| 研究生: |
彭思柔 |
|---|---|
| 論文名稱: |
拍賣網站上賣方評價內容對於買方知覺風險及購買意願之影響—以Yahoo!奇摩拍賣為例 |
| 指導教授: | 郭貞 |
| 學位類別: |
碩士
Master |
| 系所名稱: |
傳播學院 - 國際傳播英語碩士學位學程(IMICS) International Master's Program in International Communication Studies(IMICS) |
| 論文出版年: | 2009 |
| 畢業學年度: | 97 |
| 語文別: | 英文 |
| 論文頁數: | 111 |
| 中文關鍵詞: | 網路拍賣 、網路口碑傳播 、評價制度 、知覺風險 |
| 外文關鍵詞: | Online Auction, Word-of-Mouth, Feedback System, Perceived Risk |
| 相關次數: | 點閱:204 下載:212 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在現今這個「宅經濟」漸漸蓬勃的的年代,上網購物變成一種新興的購物
型態與休閒娛樂的管道,越來越多人選擇上網採購以免除出外購物所耗損
的時間跟精力。因此,網路拍賣開始受到許多人的歡迎,舉凡吃、穿、用
的,都可以在拍賣的世界中找到各式商品。但是,網路購物雖然方便,卻
也因為消費者無法直接接觸賣方與商品而使得糾紛事件層出不窮。因此,
多數消費者對於網路購物一直存有或多或少的知覺風險。在缺乏面對面接
觸下,網路口碑變成消費者是否購買此一商品的重要考量。而拍賣網站中
所提供的評價機制,就是一種消費者藉由口碑來了解賣方的管道。因此,
本研究試圖探討賣方的評價內容留言,對消費者購買意願與知覺風險的影
響。透過實驗法,架設兩種情境。情境A讓受試者接收正面評價內容,而情
境B則讓受試者觀看負面評價內容。本研究對象皆為有網路購物經驗的大學
生與研究生,共收集了126份有效樣本,根據研究結果分析,所得結論有三:
一、賣方良好評價留言會減少買方的知覺風險,而極差評價留言會增加買
方知覺風險的程度。
二、知覺風險越高,購買意願則越低。
三、賣方的評價留言對買方的購買意願有顯著影響。
Many consumers often hesitate to buy product on-line because of the perceived
risk of losing money and the feeling of uncertainty about the credibility of the
sellers. Therefore, many auction sites have built feedback systems in order to
provide consumers a tool of reference when engaging in online shopping
activities. This study conducts an experiment in order to investigate how
feedback comments may influence consumers’ level of perceived risk and their
purchase intention. The research mainly focuses on two different patterns of
feedback comments (Outstanding comments and abysmal comments) in an
online auction market, to see if these comments affect consumers’ level of
perceived risk and their purchase intention. The research subjects are college
and graduate school students who have previous online shopping experiences. In
total, this study collects 126 validated samples. According to the research results,
there are three main conclusions:
1. Seller’s outstanding feedback comments will decrease buyer’s perceived risk
in online shopping; on the contrary, seller’s abysmal feedback comments will
increase buyer’s perceived risk.
2. If the buyer has lower perceived risk, the purchase intention will be higher.
3. Seller’ feedback comments will influence buyer’s purchase intention.
1. Introduction............................................................................................................ 1
1.1 Research Background and Motivations ............................................................... 1
1.2 Research Objectives ........................................................................................... 3
1.3 Research Target .................................................................................................. 3
1.4 Research Flowchart .................................................................................................. 4
2. Literature Review................................................................................................... 6
2.1 Online Auctions........................................................................................................ 6
2.1.1 Auction Type ................................................................................................. 8
2.1.2 Traits of Online Auction................................................................................11
2.1.3 The Development of Yahoo! Auction ........................................................... 15
2.2 Word-Of-Mouth Communication and the Feedback System ................................... 18
2.2.1 Electronic Word-Of-Mouth Communication ................................................ 20
2.2.2 Feedback System of Online Auction ............................................................ 22
2.2.3 Effects and Patterns of Feedback System..................................................... 27
2.3 Perceived Risk and Purchase Intention ................................................................... 33
2.3.1 Relationship between E-auction Familiarity and Feedback Reference .......... 36
2.3.2 Relationship between Feedback and Perceived Risk: ................................... 37
2.3.3 Relationship between Perceived Risk and Purchase Intention: ..................... 40
2.3.4 Relationship between Feedback and Purchase Intention............................... 42
3. Research Model and Hypothesis...........................................................................45
3.1 Research Model...................................................................................................... 45
3.2 Research Hypotheses.............................................................................................. 47
3.3 Operational Research Constructs............................................................................ 48
4. Research Design...................................................................................................50
4.1 Control Variables and Design Factors in the experiment......................................... 50
4.2 Sampling Process ................................................................................................... 54
4.3 Apparatus............................................................................................................... 54
4.4 Experiment Procedures........................................................................................... 55
5. Data Analysis ...................................................................................................56
5.1 Questionnaire Design and Reliability Test .............................................................. 56
5.1.1 Pretest of the Questionnaire: ........................................................................ 57
5.1.2 Content Validity and Questionnaire Reliability Test .................................... 57
5.2 Data Analysis Procedure ........................................................................................ 60
5.3 Subjects Demographic Data ................................................................................... 60
5.4 Correlation Analysis of Perceived Risk .................................................................. 64
5.5 The Relationship between Buyer’s Familiarity of E-Auctions and Feedback
Attitude....................................................................................................................... 64
5.6 The Relationship between Seller’s Feedback Comments and Buyer’s Perceived
Risk ............................................................................................................................. 66
5.7 The Relationship between Buyer’s Perceived Risk and Purchase Intention............. 70
5.8 The Relationship between Seller’s Feedback Comments and Buyer’s Purchase
Intention...................................................................................................................... 72
5.9 The Relationship between Demographic Variables and Perceived Risk .................. 73
6. Conclusions and Suggestions............................................................................75
6.1 Conclusions............................................................................................................ 75
6.2 Limitations and Future Development...................................................................... 81
6.2.1 Research Limitations ................................................................................... 81
6.2.2 Suggestions for Future Research.................................................................. 81
References ...............................................................................................................82
English Reference: ....................................................................................................... 82
Chinese reference:........................................................................................................ 89
APPENDIX 1 ..........................................................................................................90
FORMAL QUESTIONNAIRE..................................................................................... 90
QUESTIONNAIRE A..............................................................................................90
APPENDIX 2 ........................................................................................................101
FORMAL QUESTIONNAIRE................................................................................... 101
QUESTIONNAIRE B............................................................................................101
LIST OF TABLES
Table 4.1 Variables and Measures ........................................................................... 51
Table 5.1: Factor Loadings and Reliabilities of Perceived Risk Scale ...................... 58
Table 5.2 Demographic Data of This Research ........................................................ 61
Table 5.3 Correlation Analysis of Perceived Risk.....................................................64
Table 5.4 Test of the Relationship Between Online Auction Familarity and Feedback
Attitude....................................................................................................................65
Table 5.5 Test of the Relationship between 1st Perceived Risk and 2nd Perceived Risk66
Table 5.6 Test of the Mean and Standard deviation of 1st Perceived Risk and 2nd Perceived
Risk ......................................................................................................................... 67
Table 5.7 The Relationship between 2nd Perceived Risk and Seller’s Feedback Type (Sum)
............................................................................................................................... 67
Table 5.8 Test of the Mean and Standard Deviation of the Five Aspects for 1st Perceived
Risk and 2nd Perceived Risk of Questionnaire A ....................................................... 68
Table 5.9 Test of the Mean and Standard Deviation of the Five Aspects for 1st Perceived
Risk and 2nd Perceived Risk of Questionnaire B ....................................................... 69
Table 5.10 The relationship between 2nd Perceived Risk and Purchase Intention for
Questionnaire A....................................................................................................... 70
Table 5.11 The relationship between 2nd Perceived Risk and Purchase Intention for
Questionnaire B....................................................................................................... 71
Table 5-12 The Relationship between 2nd Perceived Risk and Purchase Intention (Sum) 72
Table 5.13 Test of the Mean and Standard Deviation of Purchase Intention for Both
Questionnaire A and B............................................................................................. 73
Table 5.14 The Relationship between Feedback Type and Purchase Intention (Sum)73
Table 5.15 The Mean and Standard Deviation of Purchase Intention....................... 74
Table 6.1 Testified Result of Research Hypotheses................................................... 76
LIST OF FIGURES
Figure 1-1 Research Flow Chart ................................................................................ 5
Figure.2-1 The growing trend of the product amount in Yahoo! Auction ................. 17
Figure 3-1 Online Auction Feedback Comments Model .......................................... 46
Figure 5.1 Daily Use of Net..................................................................................... 63
Figure 5.2 Times of Transacting in Recent Six Months............................................ 63
Figure 5.3 The Most Popular Items in E-Auctions ................................................... 63
【1】Andrews, T. and C. Benzing (2007). The determinants of price in internet auctions of
used cars. Atlantic Economic Journal 35(1): 43-57.
【2】Arndt, Johan A., (1967) Role of Product-Related Conversations in the Diffusion of a
New Product. Journal of Marketing Research, Vol.4, August, pp.291-295.
【3】Ba, Pavlou (2002). Trustworthiness as a source of competitive advantage in online
auction markets. Academy of Management Proceedings, Academy of Management.
【4】Bauer, R. A., (1960) Consumer behavior as risk taking, dynamic marketing for a
changing world, Chicago. American Marketing Association, pp. 389-393.
【5】Beltramini, R. F., (1989), Professional services referrals: A model of information
acquisition. Journal of Services Marketing, 3(1), 35-43
【6】Bolton, G., Katok, E., & Ockenfels, A. (2004). How effective are electronic reputation
mechanisms? an experimental investigation. Management Science, 50(11), 1587-1602.
Retrieved April 21, 2009, doi:10.1287/mnsc.1030.0199
【7】Bosnjak, M., D. Obermeier, et al. (2006). Predicting and explaining the propensity to
bid in online auctions: a comparison of two action-theoretical models." Journal of
Consumer Behaviour 5(2): 102-116.
【8】Brown, J. and J. Morgan (2006). Reputation in online auctions: the market for trust.
California Management Review 49(1): 61-81.
【9】Cameron, D. D. and A. Galloway (2005). Consumer motivations and concerns in
online auctions: an exploratory study. International Journal of Consumer Studies 29(3): 181-192.
【10】Cases, A. (2002, October). Perceived risk and risk-reduction strategies in Internet
shopping. International Review of Retail, Distribution & Consumer Research, 12(4),
375-394. Retrieved April 21, 2009
【11】Cassady, Ralph., Jr. (1967). Auctions and Auctioneering. Berkeley: Univ. of
California Press.
【12】Chan, T. Y., V. Kadiyali, et al. (2007). Willingness to pay and competition in online
auctions. Journal of Marketing Research (JMR) 44(2): 324-333.
【13】Christiansen, T. and S. S. Tax (2000). Measuring word of mouth: the questions of
who and when? Journal of Marketing Communications 6(3): 185-199.
【14】Cowart, K. O. and R. E. Goldsmith (2007). The influence of consumer
decision-making styles on online apparel consumption by college students.
International Journal of Consumer Studies 31(6): 639-647.
【15】Cox, D. F. and S. U. Rich (1964): Perceived risk and consumer decision making-The
case of telephone shopping, Journal of Marketing Research, Vol. 1, No. 4, pp.32-39
【16】Dellarocas, C. (2003). The digitization of word of mouth: promise and challenges of
online feedback mechanisms. Management Science 49(10): 1407-1424.
【17】Dewan, S. and V. Hsu (2004). Adverse selection in electronic markets: evidence from
online stampauctions. Journal of Industrial Economics 52(4): 497-516.
【18】Dodds, Monroe and D. Grewal (1991). Effect of price, brands and store information
on buyers’ product evaluation. Journal of Marketing Research 28(Aug.), pp.307-319
【19】Eggert, A. (2006, July). Intangibility and perceived risk in online environments.
Journal of Marketing Management, 22(5/6), 553-572. Retrieved April 21, 2009,
from Business Source Complete database.
【20】Forsythe, S. M. and B. Shi, (2003) Consumer patronage and risk perceptions in internet
shopping, Journal of Business Research 56(11), p.867-875.
【21】Gelb, Betsy D and Suresh Sundaram, (2002) Adapting to word of mouse. Business
Horizons Jul/Aug, Vol.45, Iss 4, pp.21-25.
【22】Grabner-Krauter, S. and Kaluscha, E. A. (2003), Empirical research in on-line trust: A
review and critical assessment, International Journal of Human-Computer Studies, 58,
pp. 783-812.
【23】Gregg, D. G. and J. E. Scott (2006). The role of reputation systems in reducing
on-line auction fraud. International Journal of Electronic Commerce 10(3): 95-120.
【24】Ho, J. K. (2004). Topological analysis of online auction markets. Electronic Markets
14(3): 202-213.
【25】Houser, D. and J. Wooders (2006). Reputation in auctions: theory, and evidence from
eBay. Journal of Economics &Management Strategy 15(2): 353-369.
【26】Huang, W., Schrank, H., & Dubinsky, A. (2004, October). Effect of brand name on
consumers' risk perceptions of online shopping. Journal of Consumer Behaviour,
4(1), 40-50. Retrieved April 21, 2009, from Business Source Complete database.
【27】Hui, T.-K. and D. Wan (2007). Factors affecting Internet shopping behavior in
Singapore: gender and educational issues. International Journal of Consumer
Studies. 31: 310-316.
【28】Ige, O. (2004). Electronic shopping: young people as consumers. International
Journal of Consumer Studies 28(4): 412-427.
【29】Jarvenpaa, S. L. and P. A. Todd (1996): Consumer reactions to electronic shopping on
the World Wide Web. International Journal of Electronic Commerce, Vol. 1, No. 2,
pp.59-88
【30】Junghyun, K. and R. Larose (2002). What makes e-Commerce websites sticky? :
interactivity and impulsivity in online browsing behavior. Conference Papers.
International Communication Association.
【31】Klein,Stephan & O’Keefe,Robert M.(1999). The Impact of the web on auctions: some
empirical evidence and theoretical considerations. International Journal of Electronic
Commerce, Spring, Vol. 3, 7-20.
【32】Korgaonkar, P. K. and L. D. Wolin (1999): A multivariate analysis of Web usage.
Journal of Advertising Research, 39 (2), pp.53-68
【33】Kotler p., Ang. S.H, Leong, S.M&Tan, C.T(1999).Marketing Management 2th: an
Asian perspective. prentice-Hall, Inc.pp209, 213
【34】Ku, Gillian, Deepak Malhotra, and J. Keith Murnighan, (2005) Towards a competitive
arousal model of decision making: a study of auction fever in live and internet
auctions. Organizational Behavior and Human Decision Processes, 96(2), pp. 89-103.
【35】Ku, G. and D. Malhotra (2001). The on-line auction phenomenon: growth, strategies,
promise, and problems. Negotiation Journal 17(4): 349-361.
【36】Kwon, O. B., C.-R. Kim, et al. (2002). Impact of website information design factors
on consumer ratings of web-based auction sites. Behavior & Information Technology
21(6): 387-402.
【37】Lin, W. (2008, January). Factors influencing online and post-purchase behavior and
construction of relevant Models. Journal of International Consumer Marketing,
20(3/4), 23-38. Retrieved April 21, 2009
【38】Livingston, J. A. (2005). How valuable is a good reputation? a sample selection
model of internet auctions. Review of Economics & Statistics 87(3): 453-465.
【39】Lucking-Reiley, D. (2000). Auctions on the Internet: What’s being auctioned and how? Journal of Industrial Economics 48(3): 227.
【40】Lucking-Reiley, D., D. Bryan. (2007). Pennies from eBay: the determinants of price
in online auctions. Journal of Industrial Economics 55(2): 223-233.
【41】MacInnes, I. (2005). Causes of disputes in online auctions. Electronic Markets 15(2):
146-157.
【42】McColl-Kennedy,Janet R. and Richard E. Fetter,Jr, (2001) An empirical examination of
the involvement to external search relationship in search relationship in services
marketing, Journal of Services Marketing,15(2),pp.82-98,
【43】Nunnally, J. C. (1978). Psychometric theory. (2nd ed.). New York: McGraw-Hill
Book Company.
【44】Ottaway, T. A., C. L. Bruneau, et al. (2003). The impact of auction item image and
buyer/ seller feedback rating on electronic auctions. Journal of Computer
Information Systems 43(3): 56.
【45】Pavlou, P. A. and A. Dimoka (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.
【46】Peter, J. P., and Tarpey, L.Z. Sr. (1975). A comparative analysis of three consumer
decision strategies. Journal of Consumer Research, 2, 29-37.
【47】Pinker, E. J., A. Seidmann, et al. (2003). Managing online auctions: Current business
and research issues. Management Science 49(11): 1457-1484.
【48】Pires, G., Stanton, J., & Eckford, A. (2004, December). Influences on the perceived
risk of purchasing online. Journal of Consumer Behaviour, 4(2), 118-131. Retrieved
April 21, 2009, from Business Source Complete database.
【49】Rafaeli, S. and A. Noy (2005). Social presence: Influence on bidders in internet auctions. Electronic Markets 15(2): 158-175.
【50】Resnick, P., Zeckhauser, R., Friedman, E., and Kuwabara, K. (2000) Reputation
systems: facilitating trust in internet interactions, Communication of the ACM (43:12), ,
pp.45-48.
【51】Rietjens, B. (2006). Trust and reputation on eBay: Towards a legal framework for
feedback intermediaries. Information & Communications Technology Law 15(1):
55-78.
【52】Rob, R. and A. Fishman (2005). Is bigger better? Customer base expansion through
Word-of-Mouth reputation. Journal of Political Economy 113(5): 1146-1162.
【53】Roselius, T.(1971). Consumer rankings of risk reduction methods. Journal of
Marketing, (35)(Jan), pp. 56-61.
【54】Sampath, K., C. Saygin, et al. (2006). Impact of reputation information sharing in an
auction-based job allocation model for small and medium-sized enterprises.
International Journal of Production Research 44(9): 1777-1798.
【55】Sherif, M. and H. Cantril, (1947). The psychology of ego involvements, social
attitudes and identifications”, New York: Wile.
【56】Soopramanien, D., Fildes, R., & Robertson, A. (2007, October 10). Consumer
decision making, E-commerce and perceived risks. Applied Economics, 39(17),
2159-2166.
【57】Standifird, S. S. (2002). Online auctions and the importance of reputation type.
Electronic Markets 12(1): 58-62.
【58】Stern, B. B. and M. R. Stafford (2006). Individual and social determinants of winning
bids in online auctions. Journal of Consumer Behaviour 5(1): 43-55.
【59】Sun, T., S. Youn, et al. (2006). Online Word-of-Mouth (or Mouse): An exploration of its antecedents and consequences. Journal of Computer-Mediated Communication
11(4): 1104-1127.
【60】Thorsten, H.-T., P. G. Kevin, et al. (2004) Electronic word-of-mouth via
consumer-opinion platforms: What motivates consumers to articulate themselves
on the Internet? Journal of Interactive Marketing 18(1): 38.
【61】Tunca, T. I. and S. A. Zenios (2006). Supply auctions and relational contracts for
procurement. Manufacturing & Service Operations Management 8(1): 43-67.
【62】Vishwanath, A. (2004). An empirical investigation into the use of heuristics and
information cues by bidders in online auctions. Electronic Markets 14(3): 178-185.
【63】Xiaorui, H., L. Zhangxi, (2004). Hope or hype: On the viability of escrow services as
trusted third parties in online auction environments. Information Systems Research
15(3): 236-249.
【64】Yongseog, K. (2005). The effects of buyer and product traits with seller reputation on
price premiums in E-auction. Journal of Computer Information Systems 46(1):
79-91.
【65】Zaichkowsky, J. L. (1985). Measuring the involvement construct. Journal of Consumer
Research, 12, 341-352.
Chinese reference:
【1】Joseph T. Sinclair著鄭新嘉、陳守煒譯 (2000)。「eBay 網路拍賣的飛天法寶」。
臺北市:聯經出版社。
【2】Keith F. Punch著林世華等譯 (2005)。「社會科學硏究法,量化與質化取向」。臺北
市:心理出版社。
【3】洪芳芷(2000)。「線上拍賣網站市場分析與經營策略之研究」。國立台灣大學資
訊管理學系碩士論文,台北市。
【4】周書華(2004)。「拍賣仲介者經營拍賣網站之關鍵成功因素—基於使用者觀點」。
私立義守大學資訊管理研究所碩士論文,高雄縣。
【5】陳科蒼(2007)。「線上拍賣市場賣家選擇影響買家出價意願分析-以Yahoo!奇摩拍
賣為例」。國立東華大學全球運籌管理研究所碩士論文,花蓮縣。
【6】陳歷鋒(1999)。「網際網路拍賣機制之初探研究」,國立臺灣大學商學研究
所碩士論文,台北市。