IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v57y2011i2p291-307.html
   My bibliography  Save this article

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
    DOI: 10.1287/mnsc.1100.1187
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1100.1187
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1100.1187?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Chang, Yoonhee Tina, 2003. "Dynamics Of Banking Technology Adoption : An Application To Internet Banking," The Warwick Economics Research Paper Series (TWERPS) 664, University of Warwick, Department of Economics.
    2. Mei Xue & Lorin M. Hitt & Patrick T. Harker, 2007. "Customer Efficiency, Channel Usage, and Firm Performance in Retail Banking," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 535-558, April.
    3. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    4. 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.
    5. Kevin Zhu & Kenneth L. Kraemer, 2005. "Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry," Information Systems Research, INFORMS, vol. 16(1), pages 61-84, March.
    6. 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.
    7. Byoung-Min Kim & Richard Widdows & Tansel Yilmazer, 2005. "The determinants of consumers’ adoption of Internet banking," Conference Series ; [Proceedings], Federal Reserve Bank of Boston.
    8. 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.
    9. 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.
    10. Richard B. Chase, 1981. "The Customer Contact Approach to Services: Theoretical Bases and Practical Extensions," Operations Research, INFORMS, vol. 29(4), pages 698-706, August.
    11. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    12. Beethika Khan, 2004. "Consumer Adoption of Online Banking: Does Distance Matter?," Development and Comp Systems 0407002, University Library of Munich, Germany.
    13. 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.
    14. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    15. 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.
    16. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mi Zhou & Dan Geng & Vibhanshu Abhishek & Beibei Li, 2020. "When the Bank Comes to You: Branch Network and Customer Omnichannel Banking Behavior," Information Systems Research, INFORMS, vol. 31(1), pages 176-197, March.
    2. Nishtha Langer & Chris Forman & Sunder Kekre & Baohong Sun, 2012. "Ushering Buyers into Electronic Channels: An Empirical Analysis," Information Systems Research, INFORMS, vol. 23(4), pages 1212-1231, December.
    3. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    4. Pranpreya Sriwannawit & Ulf Sandström, 2015. "Large-scale bibliometric review of diffusion research," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1615-1645, February.
    5. Edgardo Arturo Ayala Gaytán, 2009. "Social network externalities and price dispersion in online markets," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 1-28, November.
    6. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    7. Kai-Lung Hui & I. P. L. Png, 2015. "Research Note—Migration of Service to the Internet: Evidence from a Federal Natural Experiment," Information Systems Research, INFORMS, vol. 26(3), pages 606-618, September.
    8. Daniel Björkegren, 2022. "Competition in network industries: Evidence from the Rwandan mobile phone network," RAND Journal of Economics, RAND Corporation, vol. 53(1), pages 200-225, March.
    9. Anuj Kumar & Rahul Telang, 2012. "Does the Web Reduce Customer Service Cost? Empirical Evidence from a Call Center," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 721-737, September.
    10. Gensler, Sonja & Leeflang, Peter & Skiera, Bernd, 2012. "Impact of online channel use on customer revenues and costs to serve: Considering product portfolios and self-selection," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 192-201.
    11. Nikolaos E. Petridis & Georgios Digkas & Leonidas Anastasakis, 2020. "Factors affecting innovation and imitation of ICT in the agrifood sector," Annals of Operations Research, Springer, vol. 294(1), pages 501-514, November.
    12. Abedi, Vahideh Sadat, 2019. "Compartmental diffusion modeling: Describing customer heterogeneity & communication network to support decisions for new product introductions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
    13. Laciana, Carlos E. & Rovere, Santiago L. & Podestá, Guillermo P., 2013. "Exploring associations between micro-level models of innovation diffusion and emerging macro-level adoption patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1873-1884.
    14. Giovanni Pegoretti & Francesco Rentocchini & Giuseppe Vittucci Marzetti, 2012. "An agent-based model of innovation diffusion: network structure and coexistence under different information regimes," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 145-165, October.
    15. Antonio Ladrón-de-Guevara & William Putsis, 2015. "Multi-Market, Multi-Product New Product Diffusion: Decomposing Local, Foreign, and Indirect (Cross-Product) Effects," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 57-70, March.
    16. Jullien, Bruno & Pavan, Alessandro & Rysman, Marc, 2021. "Two-sided Markets, Pricing, and Network Effects," TSE Working Papers 21-1238, Toulouse School of Economics (TSE).
    17. Jiang, Guoyin & Tadikamalla, Pandu R. & Shang, Jennifer & Zhao, Ling, 2016. "Impacts of knowledge on online brand success: an agent-based model for online market share enhancement," European Journal of Operational Research, Elsevier, vol. 248(3), pages 1093-1103.
    18. Grajek, Michał & Kretschmer, Tobias, 2012. "Identifying critical mass in the global cellular telephony market," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 496-507.
    19. Desmarchelier, Benoît & Fang, Eddy S., 2016. "National culture and innovation diffusion. Exploratory insights from agent-based modeling," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 121-128.
    20. Hessam Bavafa & Lorin M. Hitt & Christian Terwiesch, 2018. "The Impact of E-Visits on Visit Frequencies and Patient Health: Evidence from Primary Care," Management Science, INFORMS, vol. 64(12), pages 5461-5480, December.

    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:57:y:2011:i:2:p:291-307. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.