Browsing Trinity Business School by Author "Biswas, Baidyanath"
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Analysis of barriers to implement blockchain in industry and service sectors
Biswas, Baidyanath (2019)Blockchain technology holds great potential for industries and services globally by executing transactions in a verifiable and permanent way. It operates as an open distributed ledger that can record transactions between ... -
Disease Topic Modeling of Users' Inquiry Texts: A Text Mining-Based PQDR-LDA Model for Analyzing the Online Medical Records
Biswas, Baidyanath (2023)Disease information mining is one of the critical factors affecting users’ perception of the disease and has attracted extensive attention from the information management community in recent years. If the mined disease ... -
A hybrid framework using explainable AI (XAI) in cyber-risk management for defence and recovery against phishing attacks
Biswas, Baidyanath (2024)Phishing and social engineering contribute to various cyber incidents such as data breaches and ransomware attacks, financial frauds, and denial of service attacks. Often, phishers discuss these attack vectors in dark ... -
The roles of conflict management and psychological empowerment in virtual teams
Biswas, Baidyanath (2023)Purpose: This paper aims to determine the impact of perceived virtuality on team dynamics and outcomes by adopting the Input-Mediators-Outcome (IMO) framework. Further, it also investigates the mediating role of team ... -
Twenty-five Years of the Journal of Global Information Technology Management: A Bibliometric Analysis
Biswas, Baidyanath (2023)The Journal of Global Information Technology Management (JGITM) is an established and globally reputed journal in the Information Technology area, focusing on publishing international IS research. It is international in ... -
What are the significant determinants of helpfulness of online review? An exploration across product-types
Biswas, Baidyanath (2024)This paper proposes a novel empirical framework based on Source Credibility Theory and Cognitive Theory of Multimedia Learning to identify the effect of features (such as review text, review title and reviewer attributes) ...