以延伸科技接受模型探討開發中及已開發國家消費者之線上購物意願

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研究生：	高秀珍 AURELIA KUKUH
論文名稱：	以延伸科技接受模型探討開發中及已開發國家消費者之線上購物意願 Attitudes toward Online Shopping Intentions Using Extended Technology Acceptance Model: A Comparison of Developing and Developed Country
指導教授：	林希偉 Shi–Woei Lin
口試委員:	王孔政 Kung-Jeng Wang 黃文曄 Wen-Yeh Huang
學位類別：	碩士 Master
系所名稱：	管理學院 - 管理學院MBA School of Management International (MBA)
論文出版年：	2017
畢業學年度：	105
語文別：	英文
論文頁數：	59
中文關鍵詞：	電子商務、已開發國家、開發中國家、延伸性科技接受模型
外文關鍵詞：	E–Commerce, Developed Country, Developing Country, Extended–Technological Acceptance Model
相關次數：	點閱：365 下載：18
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網際網路之快速增長，不僅進入消費者的日常生活，也因而促使產業界投入電子商務之營運。公司行號及個人上網購買產品及服務的趨勢，讓電子商務不僅成為普遍現象，也因此發展出以網路經濟為基礎的新商業模式。
然而，過去僅有少數研究著眼於探究已開發國家及開發中國家線上消費者的特性，及分析影響不同類型的國家的消費者透過網路購物的意圖與影響因素是否存在差異。畢竟相較於已開發國家，多數開發中國家的通訊科技及其基礎建設較為缺乏，這些結構上的差異可能影響消費者的態度與行為。
本研究採用延伸性科技接受模型（E-TAM），測試二種類型國家的消費者的信念與使用意圖間的關係強度是否存在顯著差異，並進一步針對不同國家提出改善電子商務實務之具體建議。研究結果指出，對不同類型國家之消費者，可有效激勵消費者上網購物的因素存在明顯差異，本研究並且提出一個修正架構供未來研究者參考。

The rapid proliferation of the internet uses increasingly penetrates our daily lives. It gave rise to the business concept of electronic commerce (e–commerce), which has become a common phenomenon nowadays, as organizations and individuals purchase commodity and services online.
However, there are very limited studies to investigate factors influencing individual’s online shopping intention in different country classification groups, namely developed and developing countries. Most developing countries, however, have poor technology and communication infrastructure compared to the developed countries that might affect their consumers’ behavior. In this study, extended–technological acceptance model (E–TAM) is used to test whether the theoretical relationship between beliefs and intentions is different for consumers with these two distinguished country characteristics and to suggest some improvement for business practices in each country. Results of this study has identified different factors that encourage consumers from different countries to do online shopping and suggested a new framework that might be addressed by other researchers in the future.

摘要 ................................................................................................................................... i
ABSTRACT .....................................................................................................................ii
ACKNOWLEDGEMENT .............................................................................................. iii
TABLE OF CONTENTS ................................................................................................ iv
LIST OF TABLES ....................................................................................................... viii
LIST OF FIGURES .......................................................................................................... x
CHAPTER 1 INTRODUCTION ...................................................................................... 1
1 Research Motivation and Background ............................................................... 1
2 Research Question ............................................................................................. 3
3 Research Objective ............................................................................................ 3
4 Research Scope .................................................................................................. 4
5 Research Content ............................................................................................... 4
6 Research Flowchart ................................................................................................ 5
CHAPTER 2 LITERATURE REVIEW ........................................................................... 7
1 Online Store and Online Shopping ......................................................................... 7
2 Extended TAM (E–TAM) .................................................................................... 11
2.1 Perceived Usefulness ..................................................................................... 12
2.2 Perceived Ease of Use ................................................................................... 12
2.3 Perceived Enjoyment ..................................................................................... 12
2.4 Online Shopping Intention ............................................................................ 13
2.5 Extended TAM Framework ........................................................................... 13
3 Country Classifications ........................................................................................ 14
3.1 Country Classifications Criteria .................................................................... 15
4 The Impact of Online Business in Developed and Developing Countries ........... 15
v
4.1 E–Commerce Problem in Developing Countries .......................................... 16
5 Major Empirical Study ......................................................................................... 17
CHAPTER 3 RESEARCH METHODOLOGY ............................................................. 19
1 Research Approach and Design ............................................................................ 19
2 Hypotheses and Research Framework .................................................................. 21
3 Survey Methodology ............................................................................................ 23
3.1 Questionnaire Design .................................................................................... 23
3.2 Conceptual Definition ................................................................................... 24
3.3 Operational Definition ................................................................................... 24
4 Data Collection Method ....................................................................................... 26
4.1 Sampling Method .......................................................................................... 26
5 Statistical Analysis/Tools ..................................................................................... 27
5.1 Pilot Study ..................................................................................................... 27
5.2 Factor Analysis .............................................................................................. 28
5.3 Regression Analysis ...................................................................................... 28
5.4 Validity Test .................................................................................................. 29
5.5 Reliability Test .............................................................................................. 29
CHAPTER 4 DATA COLLECTION AND ANALYSIS .............................................. 30
1 Survey Data Collection......................................................................................... 30
2 Validity Test Result .............................................................................................. 34
3 Reliability Test Result .......................................................................................... 37
4 Hypothesis Testing of the TAM Model................................................................ 37
4.1 Significance Test between Perceived Ease of Use (PEoU) and Perceived Usefulness (PU) ...................................................................................................... 37
4.2 Significance Test between Perceived Usefulness (PU) and Online Shopping Intention (OSI)........................................................................................................ 38
4.3 Significance Test between Perceived Ease of Use (PEoU) and Online Shopping Intention (OSI) ....................................................................................... 38
vi
4.4 Significance Test between Perceived Enjoyment (PE) and Online Shopping Intention (OSI)........................................................................................................ 39
4.5 Significance Test of Effects between Perceived Usefulness (PU), Perceived Ease of Use (PEoU), Perceived Enjoyment (PE) and Online Shopping Intention (OSI) ....................................................................................................................... 39
5 Hypothesis Testing of the Country Moderating Effect ........................................ 40
5.1 Test the Moderating Effect of Country on the Relationship between Perceived Ease of Use (PEoU) and Perceived Usefulness (PU) ............................ 41
5.2 Country Classification Moderating Variable Significance Test in the Relationship between Perceived Usefulness (PU) and Online Shopping Intention (OSI) ....................................................................................................................... 43
5.3 Country Classification Moderating Variable Significance Test in the Relationship between Perceived Ease of Use (PEoU) and Online Shopping Intention (OSI)........................................................................................................ 45
5.4 Country Classification Moderating Variable Significance Test in the Relationship between Perceived Enjoyment (PE) and Online Shopping Intention (OSI) ....................................................................................................................... 47
5.5 Test the Moderating Effect of Country on the Relationship between Perceived Usefulness (PU), Perceived Ease of Use (PEoU), Perceived Enjoyment (PE) and Online Shopping Intention (OSI) ............................................................ 49
6 Mediating Effect Analysis .................................................................................... 51
CHAPTER 5 CONCLUSION AND RECOMMENDATION ....................................... 54
1 Conclusion ............................................................................................................ 54
1.1 Research Findings ......................................................................................... 54
1.2 Framework Suggestion .................................................................................. 56
2 Managerial Implication ........................................................................................ 56
3 Research Limitations ............................................................................................ 58
4 Future Research .................................................................................................... 59
vii
APPENDIX 1: QUESTIONNAIRE (ENGLISH VERSION) ......................................... xi
APPENDIX 2: QUESTIONNAIRE (BAHASA VERSION)......................................... xv
APPENDIX 3: QUESTIONNAIRE (CHINESE VERSION) ....................................... xix
APPENDIX 4: PEARSON CORRELATION RESULT (INDONESIA RESPONDENT) .................................................................................................................................... xxiii
APPENDIX 5: PEARSON CORRELATION RESULT (TAIWAN RESPONDENT) ..................................................................................................................................... xxiv
REFERENCE ............................................................................................................... xxv
                                

Adamson, I. and Shine, J. 2003. Extending the new technology acceptance model to measure the end user information systems satisfaction in a mandatory environment: A bank’s treasury. Journal of Technology Analysis and Strategic Management, Vol. 15(4), pp. 441– 455
Ajzen, I. 1985. From intentions to actions: a theory of planned behavior. In: Kuhl J, Beckmann J, editors. Action Control: From cognition to Behavior. Berlin: Springer, pp.101 – 128
Ajzen, I. and Fishbein, M. 1980. Understanding attitudes ad predicting social behavior. Englewood Cliffs, NJ: Pretince Hall
Al–Mowalad, A. and Putit, L. 2012. The extension of TAM: The effects of social media and perceived risk in online purchase. Conference Paper
Alam, S.S., Bakar, Z., Ismail, H., and Ahsan, N. 2008. Young Consumers online shopping: an empirical study. Journal of Internet Business, Issue 5, pp. 81 – 98 Almousa, M. 2013. Barriers to e–commerce adoption: Consumers’ perspective from a developing country. Scientific Research, iBusiness, Vol. 5, pp. 65 – 71. Alyoubi, A.A., 2015. E–commerce in developing countries and how to develop them during the introduction of modern systems. Procedia Computer Science Vol. 65, pp. 479 – 483 Amor, D. 1999. The e-business (r)evolution. Upper Saddle River: Prentice Hall.
Babbie, E.R. 2010. The Practice of Social Research. 12th ed. Belmont, CA: Wadsworth Cengage.
Baron, R.M., & Kenny, D.A. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology. Vol. 51, pp. 1173 – 1182.
Bartholomew, D.J., Steele, F., Galbraith, J., and Moustaki, I. 2008. Analysis of Multivariate Social Science Data. Statistics in the Social and Behavioral Sciences Series (2nd ed.). Taylor & Francis Beynon, D.P. 2004. E-Business. Palgrave, Basingstoke.
Bhattacherjee, A. 2001. An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, Vol. 32(2), pp. 201 – 214
Bruner II G.C. and Kumar A. 2005. Explaining customer acceptance of handheld internet devices. Journal of Business Research, Vol 58(5), pp. 553 – 558
Cheema, U., Rizwan, M., Jalal, R., Durrani, F. and Sohail, N. 2013. The Trend of Online Shopping in 21st Century: Impact of Enjoyment in TAM Model, Asian Journal of Empirical Research, Vol. 3(2), pp. 131 – 140 Chen, L.D. and Tan, J. 2004. Technology adaptation in e–commerce: Key determinants of virtual stores acceptance. European Management Journal, Vol. 22(1), pp. 74 – 86
Childers, T.L., Carr, C.L., Peck, J., and Carson S. 2001. Hedonic and utilitarian motivations for online retail shopping behavior. Journal Retail, Vol. 77(4), pp. 551 – 535
Creswell, J.W. 2014. Research design: Qualitative, quantitative, and mixed methods approaches. Thousand Oaks, California: SAGE Publications
Cronbach, L. J. 1971. Test validation. In R. L. Thorndike (Ed.). Educational Measurement (2nd ed.). Washington, D. C.: American Council on Education. Dabholkar, P.A. 1996. Consumer evaluations of new technology based self service: Moderating effects of consumer traits and situational factors. Journal of the Academy of Marketing Science. Vol. 30 (3), pp.319 – 340 David A.F. 2005. Statistical Models: Theory and Practice, Cambridge University Press
Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol. 13 No.3, pp. 319 – 340
Dennis, T. C. 2010. Driving online shopping: Spending and behavioral differences
among women in Saudi Arabia, Journal of Business Science and Applied
Management, Vol. 5(1)
Dewanto, T. N. 2016. “4 Reasons Why Indonesian Are Social Online Shoppers”
https://tuhunugraha.com/digital-strategy/2016/10/22/4-reasons-why-indones
ian-are-social-online-shoppers/. Retrieved: 2017, July 12.
Forrester Research. October 14, 2014. Canadian Online Retail Forecast 2014 to 2019.
Peter Sheldon et al. Retrieved: May 09, 2017
Fortune Magazine, Jun 08, 2016. Fortune Magazine Consumers Are Now Doing Most
of Their Shopping Online. Madeline Farber. Retrieved: May 09, 2017
Gawady, Z.M.E. 2005. The impact of ecommerce on developed and developing
countries case study: Egypt and United States. International Conference of
Globalization, Technology, and Sustainable Development. United Arab
Emirated University, World Association for Sustainable Development, Al Ain,
UAE, 21 – 22 November 2005.
Gefen, D, Karahanna, E, and Straub, D. W. 2003. Inexperience and experience with
online stores: the importance of TAM and trust. IEEE Transaction on
Engineering Management, Vol. 50 No. 3, pp. 307 – 321
Gong, W., Maddox, L.M., and Stump, R.L. 2012. Attitudes toward online shopping: A
comparison of online consumers in China and the US. International Journal of
E–Business Development. Vol.2 (1) pp. 28 – 35
Ha, S. and Stoel, L. 2009. Consumer e–shopping acceptance: antecedents in a
technology acceptance model. Journal of Business Research, Vol. 2, pp. 565 –
571
Hasbullah, N.A, Osmas, A., Abdullah, S., Salahuddin, S.H., Ramlee, N.F, and Soha,
H.M. (2016) The relationship of attitude, subjective norm, and website
useability on consumer intention to purchase online: An evidence of
Malaysian youth. Procedia Economics and Finance Vol. 35, pp. 493 – 502
xxviii
Hsu, C.L. and Lu, H.P. 2004. Why do people play on–line game(s)? An extended TAM
with social influences and flow experience. Journal of Information
Managemenet, Vol. 41(7), pp. 853 – 868
Huang, L., Lu, M.T., and Wong, B.K. 2003. The impact of power distance on email
acceptance: evidence from the PRC. Journal of Computer Information System,
Vol. 44(1) pp. 93 – 101
Internet World Stats. 2017. Internet Usage Statistics: The internet Big Picture, World
Internet Users and 2017 Population Stats
Jarvenpaa, S. L. and Todd, P. A. 1997. Consumer reactions to electronic shopping on
the world wide web. International Journal of Electronic Commerce, Vol. 1, pp.
59 – 88
Javadi, M.H.M, Dolatabadi, H.R., Nourbakhsh, M., Poursaeedi, A., and Asadollahi,
A.R. 2012. An analysis of factors affecting on online shopping behavior of
consumers. International Journal of Marketing Studies, Vol. 4(5), pp.81 – 98
Keisidou, E., Sarigiannidis, L., and Maditinos, D. 2011. Consumer characteristics and
theit effect on accepting online shopping, in the context as different product
types. International Journal of Business Science and Applied Management,
Vol. 6 (2), pp. 31 – 51
Kemp, Simon. 24 Jan 2017. Digital in 2017: Global Overview. We are Social.
Retrieved: May 12, 2017. https://wearesocial.com/blog/2017/01/digital-in-
2017-global-overview
King, S.F. and Liou, J.S. 2004. A framework for internet channel evaluation.
International Journal of Information and Management, Vol. 24, pp. 473 – 488
Labaree, R. 2016. Types of Research Designs. Organizing Your Social Sciences
Research Papers: Types of Designs research guide. USC Libraries
Lowry, P.B., Cherrington, J.O., and Watson, R.J. 2001. E-Business Handbook. Boca
Raton, FL: CRC Press
Marczyk, G. R., DeMatteo, D., and Festinger, D. 2005. Essentials of research design
and methodology. Hoboken, N.J: John Wiley & Sons
McNabb, D.E. 2008. Research Methods in Public Administration and Nonprofit
Management: Quantitative and Qualitative Approaches (2nd ed.). Armonk, NY:
M.E. Sharpe
Monsuwe, T.P., Dellaert, B.G.C., and deRuyter, K. 2004. What drives consumers to
shop online? A literature review. International Journal of Service Industry
Management, Vol. 15(1), pp. 102 – 121
Mirmiran, S.F. and Shams, A. 2015. The study of differences between e–commerce
impacts on developed countries and developing countries, case study: USA
and Iran. New Marketing Research Journal, pp.79 – 100.
Moon, J. and Kim, Y. 2001. Extending the TAM for a world wide web context.
Information & Management, Vol. 38, pp. 217 – 230
Moskal, B.M. and Leydens, J.A. 2000. Scoring rubric development: Validity and
reliability. Practical Assessment, Research & Evaluation, Vol. 7(10)
Muijs, D. 2010. Doing Quantitative Research in Education with SPSS (2nd ed.).
London: SAGE Publications
Nielsen Global Survey. 2014. “87% of Taiwanese Consumers Consider Shopping,
Purchasing Online.”
http://www.nielsen.com/tw/en/insights/news/2014/taiwan-consumers-onlineshopping-
top-5-categories.html. Retrieved: 2017, July 12.
Parsons, A.G. 2002. Non–functional motives for online shoppers: Why we click.
Journal Consum Market, Vol 19(5), pp. 380 – 392
Pour, M.K. 2006. Encyclopedia of E-commerce, E-government and Mobile Commerce.
IGI Publishing Hershey, PA, USA
Quantitative Research Methods. 2007. Writing@CSU. Colorado State
University; Singh, Kultar. Quantitative Social Research Methods. Los
Angeles, CA: Sage
Ronald A.F. 1954. Statistical Methods for Research Workers (12th ed.). Edinburgh:
Oliver and Boyd
Sakarya, S. and Soyer, N. 2013. Cultural Differences in Online shopping behavior:
Turkey and the United Kingdom. International Journal of Electronic
Commerce Studies, Vol. 4(2), pp. 213 – 238
Statista. 2016. Statistics and facts about global e-commerce. Retrieved: May 02, 2017.
https://www.statista.com/topics/871/online-shopping/
Stylianou, A.C., Robbin, S.S., and Jackson, P. 2003. Perceptions and attitudes about e–
commerce development in chine: an exploratory study. Journal of Global
Information Management, Vol. 11(2), pp. 31 – 47
Suh, B., Han, I. 2002. Effect of trust on customer acceptance of internet banking.
Journal of Electronic Commerce Research and Application, Vol. 1(4), pp. 247
– 263
Thong, J.Y.L., Hong, S.J., and Tam. K.Y. 2006 The effects of post–adoption beliefs on
the expectation–confirmation model for information continuance. International
Journal of Human–Computer Studies, Vol. 64(9), pp. 799 – 810
Turan, A.H. 2012. Internet shopping of Turkish customers: Comparison of two
competing models. Journal of Theoretical and Applied Electronic Commerce
Research, Vol. 7(1), pp. 77 – 93.
Van der Heijden, H. and Verhagen, T. 2004. Online store image: Conceptual
foundations and empirical measurement. Journal of Information Management,
Vol. 41(5), pp. 609 – 617
Venkatesh, V. and Davis, F.D. 2000. A theoretical extension of the technology
acceptance model: Four longitudinal field studies. Journal of Management
Science, Vol. 46(2), pp. 186 – 204
Venkatesh, V. and Speier, C. 2000. Creating an effective training environment for
enhancing telework. International Journal of Human–Computer Studies, Vol.
78 (1), pp. 991 – 1005.

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