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Sujeet Kumar Sharma
Researcher at Indian Institute of Management Tiruchirappalli
Publications - 63
Citations - 3933
Sujeet Kumar Sharma is an academic researcher from Indian Institute of Management Tiruchirappalli. The author has contributed to research in topics: Technology acceptance model & Computer science. The author has an hindex of 24, co-authored 53 publications receiving 2209 citations. Previous affiliations of Sujeet Kumar Sharma include Indian Institute of Management Ahmedabad & Sultan Qaboos University.
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Artificial Intelligence (AI) : Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy
Yogesh K. Dwivedi,Laurie Hughes,Elvira Ismagilova,Gert Aarts,Crispin Coombs,Tom Crick,Yanqing Duan,Rohita Dwivedi,John S. Edwards,Aled Eirug,Vassilis Galanos,P. Vigneswara Ilavarasan,Marijn Janssen,Paul Jones,Arpan Kumar Kar,Hatice Kizgin,Bianca Kronemann,Banita Lal,Biagio Lucini,Rony Medaglia,Kenneth Le Meunier-FitzHugh,Leslie Caroline Le Meunier-FitzHugh,Santosh K. Misra,Emmanuel Mogaji,Sujeet Kumar Sharma,Jang Bahadur Singh,Vishnupriya Raghavan,Ramakrishnan Raman,Nripendra P. Rana,Spyridon Samothrakis,Jak Spencer,Kuttimani Tamilmani,Annie Tubadji,Paul Walton,Michael D. Williams +34 more
TL;DR: This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.
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Impact of COVID-19 pandemic on information management research and practice: Transforming education, work and life
Yogesh K. Dwivedi,D. Laurie Hughes,Crispin Coombs,Ioanna D. Constantiou,Yanqing Duan,John S. Edwards,Babita Gupta,Banita Lal,Santosh K. Misra,Prakhar Prashant,Ramakrishnan Raman,Nripendra P. Rana,Sujeet Kumar Sharma,Nitin Upadhyay +13 more
TL;DR: This study offers a collective insight to many of the key issues and underlying complexities affecting organisations and society from COVID-19, through an information systems and technological perspective.
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Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation
TL;DR: Satisfaction and intention to use stand as two important precedents of actual usage of m-banking, and the satisfaction also mediates the relationship between service quality, information quality and trust with intention toUse m- banking and negates with that of system quality.
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A multi-analytical approach to predict the Facebook usage in higher education
TL;DR: This is the first study which analyzed Facebook adoption for academic purposes by using a linear and nonlinear modelling and showed that resource sharing is the most influencing determinant in the decision of Facebook usage in higher education, followed by perceived usefulness, perceived enjoyment, collaboration and social influence.
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Predicting motivators of cloud computing adoption
TL;DR: A hybrid model including Multiple Linear Regression and Neural Network Modeling is proposed to predict motivators influencing the adoption of cloud computing services by information technology (IT) professionals and a new construct, "job opportunity" is introduced.