Exploring Blockchain Adoption Drivers in Manufacturing Supply Chains: An Integrated TAM-TTF Perspective
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Abstract
Technological innovation has brought significant improvement in both productivity and sustainability of 21st-century organizations. Despite significant challenges in implementing blockchain in supply chain management (SCM) systems, blockchain provides sustainable benefits to companies in effectively managing supply chain operations. This study aims to explore the factors influencing the manufacturing organizations’ blockchain adoption in their SCM. To accomplish the research objective, this study incorporates the integration of the TAM and TTF model. Using a questionnaire survey, necessary data have been solicited from 223 employees working in the SCM department of manufacturing companies. The Structural Equation Modelling method has been used to test the proposed hypotheses. Statistical findings outline the significance of TTF in molding users’ perception regarding the benefits and simplicity of the particular technology. All constructs of the TTF model have a significant effect on TTF, which thereby impacts perceived usefulness (PU) and blockchain adoption (BCA). Perceived Ease of Use (PEOU) has a positive impact on PU, and PU has a substantial impact on BCA. But PEOU does not significantly impact BCA. The integration of TAM and TTF models in BCA enriches existing literature through theoretical advancement. In practice, this study contributes to organizations’ policy development in improving system efficiency, security, and traceability through blockchain adoption.
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