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研究生:杜拉蒙
研究生(外文):DUARTE ROMERO, RAMON
論文名稱(外文):Using the Technology Acceptance Model to Investigate Shared Transport System Adoption Intention: An Example of Tainan City
指導教授:陳怡昌陳怡昌引用關係
指導教授(外文):CHEN, YI-CHANG
口試委員:李政隆楊賀雯
口試委員(外文):LI, CHENG-LUNGHO-WEN-YANG
口試日期:2018-05-18
學位類別:碩士
校院名稱:崑山科技大學
系所名稱:企業管理研究所
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:英文
論文頁數:74
外文關鍵詞:Sharing EconomyTechnology Acceptance ModelShared Transport System
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As growing concerns about global issues as motorization and climate changes have increased the interest to find out a better and friendly way with the environment and create more sustainable transportation alternatives to protect the world; it gave rise to the term Sharing Economy. Through this research is considered as a principal focus on the context of the sharing economy in the transportation industry area, and the principal purpose of this paper has analyzed the factor that could affect the using of the public transportation, adopting the Technology Acceptance Model (TAM). The investigation is taken two sharing economy examples, the bicycle sharing system as (C-bike, Youbike, iBike, T-bike) and the UBER transportation system. Four factors will be attempted to analyze in this research as the Perceived of Quality (PQ), Perceived of Convenience (PC), Perceived of Value (PV) and the Adoption Intention (AI) of the customers. This paper is aimed to understand the importance of the customer perception using the TAM and trying to answer the questions between different perceptions that could be associated with the adoption intention of the customers. Also, this study will explain the relationship between the implementation of a new technological system and the human behavior and perception that could be affected by several variables. After having 190 sample survey, this study has the following conclusion, the investigation proven the importance of the different perceptions which are playing an important role in the adoption intention of the new technology system. Some managerial suggestion would be proposing from the findings in this research.
Table of Contents

Abstract I
Acknowledgements II
Table of Contents III
List of Tables V
List of Figures VI
Chapter 1. Introduction 7
1.2 Research Motivation and Purpose. 8
1.3 Research Objectives 9
1.4 Research Questions 10
1.5 Research Process 11
Chapter 2. Literature Review. 12
2.1 Sharing Economy 12
2.1.1 Terms for ‘Sharing Economy’ 12
2.1.2 Origin of ‘Sharing Economy’ 14
2.1.3 The rise of the “Sharing Economy”. 15
2.1.4 Limitations of Sharing Economy concept 17
2.1.5 Public Transportation 18
2.2 Technology Acceptance Model (TAM) 22
2.2.1 TAM Conceptual Model 22
Chapter 3. Research Design 25
3.1 Research Framework 25
3.2 Research Hypothesis 27
3.3 Likert Scale 30
3.4 Research Measurement 30
3.4.1 Questionnaires TAM 31
3.5 Sampling 33
3.6 Analysis Techniques 33
3.6.1 Descriptive Statistics 34
3.6.2 Reliability Test 34
3.6.3 Factor Analysis 34
3.6.4 t-Test 35
3.6.5 ANOVA 35
3.6.6 Regression 35
3.7 Factor Analysis and Reliability test 37
3.7.1 Public Bicycle Factor Analysis and Reliability test 37
3.7.2 Uber Factor Analysis and Reliability test 40
Chapter 4. Data Analysis and Findings 43
4.1 Descriptive Analysis 43
4.2 The Results of t-Test 43
4.2.1 t-Test for Gender 44
4.2.2 t-Test for Age 45
4.2.3 t-Test for Grade 46
4.2.4 t-Test for University 46
4.2.5 t-Test for Nationality 47
4.3 The Result of Correlation 48
4.4 The Result of Regression 49
Chapter 5. Conclusions and Suggestions 54
5.1 Summary 54
5.1.1 The Results of Descriptive Analysis 54
5.1.2 The Result of t-Test Analysis 54
5.1.3 The Result of Regression Analysis 56
5.1.4 The Result of Hypothesis 58
5.2 Suggestions 59
5.3 Research Limitations 62
References 63
Appendix A: English Questionnaire 67
Appendix B: Chinese Questionnaire 71


Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.
Ansari, N. L., Weber, L., Hood, S., Otto, C., & Sawayda, J. (2015). Uber Technologies Incorporated. Managing Opportunities and Challenges. Retrieved from http://danielsethics.mgt.unm.edu.
Bandura, A. (1999). Social cognitive theory: An agentic Albert Bandura. Asian Journal of Social Psychology, 2, 21–41.
Bechand-Marleau, J.; Lee, B.H.Y.; El-Geneidy, A.M. (2012). Better understanding of factors influencing likelihood of using shared bicycle systems and frequency of use. Journal Transportation Research Board 2314, 66–71.
Botsman, R. (2015). An economic review on the Collaborative Economy. Defining the Sharing Retrieve Fromhttp://www.europarl.europa.eu/RegData/etudes/IDAN/2016/595358/ IPOL_IDA(2016)595358_EN.pdf.
Chuttur, M. (2009). Overview of the Technology Acceptance Model: Origins, Developments and Future Directions, Indiana University, USA. Sprouts: Working Papers on Information Systems, 9, 1–23.
Corrall, S. (2010). Understanding the Diffusion of Public Bikesharing Systems. Evidence from Europe and North America. Universities of Leeds, Sheffield and York, 64, 49-67.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, And User Acceptance. Management Information System Quarterly, 13, 319–339.
Delaware Survey. (2013). Validity and Reliability Report. Santa Cruz CA, USA. Retrieved from https://telldelaware.org/uploads/File/DE13_Brief_Val_Rel.pdf.
Fishman, E. (2016). Bikeshare: A Review of Recent Literature. Transports Reviews, 36, 92–113.
Franken, K. (2015). Smarter regulation for the sharing economy, The Guardian. Retrieved from https://www.theguardian.com/science/political-science/2015/may/20/smarter-regulation-for-the-sharing-economy.
Fuller, D.; Gauvin, L.; Kestens, Y.; Daniel, M.; Fournier, M.; Morency, P.; Drouin, L. (2011). Use of a new public bicycle: Share program in Montreal, Canada, 41, 80–83.
Fuller, D.; Gauvin, L.; Kestens, Y.; Daniel, M.; Fournier, M.; Morency, P.; Drouin, L. (2013). Impact evaluation of a public bicycle share program on cycling. A case example of BIXIN in Montreal, Quebec, 103, 85–92.
Geels, F. W., Kemp, R., &Dudley, G. (2012). Environmental Innovation and Societal Transitions. 5,1-80.
Glover, L. (2011). Public Transport as a Common Pool Resource. Australasian Transport Research Forum. Retrieved from http://www.patrec.org/atrf.aspx.
Hamari, J., Sjöklint, M., &Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67, 2047–2059.
Lathia, N.; Ahmed, S.; Capra, L. (2012). Measuring the impact of opening the London shared bicycle scheme to casual users. Transportation Research, 22, 88–102.
Latitude (2014). The new sharing economy. A study by latitude in collaboration with Shareable Magazine. Retrieved from http://latdsurvey.net/pdf/Sharing.pdf.
Maselli, I. (2016) Policy Department A: Economic and Scientific Policy. An economic review on the Collaborative Economy, 2,1-32.
Petropoulos, G. (2017). An economic review of the collaborative economy. Policy Contribution. 5, 1-17.
Rahel, S. (2016). Economics of the Taxi Industry: An Uber Shake-up. International Organization Scientific Research Journal of Business and Management, 2, 65–74.
Rogers, E. M. (1995). Diffusion of innovations. London, England. McMillian Publishing Co.
Romer, C. D. (2003). Great Depression. Forthcoming in the Encyclopedia Britannica. Retrieved from http://eml.berkeley.edu/~cromer/great_depression.pdf
Roos, D., & Hahn, R. (2017). Understanding Collaborative Consumption: An Extension of the Theory of Planned Behavior with Value-Based Personal Norms. Journal of Business Ethics, 1, 1–19.
Selloni, D. (2017). Codesign for Public-Interest Services. Switzerland. Springer International Publishing AG.
Sherwood, K.; Murphy, J. (2014). Expanding a municipal bike share system into an urban national park through community partnerships: The city of San Antonio and Antonio missions national historical park. Proceedings of the 93rd Annual Meeting of the Transportation Research Board (pp. 12–16). Washington, DC, USA.
Venkatesh, V. (2012). Consumer acceptance and use of Information Technology. Extending the Unified Theory, 36, 157–178.
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model and a Research Agenda on Interventions. Decision Science, 39, 273–315.
Venkatesh, V., Morris, M. G., Davis, G. B., &Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. Management Information System Quarterly, 27, 425–478.
Wallsten, S. (2015). The Competitive Effects of the Sharing Economy: How is Uber Changing Taxis. Technological Policy Institute. Retrieved from www.researchgate.net/publication /279514652
Xinhua Net. (2015). The Public Bicycle System is not Popular. Retrieved from http://news.xinhuanet.com/local/2014-04/24/c_1110398169.htm

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