Conceptualising Blockchain Adoption Framework for Information Management
摘要
The construction industry is increasingly recognising the value of innovative digital technologies for addressing long-standing inefficiencies in project information management. Among these technologies, blockchain offers transformative potential due to its decentralised, secure, and transparent nature. However, despite its benefits, the adoption of blockchain technology (BT) for information management in construction remains limited, largely due to challenges such as organisational resistance, infrastructural inadequacies, regulatory gaps, and unclear governance mechanisms. This chapter aims to conceptualise a robust and context-specific framework to guide the adoption of blockchain technology for effective information management in the construction industry. Drawing from an extensive review of theoretical models such as the Technology Acceptance Model, Diffusion of Innovation Theory, Adaptive Structuration Theory, Knowledge-Based View of the Firm, and the DLT Four-Dimensional Model, the chapter identifies key constructs influencing adoption. These constructs are categorised into five core dimensions: Technological Infrastructure, Organisational Culture, Industry Environment, Policy and Regulation, and Technology Governance. The study integrates these theoretical insights with findings from expert interviews to develop a conceptual framework comprising 67 validated indicator variables across the five constructs, alongside 14 potential outcome variables. The framework is designed to reflect the interdependent roles of these constructs in influencing blockchain adoption and highlights how they collectively contribute to improved information traceability, data security, collaborative efficiency, and decision-making in construction projects. This chapter contributes to knowledge by offering a holistic and empirically-informed model that can support researchers, industry stakeholders, and policymakers in facilitating the adoption of blockchain-based information systems in construction. It establishes a foundation for future empirical validation and practical application, advancing the digital transformation agenda within the built environment.