Department of Management

Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1930

Browse

Subject: search.filters.subject.Automobile industry

Search Results

Now showing 1 - 4 of 4
  • No Thumbnail Available
    Item
    Value Chain Benefits Estimation Due To Supply Chain Finance Adoption-A Simulation Study
    (IEEE, 2022) Matai, Rajesh
    Supply Chain Finance is a solution that has the potential to render benefits to all the value chain participants if adopted appropriately. This study attempts to simulate the range of benefits that the value chain players situated at different tiers in the Indian Auto industry can expect with SCF solution adoption. The study’s objective is to help accelerate the adoption of SCF to support deeper-tiered firms, which aligns with the AtmaNirbhar Bharat initiative. Reliable secondary financial data is used for the analysis while being cognizant of the market rates of cost of debts for various tiers of the value chain for benefit simulation. Our study identified areas that can contribute to the value case and successfully simulates benefits for all the players. Such studies provide confidence to the Indian auto industry to embrace the SCF solutions at scale, benefiting the entire value chain. This study provides evidence in linking SCF solution capabilities to organizational financial effectiveness.
  • No Thumbnail Available
    Item
    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.
  • No Thumbnail Available
    Item
    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.
  • No Thumbnail Available
    Item
    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.