Online Repurchase Intention: Empirical Study on the Household Equipment Market
DOI:
https://doi.org/10.21638/spbu18.2019.409Abstract
The explosion of e-commerce has enabled consumers to purchase goods online. We have developed a conceptual framework based on the technology acceptance model, the expectation-confirmation theory, and the concept of information systems continuance. Our intent is to conduct an empirical study on consumers’ online repurchase of household equipment, which has not been undertaken before. 218 respondents answered our survey on the IKEA online repurchase intention. Structural equation modeling has been used for the analysis. Concerning the household equipment market, our findings indicate that past internet shopping experience affects online customers’ perceived ease of use, confirmation and satisfaction. The usability of a website affects trust, perceived enjoyment, and usefulness. Customers’ confirmation affects satisfaction but not perceived usefulness. Intention to repurchase household equipment online is positively affected by perceived usefulness and satisfaction. Analysis of our data leads to the counter-intuitive finding that online repurchase intention is negatively affected by perceived enjoyment. Our study contributes to bring together several extant online repurchase intention models.
Keywords:
Internet, e-commerce, repurchase, household equipment, online shopping, IKEA
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References
REFERENCES
Arbuckle J. L., Wothke W. 1995. Amos 4.0 User’s Guide. Small Waters Corporation: Chicago.
Armstrong J. S., Overton T. S. 1977. Estimating nonresponse bias in mail surveys. Journal of Marketing Research 14: 396–402.
Babbie E. 2001. Practice of Social Research (9th ed.). Wadsworth Thomson Learning: Belmont, CA.
Bagozzi R., Yi Y. 1988. On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16 (1): 74–94.
Bandura A. 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Prentice-Hall: Upper Saddle River, NJ.
Bart Y., Shankar V., Sultan F., Urban G. L. 2005. Are the drivers and role of online trust the same for all web sites and consumers? A large-scale exploratory empirical study. Journal of Marketing 69 (4): 133–152.
Bigné-Alcañiz E., Ruiz-Mafé C., Aldás-Manzano J., Sanz-Blas S. 2008. Influence of online shopping information dependency and innovativeness on internet shopping adoption. Online Information Review 32 (5): 648–667.
Bhattacherjee A. 2001. Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly 25 (3): 351–370.
Ciornea R. 2013. Drivers of consumer’s satisfaction with luxury fashion products and overall satisfaction’s impact on repurchase intention. Proceeding of International Conference Marketing — From Information to Decision 6: 51–67.
Chau Y. K. P. 2001. Influence of computer attitude and self-efficacy on IT usage behavior. Journal of End User Computing 13 (1): 26-33.
Chen Y.-Y. 2012. Why do consumers go internet shopping again? Understanding the antecedents of repurchase intention. Journal of Organizational Computing and Electronic Commerce 22 (1): 38–63.
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 35 (8): 982–1003.
Dess G. G., Robinson R. B. 1984. Measuring organizational performance in the absence of objective measures: The case of the privately held firm and conglomerate business unit. Strategic Management Journal 5 (3): 265–273.
Devaraj S., Fan M., Kohli R. 2002. Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Information Systems Research 13 (3): 316–333.
Doll W. J., Deng X., Raghunathan T., Torkzadeh G., Xia W. 2004. The meaning and measurement of user satisfaction: A multigroup invariance analysis of the end-user computing satisfaction instrument. Journal of Management Information Systems 21 (1): 227–262.
Fornell C., Larcker D. F. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18 (1): 39–50.
Gefen D., Karahanna E., Straub W. D. 2003. Trust and TAM in online shopping: An integrated model. MIS Quarterly 27 (1): 51–90.
Gefen D., Straub D. 2003. Managing user trust in B2C e-services. E-service Journal 2 (2): 7–24.
Hassanein K., Head M. 2007. Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. Human-Computer Studies 65 (8): 689–708.
Hong S. J., Thong J. Y. L., Tam K. Y. 2006. Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems 42 (3): 1819–1834.
Karahanna E., Straub D. W., Chervany N. L. 1999. Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Quarterly 23 (2): 183–213.
Kline R. B. 1998. Principles and Practice of Structural Equation Modeling. The Guilford Press: N.Y.
Khalifa M., Liu M. 2007. Online consumer retention: Contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems 16 (6): 780–792.
Kim D. J., Ferrin D. L., Rao H. R. 2008. A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems 44 (2): 544–564.
Kim C., Galliers R. D., Shin N., Ryoo J.-H., Kim J. 2012. Factors influencing internet shopping value and customer repurchase intention. Electronic Commerce Research and Applications 11 (4): 374–387.
Kim D., Ammeter A. P. 2008. Examining shifts in online purchasing behavior: Decoding the “net generation”. Proceedings of the Academy of Information and Management Sciences 12 (1): 7–12.
Kim M., Lee C.-K., Chung N., Kim W. G. 2014. Factors affecting online tourism group buying and the moderating role of loyalty. Journal of Travel Research 53 (3): 380–394.
Korzaan M. L., Rutner P. S. 2013. Investigating the role of psychological factors in explaining online behavior. Feature Edition 3: 69–94.
Kuan H. H., Bock G. W., Vatthanophas V. 2008. Comparing the effects of website quality on customer initial purchase and continued purchase at e-commerce websites. Behaviour & Information Technology 27 (1): 3–16.
Lee Z. C., Hodges N. 2012. An investigation of antecedents and consequences of consumers attitudes toward an apparel website. Global Conference on Business & Finance Proceedings 7 (1): 718–734.
Liao C., Palvia P., Chen J.-L. 2009. Information technology adoption behavior life cycle: Toward a technology continuance theory (TCT). International Journal of Information Management 29 (4): 309–320.
Locke E. A. 1976. The Nature and Causes of Job Satisfaction. Handbook of Industrial and Organizational Psychology 1: 1297-1343.
Marsh H. W., Hocevar D. 1985. Application of confirmatory factor analysis to the study of self-concept: First- and higher-order factor models and their invariance across groups. Psychological Bulletin 97 (3): 562–582.
Nunnally J. 1978. Psychometric Theory. McGraw-Hill: N.Y.
Oliver R. L. 1980. A cognitive model of the antecedents and consequences of satisfactions decisions. Journal of Marketing Research 17 (4): 460–469.
Ormrod J. E. 1999. Human Learning (3rd ed.). Prentice-Hall: Upper Saddle River, NJ.
Radner R., Rothschild B. 1975. On the allocation of effort. Journal of Economic Theory 10 (3): 358–376.
Rice M. 1997. What makes users revisit a web site? Marketing News 31 (6): 12-13.
Rust R. T., Cooil B. 1994. Reliability measures for qualitative data: Theory and implications. Journal of Marketing Research 31 (1): 1–14.
Tong X. 2010. A cross-national investigation of an extended technology acceptance model in the online shopping context. International Journal of Retail & Distribution Management 38 (10): 742–759.
Van der Heijden H. 2004. User acceptance of hedonic information systems. MIS Quarterly 28 (4): 695–704.
Wen C., Prybutok V. R., Xu C. 2011. An integrated model for consumer online repurchase intention. Journal of Computer Information Systems 52 (1): 14–23.
Zeithaml V. A., Parasuraman A., Malhorta A. 2002. A service quality delivery through web sites: A critical review of extant knowledge. Journal of the Academy of Marketing Science 30 (4): 362–375.
Zhang Y., Fang Y., Wei K.-K., Ramsey E., McCole P., Chen H. 2011. Repurchase intention in B2C commerce — a relationship quality perspective. Information & Management 48 (6): 192–200.
Zhu D. S., Lee Z. C. R., O’Neal G. S. 2011. Mr. Risk! Please trust me: Trust antecedents that increase online consumer purchase intention. Journal of Internet Banking and Commerce 16 (3): 1–23.
Zumpe S., Van der Heijden H. 2007. On the use of variable user goals to measure perceived usefulness. ECIS 2007 Proceedings 68: 1334–1343.
Zwick R. 1988. Another look at interrater agreement. Psychological Bulletin 103 (3): 374–378.
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Published
2020-02-07
How to Cite
Videlaine, G., & Scaringella, L. (2020). Online Repurchase Intention: Empirical Study on the Household Equipment Market. Russian Management Journal, 17(4), 569–590. https://doi.org/10.21638/spbu18.2019.409
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Special Section: Management and Innovations in the Digital Age
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Articles of the Russian Management Journal are open access distributed under the terms of the License Agreement with Saint Petersburg State University, which permits to the authors unrestricted distribution and self-archiving free of charge.
