Blockchain decentralised ecosystems for the public health in China: emerging considerations for decentralised trust theory

Xi, Yichen ORCID: 0000-0003-3003-2030 (2024). Blockchain decentralised ecosystems for the public health in China: emerging considerations for decentralised trust theory. University of Birmingham. Ph.D.

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Abstract

Existing research on Trust primarily emphasises dimensions such as Ability, Benevolence, Credibility, Dependability, Faith, Honesty, Integrity, and Predictability. In trans-organisational settings, centralised digital platforms often play a pivotal intermediary role in maintaining stakeholder relationships. However, within the decentralised ecosystems, Trust must be revisited in the decentralised context. This reassessment is crucial in sectors like Public Health, where the decentralised nature presents opportunities for blockchain-based innovative solutions. The success of these solutions in the public sector is contingent on a deeper comprehension of decentralised trust. In determining decentralised trust dimensions, Ability, Benevolence, Credibility, and Integrity are selected from traditional trust theory and justified as the retained trust dimensions in the decentralised context to begin with. On top of these concerns, Communication, Reputation, and Satisfaction are respectively selected from Social Learning Theory, Psychological Safety Theory, and Social Capital Theory, as the catalysts of trust in the decentralised context before primary data collection.

This thesis contributes to a novel approach to establishing decentralised trust framework, incorporating six key dimensions: Values in Action, Interaction Dynamics, Performance Synchrony, Trust Shaping Capabilities, Incentive Dynamics, and Conducive Trustworthy Environment. Furthermore, as implications for theory, Values in Action and Incentive Dynamics are conceptually connected with Commitment; Performance Synchrony and Trust Shaping Capabilities are conceptually related to Social Capital and Commitment; and Interaction Dynamics and Conducive Trustworthy Environment are conceptually associated with Social Learning and Psychological Safety. In doing so, this research redefines the theoretical connections between stakeholders within the blockchain decentralised ecosystems, providing crucial insights for advancing public sector entrepreneurship and marketing through decentralised trust approach.

Type of Work:

Thesis (Doctorates > Ph.D.)

Award Type:

Doctorates > Ph.D.

Supervisor(s):