of the Hypothesis

    The results indicate that out of eight tests based on two different demographics, only two tests based on age

    demographic could not be rejected but the other six tests had been rejected so it can be concluded that the

    supporting Null Hypothesis 2: Bangladeshi people do not find social media platforms reliable, efficient &

    effective for gathering real estate related information and communication - is rejected. The alternative had

     been accepted.

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    2.3 HYPOTHESIS 3

    H 0 :  Bangladeshi people have not used social media platforms to purchase real estate.

    H 1 : Bangladeshi people have used social media platforms to purchase real estate.

    To prove this Hypothesis the following analysis had been initiated -

    2.3.1 Test 1:

    Age * Have you used social media websites to purchase any real estate?

    Crosstab 

    Have you used social media websites to purchase any real

    estate?

    TotalYes No Not Related

    Age 16 - 25 Count 7 5 2 14

    % of Total 6.4% 4.5% 1.8% 12.7%

    26 –  35 Count 15 5 4 24

    % of Total 13.6% 4.5% 3.6% 21.8%

    36 –  45 Count 25 3 0 28

    % of Total 22.7% 2.7% 0.0% 25.5%

    46 –  55 Count 22 11 3 36

    % of Total 20.0% 10.0% 2.7% 32.7%

    56 and above Count 8 0 0 8

    % of Total 7.3% 0.0% 0.0% 7.3%

    Total Count 77 24 9 110

    % of Total 70.0% 21.8% 8.2% 100.0%

    Interpretation: In order to formulate hypotheses 3, demographic data and survey question no.24 has been

    selected. This one is based on age demographic. Where, out of 110 respondents 70.0% respondents said

    that they have purchased any sort of real estate by using social media pages. 21.8% responded that they

    haven’t. Where significantly 22.7% respondent who said yes, was from the age group 36-45. Here, 8.2%

    respondent didn’t answered it due to non-relevance.

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    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.051 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

    have not used social media platforms to purchase real estate.” can be rejected at 7% significant level. 

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here. 

    Chi-Square Tests 

    Value df Asymp. Sig. (2-sided)

    Pearson Chi-Square 15.448a  8 .051

    Likelihood Ratio 19.429 8 .013

    Linear-by-Linear Association 3.283 1 .070 N of Valid Cases 110

    a. 7 cells (46.7%) have expected count less than 5. The minimum expected count is .65.

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    2.3.2 Test 2:

    Income * Have you used social media websites to purchase any real estate?

    Interpretation: This one is based on income demographic. Where significantly 26.4% respondent who

    responded that they have purchased any sort of real estate by using social media pages, was from the income

    group 101000 and above. Here, 8.2% respondent didn’t answered it due to non-relevance.

    Chi-Square Tests 

    Value df

    Asymp.

    Sig. (2-

    sided)

    Pearson Chi-Square 19.547a

      8 .012Likelihood Ratio 20.614 8 .008

    Linear-by-Linear Association 11.039 1 .001

     N of Valid Cases 110

    a. 8 cells (53.3%) have expected count less than 5. The minimum expected count is .90.

    Crosstab 

    Have you used social media websites to purchase anyreal estate?

    TotalYes No Not Related

    Income 21000 - 40000 BDT Count 11 9 5 25

    % of Total 10.0% 8.2% 4.5% 22.7%

    41000 - 60000 BDT Count 6 5 0 11

    % of Total 5.5% 4.5% 0.0% 10.0%

    61000 - 80000 BDT Count 16 4 2 22

    % of Total 14.5% 3.6% 1.8% 20.0%

    81000 - 100000 BDT Count 15 1 0 16

    % of Total 13.6% 0.9% 0.0% 14.5%

    101000 and above BDT Count 29 5 2 36

    % of Total 26.4% 4.5% 1.8% 32.7%

    Total Count 77 24 9 110

    % of Total 70.0% 21.8% 8.2% 100.0%

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    Interpretation: The following table is the Chi-Squire test which shows that the P-value for this Hypothesis

    test is 0.012 which is less than 0.07 (alpha value). So, the null hypotheses which is “Bangladeshi people

    have not used social media platforms to purchase real estate.” can be rejected at 7% significant level. 

    The result indicates that the supporting Null Hypothesis 3: Bangladeshi people have not used social media

     platforms to purchase real estate - is rejected. So the alternative hypothesis had been accepted.

    Visual projection of cross

    tabulation data is presented in

    the form bar chart here 

    Summary of the Hypothesis

    Because all the supporting Null Hypothesis had been rejected and alternative had been accepted so in can

     be established that the main Null Hypothesis “There is no impact of social media in consumer preference

    Over all Summary of the Hypothesis

    Because all the supporting Null Hypothesis had been rejected and alternative had been accepted so in can

     be established that the main Null Hypothesis “There is no impact of social media in consumer preference

    of real estate industry in Bangladesh” is rejected and the main Alternative Hypothesis “There is impact of

    social media in consumer preference of real estate industry in Bangladesh” had been accepted.

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    3.0 FINDINGS:

    A major objective on the research was to shed light on the impact that social media has created in

    influencing consumer preference and decisions. Keeping that in mind the concluded data have provided us

    with imperative information.

    Usage of Social Media and Its Influence

    Data clearly give us a view of how significantly people are using social media platforms. Not only they are

    using it for communication purpose but also they are using it extensively as a source of information. 47%

     people said that they use social media sites to gather information about products regularly. Also people are

    more comfortable to receive any form of content or information through social media more than other forms

    like, email or mobile text.

    A great amount of people are accepting the fact that they are somehow positively influenced by the

     promotional contents of social media, it’s also the same for specifically real estate industry. 

    Reliable and Effective Form of Gathering Information and Maintaining Communication

    People find social media a reliable source to collect and analyze information related to products. During

    the process of gathering and analyzing information, they go through the organization’s given information

    and feedbacks, customer’s feedback, reviews and references. All these together provide a content of

    reliability and assurance in consumer’s mind. The results have shown that during gathering and analyzing

    real estate related information from social media sites consumers mostly checked organization’s feedback

    and customer’s feedback. Also as feedbacks and responses are provided rapidly and it provides option for

    direct communication, consumers are finding it more effective form of communication with the seller.

    Time Efficient and Diversity

    40.0% people strongly agreed that social media platform provide diverse amount of information about real

    estate than any other form of information source. Related needed information’s are mostly available in the

    webpages, for more information they even can ask directly to the organization. As, a large amount of

    information can be sorted from one source, it results in time efficiency.

    Purchase Decision

    70% people have said that they have taken purchased decision of some form real estate by using social

    media. The noticeable factor is most of the people who have said that they are positively influenced by real

    estate promotions trough social or they have used social media to purchase real estate, are from the age

    group 36-45 and 46-55 also they share the same income group of 101000 and above.

    4.0 LIMITATION OF THE STUDY

    The study is based on data collected from Dhaka City area only. So the findings of the study are likely not

    to represent the overall situation of the market in Bangladesh as the data belongs to a particular urban area

    only. The amount of money and time needed to conduct the research properly in a massive manner, was

    another constraint. Accessibility and convenience was an issue in case of conducting the research, as the

    responses and results were recorded and analyzed as per accessibility and convenience. The paper is mostly

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     based on the quantitative data, a thorough research based on both qualitative and quantitative data will be

    able to represent the scenario more appropriately.

    5.0 CONCLUSION

    This research paper provides a foundation for understanding social media and its potential impact on

    reaching buyers in the real estate industry. In the early stages of the utilization of social media technology,

    real estate sales professionals should not underestimate its eventual influence. With a challenging business

    environment, a greater number of competitors and more knowledgeable buyers, real estate professionals

    need to leverage the most current technology and implement social media in order to increase identification

    of potential customers.

    The market is shifting, thus, it is necessary for real estate professionals to use social media to build a

    community to connect with clients and partners within the industry. Embracing social media enables real

    estate professionals to create new connections, create conversations and build trusted relationships with

    those connections. Real estate professionals who demonstrate credibility through social media can yield

    more prospects being reached in a shorter amount of time, which will have a measureable impact on sales

    output.

    6.0 RECOMMENDATIONS

    As the analyzed data clearly shows that consumers are getting more comfortable and aware about using

    social media to consider a real estate related transaction, organizations related to real estate should be more

    concerned about using and maintaining social media communication. Data have shown that people are

     probably not purchasing real estate directly from social media platforms but they are considering it as source

    of diverse information before considering a real estate purchase. So Best practices on integrating social

    media can provide real estate organizations a positive impact in the sales process.

    Understanding Social Media and Its Use

    This social media network will provide opportunities to develop new relationships, build brand awareness

    and create a competitive advantage. In its simplest form, social media enables individuals to share ideas,

    content, thoughts, and relationships online. As more organizations embrace social media, tools such as

    Facebook and Twitter, are used to directly communicate to buyers in places where they congregate. Social

    media grew in popularity out of the need of attracting Internet users by providing compelling content. This

    content not only connected individuals to other individuals, groups, organizations and interests, but also

    created a platform for all to have a conversation on the content. Social media enables individuals to be part

    of a collaborative conversation in order to provide mutually beneficial value in a trusted business

    environment. This type of communication can create greater engagement and deeper, meaningful networks

    with people interested in real estate professionals. The result is not just more prospects, but more qualified

     prospects.

    Prospecting Efforts

    One of the challenges in any sales organization is finding the right type of clients through prospecting

    efforts. Prospecting, the most important first step of the sales cycle, is a continuous requirement since the

    real estate industry is dynamic: challenging economy, over supply of property, longer sales cycle or

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    unqualified buyers. Real estate professionals need to capture detailed information on prospective clients in

    order to gain a better understanding of their needs and buying process. Once this information is obtained,

    the next and equally challenging step is to qualify the prospect. A well-implemented social media strategy

    may be an effective prospecting tool to find qualified potential clients. Through the use of value-added

    content aimed at providing qualified prospects information they need, social media provides a foundation

    of shared interests and mutual trust. By qualifying prospects, real estate professionals can focus on idealclients and, as a result, may minimize time wasted on less-than-ideal prospects thereby leading to the

    efficient conversion of qualified prospects.

    Best Practices for Implementing Social Media

    Adding a social media strategy is critical to doing business, especially when prospecting in a challenging

    economy. The following are some of the best practices on how to implement social media in real estate.

    First, pinpoint where social media can help improve interaction with the real estate community. This means

    starting with content that is value added. The target here is primarily attracting new customers or potential

    influencers. Therefore, real estate professionals should write about what others in the community are

    interested in learning about (i.e., existing home sales, current tax laws or specific geographic regions).

    Second, real estate professionals need to think differently about how they communicate with prospects and

    others in the community. Real estate professionals can accomplish this by coordinating webinars or interest

     based webpages with their prospects in order to share ideas on a specific topic and create a conversation.

    These provide a means whereby customers can interact via social technology, enabling them to feel like

    they have immediate and direct access to a professional. These are also a powerful tool in distributing

    important content and attracting buyers to a specific area or a specific home.

    Third, real estate professionals can engage clients in conversations via Twitter, blogs or other industry-

    specific network tools. One of the biggest challenges in any social media initiative is determining which

    channels will be the most effective. The simplest approach is to go where other real estate professionals

    are. Real estate professionals need to be able to get out of the typical approaches and feel comfortable

     participating in conversations with social customers through effective social media usage.

    Fourth, as with any technology endeavor, it is important to be patient when implementing a social media

    initiative. Building a community of loyal followers takes time. Through interaction, organizations can

     provide vital information to prospective buyers and build credibility within a community. As a result, not

    only will the social community grow, but the opportunities to generate more sales will grow as well.

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    APPENDICES

    REFERENCES

    a.  Amin, Md. I, Sagar sen, Bashar, Ms. S. M., Rabbani, Mr. Md. G., Khan, Mr. M. S. A & Faridi Dr.R. F. (2012) A comprehensive study on the real sector of Bangladesh, 1, 30-45

     b.  Andreas, K., & Michael, H. (2010). Users of the world, unite! The challenges and opportunities of

    social media. Business Horizons, 53(1), 61.

    c.  Cordo, P. C., (2009). The Theory of Consumer Preferences. Consumer, 1, 1-2. Retrieved from

    http://www.usi.edu/business/cashel/331/CONSUMER.pdf

    d.  Definition of Real Estate. (n.d.). Retrieved August 12, 2014, from

    http://www.oxforddictionaries.com/definition/english/real-estate

    e.  Giessen, C. V. D. (November 15, 2012). Consumes find social media increasingly trustworthy.

    Retrieved from http:// http://ing-group.pr.co/34147-consumers-find-social-media-increasingly-

    trustworthy

    f.  Internet Subscribers in Bangladesh September, 2014. Retrieved 15 November 2014, from

    http://www.btcl.gov.bd

    g.  Kemp, S. (2012, November 27). Social, Digital, Mobile in Bangladesh. Retrieved from

    http://wearesocial.net/tag/social-networks

    h.  Tira, S. S. (2013a). The Spread of Online Culture. Bangladesh Brand Forum 1(1), p, 2

    i.  Tira, S. S. (2013b). The Spread of Online Culture. Bangladesh Brand Forum 1(1), p, 3

     j.  Wise, C. (n.d.) The Worlds Densest Megacities [Web log Post]. Retrieved from

    http://www.forbes.com/pictures/edgl45fdlj/no-1-dhaka-bangladesh/

    k.  Rodriguez, Michael and Robert Peterson (2011), “Generating Leads Via Social CRM: Early Best 

    Practices for B2B Sales,” National Conference in Sales Management, Orlando, FL. 

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    Research Questionnaire onThe Impact of Social Media in Consumer Preference of Real

    Estate Industry in Bangladesh 

    This questionnaire is prepared to collect primary data about a research on ‘The impact of social media in

    consumer preference of real estate industry in angladesh”. Your response will be of great benefit in

    accomplishing this research. Your identity will remain confidential. Your honest answers/opinions will be

    highly appreciated.

    Please check the appropriate options. 

    General Subject Information:

    Gender:  Male Female

    Age: ☐ 16 – 25 ☐ 26 – 35 ☐ 36 – 45 ☐ 46 – 55 ☐56 and above

    Income All figures are given in thousands):

    ☐ 21- 40 ☐ 41 – 60 ☐ 61 – 80 ☐ 81 – 100 ☐101 and above

    Survey Questions(Check  all that apply) 

    1.  Do you use social media websites? (i.e. Facebook, Twitter, MySpace, etc.)☐ Yes ☐ No 

    2.  If so, which website(s) do you use? Please check all that apply.

    ☐Facebook

    ☐Twitter

    ☐Google+

    ☐MySpace

    ☐Other (please specify): _____________________________________________

    3.  Please indicate your social media website usage by ranking the following websites? (1=

    being most preferred - 4=being least preferred) 

    ______Facebook

    ______Twitter

    ______Google+

    ______MySpace

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    4.  On average, how often do you visit your social media page(s) per day?

    ☐1-5

    ☐6-10

    ☐11-15

    ☐15-20

    ☐ 21 and above

    5.  Please rank the following in order of preferred method to receive content

    (info/tips/updates etc.) (1= being most preferred; 3=being least preferred) 

     ____Social Media Websites

     ____Mobile Text

     ____Email

    6.  Have you noticed promotional elements in your social media page (s)?

    ☐ Yes

    ☐ No

    7.  Have you noticed promotions related to real estate in your social media page (s)?☐ Yes

    ☐ No

    8.  Did you use social media platforms to gather information about products?

    ☐ Yes

    ☐ No

    9.  How often do you use your social media page (s) to gather information about products?☐Regularly

    ☐Often (I visit the site several times per week)

    ☐Rarely (I visit the site once or more per month)

    ☐Infrequently (Less than once a month)

    10. Social media has improved my access to information -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    11. Information gathered from social media platforms about products are reliable - 

    ☐Strongly Disagree

    ☐Disagree

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    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    12. Information gathered from social media platforms about products are more reliable than

    any other source -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    13. Your level of reliability on information gathered from social media has developed by -

    (Please rank order) 

    ___Organization’s Feedbacks___Customer’s Feedback  

    ___Reviews 

    ___Reference from acquaintances

    14. Have you used social media sites to gather information related to real estate? 

    ☐ Yes

    ☐ No

    If, yes then answer question no. 15 to 23

    15. I am positively influenced by real estate promotions through social media platforms

    – 

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    16. What did you analysed to gather information from the social media sites? (Please check

    all that apply) ☐Organization’s given information 

    ☐Organization’s Feedbacks 

    ☐Customer’s Feedback  

    ☐Reviews 

    ☐Reference from acquaintances

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    17. Information gathered from social media platforms about real estate are more reliable than

    any other source -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    18. Information gathered from social media platforms about real estate are more reliable

     because - (Please check all that apply) 

    ☐Organization’s given information 

    ☐Organization’s Feedbacks 

    ☐Customer’s Feedback  

    ☐Reviews 

    ☐Reference from acquaintances

    19. I find social media websites more easily accessible than any other source -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    20. Social media has provided me with access to diverse amount of information related toreal estate -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    21. Social media platforms have made communication with the seller more effective - 

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    22. Gathering information through social media platforms is time efficient -

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    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    23. I find real estate related information from social media marketing more reliable than

    traditional marketing -

    ☐Strongly Disagree

    ☐Disagree

    ☐Neutral

    ☐Agree

    ☐Strongly Agree

    24. Have you used social media websites to purchase any real estate? 

    ☐ Yes

    ☐ No

    ____________________________________________________

    Thank You!

    Your feedback and input is always appreciated.

    Thank you for participating in this survey

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    Table and Frequencies

    Appendices 1

    Do you use social media websites? (i.e. Facebook, Twitter, MySpace, etc.)

    Frequency Percent Valid Percent Cumulative Percent

    Valid Yes 110 100.0 100.0 100.0

    Appendices 2 

    If so, which website(s) do you use? Please check all that apply.

    Websites Frequency Valid Percent Cumulative Percentage

    Facebook 109 99.1 99.1

    Twitter 35 31.8 31.8

    Google+ 68 61.8 61.8

    MySpace 9 8.2 8.2

    Other 1 .9 .9

    Appendices 3

    Please indicate your social media website usage by ranking the following websites? (1= being most

    preferred - 4=being least preferred)

    All figures are given in frequencies

    Being most

     preferred (In

    frequency) 

    Preferred (In

    frequency) 

    Least preferred

    (In frequency) 

    Being least

     preferred (In

    frequency) 

    Cumulative

    percentage

    Facebook 88 20 2 0 100

    Twitter 19 90 1 0 100

    Google+ 1 1 108 0 100

    MySpace 0 0 2 108 100

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    Appendices 4

    On average, how often do you visit your social media page(s) per day?

    Frequency Percent Valid Percent Cumulative Percent

    Valid 1 - 5 28 25.5 25.5 25.5

    6 - 10 21 19.1 19.1 44.5

    11 - 15 35 31.8 31.8 76.4

    16 - 20 23 20.9 20.9 97.3

    21 and above 3 2.7 2.7 100.0

    Total 110 100.0 100.0

    Appendices 5

    Please rank the following in order of preferred method to receive content (info/tips/updates etc.) (1=

     being most preferred; 3=being least preferred)

    Being most preferred

    (In frequency) 

    Preferred (In

    frequency) 

    Least preferred (In

    frequency) 

    Cumulative

    percentage

    Social Media Websites 86 12 12 100

    Mobile Test 12 50 48 100

    Email 12 48 50 100

    Appendices 6

    Have you noticed promotional elements in your social media page (s)?

    Frequency Percent Valid Percent Cumulative Percent

    Valid Yes 110 100.0 100.0 100.0

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    Appendices 7

    Have you noticed promotions related to real estate in your social media page (s)?

    Frequency Percent Valid Percent Cumulative Percent

    Valid Yes 106 96.4 96.4 96.4

     No 4 3.6 3.6 100.0

    Total 110 100.0 100.0

    Appendices 8

    Did you use social media platforms to gather information about products?

    Frequency Percent Valid Percent Cumulative Percent

    Valid Yes 102 92.7 92.7 92.7

     No 8 7.3 7.3 100.0

    Total 110 100.0 100.0

    Appendices 9

    How often do you use your social media page (s) to gather information about products?

    Frequency Percent Valid Percent Cumulative Percent

    Valid Regularly 41 37.3 37.3 37.3

    Often (I visit the site several times

     per week)32 29.1 29.1 66.4

    Rarely (I visit the site once or more

     per month)27 24.5 24.5 90.9

    Infrequently (Less than once a

    month)10 9.1 9.1 100.0

    Total 110 100.0 100.0

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    Appendices 10

    Social media has improved my access to information

    Frequency Percent Valid Percent Cumulative Percent

    Valid Strongly Disagree 2 1.8 1.8 1.8

    Disagree 3 2.7 2.7 4.5

     Neutral 15 13.6 13.6 18.2

    Agree 60 54.5 54.5 72.7

    Strongly Agree 30 27.3 27.3 100.0

    Total 110 100.0 100.0

    Appendices 11

    Information gathered from social media platforms about products are reliable

    Frequency Percent Valid Percent Cumulative Percent

    Valid Strongly Disagree 1 .9 .9 .9

    Disagree 2 1.8 1.8 2.7

     Neutral 15 13.6 13.6 16.4

    Agree 54 49.1 49.1 65.5

    Strongly Agree 38 34.5 34.5 100.0

    Total 110 100.0 100.0

    Appendices 12

    Information gathered from social media platforms about products are more reliable than any other source

    Frequency Percent Valid Percent Cumulative Percent

    Valid Disagree 9 8.2 8.2 8.2

     Neutral 12 10.9 10.9 19.1

    Agree 50 45.5 45.5 64.5

    Strongly Agree 39 35.5 35.5 100.0

    Total 110 100.0 100.0

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    Appendices 13 

    Your level of reliability on information gathered from social media has developed by - (Please rank order)

    Appendices 14

    Have you used social media sites to gather information related to real estate?

    Frequency Percent Valid Percent Cumulative Percent

    Valid Yes 100 90.9 90.9 90.9

     No 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Appendices 15

    I am positively influenced by real estate promotions through social media

    Frequency Percent Valid Percent Cumulative Percent

    Valid Disagree 2 1.8 1.8 1.8

     Neutral 16 14.5 14.5 16.4

    Agree 39 35.5 35.5 51.8

    Strongly Agree 43 39.1 39.1 90.9 Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Rank 1 Rank 2 Rank 3 Rank 4

    Organization’s

    Feedbacks

    27.3% 36.4% 36.4% 0%

    Customer’s Feedback   36.4% 63.6% 0% 0%

    Reviews 36.4% 0% 63.6% 0%

    Reference from

    acquaintances

    0% 0% 0% 100%

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    Appendices 16

    What did you analyzed to gather information from the social media sites? (Please check all that apply)

    Organization's Given Information 

    Frequency Percent Valid Percent Cumulative Percent

    Valid Checked 44 40.0 40.0 40.0

     Non Checked 56 50.9 50.9 90.9

     Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Organization's Feedback  

    Frequency Percent Valid Percent Cumulative Percent

    Valid Checked 100 90.9 90.9 90.9

     Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Customer's Feedback  

    Frequency Percent Valid Percent Cumulative Percent

    Valid Checked 74 67.3 67.3 67.3

     Non Checked 26 23.6 23.6 90.9

     Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Review 

    Frequency Percent Valid Percent Cumulative Percent

    Valid Checked 68 61.8 61.8 61.8

     Non Checked 32 29.1 29.1 90.9

     Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

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    Reference from acquaintances 

    Frequency Percent Valid Percent Cumulative Percent

    Valid Checked 14 12.7 12.7 12.7

     Non Checked 86 78.2 78.2 90.9

     Not Related 10 9.1 9.1 100.0

    Total 110 100.0 100.0

    Appendices 17 

    Information gathered from social media platforms about real estate are more reliable than any other

    source

    Frequency Percent Valid Percent Cumulative Percent

    Valid Strongly Disagree 2 1.8 1.8 1.8

    Disagree 6 5.5 5.5 7.3

     Neutral 15 13.6 13.6 20.9

    Agree 48 43.6 43.6 64.5

    Strongly Agree 29 26.4 26.4 90.9