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研究生:黃女鈴
研究生(外文):Melys Wijaya Oey
論文名稱:印尼網路使用者對於O2O模式的認知研究-知曉度與知覺風險之調節效果
論文名稱(外文):Internet User’s Perceptions towards O2O (Online-to-Offline) in Indonesia: The Moderation Effect of Awareness and Perceived Risk
指導教授:王本正王本正引用關係
指導教授(外文):Wang, Ben-Jeng
口試委員:張壯熙陳永瑞
口試委員(外文):CHANG,CHUANG-HSICHEN,YONG-RUI
口試日期:2016-01-12
學位類別:碩士
校院名稱:東海大學
系所名稱:企業管理學系碩士班
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:2016
畢業學年度:104
語文別:英文
論文頁數:87
中文關鍵詞:電子商務O2OTAM知曉度知覺風險調節分析
外文關鍵詞:E-commerceO2OTAMAwarenessPerceived RiskModeration Analysis
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近年網路購物在以發展過家已被廣為使用,然而這樣的購物模式也廣泛的在發展中國家被使用,像是印度尼西亞。目前一種電子商務模式稱為O2O剛進入印尼市場,本研究目的是找出印尼消費者對此O2O模式的看法,並進一步加入調節變數解釋消費者的看法之影響。本研究是科技接受模式(Technology Acceptance Model, TAM)為基礎,並加入知曉度與知覺風險作為調節變數。本研究採用量化的方法,分別透過社群媒體與通訊應用程式,如Facebook與LINE,回收379份問卷。研究結果顯示O2O商業模式是被印尼的網路使用者所接受的,而在調節變數『感知易用性』(perceived ease of use, PEOU)與『知覺風險』及『知曉度』並無顯著的調節效果;『知曉度』與『感知有用性』(perceived usefulness, PU)是具有顯著的,只有『知覺風險』與『感知有用性』則具有部份調節的效果。
Online shopping has become well-known these days for both in developed countries and developing countries, like Indonesia for example. One of the E-commerce business model that is now starting to enter Indonesia market is called O2O. This study is aimed to find out the perceptions of O2O in Indonesia from its consumer by adding moderator variable to the model. Technology Acceptance Model (TAM) is conducted in this study, with additional of awareness and perceived risk as the moderator variables. Using quantitative method, this study has gathered 379 respondents collected from questionnaire distribution through the social media and messenger application such as Facebook and LINE. Results from this study showing that the O2O business model is accepted by Indonesia’s internet user with both moderator variables don’t have significant relationship with the perceived ease of use, awareness is significantly related with the perceived usefulness and the perceived risk is only partially moderates the perceived usefulness.
Abstract i
中文摘要 ii
Table of Contents iii
List of Table v
List of Figure vi
Chapter 1 – Introduction 1
1.1 Background 1
1.2 Research Purpose 4
1.3 Research Problem Statement 5
1.4 Significance of Study 5
1.5 Thesis Structure 5
Chapter 2 – Literature Review 7
2.1 E-Commerce 7
2.2 Online-to-Offline (O2O) 9
2.3 Technology Acceptance Model (TAM) 10
2.4 Awareness 12
2.5 Perceived Risk 12
2.6 Past Research 15
Chapter 3 – Methodology 17
3.1 Research Method 17
3.2 Research Model and Research Hypothesis 17
3.3 Population and Sample 19
3.4 Data Collection Technique 20
3.5 Operational Definition Variable 23
3.6 Analyzing Data Technique 25

Chapter 4 – Analysis and Result 29
4.1 Questionnaire Results and Analysis 29
4.2 Research Variables Descriptive Analysis 45
4.3 Reliability Analysis 46
4.4 Validity Analysis 49
4.5 Multicollinearity Analysis 53
4.5 Moderation Regression Analysis 53
4.7 Hypotheses Testing Result 55
Chapter 5 – Conclusion 59
5.1 Conclusion 59
5.2 Managerial Implications 60
5.3 Suggestion 61
References 63
Appendices 68

A.Journal
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Fairchild, A. J. and David P. Mackinnon. (2014). Using Mediation and Moderation Analyses to Enhance Prevention Research. Advances in Prevention Science, Vol.1 Defining Prevention Science, pp. 537 – 555.

Featherman, Mauricio S., and Paul A. Pavlou. (2003). Predicting e-services adoption: a perceived risk facets perspective. Int. J. Human-Computer Studies 59, 451–474.

Gunawan, Wilson, Wei Wei Goh, and Jer Lang Hong. (2013). Exploring Students’ Perceptions of Learning Management System: An Empirical Study Based on TAM. IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), 367 – 372.

Harsandi, B., Purnama, J.,Soetomo, M.A.A., and Galinum, M. (2013). Internet User Trust Measurement Analysis towards E-Commerce System in Indonesia. ICACSIS, 225-230.

Hassan, A. M., Michele B. K., Allison W. P., Fatma A. M. (2006). Conceptualization and measurement of perceived risk in online shopping. Marketing Management Journal 16(1), 138-147.

Karazsia, B. T, Kristoffer S. B., Bridget A., David M. J., Katherine E. D. (2014). Integrating Mediation and Moderation to Advance Theory Development and Testing. Journal of Pediatric Psychology 39(2) pp. 163–173.

Klopping, Inge M., and Earl McKinney. (2004). Extending The Technology Acceptance Model And The Task-Technology Fit Model To Consumer E-Commerce. Information Technology, Learning, and Performance Journal, 22(1), 35 – 48.

Kumar, Vinay, and Dr. Ujwala Dange. (2014). A study on perceived risk in online shopping of youth in Pune: A factor analysis. Acme Intellects International Journal of Research in Management, Social Sciences & Technology Vol.8, Page 1 – 9.

Indonesia Internet User statistic 2015 [cited 2015 05/15]; Available from: http://www.internetlivestats.com/internet-users/indonesia/.

Laroche, Michel, Gordon H. G. M., Jasmin B., Zhiyong Y. (2004). Exploring How Intangibility Affects Perceived Risk. Journal of Service Research, Volume 6, No. 4, p. 373 – 389.

Mohamed, F. A., Ahmad M. H., Barbara S. (2011). Conceptualization and Measurement of Perceived Risk of Online Education. Academy of Educational Leadership Journal, Vol. 15, No. 4, Page 1 – 16.

Montague, David A. (2011). Essentials of Online Payment Security and Fraud Prevention. Hoboken, NJ: John Wiley & Sons.

Najafi, Issa. (2012). The Role of e-Commerce Awareness on Increasing Electronic Trust. Life Science Journal Vol. 9 (4), Page 1487 – 1494.

Ngai, E. W. T., and F. K. T. Wat. (2002). A Literature Review and Classification of Electronic Commerce Research. Information & Management 39, pp. 415-429.

Pavlou, Paul A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, Vol. 7, No. 3, pp. l01 – 134.

Phang, Chee Wei, Chuan-Hoo Tan, Juliana Sutanto, Fabio Magagna, and Xianghua Lu. (2014). Leveraging O2O Commerce for Product Promotion: An Empirical Investigation in Mainland China. IEEE Transactions on Engineering Management, Vol. 61, No. 4, pp. 623 – 632.

Ro, Heejung. (2012). Moderator and Mediator Effects in Hospitality Research. International Journal of Hospitality Management 31, 952 – 961.

Schiavon S., and Lee K. H. (2012). Dynamic Predictive Clothing Insulation Models Based On Outdoor Air and Indoor Operative Temperatures. Building and Environment. http://dx.doi.org/10.1016/j.buildenv.2012.08.024

Shen, Chentao, and Wang, Yongle. (2014). Online to Offline Business Model: Comparative Study of Chinese O2O Companies. Halmstad University.

Suhendra, E. Susy, Budi Hermana, and Toto Sugiharto. (2009). Behavioral Analysis of Information Technology Acceptance in Indonesia Small Enterprises. Anadolu International Conference in Economics, Turkey.

Ueltschy, Linda C., Robert F. K., Peter Y. (2004). A Cross-National Study of Perceived Consumer Risk towards Online (Internet) Purchasing. The Multinational Business Review, Vol. 12(2), p.59 - 82.
Wang, Feng-Sheng, and Lai Gu-Hsin. (2014). Empirical Study to Design Field Applications for O2O (Online to Offline) Business Model in Tourism with Mobile Computing and Cloud Service Supports. 産研論集 No. 46-47, 193 – 199.

Wu, Jen-Her, and Shu-Ching Wang. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management 42, 719–729.

Zhixin. (2012). Analysis of O2O commerce model. Journal of Science and Technology (Social Sciences Edition). No.13.

B.Books
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Cooper, Donald R., and Pamela S. Schindler. (2014). Business Research Methods, Twelfth Edition. New York: McGraw-Hill.

Hair, J. F., Black, W.C., Babin, B. H., and Anderson, R. E. (2010). Multivariate Data Analysis (seventh edition). New Jersey: Pearson Prentice Hall.

Sugiyono. (2014). Metode Penelitian Pendidikan (Pendekatan Kuantitatif, Kualitatif dan R&D). Bandung: Alfabeta.

Turban, Efraim, David King, and Judy Lang. (2011). Introduction to Electronic Commerce. New Jersey: Pearson Prentice Hall. 

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