A Percolation-Like Process of Within-Organization Collective Corruption: A Computational Approach. Issue 1 (January 2021)

• Record Type: Journal Article
• Authors: Kim, Sang-Joon; Lee, Jegoo
• Other Names: Wasieleski David guest-editor.; Waddock Sandra guest-editor.; Fort Tim guest-editor.; Guimarães-Costa Nuno guest-editor.
• Is Part Of: Business and society. Volume 60:Issue 1(2021)
• Page Start: 161
• Page End: 195
• Publication Date: 2021-01
• Subjects: collective corruption -- percolation -- system dynamics; Industries -- Social aspects -- Periodicals; Industrial sociology -- Periodicals; Business ethics -- Periodicals; 306.3
• DOI: 10.1177/0007650319831630
• Languages: English
• ISSNs: 0007-6503

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.