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As a foundational and disruptive technology with unique features, blockchains can provide distinct technology pushes for novel business models, strategies, processes, and applications. Revised or new business models can be iteratively refined and transformed to increasingly more detailed design and implementation models to be realized by applications supported by blockchains. Governance concerns with how decisions are made, implemented, and controlled. It is an important focal point of any model and process. Blockchain enables new governance opportunities that are trusted, decentralized, automated, accountable, secured, and privacy-protected. These opportunities can be used to analyze governance issues in constructing models, processes, and blockchain applications. Based on our prototyping experience in two permissioned blockchain platforms, we propose a framework of six governance attributes for constructing consortium blockchain applications: decision process, accountability and verifiability, trust, incentive, security and privacy, and effectiveness. The framework aids in exploring blockchain-created governance opportunities and driving future research.
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Trust in the Context of Blockchain Applications
Measuring trust in different Blockchain application contexts is challenging. There is a gap between building an accountable system with Blockchain and measuring the actual trust enhancement. This paper reviews trust factors in different Blockchain application contexts. We propose a trust assessment model for accountable trust factor collection while accounting for both quantitative and qualitative aspects of trust assessment. Our goal is to help users determine the trustworthiness of an entity by analyzing trust factors collected from intermediaries during business transactions. We use security and incentive assumptions to enhance the reliability of trust assessment data on Blockchain.
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- Award ID(s):
- 2131515
- PAR ID:
- 10471337
- Publisher / Repository:
- IEEE
- Date Published:
- ISBN:
- 978-1-6654-9958-3
- Page Range / eLocation ID:
- 111 to 118
- Format(s):
- Medium: X
- Location:
- San Antonio, TX, USA
- Sponsoring Org:
- National Science Foundation
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