Pankush Kalgotra

Pankush Kalgotra earned his PhD in Management Science and Information Systems from Oklahoma State University. He has an MS in Management Information Systems from Oklahoma State University and a BTech in Information Technology from National Institute of Technology Raipur in India. 

His research interests include healthcare analytics, network science, neuroimaging in information systems and the dark side of information technology. His recent articles have appeared in journals such as Journal of Management Information Systems, European Journal of Information Systems, Decision Support Systems, Journal of Business Research, Nature’s Scientific Reports and others.

Selected Journal Publications

Davazdahemami, B., Kalgotra, P., Zolbanin, H., Delen, D. (2023). A Developer-Oriented Recommender Model for the App Store: A Predictive Network Analytics Approach. Journal of Business Research, 158, 113649. https://doi.org/10.1016/j.jbusres.2023.113649

Liu, S, Wei, C., Kalgotra, P., Cobanoglu, C. (2022). Seeing is believing? Data mining to create a choice-based conjoint approach for restaurant mobile marketing. International Journal of Hospitality Management, 104, 103248. https://doi.org/10.1016/j.ijhm.2022.103248

Baham, C., Kalgotra, P., Nasir, F., Sharda, R. (2022). Generational differences in handling technology interruptions: A qualitative study. European Journal of Information Systems. https://doi.org/10.1080/0960085X.2022.2070557

Kalgotra, P., Sharda, R. (2021). When will I get out of the Hospital? Modeling Length of Stay Using Comorbidity Networks. Journal of Management Information Systems, 38(4), 1150-1184. https://doi.org/10.1080/07421222.2021.1990618

Kalgotra, P., Gupta, A., Sharda, R. (2021). Pandemic Information Support Lifecycle: Evidence from the evolution of Mobile Apps during COVID-19 pandemic. Journal of Business Research. 134, 540-559. https://doi.org/10.1016/j.jbusres.2021.06.002

Mitra, A., Kalgotra, P.  (2021). Optimal trimming proportion in regression analysis for non-normal distributions. Journal of Business Analytics.  https://doi.org/10.1080/2573234X.2021.2007803

Kalgotra. P., Sharda, R., Croff, J. (2020). Examining Multimorbidity Differences across Racial Groups: A Network Analysis of Electronic Medical Records. Scientific Reports, a Nature Journal, 10, 13538. nature.com/articles/s41598-020-70470-8

Davazdahemami, B., Hammer, B., Kalgotra, P., Luse, A., (2020). From General to Situational Privacy Concerns: A New Mechanism to Explain Information Disclosure in Social Networks. Communications of the Association for Information Systems, 47. https://aisel.aisnet.org/cais/vol47/iss1/26/

Kalgotra, P., Sharda, R., Luse, A. (2020). Which similarity measure to use in network analysis: Impact of sample size on Phi Correlation Coefficient and Ochiai Index. Information Journal of Information Management. 55, 102229.  https://doi.org/10.1016/j.ijinfomgt.2020.102229

Kalgotra. P., Sharda, R., Hammer, B., Albert, D. (2019). Sensor Analytics for Interpretation of EKG Signals. Expert Systems with Applications, 123(1 June 2019), 377-385. https://doi.org/10.1016/j.eswa.2018.12.056

Kalgotra, P., Sharda, R., & McHaney, R. (2019). Don’t Disturb Me! Understanding the Impact of Interruptions on Knowledge Work: An Exploratory Neuroimaging Study. Information Systems Frontiers, 21(5), 1019-1030. https://doi.org/10.1007/s10796-017-9812-9

Kalgotra, P., Sharda, R. (2018) BIARAM: A Process for Analyzing Correlated Brain Regions Using Association Rule Mining. Computer Methods and Programs in Biomedicine, 162(2018) 99-108. https://doi.org/10.1016/j.cmpb.2018.05.001

Kalgotra. P., Sharda, R., Croff, J. (2017). Examining Health Disparities by Gender: A Multimorbidity Network Analysis of Electronic Medical Record. International Journal of Medical Informatics, 108, 22–28. https://doi.org/10.1016/j.ijmedinf.2017.09.014 (Best Paper Award by AIS SIGHealth).