article · Cogent Engineering
This research investigates the factors influencing the adoption of blockchain technology within the Ethiopian National Quality Infrastructure. Using data collected from 178 professionals across diverse organisations and roles, the study combines the Technology Acceptance Model with the Technology Organisation Environment framework. The analysis examines internal factors including perceived usefulness, perceived ease of use, and intention to use alongside external influences such as technological compatibility, relative advantage, policy, and government support. A dual-stage analytical approach using partial least squares structural equation modelling and artificial neural networks reveals that technological compatibility, perceived usefulness, and top management support are critical determinants for adoption. In particular, the compatibility of existing systems with blockchain technology emerges as the single most influential factor shaping adoption decisions in this environment.
National quality infrastructure organisations ensure standards, safety, and reliability across industries. Understanding what drives or delays the adoption of modern technologies such as blockchain allows policymakers and institutional leaders to plan digital upgrades more effectively. Highlighting the need for system compatibility helps institutions prioritise necessary technical upgrades before attempting large-scale implementations.
This work is relevant to national quality infrastructure agencies, standardisation bodies, and enterprise software vendors developing blockchain solutions for public sector systems. Because it evaluates adoption factors among professionals rather than developing or testing a tool, it represents early-stage exploratory research that can inform system design and institutional implementation strategies rather than a direct commercial product.
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This study explores the adoption of blockchain technology within the Ethiopian National Quality Infrastructure (NQI). Data from 178 professionals representing various organizations and roles were collected to investigate key adoption factors. By integrating the Technology Acceptance Model (TAM) and the Technology-Organization-Environment (TOE) framework, external factors (Technology Compatibility, Relative Advantage, Government Support, and Policy) and internal factors (perceived usefulness, perceived ease of use, and intention to use) were examined. A dual-stage analytical approach involving partial least square-based structural equation model (PLS-SEM) and artificial neural network (ANN) analyses was employed. The findings emphasize the significance of technological compatibility, perceived usefulness, and top management support as determinants of blockchain adoption in the NQI. Particularly, the compatibility of the existing system emerges as the most influential factor in adopting blockchain technology within the Ethiopian NQI. This study enhances the understanding of blockchain adoption within the NQI context, providing valuable insights for successful implementation. It contributes to the existing knowledge in this area and offers practical implications for quality infrastructure management.
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DOI: 10.1080/23311916.2024.2369220
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