Integrating the Technology Acceptance Model (TAM) into the Supply Chain of India's Passenger Car Industry: Mitigating Technical Uncertainties

This study explores the application of the Technology Acceptance Model (TAM) in the context of the Indian passenger car industry’s supply chain, with a specific focus on addressing technical uncertainties. The research aims to investigate how TAM can be leveraged to enhance the adoption and utilization of advanced technologies, thereby improving supply chain efficiency and resilience. The Indian passenger car industry is experiencing rapid growth, driven by increasing demand and technological advancements. However, technical uncertainties pose significant challenges to supply chain management. The Technology Acceptance Model (TAM) offers a valuable framework for understanding the factors influencing technology adoption. This study integrates TAM into the supply chain of the Indian passenger car industry to identify key drivers and barriers to technology acceptance. Research Questions: 1. What are the technical uncertainties faced by the Indian passenger car industry’s supply chain? 2. How can TAM be applied to address these technical uncertainties? 3. What are the key factors influencing technology acceptance among supply chain stakeholders? Theoretical Framework: The Technology Acceptance Model (TAM) posits that two primary factors influence technology acceptance: Perceived Usefulness (PU) and Perceived Ease of Use (PEU). This study extends TAM to incorporate supply chain-specific variables, including: 1. Technical uncertainty 2. Supply chain complexity 3. Stakeholder collaboration 4. Organizational readiness Methodology: A mixed-methods approach will be employed, combining: 1. Survey research: Questionnaires will be administered to supply chain stakeholders (OEMs, tier-1 suppliers, logistics providers) to gather data on TAM constructs. 2. Case studies: In-depth analyses of select passenger car manufacturers will provide insights into TAM’s application. Expected Outcomes: This study aims to: 1. Identify technical uncertainties faced by the Indian passenger car industry’s supply chain. 2. Develop a TAM-based framework for addressing technical uncertainties. 3. Provide recommendations for enhancing technology acceptance and supply chain efficiency. Implications: The findings of this study will contribute to the development of effective strategies for managing technical uncertainties in the Indian passenger car industry’s supply chain. By integrating TAM, organizations can improve technology adoption, reduce uncertainty, and enhance overall supply chain resilience.