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Determinants and Outcomes of Internet Banking Adoption

Author

Listed:
  • Mei Xue

    () (Carroll School of Management, Boston College, Chestnut Hill, Massachusetts 02467)

  • Lorin M. Hitt

    () (The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania 19104)

  • Pei-yu Chen

    () (Fox School of Business and Management, Temple University, Philadelphia, Pennsylvania 19122)

Abstract

This paper examines the drivers of adoption of Internet banking and the linkages among adoption drivers and outcomes (product acquisition, service activity, profitability, loyalty). We relate Internet banking adoption to customer demand for banking services, the availability of alternative channels, customers' efficiency in service coproduction ("customer efficiency"), and local Internet banking penetration. We find that customers who have greater transaction demand and higher efficiency, and reside in areas with a greater density of online banking adopters, are faster to adopt online banking after controlling for time, regional, and individual characteristics. Consistent with prior work, we find that customers significantly increase their banking activity, acquire more products, and perform more transactions. These changes in behavior are not associated with short-run increases in customer profitability, but customers who adopt online banking have a lower propensity to leave the bank. Building on these observations we also find that the adoption drivers are linked to the postadoption changes in behavior or profitability. Customers who live in areas with a high branch density or high Internet banking penetration increase their product acquisition and transaction activity more than Internet banking adopters in other regions. Efficient customers and those with high service demand show greater postadoption profitability. This paper was accepted by Sandra Slaughter, information systems.

Suggested Citation

  • Mei Xue & Lorin M. Hitt & Pei-yu Chen, 2011. "Determinants and Outcomes of Internet Banking Adoption," Management Science, INFORMS, vol. 57(2), pages 291-307, February.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:2:p:291-307
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    File URL: http://dx.doi.org/10.1287/mnsc.1100.1187
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    References listed on IDEAS

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    1. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    2. Goolsbee, Austan & Klenow, Peter J, 2002. "Evidence on Learning and Network Externalities in the Diffusion of Home Computers," Journal of Law and Economics, University of Chicago Press, vol. 45(2), pages 317-343, October.
    3. Chris Forman & Anindya Ghose & Avi Goldfarb, 2009. "Competition Between Local and Electronic Markets: How the Benefit of Buying Online Depends on Where You Live," Management Science, INFORMS, vol. 55(1), pages 47-57, January.
    4. Byoung-Min Kim & Richard Widdows & Tansel Yilmazer, 2005. "The determinants of consumers’ adoption of Internet banking," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Rabik Ar Chatterjee & Jehoshua Eliashberg, 1990. "The Innovation Diffusion Process in a Heterogeneous Population: A Micromodeling Approach," Management Science, INFORMS, vol. 36(9), pages 1057-1079, September.
    7. Beethika Khan, 2004. "Consumer Adoption of Online Banking: Does Distance Matter?," Development and Comp Systems 0407002, EconWPA.
    8. Dennis Campbell & Frances Frei, 2010. "Cost Structure, Customer Profitability, and Retention Implications of Self-Service Distribution Channels: Evidence from Customer Behavior in an Online Banking Channel," Management Science, INFORMS, vol. 56(1), pages 4-24, January.
    9. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," Review of Economic Studies, Oxford University Press, vol. 60(3), pages 531-542.
    10. Joanna Stavins, 2002. "Effect of consumer characteristics on the use of payment instruments," New England Economic Review, Federal Reserve Bank of Boston, issue Q 3, pages 19-31.
    11. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    12. Eun-Ju Lee & David Eastwood & Jinkook Lee, 2004. "A Sample Selection Model of Consumer Adoption of Computer Banking," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(3), pages 263-275, December.
    13. Gerard J. Tellis & Stefan Stremersch & Eden Yin, 2003. "The International Takeoff of New Products: The Role of Economics, Culture, and Country Innovativeness," Marketing Science, INFORMS, vol. 22(2), pages 188-208, October.
    14. Khan, Beethika S., 2004. "Consumer Adoption of Online Banking: Does Distance Matter?," Department of Economics, Working Paper Series qt2bt1d76s, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    15. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    16. Lorin M. Hitt & Frances X. Frei, 2002. "Do Better Customers Utilize Electronic Distribution Channels? The Case of PC Banking," Management Science, INFORMS, vol. 48(6), pages 732-748, June.
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    Cited by:

    1. repec:eee:ejores:v:261:y:2017:i:3:p:1158-1169 is not listed on IDEAS
    2. Mi Jin Noh & Kyung Tag Lee, 2016. "An analysis of the relationship between quality and user acceptance in smartphone apps," Information Systems and e-Business Management, Springer, vol. 14(2), pages 273-291, May.
    3. repec:eco:journ1:2017-05-58 is not listed on IDEAS
    4. repec:pal:jmarka:v:5:y:2017:i:3:d:10.1057_s41270-017-0023-5 is not listed on IDEAS

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