Research Areas
I'm most recognized for my work on behavioral, organizational, and social consequences of information technology (IT) use. My MIS Quarterly paper on IT discontinuance was cited over 10,000 times. In 2019, I was awarded the Stafford Beer Medal by the Operational Research Society, United Kingdom for my research on technology resistance in organizations. More recently, I have published research on misinformation in the media space, and I continue to work in mental health research.
However, my most recent research projects involve designing computational methods to solve important business and social problems. In one project, we examined the use of artificial intelligence/machine learning (AI/ML) to reinvent the way we do qualitative research, in which we develop a computational framework called Automated Deductive Content Analysis of Text that uses deep learning-based semantic techniques, ontology of validated construct measures, large language model, human-in-the-loop disambiguation, and a novel augmentation-based weighted contrastive learning approach to build a scalable approach for deductive content analysis of large text documents like corporate 10-K reports. In another project, we use data from a clinical psychiatric evaluation instrument (SCL-10-R) to create explanatory AI (XAI) approaches like SHAP, LIME, and our own Shapley Radiation technique to create images to map, diagnose, and explain ten different mental disorders, including complex multiple disorder cases with overlapping symptoms. Almost 1 billion people worldwide live with mental disorders, the vast majority of whom are not diagnosed or treated, given one mental health clinician for every 100,000 people in many countries; we hope that our algorithm can vastly scale up the screening of mental disorders and help mental health clinicians manage their exploding workload after the COVID pandemic.
However, my most recent research projects involve designing computational methods to solve important business and social problems. In one project, we examined the use of artificial intelligence/machine learning (AI/ML) to reinvent the way we do qualitative research, in which we develop a computational framework called Automated Deductive Content Analysis of Text that uses deep learning-based semantic techniques, ontology of validated construct measures, large language model, human-in-the-loop disambiguation, and a novel augmentation-based weighted contrastive learning approach to build a scalable approach for deductive content analysis of large text documents like corporate 10-K reports. In another project, we use data from a clinical psychiatric evaluation instrument (SCL-10-R) to create explanatory AI (XAI) approaches like SHAP, LIME, and our own Shapley Radiation technique to create images to map, diagnose, and explain ten different mental disorders, including complex multiple disorder cases with overlapping symptoms. Almost 1 billion people worldwide live with mental disorders, the vast majority of whom are not diagnosed or treated, given one mental health clinician for every 100,000 people in many countries; we hope that our algorithm can vastly scale up the screening of mental disorders and help mental health clinicians manage their exploding workload after the COVID pandemic.
Key Publications
- Bhattacherjee, A. (forthcoming). Can Corrective Fact-Checking Influence User Beliefs About Online Misinformation Claims: An Examination of Contingent Effects. MIS Quarterly, Accepted Feb 13, 2023.
- 3Mou, J., Cohen, J., and Bhattacherjee, A. (2022). A Test of Protection Motivation Theory in the Information Security Literature: A Meta-Analytic Structural Equation Modeling Approach. Journal of the Association of Information Systems (23:1), 196-236.
- Bhattacherjee, A. and Shrivastava, U. (2018). The Effects of ICT Use and ICT Laws on Corruption: A General Deterrence Theory Perspective. Government Information Quarterly (35), 703-712.
- Bhattacherjee, A., Davis, C., Connolly, A., and Hikmet, N. (2018). User Reactions to Mandatory IT Use: A Coping Theory Perspective. European Journal of Information Systems (27:4), 395-414. [Awarded Stafford Beer Medal for Best Paper published in EJIS in 2018]
- Huang, M., Bhattacherjee, A., and Wong, C.S. (2018). Gatekeepers’ Innovative Use of IT: An Absorptive Capacity Model at the Unit Level. Information & Management (55), 235-244.
Song, J., Baker, J., Wang, Y., Choi, H., and Bhattacherjee, A. (2018). Platform Adoption by Mobile Application Developers. Decision Support Systems (107:C), 26-39.
Daniel, S., Midha, V., Bhattacherjee, A., and Singh, S. (2018). Sourcing Knowledge in Open Source Software Projects: The Impacts of Internal and External Social Capital on Project Success. Journal of Strategic Information Systems (27), 237-256. - Bhattacherjee, A. and Lin, C. P. (2015). A Unified Model of IT Continuance: Three Complementary Perspectives and Crossover Effects.European Journal of Information Systems (24), 364-373.
- Teo, T. S. H. and Bhattacherjee, A. (2014). Knowledge Transfer and Utilization in IT Outsourcing Partnerships: A Preliminary Model of Antecedents and Outcomes. Information & Management (51:2), 177-186.
- Bhattacherjee, A. and Park, S. C. (2014). Why End-Users Move to the Cloud: A Migration-Theoretic Analysis. European Journal of Information Systems (23), 357-372.
- Teo, T. S. H. and Bhattacherjee, A. (2014). Knowledge Transfer and Utilization in IT Outsourcing Partnerships: A Preliminary Model of Antecedents and Outcomes. Information & Management (51:2), 177-186.
- Midha, V. and Bhattacherjee, A. (2012). Governance Practices and Software Maintenance: A Study of Open Source Projects. Decision Support Systems (54:1), 23-32.
- Bhattacherjee, A., Limayem, M., and Cheung, C. (2012). User Switching of Information Technology: A Theoretical Synthesis and Empirical Test. Information & Management (49:7/8), 327-333.
- Kayhan, V. O., McCart, J., and Bhattacherjee, A. (2010). Cross-Bidding in Simultaneous Online Auctions: Antecedents and Consequences. Information & Management (47:7-8), 325-332.
- Lin, C. P. and Bhattacherjee, A. (2010). Extending Technology Usage Models to Interactive Hedonic Technologies: A Theoretical Model and Empirical Test. Information Systems Journal (20:2), March 2010, 163-181.
- Gill, T. G. and Bhattacherjee, A. (2009). Fashion Waves versus Informing: Response to Baskerville and Myers. MIS Quarterly (33:4), 667-671 (Invited Article).
- Sun, Y., Bhattacherjee, A., and Ma, Q. (2009). Extending Technology Usage to Work Settings: The Role of Perceived Work Compatibility in ERP Implementation. Information & Management (46:6), 351-356.
- Gill, G. and Bhattacherjee, A. (2009). Who Are Who Informing? Issues And Recommendations Regarding MIS Research as an Informing System. MIS Quarterly (33:1), 217-235.
- Bhattacherjee, A. and Hikmet, N. (2007). Physicians’ Resistance toward Healthcare Information Technology: A Theoretical Model and Empirical Test. European Journal of Information Systems (16), 725-737.
- Karimi, J., Somers, T., and Bhattacherjee, A. (2007). The Role of Information Systems Resources in ERP Capability Building and Business Process Outcomes. Journal of Management Information Systems (24:2) 225-265.
- Karimi, J., Somers, T., and Bhattacherjee, A. (2007). The Impact of ERP Implementation on Business Process Outcomes: A Factor-Based Study. Journal of Management Information Systems (24:1), 101-134.
- Bhattacherjee, A. and Sanford, C. (2006). Influence Strategies for Information Technology Usage: An Elaboration-Likelihood Model. MIS Quarterly (30:4), 805-825.
- Bhattacherjee, A. and Premkumar, G. (2004). Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test. MIS Quarterly (28:2), 229-254.
- Bhattacherjee, A.(2002). Individual Trust in Online Firms: Scale Development and Initial Test. Journal of Management Information Systems (19:1), 211-241.
- Bhattacherjee, A. (2001). An Empirical Analysis of the Antecedents of Electronic Commerce Service Continuance. Decision Support Systems (32:2), 201-214.
- Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model.MIS Quarterly (25:3), 351-370.
- Karimi, J.; Bhattacherjee, A.; Gupta, Y. P.; and Somers, T. M. (2000). The Effects of MIS Steering Committees on Information Technology Management Sophistication. Journal of Management Information Systems (17:2), 207-230.
- Bhattacherjee, A., (2000). Acceptance of E-Commerce Services: The Case of Electronic Brokerages. IEEE Transactions on Systems, Man, and Cybernetics – Part A: Systems and Humans (30:4), 411-420.
- Parthasarathy, M. and Bhattacherjee, A. (1998). Understanding Post-Adoption Behavior in the Context of Online Services. Information Systems Research (9:4), 362-379.
- Bhattacherjee, A. (1998). Intraorganizational Use of Information Technology: A Principal-Agent Model. Decision Sciences (29:1), 139-162.
- Bhattacherjee, A. (1998). Management of Emerging Technologies: Experiences and Lessons Learned at U S WEST. Information & Management (33:5), 263-272.
