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Prabin Panigrahi

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Name
Prabin Panigrahi
Qualification
PhD, Indian Institute of Technology (IIT), Kharagpur
Contact No.
+91-731-2439547
Email
prabin@iimidr.ac.in

Prabin Kumar Panigrahi is a Professor in Information Systems area at Indian Institute of Management Indore, India. He holds his master’s from National Institute of Technology (NIT), Rourkela, India, and Ph.D. from Indian Institute of Technology (IIT), Kharagpur, India. His current research interests include Social Inclusion of IT/IS, Emerging Technologies, Technology Adoption, Cyber Security, and Artificial Intelligence.

His research work has been published in various journals of repute. He is also a member of the editorial board for International Journal of Business Information Systems, and Journal of Global Information Management. Prof Panigrahi has various professional honors, awards and fellowships both internationally and nationally across teaching, research and industry.  He can be contacted for further information (prabin@iimidr.ac.in)

Publications (Selected )

  1. Eachempati, P., Srivastava, P. R., & Panigrahi, P. K. (2021). Sentiment Analysis of COVID-19 Pandemic on the Stock Market. American Business Review, 24(1), 8.
  2. Panigrahi, R., Srivastava, P. R., & Panigrahi, P. K. (2020). Effectiveness of e-learning: the mediating role of student engagement on perceived learning effectiveness. Information Technology & People. 
  3. Nayak, A. & Panigrahi, P. (2020). “Participation in SHG and Empowerment of Women: A Structural Model Analysis, Journal of Developing Areas, Vol 54, No.1, pp.19-37.
  4. Nayak, A. & Panigrahi,P. (2020). Participation in Self-help Group and Empowerment of Women:  A Structural Model Analysis, Journal of Developing Areas, 54(1), pg.19-37.
  5. Gupta, B. B., Gaurav, A., Panigrahi, P. K., & Arya, V. (2023). Analysis of cutting-edge technologies for enterprise information system and management. Enterprise Information Systems, 2197406.
  6. Gupta, B. B., & Panigrahi, P. K. (2022). Analysis of the Role of Global Information Management in Advanced Decision Support Systems (DSS) for Sustainable Development. Journal of Global Information Management (JGIM), 31(2), 1-13.
  7. Gaurav, A., & Panigrahi, P. K. (2022). Analysis of Security Paradigms for Resource and Infrastructure Management in Global Organizations. Journal of Global Information Management (JGIM), 31(2), 1-11.
  8. Gupta, B. B., Gaurav, A., & Panigrahi, P. K. (2023). Analysis of security and privacy issues of information management of big data in B2B based healthcare systems. Journal of Business Research, 162, 113859.
  9. Behera, R. K., Bala, P. K., Panigrahi, P. K., & Rana, N. P. (2022). Hospitality and COVID-19: a willingness to choose e-consultation owing to unemployment and home isolation. Benchmarking: An International Journal, (ahead-of-print).
  10. Gupta, B. B., Gaurav, A., & Panigrahi, P. K. (2023). Analysis of the development of sustainable entrepreneurship practices through knowledge and smart innovative based education system. International Entrepreneurship and Management Journal, 1-18.
  11. Swain, A. K. P. C., Bouza-Herrera, C. N., Panigrahi, P. K., &  Das, S. (2022). A family of bias reduced ratio-type estimators: simple and stratified random sampling, Revista Investigación Operacional, Vol 43 (5), 560-573.
  12. Gupta, B. B., Gaurav, A., Panigrahi, P. K., & Arya, V. (2023). Analysis of artificial intelligence-based technologies and approaches on sustainable entrepreneurship. Technological Forecasting and Social Change, 186, 122152.
  13. Behera, Rajat; Bala Pradip; Panigrahi, Prabin; Rana P.Nripendra (2023),  “Hospitality and COVID-19: A willingness to choose e-consultation owing to unemployment and home isolation” in its current form for publication in Benchmarking: an International Journal
  14. Gaurav, A., Gupta, B. B., & Panigrahi, P. K. (2022). A novel approach for DDoS attacks detection in COVID-19 scenario for small entrepreneurs. Technological Forecasting and Social Change, 177, 121554
  15. Gaurav, A., Gupta, B. B., & Panigrahi, P. K. (2022). A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system. Enterprise Information Systems, 1-25