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姓名 蘇晟瑋(Cheng-wei Su)  查詢紙本館藏   畢業系所 資訊管理學系
論文名稱 網路拍賣的原諒行為對潛在消費者信任度及購買意圖之影響
(The Effect of Forgiveness in Online Auction on Potential Consumers’ Trust and Purchase Intention)
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摘要(中) 隨著網路發展越來越蓬勃,消費者購物習慣也逐漸改變,在網路上購物的行
為也越來越普遍。可是仍然有部分消費者不願意在網路上購物,因為他們不願意
相信賣方。為了增加消費者的信任,拍賣評價系統成了很重要的角色。現實生活
的交易行為會有原諒的情況發生,其實在拍賣評價系統也有原諒的情況發生。當
不滿意的消費者給予賣家負評,賣家做了解釋及補償的行為後,消費者願意更改
評價並給予正面的評論,這就是網路拍賣上的原諒行為。
近年來,有些文章探討賣家如何補救,才能最有效回復消費者的信任,但是
目前仍未有文章探討網路拍賣之原諒行為對於潛在消費者的信任度及購買意圖
的影響。本研究中將受測者對網路拍賣的熟悉度分為兩群,觀察原諒行為在拍賣
評價系統中的呈現方式,搭配賣家回覆消費者的行為是否有交互作用。本研究之
研究方法採用實驗設計的方式,將完全沒有原諒行為的評價做為控制組,在操弄
變數上,採用高熟悉與低熟悉、原諒評價與隱藏的原諒評價、有賣家回覆與沒有
賣家回覆,呈現 2x2x2 之實驗設計。
研究結果顯示,潛在消費者對於成功服務補救行為之四種情境的信任度,與
完全正評的情境相較沒有顯著差異;對於熟悉網路拍賣之消費者的信任度,原諒
評價與隱藏的原諒行為沒有差異;對於不熟悉網路拍賣的消費者,原諒評價會使
服務失誤曝光,其風險接受度較低因此信任度會下降。進一步分析發現,熟悉網
路拍賣的消費者在原諒評價的狀況,賣家有回覆會使其信任度上升,因為更了解
網路交易的內容並願意相信賣家;對於不熟悉網路拍賣的消費者則沒有差異,因
為其寧願選擇沒有服務失誤的賣家,有沒有回覆已經沒有影響。此研究也發現信
任在原諒狀況的呈現下為購買意圖的中介變數。
摘要(英) According to developing of Internet, consumers’ shopping behaviors are moving
to online environment. But there are still many consumers don’t want to shop online
because they don’t trust online sellers enough. So reputation systems are becoming an
important tool to prevent online fraud. Although reputation systems will record
transaction history, they still couldn’t reveal all behaviors between buyers and sellers
clearly. There are forgiveness behaviors in online auction when buyers’ changed
reputations from abysmal to outstanding and gave unintentional seller good
comments.
Recently, many studies have discussed the best compensation which can restore
consumers’ trust efficiently. To our best knowledge, present study is the first one to
research the effect of forgiveness on potential consumers. Therefore, present study
used 2 (high/low familiarity) x 2 (public/invisible forgiveness) x 2 (with/without
seller’s reactions) experiment design. The results reveal that potential consumers’ trust
in four scenarios with successful service recovery has no difference in ―all positive
reputation scenario‖. For high-familiarity consumers, their trusts have no difference
between public and invisible forgiveness. Furthermore, their trusts are higher when
seller has reactions. However, for low-familiarity consumers, their trusts are lower in
public forgiveness. Furthermore, their trusts have no difference between seller’s
reactions and no reactions. Finally, present study also proved trust is a mediator
between presentation of forgiveness and purchase intention.
關鍵字(中) ★ 電子商務
★ 網路拍賣
★ 購買意圖
★ 信任
★ 原諒
★ 評價系統
★ 服務補救
關鍵字(英) ★ e-commerce
★ online auction
★ purchase intention
★ forgiveness
★ service recovery
★ trust
★ reputation system
論文目次 1. Introduction .......................................................................................................... 1
2. Conceptual Background ...................................................................................... 5
2.1 Trust ................................................................................................................. 5
2.2.1 Online Trust .......................................................................................... 5
2.2.2 Online Trust and Purchase Intention ..................................................... 5
2.2 Forgiveness ...................................................................................................... 6
2.3 Service Recovery Reputation History and Trust .............................................. 7
2.4 Familiarity with Online Shopping ................................................................... 8
2.5 Forgiveness in Reputation Text Comments ..................................................... 9
2.5.1 Public and Invisible Forgiveness .......................................................... 9
2.5.2 Text Comments with and without Seller’s Reactions ......................... 11
3. Research Method ............................................................................................... 14
3.1 Pretest ............................................................................................................. 15
3.2 Stimuli ............................................................................................................ 17
3.3 Sampling Process ........................................................................................... 20
3.4 Experiment Procedures .................................................................................. 21
3.5 Measures ........................................................................................................ 21
4. Analysis and Results .......................................................................................... 23
4.1 Subjects Demographic Data ........................................................................... 23
4.2 Reliability and Validity .................................................................................. 25
4.3 Manipulation Check ....................................................................................... 27
4.4 Hypothesis Testing ......................................................................................... 28
4.4.1 Difference between Forgiveness Behavior and Controlled Group ..... 29
4.4.2 Effects of Interaction of Familiarity, Forgiveness and Reactions on
Trust ............................................................................................................. 30
4.4.3 Trust as a Mediator between Presentation of Forgiveness and Purchase
Intention ..................................................................................................... 31
5. Discussion and Managerial Implication........................................................... 34
5.1 Conclusion ..................................................................................................... 34
5.2 Managerial Implication .................................................................................. 37
5.3 Limitations and Future Research ................................................................... 38
Reference .................................................................................................................... 39
Appendix: Pretest ....................................................................................................... 42
Appendix: Questionnaires ......................................................................................... 44
Appendix: Experiment Design .................................................................................. 53
參考文獻 39
Reference
1. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior, in Action control:
From cognition to behavior. Kuhl, J. & Beckmann, J., Editors. Springer, Heidelberg, Germany.
11-39
2. Andrews, T. & Benzing, C. (2007). The Determinants of Price in Internet Auctions of Used Cars.
Atlantic Economic Journal, 35(1), 43-57
3. Ba, S.L. & Pavlou, P.A. (2002). Evidence of the effect of trust building technology in electronic
markets: Price premiums and buyer behavior. MIS Quarterly, 26(3), 243–268.
4. 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, 51(6), 1173-1182.
5. Bolton, G.E., Katok, E., & Ockenfels, A. (2004). How effective are online reputation
mechanisms? An experimental investigation. Management Science, 50(11), 1587–1602.
6. Boon, S.D. & Sulsky, L.M. (1997). Attributions of blame and forgiveness in romantic
relationships: A policy-capturing study. Journal of Social Behavior & Personality, 12(1), 19-44.
7. Buss, A.H. (1980). Self-consciousness and social anxiety. W.H. Freeman, San Francisco.
8. Cameron, D.D. & Galloway, A. (2005). Consumer motivations and concerns in online auctions: an
exploratory study. International Journal of Consumer Studies, 29(3), 181 - 192.
9. Chang, M.K., Cheung, W. & Lai, V.S. (2005). Literature derived reference models for the
adoption of online shopping. Information & Management, 42(4), 543-559.
10. Chen, Y.H. & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management
& Data Systems, 107(1), 21-36.
11. Cheung, C.M.K., Lee, M.K.O. & Thadani, D.R. (2009). The Impact of Positive Electronic
Word-of-Mouth on Consumer Online Purchasing Decision. M.D. Lytras et al. (Eds.): WSKS 2009,
LNAI 5736, 501–510.
12. Etzel, M.J. & Silverman, B.I. (1981). A Managerial Perspective on Directions for Retail Customer
Dissatisfaction Research. Journal of Retailing, 57(3), 124-136.
13. Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory
and research. MA: Addison-Wesley.
14. Forman, C., Ghose, A., & Wiesenfeld, B. (2008). Examining the Relationship Between Reviews
and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets. Information Systems
Research, 19(3), 291-313.
15. Fudenberg, D. & Levine, D.K. (1992). Maintaining a reputation when strategies are imperfectly
observed. Review of Economic Studies, 59(3), 561-579.
16. Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28, 35-51.
17. Gefen, D., Karahanna, E. & Straub D.W. (2003). Trust and TAM in Online Shopping: An
Integrated Model. MIS Quarterly, 27(1), 51-90.
40
18. Gregg, D.G. & Scott, J.E. (2006). The role of reputation systems in reducing on-line auction fraud.
International Journal of Electronic Commerce, 10(3), 95–120.
19. Gregg, D.G. & Scott, J.E. (2008). A Typology of Complaints About Ebay Sellers.
Communications of The ACM, 51(4), 69-74
20. Gruen, T.W., Osmonbekov, T., Czaplewski, A.J. (2006). eWOM: the Impact of
Customer-to-Customer Online Know-how Exchange on Customer Value and Loyalty. Journal of
Business Research, 59(4), 449-56.
21. Kollock, P. (1999). The production of trust in online markets. Advances in Group Processes, 16,
99–123.
22. Koufaris, M. & Hampton-Sosa, W. (2004). The development of initial trust in an online company
by new customers. Information and Management, 41(1), 377–397.
23. Li, D. & Lin, Z. (2004). Negative reputation rate as the signal of risk in online
consumer-to-consumer transactions. In J. Chen (ed.), The Fourth International Conference on
Electronic Business—Shaping Business Strategy in a Networked World. Beijing: Academic
Publishers/World Publishing, 868–873
24. Mayer, R.C., Davis, J.H. & Schoorman, F.D. (1995). An integrative model of organizational trust.
Academy of Management Review, 20(3), 709-34.
25. MacInnes, I., Li, Y. & Yurcik, W. (2005). Reputation and Dispute in eBay Transactions.
International Journal of Electronic Commerce, 10(1), 27-54.
26. McCollough, M.A. & Bharadwaj, S.G. (1992), The Recovery Paradox: An Examination of
Consumer Satisfaction in Relation to Disconfirmation. Service Quality and Attribution Based
Theories, in Marketing Theory and Applications, Chris T. Allen et al. eds. Chicago: American
Marketing Association.
27. McCullough, M.E. (2001). Forgiveness who does it and how do they do it. Current Directions in
Psychological Science, 10(6), 194–197.
28. McCullough, M.E., Worthington Jr., E.L., Rachal, K.C. (1997). Interpersonal forgiving in close
relationships. Journal of Personality andSocial Psychology, 73(2), 321–336.
29. McCullough, M.E., Rachal, K.C., Sandage, S.J., Worthington Jr., E.L., Wade-Brown, S. & Hight,
T. (1998). Interpersonal forgiving in close relationships. II: Theoretical elaboration and
measurement. Journal of Personality and Social Psychology, 75, 1586–1603.
30. Pavlou, P.A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with
the technology acceptance model. International Journal of Electronic Commerce, 7(3), 101-34.
31. Pavlou, P. A.& Gefen, D. (2004). Building effective online marketplaces with institution-based
trust. Informatoin Systems Research, 15(1), 35–53.
32. Pavlou, P.A., & Dimoka, A. (2006). The nature and role of feedback text comments in online
marketplaces: Implications for trust building, price premiums, and seller differentiation.
Information Systems Research, 17(4), 392–414.
41
33. Resnick, P., Zeckhauser, R., Friedman, E., & Kuwabara, K. (2000). Reputations Systems:
Facilitating trust in Internet interactions. Communications of the ACM, 43(12), 45–48.
34. Riegelsberger, J., Sasse, M.A. & McCarthy, J. (2004). The mechanics of trust: a framework for
research and design. International Journal of Human-Computer Studies, 62(3), 381–422.
35. Snijders, C. & Zijdemann, R. (2004). Reputation and Internet auctions: eBay and beyond. Analyse
& Kritik, 26(1), 158–184.
36. Utz, S., Matzat, U. & Snijders, C. (2009). On-line Reputation Systems: The Effects of Feedback
Comments and Reactions on Building and Rebuilding Trust in On-line Auctions. International
Journal of Electronic Commerce, 13(3), 95-118.
37. Vasalou, A., Hopfensitz, A., & Pitt, J.V. (2008). In Praise of Forgiveness: Ways for Repairing
Trust Breakdowns in One-Off Online Interactions. International Journal of Human-Computer
Studies, (66), 466-480.
38. Vasalou, A., Riegelsberger, J. & Joinson, A. (2009). Application of forgiveness in social system
design. Conference on Human Factors in Computing Systems archive, Proceedings of the 27th
international conference on Human factors in computing systems, 225-228.
39. Weinberg, B.D. & Davis, L. (2005). Exploring the WOW in online-auction feedback. Journal of
Business Research, 58(11), 1609-1621.
40. Weiner B., Graham, S., Peter, O. & Zmuldlnas, M. (1991). Public Confession and Forgiveness.
Journal of Personality, 59(2), 281-312.
41. Wirtz, J. & Mattila, A.S. (2004). Consumer responses to compensation, speed of recovery and
apology after a service failure. International Journal of Service Industry Management, 15(2),
150-166.
42. EOLembrain 東方快線研究部 (2010). 東方快線調查:熟年族網購有熟穩現象
http://www.eolembrain.com.tw/Latest_View.aspx?SelectID=173
43. (Hsieh)謝淑慧 (2010). 萬事達卡國際組織公佈台灣網路購物行為調查 台灣人網路購物年資
高居亞太第二名 http://edn.gmg.tw/article/view.jsp?aid=242965&cid=6'
44. Insightxplorer (2009). 2009 年 7 月 創市際網路拍賣調查
http://www.insightxplorer.com/specialtopic/2009_7_auction.htm
指導教授 謝依靜(Yi-ching Hsieh) 審核日期 2010-7-9
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