H
Haritha Saranga
Researcher at Indian Institute of Management Bangalore
Publications - 43
Citations - 1823
Haritha Saranga is an academic researcher from Indian Institute of Management Bangalore. The author has contributed to research in topics: Data envelopment analysis & Emerging markets. The author has an hindex of 19, co-authored 42 publications receiving 1523 citations. Previous affiliations of Haritha Saranga include Indian Institute of Management Ahmedabad & Indian Institute of Technology Bombay.
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Catch-up strategies in the Indian auto components industry: Domestic firms’ responses to market liberalization
TL;DR: In this article, the authors study how domestic supplier firms may adapt and continue to perform, as market liberalization progresses, through catch-up strategies aimed at integrating with the industry's global value chain.
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Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation
R. Sreedevi,Haritha Saranga +1 more
TL;DR: In this paper, the authors investigate the relationship between environmental uncertainty and supply chain risk and the moderating effect of supply chain flexibility and identify appropriate types of flexibility to mitigate the three major aspects of risk: supply risk, manufacturing process risk and delivery risk.
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Sustainable supply chains for supply chain sustainability: impact of sustainability efforts on supply chain risk
TL;DR: It is found that, while reactive risk mitigation strategies on their own fail to reduce supply chain risk, they are effective when used in conjunction with sustainability efforts, and preventive risk mitigation efforts are only effective in mature supply chains such as the OECD countries.
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Six sigma project selection using data envelopment analysis
TL;DR: The aim is to develop a mathematical model to select one or more six sigma projects that result in the maximum benefit to the organization that will improve the overall customer satisfaction called Big Q projects.
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The Indian auto component industry – Estimation of operational efficiency and its determinants using DEA
TL;DR: The study finds evidence that a majority of the inefficient firms are operating in the diminishing returns to scale region and demonstrates potential savings through benchmark input targets and the need to reform labour laws which are significantly contributing to various inefficiencies in the Indian component industry.