B
Banita Lal
Researcher at University of Bradford
Publications - 74
Citations - 4401
Banita Lal is an academic researcher from University of Bradford. The author has contributed to research in topics: Context (language use) & Information system. The author has an hindex of 25, co-authored 70 publications receiving 3002 citations. Previous affiliations of Banita Lal include Swansea University & Nottingham Trent 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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An empirical validation of a unified model of electronic government adoption (UMEGA)
Yogesh K. Dwivedi,Nripendra P. Rana,Marijn Janssen,Banita Lal,Michael D. Williams,Marc Clement +5 more
TL;DR: A unified model of e-government adoption (UMEGA) is developed and validated using data gathered from 377 respondents from seven selected cities in India, indicating that the proposed unified model outperforms all other theoretical models, explaining the highest variance on behavioral intention, acceptable levels of fit indices, and significant relationships for each of the seven hypotheses.
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A generalised adoption model for services: A cross-country comparison of mobile health (m-health)
Yogesh K. Dwivedi,Mahmud Akhter Shareef,Mahmud Akhter Shareef,Antonis C. Simintiras,Banita Lal,Vishanth Weerakkody +5 more
TL;DR: The findings suggest that the UTAUT model could partially shape technology artefact behaviour and the extended UTA UT must consider specific determinants relevant to cognitive, affective, and conative or behavioural aspects of citizens.
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Contemporary Trends and Issues in it Adoption and Diffusion Research
TL;DR: Findings suggest that the positivist paradigm, empirical and quantitative research, the survey method and Technology Acceptance Model theory were predominantly used in the body of work examined, revealing clear opportunities for researchers to make original contributions by making greater use of the theoretical and methodological variety available to them and reducing the risk of research in the area moving toward overall homogeneity.