K
Kannan Govindan
Researcher at University of Southern Denmark
Publications - 369
Citations - 32959
Kannan Govindan is an academic researcher from University of Southern Denmark. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 83, co-authored 309 publications receiving 23633 citations. Previous affiliations of Kannan Govindan include Chinese Academy of Sciences & Universidade Federal de Santa Catarina.
Papers
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Doing good to be green and live clean! - Linking corporate social responsibility strategy, green innovation, and environmental performance: Evidence from Maldivian and Moroccan small and medium-sized enterprises
TL;DR: In this paper , the authors draw on stakeholder and natural-resources-based view theories to investigate how CSR strategies may improve environmental performance via the underlying mechanism of green innovation (GI), especially in developing countries.
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Fuzzy multi-objective programming: A systematic literature review
TL;DR: In this paper , the authors systematically reviewed and summarized various multi-objective methods applied to the problems with more than one objective in uncertain environments where uncertainty is expressed using fuzzy sets.
Posted Content
GResilient index to assess the greenness and resilience of the automotive supply chain
TL;DR: In this paper, an integrated assessment model is proposed based on Green and Resilient practices to assess the greenness and resilience of automotive companies and corresponding supply chain, which are weighted according to their importance to the automotive supply chain competitiveness.
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Analyzing blight impacts on urban areas: A multi-criteria approach
Ana M.F. Pinto,Fernando Ferreira,Fernando Ferreira,Ronald W. Spahr,Mark A. Sunderman,Kannan Govindan,Kannan Govindan,Kannan Govindan,Ieva Meidutė-Kavaliauskienė +8 more
TL;DR: In this article, an economic, social, and environmental analysis regarding impacts, intermediation and eradication of blight is conducted, which is an important issue since residents of blighted areas live in environments that directly influence their quality of life, values and behaviors.
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A decision support model for selecting unmanned aerial vehicle for medical supplies: context of COVID-19 pandemic
Debapriya Banik,Niamat Ullah Ibne Hossain,Kannan Govindan,Farjana Sultana Nur,Kari Babski-Reeves +4 more
TL;DR: In this paper , a decision support model has been developed to select an optimal drone for two specific scenarios related to medical supplies delivery in urban areas and rural/remote areas based on a set of criteria and sub-criteria critical for successful drone implementation.