Dr. Shashi Kant Srivastava
Dr. Shashi Kant Srivastava
Assistant Professor
Information Technology & Systems
Phone:01704-277325
Email:shashikant[dot]srivastava[at]iimsirmaur[dot]ac[dot]in
Academic Qualification: M. Ekistics, FPM (IIM Indore)
Shashi Kant Srivastava is a faculty in the area of IT & Systems at the Indian Institute of Management Sirmaur, India. He received his FPM (Ph.D.) from the Indian Institute of Management Indore, India. His current research interests include blockchain technology, multi-criteria decision making, artificial intelligence, business analytics, and information economics. His papers have appeared in Communications of the Association for Information Systems (CAIS), Journal of Information Technology Theory and Application (JITTA), Information Technology for Development (ITD), Journal of Global Information Technology Management (JGITM), International Journal of Business Intelligence Research (IJBIR), International Journal of Knowledge Management (IJKM), Journal of International Technology and Information Management (JITIM).
- Srivastava, S. K., Das, S., Udo, G. J., & Bagchi, K. (2020). Determinants of Cybercrime Originating within a nation: A cross-country study. Journal of Global Information Technology Management, 23(2), 112-137. [ABDC – B category]
- Srivastava, S. K. (2020). IT Capital in improving national innovation productivity: understanding IT productivity paradox through cognitive path-dependence model. Information Technology for Development, 1-22. [ABDC – B category]
- Srivastava, S. K., & Rastogi, A. (2020) The effect of income, family and socio?religious affiliations on self?rated health of the aged in India. Journal of Public Affairs, e2589. [ABDC – B category]
- Srivastava, S. K., & Panigrahi, P. K. (2019). Social Participation among Elderly: Moderated Mediation Model of Information and Communication Technology (ICT). Communications of the Association for Information Systems, [ABDC – A category]
- Roy, S.N., Srivastava, S. K. & Gururajan R. (2018). Integrating Wearable Devices and Recommendation System: Towards a Next Generation Healthcare Service Delivery. Journal of Information Technology Theory and Application (JITTA), 19 (4), 2. * Professor, University of Southern Queensland, Australia [ABDC – A category]
- Bele, N., Panigrahi, P. K., & Srivastava, S. K. (2018). Knowledge Discovery from Vernacular Expressions: An Application of Social Media and Sentiment Mining. International Journal of Knowledge Management (IJKM), 14(1), 1-18. [ABDC – B category]
- Bele, N., Panigrahi, P. K., & Srivastava, S. K. (2017). Political Sentiment Mining: A New Age Intelligence Tool for Business Strategy Formulation. International Journal of Business Intelligence Research (IJBIR), 8(1), 55-70. [ABDC – C category]
- Srivastava, S. K., & Ray, S. (2016). E-government Services Adoption and Interdependence: Granger Causality Analysis. Journal of International Technology and Information Management, 25(3), 1. [ABDC – C category]
- Srivastava, S. K., & Ray, S. (2016). Disasters and Recommender System: Setting the Research Agenda for Developing Nations. International Journal of Innovation, Management, and Technology, 7(2), 52.
- Srivastava, S. K., & Panigrahi, P. K. (2016). The Impact of E-government and E-business on Economic Performance: A Comparative Study of Developing and Developed Countries. Journal of Contemporary Issues in Business and Government, 22(1), 36-50. [ABDC – C category]
- Srivastava, S. K. (2014). Internet of Things (IoT) and Smart Technologies : Framework of Temporal Data Mining Concerning Smart Meter. Indore Management Journal, 6(2), 47– 55.