GK
Gaurav Kabra
Fore School of Management, O. P. Jindal Global University, Indian Institute of Technology Roorkee, Atal Bihari Vajpayee Indian Institute of Information Technology and Management
About
Dr. Gaurav Kabra
Associate Professor, Operations and Supply Chain Management
FORE School of Management, New Delhi, India
Email: [email protected]
Mobile: +91-7579079611
Employment
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Fore School of Management Associate Professor2025 - Present
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O. P. Jindal Global University Associate Professor2021 - 2025
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National Institute of Industrial Engineering Assistant Professor2018 - 2021
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Xavier Institute of Management Assistant Professor2016 - 2018
Education
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Indian Institute of Technology Roorkee PhD2013 - 2016
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Atal Bihari Vajpayee Indian Institute of Information Technology and Management Integrated Post graduate B. tech (IT) and MBA2006 - 2011
Projects & Funding
Projects & funding information is unavailable.
Publications (54)
- Sustainable digital health: integrating AI and circular economy principles Save
- From themes to impact: exploring humanitarian supply chain performance through structural topic modeling and meta-analysis Save
- “I exist because I adapt”: Evolving technology HR themes, HR roles with STARA competencies for performance Save
- Analyzing barriers to design thinking adoption within organizations: a DEMATEL approach Save
- Echoes of the group: how group conspiracy mentality and fake news shape customer uncertainty and risk perception in a supply chain context Save
- Burden to be Better in the Era of AI: Assessment of Barriers to GenAI Adoption Among NGOs Save
- Relationship between technological, organizational, environmental factors affecting design thinking adoption in organizations Save
- Mapping the Domain of Smart Tourism: Bibliometric Insights and Literature Review Save
- Factors affecting social media adoption in non-governmental organisations in disaster preparedness phase: insights from the technology-organization-environment framework Save
- Discovering Latent Topics and Trends in Digital Technologies and Disaster Management Research: A Structural Topic Modeling Approach Save