S
Sachin Kumar Mangla
Researcher at University of Plymouth
Publications - 175
Citations - 9813
Sachin Kumar Mangla is an academic researcher from University of Plymouth. The author has contributed to research in topics: Supply chain & Sustainability. The author has an hindex of 43, co-authored 120 publications receiving 5203 citations. Previous affiliations of Sachin Kumar Mangla include Graphic Era University & Global University (GU).
Papers
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Benchmarking the logistics management implementation using Delphi and fuzzy DEMATEL
TL;DR: In this paper, the most common (16) CFs were identified and selected through literature and use of the Delphi method to uncover and analyze the critical factors (CFs) related to the implementation of effective logistics management (LM) concept and benchmark the SC performance.
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Lateral inventory share-based models for IoT-enabled E-commerce sustainable food supply networks
TL;DR: In this article, a lateral inventory share-based business model for e-grocery networks where online groceries are interconnected in an Internet of Things (IoT) environment is investigated.
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Mapping the human resource focused enablers with sustainability viewpoints in Indian power sector
Mohit Yadav,Anil Kumar,Sachin Kumar Mangla,Sunil Luthra,Umesh Kumar Bamel,Jose Arturo Garza-Reyes +5 more
TL;DR: In this paper, a model for the enablers of human resource development for sustainability in India power sector is presented, which can help the power sector to enhance human resource capabilities and quality of work life within the organization through provision of a benchmark model and help to accomplish sustainable development initiatives.
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Technological interventions in social business: Mapping current research and establishing future research agenda
TL;DR: In this article, the authors present an in-depth statistical analysis of the literature on technological interventions in sustainable social business, showcasing the development of the scholarship, major themes, and possible future research trajectories.
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Using system dynamics to assess the environmental management of cement industry in streaming data context.
TL;DR: Output of the study is potentially beneficial in guiding governmental decisions to ensure the sustainability of air quality, and the use of the model, future implications of various air quality factors on environmental sustainability can be assessed.