Browsing by Author "Gunasekaran, Angappa"
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Item Open Access Blockchain technology’s impact on supply chain integration and sustainable supply chain performance: Evidence from the automotive industry(Springer, 2021-07-01) Kamble, Sachin S.; Gunasekaran, Angappa; Subramanian, Nachiappan; Ghadge, Abhijeet; Belhadi, Amine; Venkatesh, ManiThe study investigates the relationship between the information and communication-enabled supply chain integration (SCI) and sustainable supply chain performance (SSCP). Moreover, to the best of our knowledge, there is no empirical evidence on the impact of blockchain technologies (BT) on the SSCP. Therefore, the primary aim of this study is to assess the relationship between BT and SSCP. More specifically, the study was conducted to examine the direct influence of BT on SCI and SSCP and the interactive effect of BT and SCI on SSCP. Based on the dynamic capability theoretical lens, the present study conceptualizes the use of BT as a specific IT resource to collaborate and reconfigure the ties with the upstream and downstream supply chain members to achieve SSCP. The results of the study support the hypothesis stating that BT positively influences the SSCP. The results recognize the role of SCI as a significant mediating variable between the BT and SSCP. The result indicates the strong influence of SCI with full mediation effect on the relationship between the BT and SSCP.Item Open Access A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation(Elsevier, 2020-07-10) Kamble, Sachin S.; Gunasekaran, Angappa; Ghadge, Abhijeet; Raut, RakeshThe smart manufacturing systems (SMS) offer several advantages compared to the traditional manufacturing systems and are increasingly being adopted by manufacturing organizations as a strategy to improve their performance. Developing an SMS is expensive and complicated, integrating together various technologies such as automation, data exchanges, cyber-physical systems (CPS), artificial intelligence, internet of things (IoT), and semi-autonomous industrial systems. The Small, Medium and Micro Enterprises (SMMEs) have limited resources and therefore, would like to see the benefits from investments before allowing adopting SMS. This study uses a combination of exploratory and empirical research design to identify and validate the performance measures relevant to the evaluation of SMS investments in auto-component manufacturing SMMEs based in India. The study found that an Industry 4.0 enabled SMS offer more competitive benefits compared to a traditional manufacturing system. The planned investments in SMS can be evaluated on ten performance dimensions namely, cost, quality, flexibility, time, integration, optimized productivity, real-time diagnosis & prognosis, computing, social and ecological sustainability. Proposed novel Smart Manufacturing Performance Measurement System (SMPMS) framework is expected to guide the practitioners in SMMEs to evaluate their SMS investments