Trust, Commitment, and Technology: An Integrated Model of Collaborative Governance in Digital Insurance Regulation
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Issued Date
2025-01-01
Resource Type
eISSN
25781863
Scopus ID
2-s2.0-105019330509
Journal Title
Human Behavior and Emerging Technologies
Volume
2025
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Human Behavior and Emerging Technologies Vol.2025 No.1 (2025)
Suggested Citation
Sukma N., Yamnill S. Trust, Commitment, and Technology: An Integrated Model of Collaborative Governance in Digital Insurance Regulation. Human Behavior and Emerging Technologies Vol.2025 No.1 (2025). doi:10.1155/hbe2/8884386 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/112780
Title
Trust, Commitment, and Technology: An Integrated Model of Collaborative Governance in Digital Insurance Regulation
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Author's Affiliation
Corresponding Author(s)
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Abstract
The insurance industry faces unprecedented challenges as digital transformation accelerates while regulatory frameworks struggle to keep pace with technological innovation, creating significant risks that require new models of public–private cooperation. This study examines key factors driving effective public–private cooperation in insurance regulation during digital transformation, developing an integrated theoretical framework that combines new public management principles, trust–commitment theory, and information systems participation theory. Using structural equation modeling with data from 546 stakeholders across multiple jurisdictions, we identify critical pathways through which efficiency considerations, accountability mechanisms, change agent activities, and open data initiatives influence collaborative governance outcomes. Analysis reveals three transformative insights that reshape understanding of collaborative governance in digital regulatory environments. First, relational factors serve as essential mediators between technological capabilities and collaborative outcomes, with relationship commitment, principled engagement, and trust collectively explaining nearly half of the variance in public–private cooperation effectiveness. Second, an efficiency–relationship paradox emerges where efficiency pressures simultaneously improve engagement processes while potentially undermining long-term commitment formation, challenging traditional assumptions about efficiency-focused governance approaches. Third, digital enablers function as relationship catalysts rather than mere operational tools, with change agents and open data initiatives proving crucial for trust development and sustained collaboration. The research provides actionable guidance for policymakers implementing AI governance frameworks while advancing theoretical understanding of collaborative governance in digital regulatory environments. Findings demonstrate that technological solutions alone prove insufficient for effective digital governance, requiring explicit integration of relationship-building mechanisms to achieve sustainable public–private cooperation. These contributions prove particularly timely as insurance ecosystems worldwide experience simultaneous technological revolution and intensified regulatory scrutiny.