Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Exploring the online bidder’s repurchase intention: a cost and benefit perspective

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

The success of online auctions is founded on bidders enjoying shopping benefits and on creating bidders’ loyalty. This study investigates the importance of bidders’ repurchase intention along with the corresponding cost and benefit aspects. Therefore, this study integrates transaction cost economics and expectancy confirmation theory to understand the determinants of bidders’ repurchase intention in online auctions. We collected data from a survey questionnaire, and a total of 594 valid questionnaires were analyzed. Partial least squares structural equation modeling was used to assess the relationships of the research model. The findings show that satisfaction has a significant influence on bidders’ repurchase intention, while transaction cost is negatively associated with repurchase intention. Bidders’ satisfaction is determined by confirmation and by the e-service quality of both auctioneers and sellers. Moreover, an auctioneer’s asset specificity and product uncertainty are positively associated with the bidder’s perceived transaction cost. The interaction frequency between bidder and seller is negatively associated with the bidder’s transaction costs. The research results provide a novel approach to understanding bidders’ benefit and cost dimensions in online auction marketplaces. Our findings could guide online auctioneers and sellers in enhancing their offerings.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Ajzen I (1991) The theory of planned behavior. Org Behav Human Decis Process 50(2):179–211

    Article  Google Scholar 

  • Anderson RE, Srinivasan SS (2003) E-satisfaction and e-loyalty: a contingency framework. Psychol Mark 20(2):123–138. doi:10.1002/mar.10063

    Article  Google Scholar 

  • Atchariyachanvanich K, Okada H, Sonehara N (2007) What keeps online customers repurchasing through the internet? ACM SI. Gecom Exch 6(2):47–57. doi:10.1145/1228621.1228626

    Article  Google Scholar 

  • Bauer HH, Falk T, Mammerschmidt M (2006) eTransQual: a transaction process-based approach for capturing service quality in online shopping. J Bus Res 59:866–875

    Article  Google Scholar 

  • Bemmaor AC (1995) Predicting behavior from intention-to-buy measures: the parametric case. J Mark Res 32(2):176–191

    Article  Google Scholar 

  • Bharadwaj N, Matsuno K (2006) Investigating the antecedents and outcomes of customer firm transaction cost savings in a supply chain relationship. J Bus Res 59(1):62–72

    Article  Google Scholar 

  • Bhattacherjee A (2001) Understanding information systems continuance: an expectation-confirmation model. MIS Q 25(3):351–370

    Article  Google Scholar 

  • Bhattacherjee A, Premkumar G (2004) Understanding changes in belief and attitude toward information technology usage: a theoretical model and longitudinal test. MIS Q 28(2):229–254

    Google Scholar 

  • Bloemer JMM, Kasper HDP (1995) The complex relationship between consumer satisfaction and brand loyalty. J Econ Psychol 16:311–329

    Article  Google Scholar 

  • Cadotte ER, Woodruff RB, Jenkins RL (1987) Expectations and norms in models of consumer satisfaction. J Mark Res 24(3):305–314

    Article  Google Scholar 

  • Cannon JP, Homburg C (2001) Buyer-supplier relationships and customer firm costs. J Mark 65:29–43

    Article  Google Scholar 

  • Chen Z, Dubinsky AJ (2003) A conceptual model of perceived customer value in e-commerce: a preliminary investigation. Psychol Mark 20(4):323–347. doi:10.1002/mar.10076

    Article  Google Scholar 

  • Chin WW (1998) Issues and opinion on structural equation modeling. MIS Q 22(1):vii–xvi

    Google Scholar 

  • Chin WW, Newsted PR (eds) (1999) Structural equation modeling analysis with small samples using partial least squares statistical strategies for small sample research. Sage Publications, Thousand Oaks

    Google Scholar 

  • Chircu AM, Mahajan V (2006) Managing electronic commerce retail transaction costs for customer value. Decis Support Syst 42(2):898–914

    Article  Google Scholar 

  • Chiu C-M, Hsu M-H, Sun S-Y, Lin T-C, Sun P-C (2005) Usability, quality, value and e-learning continuance decisions. Comput Educt 45(4):399–416

    Article  Google Scholar 

  • Churchill JGA, Surprenant C (1982) An investigation into the determinants of customer satisfaction. J Mark Res 19(4):491–504

    Article  Google Scholar 

  • Coase RH (1973) The nature of the firm. Economica 4:386

    Article  Google Scholar 

  • Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparisson of two theoretical models. Manag Sci 35(8):982–1003

    Article  Google Scholar 

  • Devaraj S, Fan M, Kohli R (2002a) Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Inf Syst Res 13(3):316–333

    Article  Google Scholar 

  • Devaraj S, Ming F, Kohli R (2002b) Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics. Inf Syst Res 13(3):316–333

    Article  Google Scholar 

  • Devaraj S, Fan M, Kohli R (2006) Examination of online channel preference: using the structure-conduct-outcome framework. Decis Support Syst 42:1089–1103

    Article  Google Scholar 

  • Dick AS, Basu K (1994) Customer loyalty: toward an integrated conceptual framework. J Acad Mark Sci 22(2):99–113

    Article  Google Scholar 

  • Dodds WB, Monroe KB (1985) The effect of brand and price information on subjective product evaluations. In: Hirschman EC, Holbrook MB (eds) Advances in consumer research, vol 12. Association for consumer research, Provo, pp 85–90

    Google Scholar 

  • Dodds WB, Monroe KB, Grewal D (1991) Effects of price, brand, and store information on buyers’ product evaluations. J Mark Res 28(3):307–319

    Article  Google Scholar 

  • Fishbein M, Ajzen I (1975) Belief, attitude, intention, and behavior. Addison-Wesley Company, Reading

    Google Scholar 

  • Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable and measurement error. J Mark Res 18(1):39–50

    Article  Google Scholar 

  • Fornell C, Johnson MD, Anderson EW, Cha J, Bryant BE (1996) The American customer satisfaction index: nature, purpose, and findings. J Mark 60(4):7–18

    Article  Google Scholar 

  • Frevert RF (1967) An observational criterion of repurchase performance. J Mark Res 4(3):249–251

    Article  Google Scholar 

  • Gefen D, Straub DW (2004) Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. Omega 32(6):407–424

    Article  Google Scholar 

  • Ghoshal S, Moran P (1996) Bad for practice: a critique of the transaction cost theory. Acad Manag Rev 21(1):13–47

    Google Scholar 

  • Gustafsson A, Johnson MD, Roos I (2005) The effects of customer satisfaction, relationship commitment dimensions, and triggers on customer retention. J Mark 69:210–218

    Article  Google Scholar 

  • Hair JF Jr, Black WC, Babin B, Anderson R, Tatham R (2006) Multivariate data analysis, 6th edn. Prentice Hall, Upper Saddle River

    Google Scholar 

  • Hair J, Sarstedt M, Ringle C, Mena J (2012) An assessment of the use of partial least squares structural equation modeling in marketing research. J Acad Mark Sci 40(3):414–433. doi:10.1007/s11747-011-0261-6

    Article  Google Scholar 

  • Hellier PK, Geursen GM, Carr RA, Rickard JA (2003) Customer repurchase intention: a general structural equation model. Eur J Mark 37(11/12):1762–1800

    Article  Google Scholar 

  • Hoffman DL, Novak TP, Peralta M (1999) Building consumer trust online. Commun ACM 42(4):80–85. doi:10.1145/299157.299175

    Article  Google Scholar 

  • Hom PW, Griffeth RW, Palich LE, Bracker JS (1998) An exploratory investigation into theoretical mechanisms underlying realistic job previews. Pers Psychol 51(2):421–451

    Article  Google Scholar 

  • Hsu MH, Yen CH, Chiu CM, Chang CM (2006) A longitudinal investigation of continued online shopping behavior: an extension of the theory of planned behavior. Int J Human Comput Stud 64(9):889–904

    Article  Google Scholar 

  • Infosino W (1986) Forecasting new product sales from likelihood of purchase ratings. Mark Sci 5:372–384

    Article  Google Scholar 

  • Jiang P, Rosenbloom B (2005) Customer intention to return online: price perception, attribute-level performance, and satisfaction unfolding over time. Eur J Mark 39(1/2):150–174

    Article  Google Scholar 

  • Jones K, Leonard LNK (2007) Consumer-to-consumer electronic commerce: a distinct research stream. J Electron Commer Org 5(4):39–54

    Article  Google Scholar 

  • Kettinger WJ, Lee CC (2005) Zones of tolerance: alternative scales for measuring information systems service quality. MIS Q 29(4):607–621

    Google Scholar 

  • Khalifa M, Liu V (2003) Determinants of satisfaction at different adoption stages of Internet-based services. J Assoc Inf Syst 4(5):206–232

    Google Scholar 

  • Kim YG, Li G (2009) Customer satisfaction with and loyalty towards online travel products: a transaction cost economics perspective. Tour Econ 15(4):825–846

    Article  Google Scholar 

  • Kim DJ, Ferrin DL, Rao HR (2009) Trust and satisfaction, two stepping stones for successful e-commerce relationships: a longitudinal exploration. Inf Syst Res 20(2):237–257. doi:10.1287/isre.1080.0188

    Article  Google Scholar 

  • Kopalle PK, Lehmann DR (2001) Strategic management of expectations: the role of disconfirmation sensitivity and perfectionism. J Mark Res 38(3):386–394

    Article  Google Scholar 

  • Lee M-C (2010) Explaining and predicting users’ continuance intention toward e-learning: an extension of the expectation-confirmation model. Comput Educt 54(2):506–516

    Article  Google Scholar 

  • Lee Y, Kwon O (2011) Intimacy, familiarity and continuance intention: an extended expectation-confirmation model in web-based services. Electron Commer Res Appl 10(3):342–357

    Article  Google Scholar 

  • Lee M-Y, Kim Y-K, Fairhurst A (2009) Shopping value in online auctions: their antecedents and outcomes. J Retail Consumer Serv 16(1):75–82. doi:10.1016/j.jretconser.2008.11.003

    Article  Google Scholar 

  • Liang TP, Huang J (1988) An empirical study on consumer acceptance of products in electronic markets: a transaction cost model. Decis Support Syst 24(1):29–43

    Article  Google Scholar 

  • Liao C, Chen JL, Yen DC (2007) Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: an integrated model. Comput Human Behav 23:2804–2822

    Article  Google Scholar 

  • Limayem M, Hirt SG, Cheung CMK (2007) How habit limits the predictive power of intention: the case of information systems continuance. MIS Q 31(4):705–737

    Google Scholar 

  • Lin CS, Wu S, Tsai RJ (2005) Integrating perceived playfulness into expectation-confirmation model for web portal context. Inf Manag 42:683–693

    Article  Google Scholar 

  • Lin C-P, Tsai Y, Chiu C-K (2009) Modeling customer loyalty from an integrative perspective of self-determination theory and expectation–confirmation theory. J Bus Psychol 24(3):315–326. doi:10.1007/s10869-009-9110-8

    Article  Google Scholar 

  • Lin F-R, Po R-W, Orellan C (2011) Mining purchasing decision rules from service encounter data of retail chain stores. Inf Sys E-Bus Manag 9(2):193–221. doi:10.1007/s10257-010-0143-3

    Article  Google Scholar 

  • Lo S (2011) The best 100 online stores business next (in Chinese). Business next, Taipei

    Google Scholar 

  • Manchala DW (2000) E-commerce trust metrics and models. Inter Comput IEEE 4(2):36–44. doi:citeulike-article-id:1018844

    Article  Google Scholar 

  • Marcoulides GA, Saunders C (2006) PLS: a silver bullet? MIS Q 30(2):iii–ix

    Google Scholar 

  • Mckinney V, Yoon K, Zahedi FM (2002) The measurement of web-customer satisfaction: an expectation and disconfirmation approach. Inf Syst Res 13(3):296–315

    Article  Google Scholar 

  • Mittal V, Kamakura WA (2001) Satisfaction, repurchase intent, and repurchase behavior: investigating the moderating effect of customer characteristics. J Mark Res 38(1):131–142

    Article  Google Scholar 

  • Mittal V, Ross WT, Baldasare PM (1998) The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions. J Mark 62(1):33–47

    Article  Google Scholar 

  • Morwitz VG, Schmittlein D (1992) Using segmentation to improve sales forecasts based on purchase intent: which “Intenders” actually buy? J Mark Res 29(4):391–405

    Article  Google Scholar 

  • Morwitz VG, Johnson E, Schmittlein D (1993) Does measuring intent change behavior? J Consumer Res 20(1):46–61

    Article  Google Scholar 

  • Oliver RL (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. J Mark Res 17:460–469

    Article  Google Scholar 

  • Oliver RL, Balakrishnan PVS, Barry B (1994) Outcome satisfaction in negotiation: a test of expectancy disconfirmation. Org Behav Human Decis Process 60(2):252–275

    Article  Google Scholar 

  • Olsen SO (2002) Comparative evaluation and the relationship between quality, satisfaction, and repurchase loyalty. J Acad Mark Sci 30(3):240–249

    Google Scholar 

  • Parasuraman A, Grewal D (2000) The impact of technology on the quality-value-loyalty chain: a research agenda. J Acad Mark Sci 28(1):168–174. doi:10.1177/0092070300281015

    Article  Google Scholar 

  • Parasurman A, Zeithaml VA, Malhotra A (2005) E-S-QUAL: a multiple-item scale for assessing electronic service quality. J Serv Res 7(3):213–233

    Article  Google Scholar 

  • Pavlou PA, Liang H, Xue Y (2007) Understanding and mitigating uncertainty in online exchange relationships: a principal-agent perspective. MIS Q 31(1):105–136

    Google Scholar 

  • Peter JP, Tarpey LX Sr (1975) A comparative analysis of three consumer decision strategies. J Consumer Res 2(1):29–37

    Article  Google Scholar 

  • Phillips DM, Baumgartner H (2002) The role of consumption emotions in the satisfaction response. J Consumer Psychol 12(3):243–252

    Article  Google Scholar 

  • Reichheld FF, Teal T (1996) The loyalty effect. Harvard Business School Press, Boston

    Google Scholar 

  • Rhee H-S, Riggins FJ, Kim C (2009) The impact of product type and perceived characteristics of the web on multifaceted online shopping behavior. J Org Comput Electron Commer 19(1):1–29. doi:10.1080/10919390802198907

    Article  Google Scholar 

  • Rindfleisch A, Heide JB (1997) Transaction cost analysis: past, present, and future applications. J Mark 61(4):30–54

    Article  Google Scholar 

  • Ringle CM, Wende S, Will A (2005) SmartPLS. http://www.smartpls.de/.2012

  • Ringle CM, Sarstedt M, Straub DW (2012) A critical look at the use of PLS-SEM in MIS quarterly. MIS Q 36(1):3–106

    Google Scholar 

  • Roca JC, Chiu CM, Martíneza FJ (2006) Understanding e-learning continuance intention: an extension of the technology acceptance model. Int J Human Comput Stud 64:683–696

    Article  Google Scholar 

  • Rose S, Clark M, Samouel P, Hair N (2012) Online customer experience in e-retailing: an empirical model of antecedents and outcomes. J Retail 88(2):308–322

    Article  Google Scholar 

  • Silk AJ, Urban GL (1978) Pre-test-market evaluation of new product goods: a model and measurement methodology. J Mark Res 15:171–191

    Article  Google Scholar 

  • Srinivasan SS, Anderson R, Ponnavolu K (2002) Customer loyalty in e-commerce: an exploration of its antecedents and consequences. J Retail 78(1):41–50

    Article  Google Scholar 

  • Szymanski DM, Henard DH (2001) Customer satisfaction: a meta-analysis of the empirical evidence. J Acad Mark Sci 29(1):16–35

    Google Scholar 

  • Taylor SA, Baker TL (1994) An assessment of the relationship between service quality and customer satisfaction in the formation of consumers’ purchase intentions. J Retail 70(2):163–178

    Article  Google Scholar 

  • Teo TSH, Yu Y (2005) Online buying behavior: a transaction cost economics perspective: omega. Int J Manag Sci 33:451–465

    Google Scholar 

  • Thong JYL, Hong SJ, Tam KY (2006) The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. Int J Human Comput Syst 64:799–810

    Article  Google Scholar 

  • Tsai H, Juang H, Jaw Y, Chen W (2006) Why on-line customers remain with a particular e-retailer: an integrative model and empirical evidence. Psychol Mark 23(5):447–464

    Article  Google Scholar 

  • Venkatesh V, Goyal S (2010) Expectation disconfirmation and technology adoption: polynomial modeling and response surface analysis. MIS Q 34(2):281–303

    Google Scholar 

  • Venkatesh V, Morris MG, Gordon BD, Davis FD (2003) User acceptance of information technology: toward a unified view. MIS Q 27(3):425–478

    Google Scholar 

  • Williamson OE (1975) Markets and hierarchies: analysis and antitrust implications. Free Press, New York

    Google Scholar 

  • Williamson OE (1981) The economics of organization: the transaction cost approach. Am J Sociol 87(3):548–577

    Article  Google Scholar 

  • Williamson OE (1985) The economic institutions of capitalism. Free Press, New York

    Google Scholar 

  • Wolfinbarger M, Gilly MC (2003) eTailQ: dimensionalizing, measuring and predicting etail quality. J Retail 79:183–198

    Article  Google Scholar 

  • Yang C-L, Huang R-H (2011) Key success factors for online auctions: analysis of auctions of fashion clothing. Expert Syst Appl 38(6):7774–7783

    Article  Google Scholar 

  • Yang Z, Peterson RT (2004) Customer perceived value, satisfaction, and loyalty: the role of switching costs. Psychol Mark 21(10):799–822. doi:10.1002/mar.20030

    Article  Google Scholar 

  • Zhang Y, Fang Y, Wei KK, Ramsey E, McCole P, Chen H (2011) Repurchase intention in B2C e-commerce-a relationship quality perspective. Inf Manag 48(6):192–200

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chiahui Yen.

Appendix: Survey questionnaire

Appendix: Survey questionnaire

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yen, C., Hsu, MH. & Chang, CM. Exploring the online bidder’s repurchase intention: a cost and benefit perspective. Inf Syst E-Bus Manage 11, 211–234 (2013). https://doi.org/10.1007/s10257-012-0201-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-012-0201-0

Keywords