Dr. Shardul Phadnis

drshardul

Dr. Shardul Phadnis
Director of Research
Contact: +603 7841 4845 | sphadnis@misi.edu.my


Dr. Phadnis examines the design and adaptation of business models from the supply chain perspective. His research falls in the area of strategic decision making and long-range planning, and contributes to the scholarly domains of managerial cognition, dynamic capabilities, scenario planning, and supply chain strategy. Some recent applications of his research include a long-range planning process for the U.S. freight transportation infrastructure, scenarios for formulating supply chain strategies for global convenience store and chemical firms, and a system for monitoring business environment and guiding adaptation of supply chain strategy of a global beverage firm.

Dr. Phadnis holds a Ph.D. in Engineering Systems from Massachusetts Institute of Technology (MIT). Before starting his doctoral studies, Dr. Phadnis worked in the manufacturing industry for seven years. He developed and led the Lean/Continuous Improvement program at a design-to-manufacture firm, and applied ideas from Lean Manufacturing and Theory of Constraints to make operational improvements in numerous projects.


List of Publications

  • Phadnis, S. (2017, Jan). Internet-of-things in Supply Chain, Keynote presentation at the Roundtable on Emerging Trends of Technologies in SCM, Penang, Malaysia
  • Phadnis, S., Caplice, C., & Sheffi, Y. (2016). “How scenario planning influences strategic decisions”, MIT Sloan Management Review, 57(4), 21-24
  • Phadnis, S. (2015). Connecting supply chains to the internet of things. Supply Chain Frontiers.
  • Phadnis, S., Caplice, C., Sheffi, Y., & Singh, M. (2015). Effect of scenario planning on field experts’ judgment of long-range
  • Caplice, C. & Phadnis, S. (2014). A better approach to infrastructure planning. Harvard Business Review Blog Network.
  • Phadnis, S., Caplice, C., Singh, M., & Sheffi, Y. (2014). Axiomatic foundation and a structured process for developing firm-specific Intuitive Logics scenarios. Technological Forecasting & Social Change, 88, 122-139.