Institutional trust in blockchain adoption: examining regulatory focus

Purpose Blockchain technology is recognized as one of the most prominent technological innovations driving organizational transformations, yet the challenge lies in understanding how to effectively foster managers’ intention to adopt it. Drawing on institutional trust theory and regulatory focus theory, this study provides an institution-based explanation of the factors influencing managers’ trust in blockchain technology and their adoption intention. Design/methodology/approach An empirical survey was conducted, collecting 255 valid questionnaires from organizational managers in Pakistan. Findings The results confirm that blockchain-enabled situational normality (BSN) acts as an institutional mechanism influencing managers’ trust in blockchain technology, which in turn promotes adoption intention. Our findings also reveal that promotion-focused managers are more sensitive to BSN, while prevention-focused managers focus more on blockchain-enabled structural assurance. Originality/value These findings contribute to the institutional trust and regulatory focus literature and to blockchain technology adoption knowledge. From a practitioner perspective, the study findings can serve as an important guide for managers and developers seeking to enhance blockchain technology adoption.

Authors

Institutions

Publication Details

Journal
Management Decision
Published
2026-07-30
DOI
https://doi.org/10.1108/md-11-2025-3684
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Institutional trust in blockchain adoption: examining regulatory focus

拓夫 菅沼, Lin Zhang, Muhammad Usman, Zhen Shao
Management Decision
Blockchain Technology Applications and Security
article

Institutional trust in blockchain adoption: examining regulatory focus

拓夫 菅沼, Lin Zhang, Muhammad Usman, Zhen Shao
article en

Abstract

Purpose Blockchain technology is recognized as one of the most prominent technological innovations driving organizational transformations, yet the challenge lies in understanding how to effectively foster managers’ intention to adopt it. Drawing on institutional trust theory and regulatory focus theory, this study provides an institution-based explanation of the factors influencing managers’ trust in blockchain technology and their adoption intention. Design/methodology/approach An empirical survey was conducted, collecting 255 valid questionnaires from organizational managers in Pakistan. Findings The results confirm that blockchain-enabled situational normality (BSN) acts as an institutional mechanism influencing managers’ trust in blockchain technology, which in turn promotes adoption intention. Our findings also reveal that promotion-focused managers are more sensitive to BSN, while prevention-focused managers focus more on blockchain-enabled structural assurance. Originality/value These findings contribute to the institutional trust and regulatory focus literature and to blockchain technology adoption knowledge. From a practitioner perspective, the study findings can serve as an important guide for managers and developers seeking to enhance blockchain technology adoption.

Management Decision
Northwestern Polytechnical University (CN), Harbin Institute of Technology (CN), Northwestern Polytechnic University (US)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Basic Research Program of Shaanxi Province
Openalex Percentile: Top 3%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.