Department of Management

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Author: search.filters.author.Sharma, Satyendra KumarSubject: search.filters.subject.Automobile industry

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    An Empirical Study on Supply Chain Risk Management Strategies in Indian Automobile Industry
    (SSRN, 2015-08) Sharma, Satyendra Kumar; Bhat, Anil Kumar; Routroy, Srikanta
    Supply chain disruptions, major or minor, have affected supply chains negatively. Literature shows that supply chain disruptions also lead to reduction in shareholder value. Supply Chain Risk Management (SCRM) has become a concern for boardrooms, and companies have started to think how they can better manage their supply chains to survive and continue operations. This paper provides insights into SCRM in Indian automobile sector. Strategies used to deal with supply chain risks are explored in this paper. First a taxonomy is suggested based on the review of the extant literature, i.e., proactive strategies, coping strategies, aligning strategies, early warning strategies and survival strategies. These strategies are then empirically tested in the context of Indian automobile industry. A total SCRM strategy index is calculated and the status of Indian automobile industry in SCRM is discussed.
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    Development of an automobile industry risk index
    (Inder Science, 2019-11) Sharma, Satyendra Kumar
    The aim of this research is to construct a Bayesian belief network (BBN) model, which encompasses all the risk factors relevant to the Indian automotive sector that can give a fair, empirical idea as to how much the risk factors drive down the gross turnover of the industry. The BBN model is used to gauge business, economic and external risks and evaluate its impact on gross turnover of the industry. Empirical model draws a lot of implications to streamline the risk effects in the industry, but it clearly shows that the three factors - business risks, economic risks and external risks are not entirely independent and are positively correlated with each other. Bayesian networks provide a very useful risk assessment tool that takes into account the advantages of both quantitative and qualitative risk assessment methods. This is a novel, empirical effort to provide a generalised model to integrate all risks - domestic, global, economic, legal - relevant to the automotive industry.
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    An empirical investigation of the contribution of supply chain design characteristics on supply chain risks in Indian automobile industry
    (Inder Science, 2012) Sharma, Satyendra Kumar; Bhat, Anil Kumar
    The importance of supply chain risk management is attracting the attention of academicians and business managers globally. As companies experience globalisation and cut throat competition, companies are forced to adopt measures to contain risk due to their supply chain design characteristics. The purpose of this paper is to identify supply chain design characteristics and investigate their relationship with overall supply chain risk. This research presents the empirical investigation of supply chain risk drivers. Analysis of responses from 102 executives from Indian automobile industry, give an insight into the relationship between key supply chain risk drivers viz. (supply chain complexity, focus on efficiency, dependence on few members and node criticality), and supply chain risks.