Research Note—Online Users' Switching Costs: Their Nature and Formation

Published Online:https://doi.org/10.1287/isre.1100.0340

References

  • Alba J. W., Hutchinson J. W. Dimensions of consumer expertise. J. Consumer Res. (1987) 13(4):411–454CrossrefGoogle Scholar
  • Arkes H., Blumer C. The psychology of sunk cost. Organ. Behav. Human Decision Processes (1985) 35:124–140CrossrefGoogle Scholar
  • Bagozzi R. P., Yi Y. On the evaluation of structural equation models. J. Acad. Marketing Sci. (1988) 16(1):74–94CrossrefGoogle Scholar
  • Barclay D., Higgins C., Thompson R. The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration. Tech. Stud. (1995) 2(2):285–309Google Scholar
  • Beggs A., Klemperer P. Multi-period competition with switching costs. Econometrica (1992) 60(3):651–666CrossrefGoogle Scholar
  • Bhattacherjee A. Individual trust in online firms: Scale development and initial test. J. Management Inform. Systems (2002) 19(1):211–241CrossrefGoogle Scholar
  • Burnham T. A., Frels J. K., Mahajan V. Consumer switching costs: A typology, antecedents, and consequences. J. Acad. Marketing Sci. (2003) 31(2):109–126CrossrefGoogle Scholar
  • Chen P. Y., Forman C. Can vendors influence switching costs and compatibility in an environment with open standards? MIS Quart. (2006) 30(Special issue):541–562CrossrefGoogle Scholar
  • Chen P. Y., Hitt L. M. Measuring switching costs and the determinants of customer retention in Internet-enabled businesses: A study of the online brokerage industry. Inform. Systems Res. (2002) 13(3):255–274LinkGoogle Scholar
  • Chin W. W., Gopal A. Adoption intention in GSS—Relative importance of beliefs. Database Adv. Inform. Systems (1995) 26(2/3):42–64CrossrefGoogle Scholar
  • Chin W. W., Marcolin B. L., Newsted P. R. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Inform. Systems Res. (2003) 14(2):189–217LinkGoogle Scholar
  • Compeau D. R., Higgins C. A. Computer self-efficacy: Development of a measure and initial test. MIS Quart. (1995) 19(2):189–211CrossrefGoogle Scholar
  • Devaraj S., Fan M., Kohli R. Antecedents of B2C channel satisfaction and preference: Validating e-commerce metrics. Inform. Systems Res. (2002) 13(3):316–333LinkGoogle Scholar
  • Dodds W. B., Monroe K. B., Grewal D. Effects of price, brand, and store information on buyers' product evaluations. J. Marketing Res. (1991) 28(3):307–319CrossrefGoogle Scholar
  • Farrell J., Shapiro C. Dynamic competition with switching costs. RAND J. Econom. (1988) 19(1):123–137CrossrefGoogle Scholar
  • Fornell C., Bookstein F. L. Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. J. Marketing Res. (1982) 19(4):440–452CrossrefGoogle Scholar
  • Fornell C., Larcker D. F. Evaluating structural equation models with unobservable variables and measurement error. J. Marketing Res. (1981) 18(1):39–50CrossrefGoogle Scholar
  • Gefen D. Customer loyalty in e-commerce. J. Assoc. Inform. Systems (2002) 3:27–51Google Scholar
  • Gefen D., Karahanna E., Straub D. W. Trust and TAM in online shopping: An integrated model. MIS Quart. (2003) 27(1):51–90CrossrefGoogle Scholar
  • Guiltinan J. P., Childers T. L., et al. A classification of switching costs with implications for relationship marketing. 1989 AMA Winter Educators' Conf.: Marketing Theory and Practice (1989) (AMA, Chicago) 216–220Google Scholar
  • Greenstein S. Technological mediation and commercial development in the early Internet access market. California Management Rev. (2001) 43(2):75–94CrossrefGoogle Scholar
  • Hannan M., Freeman J. Structural inertia and organizational change. Amer. Sociol. Rev. (1984) 49(2):149–164CrossrefGoogle Scholar
  • Heide J. B., John G. The role of dependence balancing in safeguarding transaction-specific assets in conventional channels. J. Marketing (1988) 52(1):20–35CrossrefGoogle Scholar
  • Heide J. B., Weiss A. M. Vendor consideration and switching behavior for buyers in high-technology markets. J. Marketing (1995) 59(3):30–43CrossrefGoogle Scholar
  • Hui K. L., Chau P. Y. K. Classifying digital products. Comm. ACM (2002) 45(6):73–79CrossrefGoogle Scholar
  • Jarvis C. B., MacKenzie S. B., Podsakoff P. M. A critical review of construct indicators and measurement model misspecifications in marketing and consumer research. J. Consumer Res. (2003) 30(2):199–218CrossrefGoogle Scholar
  • Jones M. A., Mothersbaugh D. L., Beatty S. E. Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. J. Bus. Res. (2002) 55(6):441–450CrossrefGoogle Scholar
  • Keaveney S. M., Parthasarathy M. Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. J. Acad. Marketing Sci. (2001) 29(4):374–390CrossrefGoogle Scholar
  • Keil M., Truex D. P., Mixon R. The effects of sunk cost and project completion on information technology project escalation. IEEE Trans. Engrg. Management (1995) 42(4):372–381CrossrefGoogle Scholar
  • Kim H., Kankanhalli A. Investigating user resistance to information systems implementation: A status quo bias perspective. MIS Quart. (2009) 33(3):567–582CrossrefGoogle Scholar
  • Kim S. S., Son J. Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quart. (2009) 33(1):49–70CrossrefGoogle Scholar
  • Klemperer P. Competition when consumers have switching costs: An overview with applications to industrial organization, macroeconomics, and international trade. Rev. Econom. Stud. (1995) 62(4):515–539CrossrefGoogle Scholar
  • Klemperer P. Markets with consumer switching costs. Quart. J. Econom. (1987) 102(2):375–394CrossrefGoogle Scholar
  • Lam S. Y., Shankar V., Murthy M. K. E. B. Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. J. Acad. Marketing Sci. (2004) 32(3):293–311CrossrefGoogle Scholar
  • Lindell M., Whitney D. Accounting for common method variance in cross-sectional research designs. J. Appl. Psych. (2001) 86(1):114–121CrossrefGoogle Scholar
  • Lohmöller J.Latent Variable Path Modeling with Partial Least Squares (1989) (Physica-Verlag, Heidelberg) CrossrefGoogle Scholar
  • Madden G., Savage S. J., Coble-Neal G. Subscriber churn in the Australian ISP market. Inform. Econom. Policy (1999) 11(2):195–207CrossrefGoogle Scholar
  • Malhotra N. K., Kim S. S., Patil A. Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Sci. (2006) 52(2):1865–1883LinkGoogle Scholar
  • Marakas G., Yi M., Johnson R. The multilevel and multifaceted character of computer self-efficacy: Toward clarification of the construct and an integrative framework for research. Inform. Systems Res. (1998) 9(2):126–163LinkGoogle Scholar
  • Miller L. E., Smith K. L. Handling nonresponse issues. J. Extension (1983) 21(5):45–50Google Scholar
  • Muniz A. M., O'Guinn T. C. Brand community. J. Consumer Res. (2001) 27(4):412–432CrossrefGoogle Scholar
  • Oliver R. L. Whence customer loyalty. J. Marketing (1999) 63(Special Issue):33–44CrossrefGoogle Scholar
  • Ping R. A. Does satisfaction moderate the association between alternative attractiveness and exit intention in a marketing channel? J. Acad. Marketing Sci. (1994) 22(4):364–371CrossrefGoogle Scholar
  • Podsakoff P., Mackenzie S., Lee J., Podsakoff N. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psych. (2003) 88(5):879–903CrossrefGoogle Scholar
  • Ratchford B. T., Talukdar D., Lee M. S. A model of consumer choice of the Internet as an information source. Internat. J. Electronic Commerce (2001) 5(3):7–21CrossrefGoogle Scholar
  • Riemer K., Totz C., Tseng M., Piller F. T. The many faces of personalization—An integrated economic overview of mass customization. The Customer Centric Enterprise: Advances in Mass Customization and Personalization (2003) (Springer, Berlin) 35–50CrossrefGoogle Scholar
  • Ringle C. M., Wende S., Will A. (2005) . SmartPLS 2.0 (beta), Hamburg, Germany, http://www.smartpls.deGoogle Scholar
  • Rokkan A. I., Heide J. B., Wathne K. H. Specific investments in marketing relationships: Expropriation and bonding effects. J. Marketing Res. (2003) 40(2):210–224CrossrefGoogle Scholar
  • Sheth J., Parvatiyar A. Relationship marketing in consumer markets: Antecedents and consequences. J. Acad. Marketing Sci. (1995) 23(4):255–271CrossrefGoogle Scholar
  • Shugan S. M. The costs of thinking. J. Consumer Res. (1980) 7(September):99–111CrossrefGoogle Scholar
  • Sweeney J. C., Soutar G. N. Consumer perceived value: The development of a multiple item scale. J. Retailing (2001) 77(2):203–220CrossrefGoogle Scholar
  • Taylor S., Todd P. A. Understanding information technology usage: A test of competing models. Inform. Systems Res. (1995) 6(2):144–176LinkGoogle Scholar
  • Vatanasombut B., Stylianou A. C., Igbaria M. How to retain online customers. Comm. ACM (2004) 46(6):65–69Google Scholar
  • Venkatesh V., Agarwal R. Turning visitors into customers: A usability-centric perspective on purchase behavior in electronic channels. Management Sci. (2006) 52(3):367–382LinkGoogle Scholar
  • Venkatesh V., Davis F. D. A model of the antecedents of perceived ease of use: Development and test. Decision Sci. (1996) 27(3):451–481CrossrefGoogle Scholar
  • Verhoef P. C. Understanding the effect of customer relationship management efforts on customer retention and customer share development. J. Marketing (2003) 67(4):30–45CrossrefGoogle Scholar
  • Webster J., Martocchio J. J. Microcomputer playfulness: Development of a measure with workplace implications. MIS Quart. (1992) 16(2):201–226CrossrefGoogle Scholar
  • Weiss A. M., Anderson E. Converting from independent to employee salesforces: The role of perceived switching costs. J. Marketing Res. (1992) 29(1):101–115CrossrefGoogle Scholar
  • Whitten D., Green K. The effect of switching costs on intent to switch: An application in IS service provision markets. Internat. J. Mobile Comm. (2005) 3(4):428–444CrossrefGoogle Scholar
  • Williamson O. E.The Economic Institutions of Capitalism (1985) (Free Press, New York) Google Scholar
  • Zeithaml V. A. How consumer evaluation processes differ between goods and services. Marketing of Services (1981) (American Marketing Association, Chicago) 186–190Google Scholar
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