Comparative Insights: Untangling IoT Success Factors in Traditional vs. Electric Vehicle Manufacturers

The integration of Internet of Things (IoT) technology within the automotive industry has been slower compared to other sectors despite its evident advantages. This article examines the factors influencing IoT adoption in automotive manufacturing, focusing on disparities between managers overseeing electric vehicles (E.V.) and traditional automobile production processes. Employing a technological-organizational-environmental framework, we evaluate these factors' weights using AHP and rank them through the TOPSIS method. Through TSIM, we construct a hierarchical framework to unravel complex relationships, while MICMAC analysis clarifies each factor's driving and dependence powers. This more profound understanding of the factors is vital for the automobile and the IoT service providers to ensure successful IoT adoption. For instance, despite environmental consciousness being a primary aspect, challenges such as storage limitations, regulatory frameworks for IoT governance, and privacy deficits hinder widespread integration. Our analysis also highlights significant variations in the importance of these factors and their interdependencies between E.V. and traditional automobile manufacturers. This underscores the imperative for customized strategies tailored to specific contexts rather than relying on a universal approach for IoT adoption. Successful implementation requires seamless device integration, environmental readiness, cost management, trust establishment, and user acceptance. This approach ensures practical execution, enhancing efficiency, fostering innovation, and improving user experiences. Policymakers can leverage these insights to devise Industry 4.0-aligned strategies, contributing to the continual evolution of traditional and electric vehicle manufacturing sectors.