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Amit Kumar Bhardwaj
Researcher at Thapar University
Publications - 22
Citations - 218
Amit Kumar Bhardwaj is an academic researcher from Thapar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 6, co-authored 19 publications receiving 90 citations. Previous affiliations of Amit Kumar Bhardwaj include University of Manitoba.
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The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward
TL;DR: Recommendations on role based training for Cloud services users, proactive management of Cloud services and implementation of information systems governance policies are recommended to address concerns about the reliability of Cloud Service providers and lack of skills in cloud computing.
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Determinants of Blockchain Technology Adoption in Supply Chains by Small and Medium Enterprises (SMEs) in India
TL;DR: In this article, the authors examined the factors influencing the intention of small and medium enterprises (SMEs) in India to adopt blockchain technology in their supply chains and proposed an integrated technology adoption framework consisting of the Technology Acceptance Model (TAM), Diffusion of Innovation (DOI), and Technology-Organization Environment (TOE).
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Research Trends in Green Product for Environment: A Bibliometric Perspective.
TL;DR: The data analysis indicates that the field of green products has experienced significant growth since 1964, especially in the last 14 years, and the United States is the leading country in terms of publications and citations.
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Examining continuance intention in business schools with digital classroom methods during COVID-19: a comparative study of India and Italy
TL;DR: In this paper, the continuance intention of full-time business school students and faculty in India and Italy who moved from traditional pedagogy style to the digital classroo-...
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Rumor, misinformation among web: A contemporary review of rumor detection techniques during different web waves
TL;DR: A holistic view of different web waves from web 1.0 to web 5.0 is provided and taxonomy describes various malicious information contents at different stages to make online information more trustworthy for knowledge sharing and decision‐making purposes.