A
Abid Haleem
Researcher at Jamia Millia Islamia
Publications - 367
Citations - 13708
Abid Haleem is an academic researcher from Jamia Millia Islamia. The author has contributed to research in topics: Supply chain & Computer science. The author has an hindex of 39, co-authored 304 publications receiving 7178 citations. Previous affiliations of Abid Haleem include National Institute of Technology, Kurukshetra & Apollo Hospital, Indraprastha.
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Barriers to renewable/sustainable energy technologies adoption: Indian perspective
TL;DR: In this article, an attempt has been made to identify and rank the major barriers in the adoption of renewable and green energy technologies in the Indian context, i.e., economic, financial, market, awareness and information, technical, ecological and geographical, cultural and behavioral, and political and government issues.
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Additive manufacturing applications in medical cases: A literature based review
Mohd Javaid,Abid Haleem +1 more
TL;DR: The aim of work is to illustrate the Additive Manufacturing technology as being used in medical and its benefits along-with contemporary and future applications to solve medical problems with extensive benefit to humanity.
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The impacts of critical success factors for implementing green supply chain management towards sustainability: An empirical investigation of Indian automobile industry
TL;DR: In this article, the importance of Critical Success Factors (CSFs) to implement Green Supply Chain Management (GSCM) towards sustainability taking into account the automobile industry of India is explored.
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Significant applications of virtual reality for COVID-19 pandemic.
TL;DR: Virtual Reality technology develops a platform to reduce the face to face interaction of doctors with the infected COVID-19 patients through live video streaming, which helps to improve surveillance systems on the ongoing situation.
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An analysis of interactions among critical success factors to implement green supply chain management towards sustainability: An Indian perspective
TL;DR: A solution methodology based on the Interpretive Structural Modeling (ISM) technique is used to propose a structural model, which not only helps in understanding the contextual relationship among these CSFs, but also in determining their interdependence to implement GSCM towards sustainability.