Department of Management

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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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    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.