Blockchain, Trust, and Cross-Organizational Knowledge-Sharing in Sustainable Innovation

Grounded in the knowledge-based view and the emerging logic of digital knowledge governance, this study investigates how blockchain adoption strategies reshape inter-firm knowledge-sharing and sustainable innovation. A game theory and decision-optimization model is developed to capture the interplay among blockchain cost, knowledge trust, and collaboration incentives under four adoption scenarios between knowledge creators and users. The results uncover a double-threshold mechanism: when blockchain costs are high, the technology suppresses collaboration by increasing coordination frictions; yet as costs fall below a critical level, blockchain shifts from a trust-reinforcing tool to a catalyst for co-creation efficiency and joint environmental performance. Interestingly, partial adoption can yield a trust paradox-enhancing local reliability but diminish system-wide innovation synergy. As adoption diffuses, the equilibrium dynamically evolves from non-adoption to asymmetry and eventually bilateral digital trust, producing higher social welfare and resilience. Among asymmetric modes, creator-led adoption consistently outperforms user-led adoption, underscoring the strategic value of upstream knowledge transparency. The findings extend the knowledge-based view to the context of digital trust architecture and provide actionable insights for policymakers and firms seeking to build trust-based, knowledge-driven, and digitally sustainable innovation ecosystems.

Authors

Institutions

Publication Details

Journal
Systems
Published
2026-04-01
DOI
https://doi.org/10.3390/systems14040381
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain, Trust, and Cross-Organizational Knowledge-Sharing in Sustainable Innovation

Haiyan Miao, Guanpeng Wu
Systems
Blockchain Technology Applications and Security
article

Blockchain, Trust, and Cross-Organizational Knowledge-Sharing in Sustainable Innovation

Haiyan Miao, Guanpeng Wu
article en

Abstract

Grounded in the knowledge-based view and the emerging logic of digital knowledge governance, this study investigates how blockchain adoption strategies reshape inter-firm knowledge-sharing and sustainable innovation. A game theory and decision-optimization model is developed to capture the interplay among blockchain cost, knowledge trust, and collaboration incentives under four adoption scenarios between knowledge creators and users. The results uncover a double-threshold mechanism: when blockchain costs are high, the technology suppresses collaboration by increasing coordination frictions; yet as costs fall below a critical level, blockchain shifts from a trust-reinforcing tool to a catalyst for co-creation efficiency and joint environmental performance. Interestingly, partial adoption can yield a trust paradox-enhancing local reliability but diminish system-wide innovation synergy. As adoption diffuses, the equilibrium dynamically evolves from non-adoption to asymmetry and eventually bilateral digital trust, producing higher social welfare and resilience. Among asymmetric modes, creator-led adoption consistently outperforms user-led adoption, underscoring the strategic value of upstream knowledge transparency. The findings extend the knowledge-based view to the context of digital trust architecture and provide actionable insights for policymakers and firms seeking to build trust-based, knowledge-driven, and digitally sustainable innovation ecosystems.

SystemsVol. 14(4)
Harbin Institute of Technology (CN), Shandong Women’s University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 29%
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.