Antecedents of IoT adoption in food supply chain quality management: an integrative model

Purpose – The introduction of quality management Internet of things (QM IoT) can help food supply chainmembers to enhance real-time visibility, quality, safety and efficiency of products and processes. Currentliterature indicates three main research gaps, including a lack of studies in QM IoT in the food supply chain, thevagueness of integrative adoption of new technology framework and deficient research covering both adoptionattitude and intention in the same model. This study aims to propose an analysis model based on thetechnological–organizational–environmental (TOE) framework and reinforced by the collaborative structureto capture the importance of the supply chain network.Design/methodology/approach – The partial least square-structural equation modeling (PLS-SEM) wasapplied to test the impacts of the adoption factors on QM IoT adoption attitude and intention among 197respondents in food manufacturing in Thailand.Findings – The results indicated that compatibility, trialability, adaptive capacity, innovative capability,executive support, value chain partner pressure, presence of service provider and information sharingsignificantly impacted the attitude toward QM IoT adoption, while adaptive capability, innovative capabilityand information sharing directly influenced the QM IoT adoption intention. Furthermore, the attitude towardQM IoT adoption positively impacted the QM IoT adoption intention.Practical implications – This study contributed to academicians by proposing a more solid adoptionframework for QM IoT area. In addition, the business practitioners could actively prepare themselves for theQM IoT adoption, whereas the service providers could provide better and suitable service.Originality/value – This research contributes to the building of a more solid framework and indicatessignificant factors that impact the attitude toward QM IoT adoption and adoption intention