Dr. Sonali Shankar has received her doctoral degree in the area of Information Systems from the Indian Institute of Technology (IIT) Delhi. Before joining IIM Sirmaur, Dr. Sonali was an Assistant Professor at Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, in its Information Systems & Analytics domain. During her Ph.D., Dr. Sonali worked on the application of information systems for decision-making in an organization. Her work has been published in high-impact journals such as Industrial Management and Data Systems, and Benchmarking: An International Journal. Dr. Sonali was awarded the Commonwealth Split-Site Ph.D. Scholarship in 2019 to carry forward her research work with the experts from the UK university for a duration of one year. She is on the reviewer committee of journals like the Journal of Enterprise Information Management, International Journal of Systems Assurance Engineering and Management, and Maritime Technology and Research. Currently, she is focusing on information systems theory development and the application of information, communication, and technology (especially blockchain and artificial intelligence) for sustainable business practices and information systems for social good.

Management Information Systems
Introduction to Spreadsheet
Emerging Technology for Business
Business Process Mining
Predictive Analytics

Information systems for Sustainability

Information Systems for Social Good

Emerging Technology for Decision Making

Awarded Commonwealth Split-Site PhD, 2019

• Shankar, S., Punia, S. and Ilavarasan, P.V. (2021), "Deep learning-based container throughput forecasting: a triple bottom line approach", Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-12-2020-0704. Vol. 121 No. 10, pp. 2100-2117. (ABDC A)
• Shankar, S., Ilavarasan, P. V., Punia, S., & Singh, S. P. (2019). Forecasting container throughput with long-short-term-memory networks. Industrial Management and Data Systems. Vol. 120 No. 3, pp. 425-441. https://doi.org/10.1108/IMDS-07-2019-0370. (ABDC A)
• Shankar, S., Punia, S., Singh, S. P., & Dong, J. (2021). Trajectory of research on maritime transportation in the era of digitization. Benchmarking: An International Journal. Vol. 29 No. 1, pp. 194-216. https://doi.org/10.1108/BIJ-05-2020-0272  (ABDC B)
• Sanguri, K., Shankar, S., Punia, S., & Patra, S. (2022). Hierarchical container throughput forecasting: The value of coherent forecasts in the management of ports operations. Computers & Industrial Engineering, 173, 108651. https://doi.org/10.1016/j.cie.2022.108651 (ABDC A)
• Punia, S., & Shankar, S. (2022). Predictive analytics for demand forecasting: A deep learning-based decision support system. Knowledge-Based Systems, 258, 109956. https://doi.org/10.1016/j.knosys.2022.109956 (ABDC A)

• S. Shankar and M. M. Singh, "Modeling Blockchain For Different Industries in Developing Economy," 2024 11th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, India, 2024, pp. 446-450, doi: 10.1109/SPIN60856.2024.10511321
• Singh, M. M., & Shankar, S. (2024, March). Modeling Blockchain For Manufacturing Industry in Developing Economy. In 2024 International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST) (pp. 1-6). IEEE. (10.1109/ICRISST59181.2024.10921745)
• Shankar, S. & Kesharbani, N. (2023). How does IS strategy drive sustainable business practices? − Role of IT capabilities from a Resource-based perspective. Strategic Management Forum 2023, IIM Tiruchirappalli, India.
• Shankar, S., Kalra, K., & Vigneswara Illavarasan, P. (2022, December). Big Data Analytics for Food Delivery App Using Unstructured Data from Social Media. In Congress on Smart Computing Technologies (pp. 173-183). Singapore: Springer Nature Singapore. (10.1007/978-981-97-8096-9_14)
• Shankar, S., Attri, S., & Ilavarasan, P.V. (2021). What makes MNC’s B2B Freemium Model for Start-ups work in Emerging Market?: Insights from India. ICEBA 2021 7^th International Conference on E-Business and Application.  Proceedings publish in ACM (Association for Computing Machinery) digital library.
• Shankar, S., & Ilavarasan, P.V (2019). Application of Deep Learning for Throughput Forecasting in Container Supply Chain. Annual International Conference of Society of Operations Management, 2019, IIT Kanpur, India.
• Shankar, S., Ilavarasan, P.V, & Singh, S. P. (2019). Portfolio of time series forecasting models to predict container throughput at the port. INFORMS Annual Meeting 2019, Seattle, Washington, USA.

Shankar, S., Ilavarasan, P.V, & Singh, S. P. (2019). The content analysis on the 40 years of literature on ocean transportation. INFORMS Annual Meeting 2019, Seattle, Washington, USA.