B
Bhaskar B. Gardas
Researcher at M. H. Saboo Siddik College of Engineering
Publications - 64
Citations - 2382
Bhaskar B. Gardas is an academic researcher from M. H. Saboo Siddik College of Engineering. The author has contributed to research in topics: Supply chain & Sustainability. The author has an hindex of 21, co-authored 57 publications receiving 1368 citations. Previous affiliations of Bhaskar B. Gardas include Veermata Jijabai Technological Institute.
Papers
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Linking big data analytics and operational sustainability practices for sustainable business management
Rakesh D. Raut,Sachin Kumar Mangla,Vaibhav S. Narwane,Bhaskar B. Gardas,Pragati Priyadarshinee,Balkrishna E. Narkhede +5 more
TL;DR: In this article, a hybrid Structural Equation Modelling - Artificial Neural Network model is used to analyse 316 responses of Indian professional experts to predict sustainable business performance through big data analytics in the context of developing countries.
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To identify the critical success factors of sustainable supply chain management practices in the context of oil and gas industries: ISM approach
TL;DR: In this article, the authors present an approach to identify the critical success factors (CSFs) of motivation and encouragement, for the successful implementation of sustainable supply chain management (SSCM) practices in Indian oil and gas industries.
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Understanding and predicting the determinants of cloud computing adoption
TL;DR: This research article proposes a new paradigm by extending the Technology Organization Environment Model (TOE) with external factors, namely, perceived IT security risk and risk analysis for the first time in a technology adoption study to predict motivators affecting cloud computing adoption services in the Indian private organizations.
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Evaluating critical causal factors for post-harvest losses (PHL) in the fruit and vegetables supply chain in India using the DEMATEL approach
TL;DR: In this paper, the authors identify and model the critical causal factors of post-harvest losses in the fruit and vegetable (F&V) supply chain in India, with the help of a detailed literature review and expert opinions.
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Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach
TL;DR: This study proposed new determinants, namely risk analysis and perceived IT security risk as an extension of the Technology Organization Environment (TOE) model to guide the decision and policy-makers for easy evaluation of their organizational goals for choosing the most suitable computing environment for improving the efficiency and effectiveness of their business performance.