IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v60y2014i4p903-922.html
   My bibliography  Save this article

Dynamics of Consumer Adoption of Financial Innovation: The Case of ATM Cards

Author

Listed:
  • Botao Yang

    () (Marshall School of Business, University of Southern California, Los Angeles, California 90089)

  • Andrew T. Ching

    () (Rotman School of Management, University of Toronto, Toronto, Ontario M5S 3E6, Canada)

Abstract

We develop a structural consumer life-cycle model to investigate consumers' adoption and usage decisions of ATM cards. If consumers are forward-looking with a known discount factor, our framework can control for the heterogeneous life span faced by consumers of different ages, and hence measure adoption costs more accurately. Moreover, our framework can recover the monetary value of total adoption costs. To estimate our model, we use an Italian panel data set, which contains information on consumers' adoption decisions for ATM cards, and their cash withdrawal patterns before and after adoption. Our results suggest that one could significantly overestimate adoption costs for the elderly when ignoring their shorter life span. Our policy experiments show that a sign-up bonus targeted to the elderly could be much more effective if implemented as a limited-time offer rather than a permanent offer. Interestingly, if the sign-up bonus is permanent, younger consumers may strategically postpone adoption. This paper was accepted by Pradeep Chintagunta, marketing.

Suggested Citation

  • Botao Yang & Andrew T. Ching, 2014. "Dynamics of Consumer Adoption of Financial Innovation: The Case of ATM Cards," Management Science, INFORMS, vol. 60(4), pages 903-922, April.
  • Handle: RePEc:inm:ormnsc:v:60:y:2014:i:4:p:903-922
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2013.1792
    Download Restriction: no

    References listed on IDEAS

    as
    1. Gautam Gowrisankaran & Marc Rysman, 2012. "Dynamics of Consumer Demand for New Durable Goods," Journal of Political Economy, University of Chicago Press, vol. 120(6), pages 1173-1219.
    2. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    3. Houser, Daniel & Winter, Joachim, 2004. "How Do Behavioral Assumptions Affect Structural Inference? Evidence from a Laboratory Experiment," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 64-79, January.
    4. Stephen Ryan & Catherine Tucker, 2012. "Heterogeneity and the dynamics of technology adoption," Quantitative Marketing and Economics (QME), Springer, vol. 10(1), pages 63-109, March.
    5. Orazio P. Attanasio & Luigi Guiso & Tullio Jappelli, 2002. "The Demand for Money, Financial Innovation, and the Welfare Cost of Inflation: An Analysis with Household Data," Journal of Political Economy, University of Chicago Press, vol. 110(2), pages 317-351, April.
    6. Stijn Ferrari & Frank Verboven & Hans Degryse, 2010. "Investment and Usage of New Technologies: Evidence from a Shared ATM Network," American Economic Review, American Economic Association, vol. 100(3), pages 1046-1079, June.
    7. Thierry Magnac & David Thesmar, 2002. "Identifying Dynamic Discrete Decision Processes," Econometrica, Econometric Society, vol. 70(2), pages 801-816, March.
    8. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    9. Ratchford, Brian T, 2001. " The Economics of Consumer Knowledge," Journal of Consumer Research, Oxford University Press, vol. 27(4), pages 397-411, March.
    10. William J. Baumol, 1952. "The Transactions Demand for Cash: An Inventory Theoretic Approach," The Quarterly Journal of Economics, Oxford University Press, vol. 66(4), pages 545-556.
    11. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
    12. Fernando Alvarez & Francesco Lippi, 2009. "Financial Innovation and the Transactions Demand for Cash," Econometrica, Econometric Society, vol. 77(2), pages 363-402, March.
    13. Timothy H. Hannan & John M. McDowell, 1984. "The Determinants of Technology Adoption: The Case of the Banking Firm," RAND Journal of Economics, The RAND Corporation, vol. 15(3), pages 328-335, Autumn.
    14. Gilly, Mary C & Zeithaml, Valarie A, 1985. " The Elderly Consumer and Adoption of Technologies," Journal of Consumer Research, Oxford University Press, vol. 12(3), pages 353-347, December.
    15. Harikesh Nair, 2007. "Intertemporal price discrimination with forward-looking consumers: Application to the US market for console video-games," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 239-292, September.
    16. Anna Canato & Nicoletta Corrocher, 2004. "Information and communication technology: organisational challenges for Italian banks," Accounting History Review, Taylor & Francis Journals, vol. 14(3), pages 355-370.
    17. Michael D. Hurd & Kathleen McGarry, 1995. "Evaluation of the Subjective Probabilities of Survival in the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages s268-s292.
    18. Gautam Gowrisankaran & Joanna Stavins, 2004. "Network Externalities and Technology Adoption: Lessons from Electronic Payments," RAND Journal of Economics, The RAND Corporation, vol. 35(2), pages 260-276, Summer.
    19. Jean-Pierre H. Dubé & Günter J. Hitsch & Pradeep K. Chintagunta, 2010. "Tipping and Concentration in Markets with Indirect Network Effects," Marketing Science, INFORMS, vol. 29(2), pages 216-249, 03-04.
    20. Daniel A. Ackerberg & Gautam Gowrisankaran, 2006. "Quantifying equilibrium network externalities in the ACH banking industry," RAND Journal of Economics, RAND Corporation, vol. 37(3), pages 738-761, September.
    21. Víctor Aguirregabiria & Pedro Mira, 2007. "Dynamic Discrete Choice Structural Models: A Survey," Working Papers wp2007_0711, CEMFI.
    22. Brett R. Gordon, 2009. "A Dynamic Model of Consumer Replacement Cycles in the PC Processor Industry," Marketing Science, INFORMS, vol. 28(5), pages 846-867, 09-10.
    23. repec:rje:randje:v:37:y:2006:3:p:738-761 is not listed on IDEAS
    24. Michael D. Hurd & Kathleen McGarry, 2002. "The Predictive Validity of Subjective Probabilities of Survival," Economic Journal, Royal Economic Society, vol. 112(482), pages 966-985, October.
    25. W. Viscusi & Joel Huber & Jason Bell, 2008. "Estimating discount rates for environmental quality from utility-based choice experiments," Journal of Risk and Uncertainty, Springer, vol. 37(2), pages 199-220, December.
    26. Hanming Fang & Michael Keane & Ahmed Khwaja & Martin Salm & Dan Silverman, 2007. "Testing the Mechanisms of Structural Models: The Case of the Mickey Mantle Effect," American Economic Review, American Economic Association, vol. 97(2), pages 53-59, May.
    27. Xinlei Chen & Yuxin Chen & Charles Weinberg, 2013. "Learning about movies: the impact of movie release types on the nationwide box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(3), pages 359-386, August.
    28. Khwaja, Ahmed, 2010. "Estimating willingness to pay for medicare using a dynamic life-cycle model of demand for health insurance," Journal of Econometrics, Elsevier, vol. 156(1), pages 130-147, May.
    29. Hannan, Timothy H & McDowell, John M, 1987. "Rival Precedence and the Dynamics of Technology Adoption: An Empirical Analysis," Economica, London School of Economics and Political Science, vol. 54(214), pages 155-171, May.
    30. Inseong Song & Pradeep Chintagunta, 2003. "A Micromodel of New Product Adoption with Heterogeneous and Forward-Looking Consumers: Application to the Digital Camera Category," Quantitative Marketing and Economics (QME), Springer, vol. 1(4), pages 371-407, December.
    31. Bauer, Keldon & Hein, Scott E., 2006. "The effect of heterogeneous risk on the early adoption of Internet banking technologies," Journal of Banking & Finance, Elsevier, vol. 30(6), pages 1713-1725, June.
    32. S. Sriram & Pradeep K. Chintagunta & Manoj K. Agarwal, 2010. "Investigating Consumer Purchase Behavior in Related Technology Product Categories," Marketing Science, INFORMS, vol. 29(2), pages 291-314, 03-04.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kim Huynh & Philipp Schmidt-Dengler & Gregor W. Smith & Angelika Welte, 2017. "Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards," Staff Working Papers 17-8, Bank of Canada.
    2. repec:wly:jmoncb:v:49:y:2017:i:1:p:115-169 is not listed on IDEAS
    3. Naoki Wakamori & Angelika Welte, 2017. "Why Do Shoppers Use Cash? Evidence from Shopping Diary Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 115-169, February.
    4. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2016. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," Economics Papers 2016-W12, Economics Group, Nuffield College, University of Oxford.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ormnsc:v:60:y:2014:i:4:p:903-922. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Mirko Janc) The email address of this maintainer does not seem to be valid anymore. Please ask Mirko Janc to update the entry or send us the correct email address. General contact details of provider: http://edirc.repec.org/data/inforea.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.