系統識別號 U0026-0308201212334600
論文名稱(中文) 探討影響3C二手商品線上拍賣決策因素─以台灣Yahoo!奇摩拍賣平台為例
論文名稱(英文) A Study of Exploring the Impact Factors of Purchasing and Selling Online 3C SHPs
校院名稱 成功大學
系所名稱(中) 資訊管理研究所
系所名稱(英) Institute of Information Management
學年度 100
學期 2
出版年 101
研究生(中文) 潘星宇
研究生(英文) Hsing-Yu Pan
學號 r76991054
學位類別 碩士
語文別 英文
論文頁數 107頁
口試委員 指導教授-謝佩璇
中文關鍵字 線上拍賣  二手商品  雙歷程理論 
英文關鍵字 Online auction  Second-Hand Products (SHPs)  Dual-Process Theory 
中文摘要 網際網路興起,人們可以透過網路傳遞訊息、聯絡感情、甚至是物品訂購與賣賣,不僅能夠獲得大量的商品資訊,更能夠自行扮演賣家,將過時或者無用的商品出售,達到二手商品剩餘價值再利用的目的。但因為二手商品的獨有特色,在消費者心中往往是屬於次一級的選擇,卻仍是網路拍賣平台販賣與銷售的商品主要來源之一。過往研究對於線上拍賣平台的研究主要著重於買賣雙方的定價、競價策略及信任度建立等,而對於二手市場的研究主要著重於實體市場,相對於透過線上拍賣平台消費者購買或出售二手商品的相關影響因素甚少著墨。因此,本研究目的在探討消費者(買家與賣家)購買與販賣二手商品的意願以及實際行動的相關影響因素。本研究先進行文件分析,從Yahoo!奇摩拍賣蒐集得到的拍賣交易資料,並且獲得成功發生二手商品交易行為的買家與買家資料,接著發放本研究已建立信效度所設計的調查問卷,以獲得消費者的買賣決策影響因素,其中包括:消費意願、實際消費行為。
英文摘要 Due to the development of the Internet, people can easily transfer messages, keep contacts with their friends, and order products online. They can even conduct online transactions on the Internet. Through the Internet, people are also able to get a lot of product information, and play alternative roles other than buyers, but sellers. They can resell the products which are out of date or useless but having residual value to achieve certain purposes, such as reducing financial constraint. To some buyers, the SHPs (SHPs) do have some unique characteristics that attract their purchasing intention. The original owners of the SHPs can then effectively complete a transaction on an online auction website. They may be able to offer more SHPs on the website to start managing their auctioning business. Prior studies have explored the topics related to SHPs but in the real marketplace; while, the study topics related to online auction more focus on pricing strategies, bidding strategies, trust and loyalty building. By reviewing the present literature, there is no study carefully discussing why SHPs can be sold or purchased on online auction websites. Therefore, the purpose of this study is to respectively explore the impact factors of purchasing and selling SHPs for those online SHP buyers and sellers, and further explore their actual behaviors. Based on the literature, this study establishes two research models on the basis of Dual-Process Theory respectively for SHP buyers and sellers. This study also proposes two sets of hypotheses for them. Then, this study conducts document analysis to collect the actual auctioning data from Taiwan’s Yahoo! auction website in order to obtain the contact information of the buyers and the sellers whom have ever truly completed at least one transaction on the website. Next, this study develops a questionnaire which has established reliability and validity before distributing it to the Yahoo! auction buyers and sellers. After receiving sufficient number of valid responses from them, this study starts examining the research models respectively for SHP buyers and sellers and verifying the hypotheses respectively proposed for them. The document analysis results are combined with the analysis results of the questionnaire responses.
In this study, document analysis results show that the market of online SHP auction is still active. And it also proves that Dual-Process Theory to explore the impact factors (i.e., informal and normative factors) affecting consumers’ intention and their later behavior to buy/sell SHPs on auction website. Among them, the brand image (function-oriented) of information influence is the main impact factor to influence buyers’ purchase intention, which shows that buyers focus on the level of usability of the SHPs. Other impact factors which are information influence (e.g., online trust, product condition, environmental awareness, reference price and online Q&A service) also have positive and significant impact on buyers’ purchase intention. The reference group is the major impact factor of the normative influences to buyers’ purchasing intention; however, the brand image (symbolic-oriented) has no significant influence, which shows that buyers do not regard themselves to buy SHPs in order to pursue the brand products. In addition, for the sellers, the environmental awareness which is the information influence is the main impact factor to influence sellers’ sell intention; other impact factors are reference price and brand image (function-oriented). However, product conditions had no significant influence. It is because of sellers only considering the residual value of SHPs. The reference group is also the primary impact factor of the normative influences to sellers’ selling intention, and the other impact factor is online word of mouth. According to the above results, this study finally proposes more discussions and concrete suggestions for online auction buyers and sellers, especially for individual sellers.
論文目次 Chapter 1 Introduction 1
Section 1-1 Research Background 3
Section 1-2 Research Motivation 5
Section 1-3 Research Purposes and Questions 8
Section 1-4 Research Process 9
Section 1-5 Research Scope and Limitations 10
Chapter 2 Literature Review 13
Section 2-1 Online auction 13
2.1.1 The origin of the online auction 13
2.1.2 Online auction rules 17
2.1.3 Definition and characteristics of the online auction 20
Section 2-2 SHP market 23
2.2.1 The definition and characteristics of SHPs 23
2.2.2 SHPs and consumer behavior 24
2.2.3 SHPs, consumer types, and characteristics 28
Section 2-3 Dual Process Theory 31
2.3.1 Definition of Dual Process Theory 33
2.3.2 Information influence 34
2.3.3 Normative influence 41
Section 2-4 Summaries 44
Chapter 3 Research Method 47
Section 3-1 Research Participants 48
Section 3-2 Research Models 48
Section 3-3 Questionnaire design 51
Section 3-4 Data collection and analysis methods 56
3.4.1 Document analysis 57
3.4.2 Partial Least Squares 58
Section 3-5 Pilot study results 63
Chapter 4 Research Results 66
Section 4-1 Document analysis results 66
Section 4-2 Questionnaire respondents’ demographics 71
Section 4-3 Reliability and validity of valid questionnaire responses 76
Section 4-3 Structural model analysis 82
Chapter 5 Conclusions and Discussions 87
Section 5-1 Second-hand markets 87
Section 5-2 Buyers’ purchase intentions and actual behaviors 88
Section 5-3 Sellers’ selling intentions and behavioral model 89
Section 5-4 Research contributions 91
References 94
Appendix 101
參考文獻 Aaker, D. A. (1991). Managing brand equity. . New York: Free Press.
Agenda for Change - Chapter 4: Changing Consumption Patterns. from http://www.iisd.org/rio+5/agenda/chp04.htm
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior , Prentice-Hall.
Akula, V., & Menascé, D. A. (2007). Two-level workload characterization of online auctions. Electronic Commerce Research and Applications, 6(2), 192-208.
Alba, J., Lynch, J., Barton, W., Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997). Interactive Home Shopping: Consumer, Retailer, and Manufacturer Incentives to Participate in Electronic Marketplaces. The Journal of Marketing, 61(3), 38-53.
Anwar, S., McMillan, R., & Zheng, M. (2006). Bidding behavior in competing auctions: Evidence from eBay. European Economic Review, 50(2), 307-322.
Ariely, D., & Simonson, I. (2003). Buying, Bidding, Playing, or Competing? Value Assessment and Decision Dynamics in Online Auctions. Journal of Consumer Psychology, 13(1/2), 113-123.
Bapna, R., Goes, P., & Gupta, A. (2001). Insights and analyses of online auctions. Commun. ACM, 44(11), 42-50.
Beam, C., & Segev, A. (1998). Auctions on the Internet: a field study. working paper, Haas School of Management, University of California - Berkeley.
Biswas, A., & Blair, E. A. (1991). Contextual Effects of Reference Prices in Retail Advertisements. The Journal of Marketing, 55(3), 1-12.
Bearden, W. O., & Etzel, M. J. (1982). Reference Group Influence on Product and Brand Purchase Decisions. Journal of Consumer Research, 9(2), 183-194.
Bowers, J. W. (1970). Methods in research in communication. Boston: Houghton Mifflin. pp.291-314.
Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. . Journal of Consumer Research, 2(3), 206-215.
Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processin within and beyond the persuasion context. J. S. Uleman & J. A. Bargh. (Eds.), Unintended thought, 212-252.
Chang, M. K. (1998). Predicting unethical behavior: a comparison of the theory of reasoned action and the theory of planned behavior. Journal of business ethics, 17(16), 1825-1834.
Chen, H., Sia, C. L., Luo, C., & Cheung, M. Y. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9-38.
Chen, S., & Chaiken, S. (1999). The heuristic-systematic model in its broader context. In C. Shelly & Y. Trope (Eds.), Dual-process theories in social psychology (pp. 73-96). New York: Guilford Press.
Cho, S.E. (2010). Perceived risks and customer needs of geographical accessibility in electronic commerce. Electronic Commerce Research and Applications, 9(6), 495-506.
Cramton, P. (1998). Applications of auction theory: ascending auctions. European Economic Review, 42, 745-756.
Damme, I. V., & Vermoesen, R. (2009). Second-hand consumption as a way of life: public auctions in the surroundings of Alost in the late eighteenth century. Continuity and Change, 24(02), pp.275-293.
Dishawa;, M. T., & Strong, D. M. (1999). Extending the technology acceptance model with task–technology fit constructs. Information & Management, 36(1), 9-21.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 982-1003.
Duan, W. (2010). Analyzing the impact of intermediaries in electronic markets: an empirical investigation of online consumer-to-consumer (C2C) auctions. Electronic Markets, 20(2), 85-93.
Edieal J. P., Abraham S., & Vakrat, Y. (2003). Managing Online Auctions: Current Business and Research Issues. Management Science, Vol. 49, No. 11(Special Issue on E-Business and Management Science (Nov., 2003), 1457-1484.
El-Tawy, N., & Tollington, T. (2008). The recognition and measurement of brand assets: an exploration of the accounting/marketing interface. Journal of Marketing Management, 24(7/8), 711-731.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research: Reading, MA: Addison-Wesley. pp.53-89.
Fogg, B. J. (2003). Persuasive Technology: Using Computers to Change What We Think and Do. San Francisco: Morgan Kaufmann.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39-50.
Fournier, S. (1998), Consumers and their brands: developing relationship theory in consumer research, Journal of Consumer Research, 24(4), pp. 343-73.
Gefen, D., & Straub, D. W. (1997). Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model. MIS Quarterly, 21(4), 389-400.
Grabner-Kräuter, S., & Kaluscha, E. A. (2003). Empirical research in on-line trust: a review and critical assessment. International Journal of Human-Computer Studies, 58(6), 783-812.
Gregson, N., & Crewe, L. (2003). Second-hand cultures: Oxford : Berg.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th Edition). Upper Saddle River: NJ :Prentice Hall.
Harrison M. D., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. Journal of Strategic Information Systems, 11(Elsevier Science), 297-323.
Hawkins, D. I., Best, R. J., & Coney., K. A. (2004). Consumer behavior :building marketing strategy 9th ed. Boston, Mass.: McGraw-Hill.
Hennig T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumer-opinion websites: What motivates consumers to articulate Journal of Interactive Marketing (John Wiley & Sons), 18(1), 38-52.
Hennig T., Walsh, G., & Walsh, G. (2003). Electronic Word-of-Mouth: Motives for and Consequences of Reading Customer Articulations on the Internet. International Journal of Electronic Commerce, 8, 51-74.
Hou, J., & Blodgett, J. (2010). Market structure and quality uncertainty: a theoretical framework for online auction research. Electronic Markets, 20(1), 21-32.
Hsieh, P. H., & Ma, F. M. (2012). Exploring auction performance index of individual and corporate sellers on Taiwan’s Yahoo Kimo website. Journal of Business and Policy Research.
Huang, C. L., & Kung, F.-H. (2010). Drivers of environmental disclosure and stakeholder expectation: evidence from Taiwan. Journal of business ethics, 96(3), 435-451.
Huang, Y. C., Wu, Y. C. J., Wang, Y. C., & Boulanger, N. C. (2011). Decision making in online auctions. Management Decision, 49(5), 784-800.
Hsu, C. L., Wu, C. C., Chen, M. C., & Chang, K. C. (2012). Formation of E-satisfaction and E-loyalty: An Extension of Technology Acceptance Model with Perceived Quality and Flow Experience. Journal of Quality, 19(1), 61-83.
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of management information systems, 91-112.
Janis, I. L., & Hovland, C. I. (1959). An overview of persuasibility research. In C. I. Hovland and I. L. Janis (eds.). Personality and Persuasability. New Haven: Yale University Press, 1-26.
Kandela, E., Rindib, B., & Bosettic, L. (2011). The effect of a closing call auction on market quality and trading strategies. Journal of Financial Intermediation, 21(1), 23-49.
Kannan, V. R., and Tan, K. C. (2005). Just in time, total quality management, and supplychain management: understanding their nkages and impact n business perfrmance Omega, 33(2), 153-162.
Kaplan, M. F., & Miller, C. E. (1987). Group decision making and normative versus informational influence: Effects of type of issue and assigned decision rule. . Journal of Personality and Social Psychology, 53, 2, 306-313.
Kassim, N. M., & Abdullah, N. A. (2008). Customer Loyalty in e‐Commerce Settings: An Empirical Study. Electronic Markets, 18(3), 275-290.
Kim, C. K., Lavack, A. M., & Smith, M. (2001). Consumer evaluation of vertical brand extensions and core brands. Journal of Business Research, 52(3), 211-222.
Klein, S. (1997). Introduction to electronic auctions. Electronic Markets, 7(4), 3-6.
Klemperer, P. e. (2000). The Economic Theory of Auctions. 1 & 2.
Knapp, D. E. (2001). The Brand Mindset.
Kotler;, P., & Keller;, K. L. (2006). Marketing management 12th ed. Upper Saddle River, NJ Pearson/Prentice Hall.
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information systems research, 13(2), 205-223.
Krishna, V. (2002). Auction theory. Academic Press, New York.
Lake, M. (2011). An exploratory study of culture and cyber harassment. International Journal of Management and Decision Making, 11(5), 387-396.
Lee, M. Y., Knight, D., & Kim, Y. K. (2008). Brand analysis of a US global brand in comparison with domestic brands in Mexico, Korea, and Japan. Journal of Product & Brand Management, 17(3).
Lee, Y. H., Hsieh, Y. C., & Hsu, C. N. (2011). Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees’ Intentions to use E-Learning Systems. Supporting Organizations, 14(4), 124-137
Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
Levinthal, D. A., & Purohit, D. (1989). Durable Productsand Product Obsolescence. Marketing Science, 8(1), 35-56.
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114-121.
Lucking Reiley, D. (2000a). Auctions on the Internet: What's Being Auctioned, and How? The Journal of Industrial Economics, 48(3), 227-252.
Lucking Reiley, D. (2000b). Auctions on the internet: What's being auctioned, and how? Journal of Industrial Economics, , 48(3), 227-252.
Madden, T. J., Ellen, P. S., and Ajzen, I. (1992). A comparison of the theory of planned behavior and the theory of reasoned action. Personality and social psychology Bulletin, 18(1), pp.3-9.
Mazumdar, T., Raj, S. P., & Sinha, I. (2005). Reference Price Research: Review and Propositions. The Journal of Marketing, 69(4), 84-102.
McFerran, B., Darren W. Dahl, W., Gavan J. Fitzsimons., & Andrea C. Morales. (2010). I’ll Have What She’s Having: Effects of Social Influence and Body Type on the Food Choices of Others. Journal of Consumer Research, 36(6), 915-929.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a Web site: A trust building model. . Journal of Strategic Information Systems(11), 297–323.
Melnika, M. I., Richardsonb, P., & Tompkinsb, D. (2011). How Seller and Product Characteristics Impact Promotion on eBay. Journal of Promotion Management, 17(4), 426-437.
Meng, J. G. (2011). Understanding cultural influence on price perception: empirical insights from a SEM application. Journal of Product & Brand Management, 20(7).
Morton D. & Harold B. G. (1925). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629-636.
Muniz, A.M. and O’Guinn, T. (2001), Brand community, Journal of Consumer Research, 27, pp. 412-32.
Netessine. (2006). Dynamic pricing of inventory/capacity with infrequent price changes. European Journal of Operational Research, 174.
Nissanoff, D. (2007). FutureShop: How the new auction culture will revolutionize the way we buy, sell, and get the things we really want. London: Penguin Press HC. [林錦慧譯(2007)。二手貨與新商人。臺北市:商智文化出版社。]
Ockenfels, A., Reiley, D., & Sadrieh, A. (2006). Online auctions. In T. J. Hendershott (Ed.). Economics and information systems, 571-628.
Onur, I. (2010). Bidding behavior in dynamic auction settings: Anempirical analysis of eBay. Electronic Commerce Research and Applications, 9(2), 103-110.
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), 101-134.
Petruzzellis, L. (2010). Mobile phone choice: technology versus marketing. The brand effect in the Italian market. European Journal of Marketing, 44(5), 610-634.
Petty, R. E., Cacioppo, J. T., & Goldman. (1981). Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology, 41, 847-855.
Shen, C. C., Chiou, J. S., & Kuo, B. S. (2011). Remedies for information asymmetry in online transaction: An investigation into the impact of web page signals on auction outcome. Internet Research, 21(2), 154-170.
Thoma, V. M. (2003). Demand and dematerialization impact of second–hand markets. Journal of Industrial Ecology, 7(2), 65-78.
Torsten Bornemann and Christian Homburg. (2011). Psychological Distance and the Dual Role of Price. Journal of Consumer Research, 38(3), 490-504.
Turban, E., Lee, J. K., King, D., Liang, T. P., & Turban, D. (2010). Electronic commerce: A managerial perspective 2010(6th ed.).
Ursery, Frederick. (2005). Ebay fights e-waste. Waste age, 36, 6-8.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & Management, 41(6), 747-762.
Vragov, R. (2010). Operational efficiency of decentralized Internet auction mechanisms. Electronic Commerce Research and Applications, 9(2), 111-125.
Wang, K., Wang, E. T. G., & Tai, C. F. (2002). A study of online auction sites in Taiwan: product, auction rule, and trading type. International Journal of Information Management, 22(2), 127-142.
Williams, C. C., & Windebank, J. (2000). Modes of productsacquisition in deprived neighbourhoods. The International Review of Retail, Distribution and Consumer Research, 10(1), 73-94.
Wold, H. (1975). Path models with latent variables: The NIPALS approach. Blalock H. M., Aganbegian A., Borodkin F. M., Boudon R. & Capecchi V. (eds), Quantitative sociology: International perspectives on mathematival and statistical modeling. (pp. 307-357): New York: Academic.
Wong, K. K. (2001). Taiwan's environment, resource sustainability and green consumerism: Perceptions of university strdents. . Sustainable Development, 9, 222-233.
Yin, S., Ray, S., Gurnani, H., & Animesh, A. (2010). Durable Products with Multiple Used ProductsMarkets: Product Upgrade and Retail Pricing Implications. Marketing Science, 29, 540-560.
Yokoo, H. F. (2009). An economic theory of reuse. Sustainability Science, 5(1), 143-150.
Yoon, S. J. (2002). The Antecedents and Consequences of Trust in Online-purchase Decisions. Journal of Interactive Marketing (John Wiley & Sons), 16(2), 47-63.
Zhang, J. (2006). The roles of players and reputation: Evidence from eBay online auctions. Decision Support Systems, 42(3), 1800-1818.
Shih, C. H., & Chang, G. H. Anslyses of consuming features and magnaing strategies to SHPs. Consumer Economics, 22(3), 64-67. [石青輝與張貴華(2006)。舊貨市場消費特點及營銷對策分析。消費經濟,第22卷第3期,頁64-67。]
Li, S. S., Li, J. W., & Chen, R. P., (2004). The fee of online auction acceptalbe? : commercial modernization of Yahoo! (Vol. 64, pp. 45-50).[ 李信興, 李振文, & 沈如鵬. (2004). 網路拍賣收費可行嗎?:Yahoo!奇摩收費的分析 商業現代化 (Vol. 64, pp. 45-50)。]
Lin, D. C. (2005) Information Management: e-business core competitiveness-second edition. Taipei: Best-Wise Publishing CO., LTD. [林東清. (2005). 資訊管理 e化企業的核心競爭能力─再版: 智勝文化事業有限公司。]
Ciou, H. J. (2010) "Quantitative research and statistical analysis" (fifth edition) Taipei: Wu-Nan Book Inc. [邱皓政. (2010). 「量化研究與統計分析」(第五版). 台北: 五南圖書公司。]
Ciou, H. J. (2011) When the PLS meet the SEM: Journal research of issues and dialogue. Quantitative, Vol. 3(1), pp.20-53. [邱皓政. (2011). 當 PLS 遇上 SEM :議題與對話. 量化研究學刊, 第三卷 第一期.]
Ou, Y. S. (1991) Content analysis. Contained in Educational Research Methodology edit by Huang, G. S. & Jian, M. F. Taipei: Shita Book Press. pp.229-254. [歐用生. (1991). 內容分析法。載於黃光雄;簡茂發主編:教育研究法。臺北:師大書苑。 229-254。]
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