shan

Prof. (Dr). Shankhadeep Banerjee

Assistant Professor

B.Tech (National Institute of Technology);
PGDM (IIM Calcutta);
FPM (IIM Calcutta)

Prof. (Dr.) Shankhadeep Banerjee submitted his PhD thesis on technology crowdfunding in the area of Management Information Systems at the Indian Institute of Management Calcutta (IIM-C). He has an MBA degree from IIM-C, and a B.Tech degree in Computer Science and Engineering from National Institute of Technology (Durgapur). He successfully completed International Management Programme at NEOMA Business School, France. He also has many years of work experience at reputed organizations like Microsoft, Computer Sciences Corporation (client: eBay), Amazon, and the Indian School of Business.

 

His research interests lie largely in the domain of human psychology and behavior related to contemporary technologies, and he has conducted studies in areas like: crowdfunding behavior, user behavior in online review communities, e-tailing adoption, etc. His methodological preference is quantitative with mostly empirical and experimental research designs, and he also utilizes latest data analytics and machine learning techniques in research. His teaching interests include Emerging Technologies, Digital Product Management, Technopreneurship, etc.

 

He has published in reputed journals like Journal of Management Information Systems (FT 50, ABDC A*), Decision Support Systems (ABDC A*), and Information & Management (ABDC A*). His research has been presented at several prestigious conferences like International Conference on Information Systems (ICIS), Australasian Conference on Information Systems (ACIS), PAN-IIM World Management Conference, etc. He has also reviewed papers for journals like Information & Management (ABDC A*), Information Systems Frontier (ABDC A), Internet Research (ABDC A), etc. His research article on smart cities received national press coverage in Economic Times, Financial Express, etc.

 

He won the Doctoral Student Scholarship 2016 at DIGIT Workshop (Dublin, Ireland), received Best Theory Development Paper nomination at ICIS 2017 (Seoul, South Korea), and won the Best Paper Award (2nd) at the 5th Management Doctoral Colloquium 2019 (IIT Kharagpur). His academic achievements include cracking the tough IIT-JEE exam (All India Rank 3539), and securing All India Rank 1 (Incoming Batch) among 240K aspirants for MBA admissions at IIM Calcutta.

 

When he is not working, he likes to indulge himself in meditation and spiritual philosophy, travelling across the globe, reading books and manga, binge-watching movies and TV-series, etc.

Journals

  1. Bhattacharyya, S., Banerjee, S., & Bose, I. (2020). Temporal effects of repeated recognition and lack of recognition on online community contributions. Journal of Management Information Systems. (FT 50, ABDC A*)
  2. Bhattacharyya S., Banerjee S., and Bose I. (2019). One size does not fit all: Rethinking recognition system design for behaviorally heterogeneous online communities. Information & Management. (ABDC A*)
  3. Banerjee, S., Bhattacharyya, S., & Bose, I. (2017). Whose online reviews to trust? Understanding reviewer trustworthiness and its impact on business. Decision Support Systems, 96, 17-26. (ABDC A*)

 

Conference Proceedings

  1. Banerjee S., and Bose I. (2018). Risky donation for rewarding innovation? Examining transformation of technology consumers into crowdfunding patrons. Proceedings of Australasian Conference on Information Systems (ACIS), Dec 2018, Sydney, Australia
  2. Banerjee S., and Bose I. (2017). Patronizing technology: An emergent technophilic behavior, Proceedings of International Conference on Information Systems (ICIS). Dec 2017, Seoul, South Korea
  3. Bhattacharyya S., Banerjee S., and Bose I. (2017). Segmenting an online reviewer community: Empirical detection and comparison of reviewer clusters. Proceedings of Australasian Conference on Information Systems (ACIS), Dec 2016, Tasmania, Australia
  • Domain: Human psychology and behavior related to contemporary technologies
  • Sub-domains: Crowdfunding, Online reviews, Virtual communities, Technology adoption, etc.
  • Methodology: Quantitative (Empirical, Experiments, Analytics/Machine Learning)
  • Emerging Technologies, Digital Product Management, Technopreneurship, Data Analytics, E-Commerce, E-Governance
  • Won the Best Paper Award (2nd across all disciplines) at the 5th Management Doctoral Colloquium 2019, VGSOM, IIT Kharagpur
  • Won the Doctoral Student Scholarship 2016 (approximately US$ 1000) at DIGIT Workshop in Dublin
  • Received the Best Theory Development Paper award nomination at International Conference on Information Systems (ICIS) 2017, Seoul, South Korea