Advances in Consumer Research
Issue 1 : 1415-1428
Original Article
Technology-Enabled Supply Chain Capabilities and their Impact on Manufacturing Firm Performance: NCA and fsQCA Approach
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1
PhD Research Scholar, School of Leadership and Management, Manav Rachna International Institute of Research and Studies, Faridabad
2
Associate Professor, School of Leadership and Management, Manav Rachna International Institute of Research and Studies, Faridabad
Abstract

The high rate of adoption of digital technologies has radically changed the supply chain structure and practices in manufacturing companies. This paper analyzes the impact of technology-enabled supply chain capabilities (TESCCs) on the performance of the manufacturing firms based on the digitalization, servitization, risk management, collaborative innovation, and new technology. Based on the Resource-Based View, Dynamic Capabilities Theory, Technology Acceptance Model (TAM) and the configurational approaches, the study conceptualizes TESCCs as a multidimensional construct that includes digital visibility, integration, agility, collaboration, traceability, and human-technology interaction. In the study, the impact of advanced technologies, including artificial intelligence, blockchain-traceability system, analytics-driven forecasting, redistributed manufacturing, and digital servitization are mentioned as components in improving the resilience of the supply chain, collaborative new product development, and risk management.

The framework also lends credence to human-based adoption and acceptance of technologies as defined using TAM, in the conversion of technological investments into high-quality operational results. Teamwork structures such as sharing resources and collaborative forecasting can reinforce the performance of innovation and responsiveness, whereas the transparency provided by blockchains and the use of AI to support the decision-making process can increase trust, traceability, and mitigate risk. Altogether, these capabilities will lead to sustained competitive advantage, better financial performance, and greater innovation performance in manufacturing companies.

The study takes into consideration the nature of causal complexity and equifinality in producing high performance outcomes because it uses a holistic and a configurational approach which indicates that more than one combination of TESCCs can result in high-performing firms. The suggested conceptualization holds significant theoretical value in that it unites various lenses and comes up with practical implications to manufacturing managers who are interested in the strategic use of digital technologies in order to create resilient, nimble, and performance-based supply chains..

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