Browsing by Autor "K. Mathiyazhagan"

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Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach
(Taylor & Francis, 2021) Deepak Mathivathanan; K. Mathiyazhagan; Nripendra P. Rana; Sangeeta Khorana; Yogesh K. Dwivedi
Blockchain is an emerging technology with a wide array of potential applications. This technology, which underpins cryptocurrency, provides an immutable, decentralised, and transparent distributed database of digital assets for use by firms in supply chains. However, not all firms are appropriately suited to adopt blockchain in the existing supply chain primarily due to their lack of knowledge on the benefits of this technology. Using Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC), this paper identifies the adoption barriers, examines the interrelationships between them to the adoption of blockchain technology, which has the potential to revolutionise supply chains. The TISM technique supports developing a contextual relationship-based structural model to identify the influential barriers. MICMAC classifies the barriers in blockchain adoption based on their strength and dependence. The results of this research indicate that the lack of business awareness and familiarity with blockchain technology on what it can deliver for future supply chains, are the most influential barriers that impede blockchain adoption. These barriers hinder and impact businesses decision to establish a blockchain-enabled supply chain and that other barriers act as secondary and linked variables in the adoption process.
Evaluation of antecedents to social sustainability practices in multi-tier Indian automotive manufacturing firms
(Taylor & Francis, 2021) K. Mathiyazhagan; Venkatesh Mani; Deepak Mathivathanan; Sonu Rajak
In the current time, social sustainability is directed by market turbulence and growing societal and environmental awareness among customers and employees. Manufacturing industries with multi-tier supply chains, especially in developing nations, such as India, are plagued with various social issues, as it employs large manpower. The present study attempts to identify the key social sustainability practices (SSP) and the method to evaluate SSP in multi-tier manufacturing firms. The approach was pilot tested in Indian manufacturing industry. A total of 16 SSP were identified through the process of literature survey and discussions with the domain experts. Furthermore, based on five practitioners’ inputs, the relationship between various practices of social sustainability is modelled using Total Interpretive Structural Modelling (TISM). The vagueness in the model and identified relationships are compensated by experts’ (practitioners’) validation. The practices are classified on the basis of driving and dependence power by adopting the MICMAC analysis. Customer management, information sharing, corporate sustainability reporting and standardisation, and monitoring practices are found to be the most influential practices that drive social sustainability in multi-tier automotive chains. Production managers could adopt these SSP to establish supply chain social sustainability in multi-tier global supply chains and achieve strategic advantage over others.