ArticlePloS one2026
Strategic prioritization of blockchain diffusion factors by an integrated fuzzy Delphi-Dombi LMAW model: A case study in Bangladesh healthcare sectors.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the recent years, blockchain technology has been an essential practice in enhancing profitability in healthcare supply chains, especially in emerging economies. Nevertheless, regulatory uncertainty, management resistance and inadequate technological infrastructure are major setbacks. This study evaluates the diffusion factors of blockchain technology in healthcare sector of Bangladesh within a two-stage method; first, combining literature review and expert opinions, 26 significant factors were identified, which were later reduced to 22 through Fuzzy Delphi Method across 5 dimensions (Organizational, Technological, Environmental, Managerial, Individual). In the second stage, the factors ranked in importance using the Dombi Logarithmic Methodology of Additive Weights (LMAW) were consequently subjected to sensitivity analysis to ensure the robustness of results. The results indicate that the most impactful drivers are Top Management Support (0.0501), Organization Readiness (0.0485) and Trust Among Stakeholders (0.0481) for all the healthcare organizations whereas Smart Contract Automation (0.0368) and Innovation Pressure (0.0362) got the least importance and indicate that the sector is in need of strategic leadership and infrastructure rather than advanced innovations. Theoretically, this study advances technology adoption literature by demonstrating that fundamental organizational readiness and leadership support act as non-compensatory prerequisites for blockchain diffusion in emerging economies. Managerially, the proposed framework empowers healthcare executives and policymakers with an actionable roadmap for targeted resource allocation, facilitating strategic blockchain integration to enhance supply chain transparency and resilience.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.