An Empirical Study on Consumers’ Continuance Intention Model of Online Group-buying

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Author(s)

Gang Li 1,* Xin Shi 1

1. School of Information Management, Wuhan University, Wuhan, China

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2012.05.12

Received: 15 Jun. 2012 / Revised: 28 Jul. 2012 / Accepted: 5 Sep. 2012 / Published: 5 Oct. 2012

Index Terms

Online Group-buying, Continuance Intention, E-commerce, ECM-ISC, Consumer Satisfaction

Abstract

This paper examines the factors influencing consumers’ intention to continue using a new pattern of online group-buying, which benefits consumers from high discounts and is prevalent in many countries of the world since 2009. A theoretical model is proposed based on Expectation-Confirmation Model of IS Continuance (ECM-ISC) from the previous IS continuance literature, integrating with e-recovery service quality, perceived risk and two external variables. Data collected from a questionnaire survey of OGB consumers provides empirical support for the proposed model. The results indicate that consumers’ satisfaction with prior use and perceived usefulness significantly influence consumers’ continuance intention. Consumers’ satisfaction is determined primarily by consumers' confirmation of expectation from prior use and secondarily by perceived e-recovery service quality. Further, confirmation also has a significant influence on post-acceptance perceived usefulness. Confirmation, in turn, is significant influenced by both product quality and information quality. Some suggestions for practitioners are also offered.

Cite This Paper

Gang Li, Xin Shi,"An Empirical Study on Consumers’ Continuance Intention Model of Online Group-buying", IJEM, vol.2, no.5, pp.83-95, 2012. DOI: 10.5815/ijem.2012.05.12 

Reference

[1]Anand K. S., Aron R., “Group Buying on the Web: A Comparison of Price- Discovery Mechanisms”, Management Science, 49(11), 2003, pp.1546- 1562.

[2]E-Commerce Research Center of China, “Survey Report of China Online Group-Buying 2010”, http://b2b.toocle.com/zt/baogao.htm, 2009-09-19.

[3]Jas Person J., Carter P. E., and Zmud R.W., “A Comprehensive Conceptualization of Post-adoption Behaviors Associated with Information Technology Enabled Work Systems”, MIS Quarterly, 29(3), 2005, pp.525-557.

[4]Kim S. S., Malhotra N. K, “A Longitudinal Model of Continued IT Use: An Integrative View of Four Mechanisms Underlying Post Adoption Phenomena”, Management Science, 51(5), 2005, pp.741-755.

[5]Davis F. D., “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology”, MIS Quarterly, 13(3), 1989. pp. 319- 339.

[6]Ajzen I., “The Theory of Planned Behavior”, Organizational Behavior and Human Decision Processes, 50(2), 1991, pp. 179-211.

[7]Rogers, E. M., The Diffusion of Innovations (4th ed.), Free Press, New York, 1995.

[8]Bhattaeherjee A., “Understanding Information Systems Continuance: an Expectation-Confirmation Model”, MIS Quarterly, 25(3), 2001, pp. 351-370.

[9]Parthasarathy M., Bhattacherjee A., “Understanding Post-Adoption Behavior in the Context of Online Services”, Information Systems Research, 9(4), 1998, pp.362-379.

[10]Karahanna E., Straub D. W., and Chervany N. L., “Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs”, MIS Quarterly, 23(2), 1999, pp. 183-213.

[11]Venkatesh V., Speier C., and Morris M., “User Acceptance Enablers in Individual Decision Making about Technology: Toward an Integrated Model”, Decision Sciences, 33 (2), 2002, pp. 297–315.

[12]Lee Y., Kozar K. A., and Larsen K. R. T., “The Technology Acceptance Model: Past, Present, and the Future”, Communications of the AIS, 12(1), 2003, pp. 752-780.

[13]Venkatesh,V., Morris M.G., Davis G.B., and Davis F.D., “User Acceptance of Information Technology: Toward a Unified View”, MIS Quarterly, 2003, 27(3), pp. 425-478.

[14]Anderson E. W., Sullivan M. W., “The Antecedents and Consequences of Customer Satisfaction for Firms”, Marketing Science, 12(2), 1993, pp.125-143.

[15]Oliver R. L., “A Cognitive Model for the Antecedents and Consequences of Satisfaction”, Journal of Marketing Research, 17, 1980, pp. 460-469.

[16]Tse D. K., Wilton P. C., “Models of Consumer Satisfaction: An Extension”, Journal of Marketing Research, 25(5), 1988, pp. 204- 212.

[17]Yin Guopeng, Yang Bo, “An Empirical Study on Usage Continuance Model of Social Network Services”, China Jounal of Information Systems, 4(1), 2010, pp. 53-64.

[18]Dai L., Huang L. H., and Yi H. D., “How B2C Service Quality Influences Website Continuance”, Proceeding of the 9th Pacific Asia Conference on Information Systems, Bangkok, Thailand, 2005.

[19]Limayem M., Hirt S. G., Cheung M.K., “How Habit Limits the Predictive Power of Intention: The Ease of Information Systems Continuance”, MIS Quarterly, 31(4), 2007, pp.705-737.

[20]Hong S. J., Thong J. Y., Tam K. Y., “Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet”, Decision Support Systems, 42, 2006, pp. 1819-1834.

[21]Qin Min, Xu Shenghua, “Information System Adoption Behavioral Model Based on Process: An Empirical Research”, Journal of the China Society for Scientific and Technical Information, 27(5), 2008, pp.733-739. 

[22]Tsvetovat M., Sycara K., Chen Y., and Ying J., “Customer Coalitions in Electronic Markets”, In Proceedings of the 3rd Workshop on Agent Mediated Electronic Commerce (AMEC-2000), Berlin: Springer- Verlag, 2000, pp. 121- 138.

[23]Kauffman R. J., Wang B., “Bid Together, Buy Together: On the Efficacy of Group- Buying Business Models in Internet- Based Selling”, Handbook of Electronic Commerce in Business and Society, CRC Press, Boca Raton, FL, 2002, pp. 99-137.

[24]Lai H., “Collective Bargaining Models on the Internet”, SSGRR 2002S, International Conference on Advances in Infrastructure for e- Business, e-Education, e-Science, e-Medicine on the Internet, L' Aquila, Italy, 2002.

[25]Li C., Chawla S., Rajan U., and Sycara K., “Mechanism Design for Coalition Formation and Cost Sharing in Group-Buying Markets”, Electronic Commerce Research and Applications, 3(4), 2004, pp.341-354.

[26]Zhang Zhe, Lu Xinyun. “Analysis of Consumer Adoption Intention to Online Group-buying Based on TAM and Perceived Risk”, Marketing Herald, 1, 2009, pp. 13-19.

[27]Bauer R. A., Consumer Behavior as Risk Taking: Risk Taking and Information Handling in Consumer Behavior, Graduate School of Business Administration, Harvard University, Boston, MA, 1967, pp. 23–33

[28]Taylor, J., “The Role of Risk in Consumer Behavior”, Journal of Marketing, (38), 1994, pp. 54-60.

[29]Anthony D. Miyazaki, Ana Fernandez, “Consumer Perceptions of Privacy and Security Risks for Online Shopping”, Journal of Consumer Affairs, 35(1), 2001, pp. 

[30]Heijden H., “Factors Influencing the Usage of Websites: The Case of a Generic Portal in TheNetherlands”, Information and Management, 40,2003, pp. 541-549.

[31]Cho Jinsook, “Likelihood to Abort an Online Transaction: Influences from Cognitive Evaluations, Attitudes, and Behavioral Variables”, Information & Management, 41(7), 2004, pp. 827-838.

[32]Yao Dan, “Analysis of Group Buying Characters in the Era of oOnline Group-buying 2.0”, Internet Fortune, 10, 2010, pp. 144,147.

[33]Davis F. D., “A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results”, Doctoral Dissertation, MIT Sloan School of Management, Cambridge, MA, 1986.

[34]Davis F. D., Venkatesh V., “A Critical Assessment of Potential Measurement Biases in the Technology Acceptance Model: Three Experiments”, International Journal of Human-Computer Studies, 45(1), 1996, pp. 19-45 

[35]Cao Mei, Qingyu Zhang and John Seydel, “B2C E-Commerce Web Site Quality: an Empirical Examination”, Industrial Management and Data Systems, 105(5), 2005, pp. 645-661.

[36]Su Jie, “A Study on Consumers' Intention to Online Shopping Based on TAM and IDT models”, Master Dissertation, University of Electronic Science and Technology of China, 2008.

[37]Parasuraman A., Zeithaml V.A., and Malhotra A., “A Multiple-Item Scale for Assessing Electronic Service Quality”, Journal of Service Research, 2005, pp. 213-233.

[38]Dai L., Huang L. H., and Yi H. D., “How B2C Service Quality Influences Website Continuance”, Proceeding of the 9th Pacific Asia Conference on Information Systems, Bangkok, Thailand, 2005.

[39]Nunnally J.C., Psychometric Theory, McGraw-Hill, New York, NY, 1978.

[40]DeVellis R. F., Scale development: Theory and applications, Vol. 26, Newbury Park, CA: Sage, 1991.

[41]Hair J.F., Andersen R.E., Tatham R.L., and Black W.C., Multivariate Data Analysis, Prentice Hall, Upper Saddle River, NJ, 1998.