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A Network Approach to Compliance: A Complexity Science Understanding of How Rules Shape Behavior
Malouke Esra Kuiper1, Monique Chambon2,3, Anne Leonore de Bruijn1
1School of Law, University of Amsterdam, Roetersstraat 11, 1018 WB Amsterdam, The Netherlands.
Journal of Business Ethics : JBE
|May 16, 2022
Summary
Understanding compliance requires integrating multiple theories. Complexity science and network analysis reveal interconnected variables, offering a new perspective beyond traditional approaches to compliance behavior.
Area of Science:
- Behavioral Science
- Complexity Science
- Network Analysis
Background:
- Existing compliance research often isolates theories (rational choice, social, legitimacy, capacity, opportunity).
- A comprehensive understanding of how diverse mechanisms influence compliant and non-compliant behavior is lacking.
- Previous studies fail to capture the interconnectedness of factors shaping compliance.
Purpose of the Study:
- To develop an integrated understanding of compliance using complexity science.
- To explore the simultaneous relationships between key compliance theories and their variables.
- To analyze compliance behavior through a network analysis lens.
Main Methods:
- Online survey data (N=562) on COVID-19 mitigation measures compliance.
- Application of network analysis to explore variable interconnections.
- Comparison with traditional regression analysis.
Main Results:
- Regression analysis confirmed associations between compliance and elements from most major theories (excluding social).
- Network analysis identified novel groupings and interconnections of variables.
- Findings revealed a complexity in compliance not captured by existing, non-networked theories.
Conclusions:
- Compliance is best understood as a complex network of interacting variables from diverse theories.
- A shift from narrow, traditional approaches to a complexity science perspective is needed.
- Future research should focus on mapping compliance networks and modeling intervention impacts.
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