Blockchain, especially Bitcoin, has been considered a revolutionizing technology in different fields, and management is no exception. This systematic literature review examines how blockchain-based management fosters trust building with organizational behavior economics. The study systematizes mainstream studies on blockchain technology and its mechanisms, emphasizing smart contracts and empirical evidence on driving trust, honesty, and accountability.
The review addresses challenges and opportunities for adopting blockchain in organizational settings using the PRISMA protocol to identify critical enablers of blockchain adoption in the context of organizational trust building.
What mechanisms of blockchain technology (e.g., decentralization, transparency, smart contracts) influence trust-building in organizational management, and how are these mechanisms empirically validated?
How do smart contracts enhance accountability and transparency, and how do these features contribute to organizational trust?
How do behavioral economic principles (e.g., loss aversion, status quo bias, and trust) interact with blockchain-driven management systems to enhance or hinder trust in organizational settings?
What empirical evidence supports the claims that blockchain technology can enhance trust, honesty, and accountability in organizational management?
This study employs a systematic literature review approach following the PRISMA protocol to ensure rigorous and comprehensive examination of relevant literature. The methodology includes:
Comprehensive search across Web of Science Core Collection, EBSCO, and Google Scholar using systematic search strings combining blockchain, trust, and organizational management terms.
Studies published until December 31, 2022, in English, focusing on blockchain technology in organizational management, trust-building, behavioral economics, transparency, or accountability.
Standardized checklist focusing on study design, methodology, and relevance to research questions, with thematic synthesis of findings.
Key information captured including study objectives, methodology, findings related to blockchain and trust-building, and challenges associated with blockchain adoption.
Enhances perceived fairness and reduces risk of manipulation through distributed control across multiple nodes (Social Proof, Status Quo Bias).
Full visibility of transactions and processes reduces uncertainty and builds confidence (Trust and Verification, Loss Aversion).
Ensures data integrity and prevents fraud, providing consistency and reliability (Endowment Effect).
Automated and enforceable digital agreements reduce need for intermediaries and ensure predictable execution (Automation and Trust).
Multiple parties validate transactions, enhancing security and fairness (Collective Decision-Making, Trust in Technology).
Strong cryptographic techniques protect against fraud and unauthorized access (Risk Perception, Reputation and Reliability).
Investigation of how artificial intelligence might create and manage decentralized autonomous organizations, eliminating human bias while raising new questions about algorithmic governance.
Exploration of how cultural differences affect trust perception in blockchain systems and the need for culturally adaptive implementation strategies.
Development of evidence-based policy recommendations for blockchain regulation that balance innovation with consumer protection and ethical considerations.
Longitudinal studies to understand how prolonged exposure to blockchain systems affects organizational behavior and trust dynamics over time.
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