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Global Diffusion of the Non-Traditional Banking Model and Alliance Networks: Social Exposure, Learning and Moderating Regulatory Effort

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  • Cuntz, A.N.
  • Blind, K.

Abstract

We analyze the impact of (alliance) network exposure on the speed and extent of adoption of the business model as being one explanatory factor for diffusion controlling for actor specific characteristics and embeddedness in the network. In order to explain how existing national regulation moderated this relationship and whether it succeeded in its risk-limiting mission by moderating global adoption patterns and risk-bearing behavior among financial institutions we estimate various history event analysis model i.e. standard Cox and extended frailty models. We find strong support for the role of network exposure rather than social learning, the impact of regulatory effort on patterns of adoption and the role of country clusters for diffusion in the financial sector.

Suggested Citation

  • Cuntz, A.N. & Blind, K., 2010. "Global Diffusion of the Non-Traditional Banking Model and Alliance Networks: Social Exposure, Learning and Moderating Regulatory Effort," ERIM Report Series Research in Management ERS-2010-044-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:21681
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    References listed on IDEAS

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    1. Jalal Akhavein & W. Scott Frame & Lawrence J. White, 2005. "The Diffusion of Financial Innovations: An Examination of the Adoption of Small Business Credit Scoring by Large Banking Organizations," The Journal of Business, University of Chicago Press, vol. 78(2), pages 577-596, March.
    2. Demirguc-Kunt, Asli & Detragiache, Enrica, 2002. "Does deposit insurance increase banking system stability? An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 49(7), pages 1373-1406, October.
    3. M. Capasso & E. Cefis & K. Frenken, 2009. "Do some firms persistently outperform?," Working Papers 09-, Utrecht School of Economics.
    4. Richard J. Sullivan, 2000. "How has the adoption of Internet banking affected performance and risk in banks?," Financial Industry Perspectives, Federal Reserve Bank of Kansas City, issue Dec, pages 1-16.
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    Cited by:

    1. Claudia Gabriela Baicu & Olimpia State, 2012. "Banking Models Under the Impact of the Post-Crisis Organizational Changes Apt to Confer Sustainable Financial Stability - Romanian Experience," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 14(32), pages 436-450, June.

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    Keywords

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    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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