A Decision-Support Framework for Blockchain Feasibility Assessment in Public Construction and Transportation
Abstract
Blockchain has been widely recognized as a promising technology for inter-organizational collaboration in construction and transportation. However, many blockchain initiatives fail to progress beyond pilot projects. Existing blockchain adoption frameworks primarily identify adoption determinants or technol- ogy acceptance factors but provide limited support for structured, evidence-based feasibility assessment in domain-specific contexts. This paper presents a Design Science Research (DSR) approach to develop a blockchain feasibility assessment framework for public construction and transportation projects. The research was conducted through three iterative Design Science cycles. The Relevance Cycle identifies and validates blockchain-specific feasibility dimensions and assessment factors. The Design Cycle synthesizes these findings into a structured decision-support framework comprising a five-stage assessment process, seven feasibility dimensions, and 58 assessment factors supported by evidence-based scoring and imple- mentation guidance. The Rigor Cycle operationalizes the framework as a web-based decision-support system and evaluates its usability and practical applicability through expert assessment involving three construction and blockchain specialists. The evaluation produced an overall usability score of 4.73/5, in- dicating strong perceived usefulness, completeness, and practical applicability of the proposed artifact. By integrating technical, organizational, governance, legal, economic, and implementation perspectives within a transparent and repeatable assessment process, the framework extends existing blockchain adop- tion research from descriptive assessment factors toward actionable decision support.References
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DOI:
https://doi.org/10.31449/inf.v50i15.15449Keywords:
Blockchain adoption, Decision Support Systems, Construction project, Transportation project, Design Science ResearchDownloads
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