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Modeling the impact of organization structure and whistle-blowers on intra-organizational corruption contagion

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  • Nekovee, Maziar
  • Pinto, Jonathan

Abstract

We complement the rich conceptual work on organizational corruption by quantitatively modeling the spread of corruption within organizations. We systematically vary four organizational culture-related parameters, i.e., organization structure, location of bad apples, employees’ propensity to become corrupted (“corruption probability”), and number of whistle-blowers. Our simulation studies find that in organizations with flatter structures, corruption permeates the organization at a lower threshold value of corruption probability compared to those with taller structures. However, the final proportion of corrupted individuals is higher in the latter as compared to the former. Also, we find that for a 1,000-strong organization, 5% of the workforce is a critical threshold in terms of the number of whistle-blowers needed to constrain the spread of corruption, and if this number is around 25%, the corruption contagion is negligible. Implications of our results are discussed.

Suggested Citation

  • Nekovee, Maziar & Pinto, Jonathan, 2019. "Modeling the impact of organization structure and whistle-blowers on intra-organizational corruption contagion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 339-349.
    • Handle: RePEc:eee:phsmap:v:522:y:2019:i:c:p:339-349
    DOI: 10.1016/j.physa.2019.01.140
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    1. Bicchieri, Cristina & Fukui, Yoshitaka, 1999. "The Great Illusion: Ignorance, Informational Cascades, and the Persistence of Unpopular Norms," Business Ethics Quarterly, Cambridge University Press, vol. 9(1), pages 127-155, January.
    2. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    3. Eric Abrahamson & Lori Rosenkopf, 1997. "Social Network Effects on the Extent of Innovation Diffusion: A Computer Simulation," Organization Science, INFORMS, vol. 8(3), pages 289-309, June.
    4. Ross, William T. & Robertson, Diana C., 2000. "Lying: The Impact of Decision Context," Business Ethics Quarterly, Cambridge University Press, vol. 10(2), pages 409-440, April.
    5. Peter V. Marsden & Noah E. Friedkin, 1993. "Network Studies of Social Influence," Sociological Methods & Research, , vol. 22(1), pages 127-151, August.
    6. Ranjay Gulati & Phanish Puranam, 2009. "Renewal Through Reorganization: The Value of Inconsistencies Between Formal and Informal Organization," Organization Science, INFORMS, vol. 20(2), pages 422-440, April.
    7. Zhao, Laijun & Wang, Jiajia & Huang, Rongbing & Cui, Hongxin & Qiu, Xiaoyan & Wang, Xiaoli, 2014. "Sentiment contagion in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 17-23.
    8. Goel, Rajeev K. & Nelson, Michael A., 2007. "Are corrupt acts contagious?: Evidence from the United States," Journal of Policy Modeling, Elsevier, vol. 29(6), pages 839-850.
    9. Juin‐jen Chang & Ching‐chong Lai, 2002. "Is the Efficiency Wage Efficient? The Social Norm and Organizational Corruption," Scandinavian Journal of Economics, Wiley Blackwell, vol. 104(1), pages 27-47, March.
    Full references (including those not matched with items on IDEAS)

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