Dr. Somen Dey


Dr. Somen Dey

Assistant Professor
School of Management Studies
Motilal Nehru National Institute of Technology Allahabad, Prayagraj, India-211004
E-mail: somen[at]mnnit[dot]ac[dot]in
Telephone: 7761923480(O)

Research Publications


Books:

Dey, S. , Kumar, V. , Pratihar, D. K., Islam Sardar, M. N. , Singh, V. P. (Eds) Advancing Healthcare Through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics. Elsevier (Under Process Tentative Publication Date: 1st March 2025, ISBN: 9780443264801)

Book Chapter:

Dey, S. (2020). Developing a framework to provide technological solutions for implementing green supply chain. In Mangla, S. K., and Ram, M. (Eds). Supply Chain Sustainability, Berlin, Boston: De Gruyter. Available From: De Gruyter https://doi.org/10.1515/9783110628593 (Scopus Indexed)
Das A., Dey S. (2021) Forecasting Long-term Electricity Demand: Evolution from Experience-Based Techniques to Sophisticated Artificial Intelligence (AI) Models. In: Patnaik S., Tajeddini K., Jain V. (eds) Computational Management. Modeling and Optimization in Science and Technologies, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-030-72929-5_27 (Scopus Indexed)
Dey, S., Sharma, R.R.K. (2023). Mapping Information Systems Flexibility with Organization’s Manufacturing Strategy. In: Patnaik, S., Pallotta, V., Tajeddini, K. (eds) Global Trends in Technology Startup Project Development and Management. Innovation, Technology, and Knowledge Management. Springer, Cham. https://doi.org/10.1007/978-3-031-40324-8_5
Fatima, A., Dey, S., and Jha, A. (2024). Blockchain in Healthcare: Unveiling Trends and Applications through Bibliometric and Thematic Analysis. Dey, S. , Kumar, V. , Pratihar, D. K., Islam Sardar, M. N. , Singh, V. P. (Eds) Advancing Healthcare Through Decision Intelligence: Machine Learning, Robotics, and Analytics in Biomedical Informatics. Elsevier (Accepted and Forthcoming)

Journals:

Dey, S. and Chakraborty, S. (2015). Parameter selection in non-traditional machining processes using a data mining approach. Decision Science Letters. Vol. 4, No. 2, pp. 211-226. DOI: https://doi.org/10.5267/j.dsl.2014.12.001
Dey, S. and Chakraborty, S. (2015). Forward and reverse mapping for WEDM process using artificial neural networks. Decision Science Letters. Vol. 4, No. 3, pp. 277-288. DOI: https://doi.org/10.5267/j.dsl.2015.4.008
Dey, S., Sharma, R. R. K. and Pandey, B. K. (2019). Relationship of manufacturing flexibility with organizational strategy. Global Journal of Flexible Systems Management. Springer. Vol 20, No. 3, pp. 237-256. DOI: 10.1007/s40171-019-00212-x

Conference Proceedings:

Sharma, R. A., Sharma, R. R. K., Dey, S., Singh, M. and Singh, S. P. (2017). Relating strategy of the organizations to its pursued manufacturing flexibility strategy. Proceedings of the 7th International Conference on Industrial Engineering and Operations Management, IEOM 2017, Rabat Morocco, ISBN: 978-098554976-3, pp. 46-53.
Dey, S. and Sharma, R. R. K. (2017). Relating flexibility of information systems to different planning process styles, information systems architecture and strategy of the organization. Proceedings of the 7th International Conference on Industrial Engineering and Operations Management, IEOM 2017, Rabat Morocco, ISBN: 978-098554976-3, pp. 759-768.
Dey, S. and Sharma, R. R. K. (2018). Additive and digital manufacturing: Implications for organizational strategy and structure. Proceedings of the 8th International Conference on Industrial Engineering and Operations Management IEOM 2018, Bandung Indonesia, ISBN: 978-153235944-6, pp. 826-833.
Dey, S. and Sharma, R. R. K. (2018). Exploring the synergistic nature of combinations of various functional flexibility of manufacturing organizations. Proceedings of the 8th International Conference on Industrial Engineering and Operations Management IEOM 2018, Bandung Indonesia, ISBN: 978-153235944-6, pp. 834-845.
Dey, S. and Sharma, R. R. K. (2018). Strategic alignment of information systems flexibility with organization’s operational and manufacturing philosophy: Developing a theoretical framework. Proceedings of the 2nd IEOM European Conference on Industrial Engineering and Operations Management, Paris France, ISBN: 978-1-5323-5945-3, pp. 381-391.
Sharma, R. R. K. and Dey, S. (2018). Technology transfer (TT): For modular and architectural innovation. Proceedings of the International Conference on Management and Information Systems (ICMIS), Bangkok, ISBN 978-1-943295-12-8, pp. 2-5.
Sharma, R. R. K. and Dey, S. (2018). Managing tacit and explicit knowledge. Proceedings of the International Conference on Management and Information Systems (ICMIS), Bangkok. ISBN 978-1-943295-12-8, pp. 15-20.
Sharma, R. R. K., Drave, V. and Dey, S. (2018). Relating supply chain attributes to its strategy. Proceedings of the International Conference on Management and Information Systems (ICMIS), Bangkok. ISBN 978-1-943295-12-8, pp.6-7.
Dey, S. and Yadav, K. (2022) Relating Sustainable Supply Chain Performance (SSCP), Big Data Analytics (BDA), and Green Human Resource Management (GHRM) Practices. 2nd Indian International Conference on Industrial Engineering and Operations Management (IEOM), NIT Warangal, India
Fatima, A. and Dey, S. (2022) Exploring the Critical Success Factors (CSFs) and Barriers to the Adoption of Blockchain in Financial Services. 2nd Indian International Conference on Industrial Engineering and Operations Management (IEOM), NIT Warangal, India
Rajak, M., Dey, S. and Sahu, G. P. (2022) Exploring the Critical Success Factors (CSFs) and Barriers to Adoption of ICTs in Corporate Financial Services. 2nd Indian International Conference on Industrial Engineering and Operations Management (IEOM), NIT Warangal, India