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Dr. Baidyanath Biswas

Assistant Professor (Trinity Business School)
ARAS AN PHIARSAIGH


Dr Baidyanath Biswas is an Assistant Professor in Business Analytics at Trinity Business School. Before joining Trinity, he was an Assistant Professor at the DCU Business School, Ireland. Baidyanath received his PhD in Information Systems (cybersecurity) from the Indian Institute of Management Lucknow (2019), and his Bachelors in Electronics Engineering from the Bengal Engineering and Science University in India (2005). Baidyanath"s research focuses on business analytics, cybersecurity and IT risk management. His work has appeared in several reputed management journals. Baidyanath is passionate about teaching and has teaching experience at the undergraduate and masters levels. He has previously taught a broad array of modules including Business Analytics, Total Quality Management, E-commerce, Digital Ecosystems and Information Systems Management. Before joining academia, Baidyanath worked for nine years with Infosys and IBM as a mainframe and DB2 specialist.
Details Date
Associate Editor at Electronic Markets (Springer) 2023
Associate Editor at Electronic Commerce Research (Springer) 2023
Language Skill Reading Skill Writing Skill Speaking
Bengali Fluent Fluent Fluent
English Fluent Fluent Fluent
Hindi Basic Basic Medium
Details Date From Date To
LERO Science Foundation Ireland Research Centre for Software 2022
Association for Information Systems 2015
SIGSEC - AIS Special Interest Group on Information Security and Privacy) 2015
IEEE - Institute of Electrical and Electronics Engineers 2017
Boudhayan Ganguly, Pooja Sengupta, Baidyanath Biswas, What are the significant determinants of helpfulness of online review? An exploration across product-types, Journal of Retailing and Consumer Services, 78, 2024, Journal Article, PUBLISHED  TARA - Full Text  DOI
Baidyanath Biswas, Arunabha Mukhopadhyay, Ajay Kumar, Dursun Delen, A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks, Decision Support Systems, 177, 2024, Journal Article, PUBLISHED  TARA - Full Text  DOI
Baidyanath Biswas, The roles of conflict management and psychological empowerment in virtual teams, Information Technology & People, 2023, Notes: [https://doi.org/10.1108/itp-04-2022-0265], Journal Article, PUBLISHED  TARA - Full Text  URL
Baidyanath Biswas, Twenty-five Years of the Journal of Global Information Technology Management: A Bibliometric Analysis, Journal of Global Information Technology Management , 2023, Notes: [https://doi.org/10.1080/1097198X.2023.2235229], Journal Article, PUBLISHED  TARA - Full Text  DOI
Rathore, B., Biswas, B., Gupta, R., Biswas, I., A retrospective analysis of the evolution of ergonomics for environmental sustainability (2011-2021), Ergonomics, 66, (6), 2023, p730-748 , Journal Article, PUBLISHED  DOI
Chatterjee, S., Chaudhuri, R., Kumar, A., Aránega, A.Y., Biswas, B., Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance, Technological Forecasting and Social Change, 186, 2023, Journal Article, PUBLISHED  DOI
Pal, S., Biswas, B., Gupta, R., Kumar, A., Gupta, S., Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach, Journal of Business Research, 156, 2023, Journal Article, PUBLISHED  DOI
Xin Liu; Yanju Zhou; Zongrun Wang; Ajay Kumar; Baidyanath Biswas, Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records, IEEE Transactions on Engineering Management, 2023, Journal Article, PUBLISHED  TARA - Full Text  DOI
Gupta, R., Rathore, B., Biswas, B., Impact of COVID-19 on supply chains: lessons learned and future research directions, International Journal of Quality and Reliability Management, 39, (10), 2022, p2400-2423 , Journal Article, PUBLISHED  DOI
Biswas, B., Sengupta, P., Kumar, A., Delen, D., Gupta, S., A critical assessment of consumer reviews: A hybrid NLP-based methodology, Decision Support Systems, 159, 2022, Journal Article, PUBLISHED  DOI
  

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