A Percolation-Like Process of Within-Organization Collective Corruption: A Computational Approach

Sang Joon Kim, Jegoo Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This study investigates how collective corruption appears, using a computational method. Specifically, acknowledging that the characteristics of collective corruption process are analogous to percolation phenomena, we illuminate that collective corruption is formed by ongoing social interactions in an organizational boundary. By formulating a percolation-based system dynamics model, we consider the behavioral characteristics of collective corruption in terms of individuals’ corruption preferences governed by personal attributes on corruption. We also propose and examine scenarios regarding the formation of collective corruption.

Original languageEnglish
Pages (from-to)161-195
Number of pages35
JournalBusiness and Society
Volume60
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • collective corruption
  • percolation
  • system dynamics

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