R
Rameshwar Dubey
Researcher at Liverpool John Moores University
Publications - 147
Citations - 13739
Rameshwar Dubey is an academic researcher from Liverpool John Moores University. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 52, co-authored 147 publications receiving 8834 citations. Previous affiliations of Rameshwar Dubey include South University of Science and Technology of China & Symbiosis International University.
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Big data analytics and firm performance: Effects of dynamic capabilities
Samuel Fosso Wamba,Angappa Gunasekaran,Shahriar Akter,Steven Ji-fan Ren,Rameshwar Dubey,Stephen J. Childe +5 more
TL;DR: The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER and confirm the strong mediating role of PODC in improving insights and enhancing FPER.
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How to improve firm performance using big data analytics capability and business strategy alignment
TL;DR: The results illuminate the significant moderating impact of analytics capability–business strategy alignment on the BDAC–FPER relationship and the value of the entanglement conceptualization of the higher-order BDAC model and its impact on FPER.
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Big data and predictive analytics for supply chain and organizational performance
Angappa Gunasekaran,Thanos Papadopoulos,Rameshwar Dubey,Samuel Fosso Wamba,Stephen J. Childe,Benjamin T. Hazen,Shahriar Akter +6 more
TL;DR: In this article, the authors investigated the impact of big data and predictive analytics (BDPA) assimilation on supply chain (SCP) and organizational performance (OP) and found that connectivity and information sharing under the mediation effect of top management commitment are positively related to BDPA acceptance.
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Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain
TL;DR: The study investigates the impacts of supplier relationship management and total quality management on environmental performance under the influence of leadership and the moderation effect of institutional pressures using a pre-tested structured questionnaire and finds them to be a good fit based on confirmatory factor analysis and fit indices output.
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The role of Big Data in explaining disaster resilience in supply chains for sustainability
Thanos Papadopoulos,Angappa Gunasekaran,Rameshwar Dubey,Nezih Altay,Stephen J. Childe,Samuel Fosso-Wamba +5 more
TL;DR: In this paper, the authors proposed and tested a theoretical framework to explain resilience in supply chain networks for sustainability using unstructured Big Data, based upon 36,422 items gathered in the form of tweets, news, Facebook, WordPress, Instagram, Google+, and YouTube, via responses from 205 managers involved in disaster relief activities in the aftermath of Nepal earthquake.