A Network Approach to Compliance: A Complexity Science Understanding of How Rules Shape Behavior.

Autor: Kuiper ME; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Chambon M; Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS Amsterdam, The Netherlands.; National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands., de Bruijn AL; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Reinders Folmer C; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Olthuis EH; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Brownlee M; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Kooistra EB; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., Fine A; School of Criminology and Criminal Justice, Arizona State University, University Center, 411 N Central Ave, #600, Phoenix, USA., van Harreveld F; Department of Psychology, University of Amsterdam, Nieuwe Achtergracht 129-B, 1018 WS Amsterdam, The Netherlands.; National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands., Lunansky G; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands., van Rooij B; School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands.; School of Law, University of California, Irvine, 401 E Peltason Dr Suite 1000, Irvine, CA 92697 USA.
Jazyk: angličtina
Zdroj: Journal of business ethics : JBE [J Bus Ethics] 2023; Vol. 184 (2), pp. 479-504. Date of Electronic Publication: 2022 May 10.
DOI: 10.1007/s10551-022-05128-8
Abstrakt: To understand how compliance develops both in everyday and corporate environments, it is crucial to understand how different mechanisms work together to shape individuals' (non)compliant behavior. Existing compliance studies typically focus on a subset of theories (i.e., rational choice theories, social theories, legitimacy theories, capacity theories, and opportunity theories) to understand how key variables from one or several of these theories shape individual compliance. The present study provides a first integrated understanding of compliance, rooted in complexity science, in which key elements from these theories are considered simultaneously, and their relations to compliance and each other are explored using network analysis. This approach is developed by analyzing online survey data ( N  = 562) about compliance with COVID-19 mitigation measures. Traditional regression analysis shows that elements from nearly all major compliance theories (except for social theories) are associated with compliance. The network analysis revealed groupings and interconnections of variables that did not track the existing compliance theories and point to a complexity overlooked in existing compliance research. These findings demonstrate a fundamentally different perspective on compliance, which moves away from traditional narrow, non-network approaches. Instead, they showcase a complexity science understanding of compliance, in which compliance is understood as a network of interacting variables derived from different theories that interact with compliance. This points to a new research agenda that is oriented on mapping compliance networks, and testing and modelling how regulatory and management interventions interact with each other and compliance within such networks.
Supplementary Information: The online version contains supplementary material available at 10.1007/s10551-022-05128-8.
Competing Interests: Conflict of interestThe authors have no relevant financial or non-financial interests to disclose.
(© The Author(s) 2022.)
Databáze: MEDLINE
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