Nitin R. Joglekar
Nitin R. Joglekar is on the faculty at Boston University’s Questrom School of Business. His interests involve Digital Product Management Thinking (DPMT), Digitalization of Supply Chains (and use of data analytics) at established firms and during entrepreneurial startups, and public policy issues in global supply chains.
Prior to his academic career, he worked in the information technology and energy industries. He has overseen digital product management and supply chain implementations at established firms and founded a software startup. He holds bachelor’s degree from Indian Institute of Technology, masters degrees in engineering from MIT and Memorial University (Canada), and doctoral degree in management science from the MIT Sloan School.
At Boston University’s Questrom School of Business, Professor Joglekar teaches courses related to his research themes at undergraduate, graduate and executive levels. He offers a DPMT MOOC course (on edX.org). He has won several awards, including the Broderick Award for Teaching Excellence and the General Electric Award for Team Learning. He has been a visiting faculty member at MIT Sloan School of Management and at University of Texas, and a visiting fellow at Cambridge Judge Business School, and Copenhagen Business School.
Professor Joglekar is the department editor for Industry Studies and Public Policy at Production & Operations Management (POM). His research findings have appeared in ACM Journal of Information & Data Quality, Artificial Intelligence EDAM, EJOR, Entrepreneurship Theory & Practice, IEEE-TEM, Journal of Applied Probability, Journal of Business Venturing, Journal of Product Innovation Management, Journal of Service Management, Managerial & Decision Economics, Management Science, POM, Research in Engineering Design, Service Science, and Systems Research & Behavioral Science. His book, Innovation Butterfly, addresses management of innovation risks and allied analytics opportunities. His book Digital Product Management Thinking (DPMT) advocates integration of analytics, business model, coordination and design thinking.
I. Digital Product Management, Data Product Management, Startup Ops & Technology Commercialization (See related blog: www.supsio.org )
· DevOps at Swisscom (with Steven Eppinger and Raj Srinivasan at MIT, 2018-19)
· Lean Startups: Validation learning vs Growth (with Emre Guzelsu and Janelle Heineke). To be presented at POMS2019 and AOM2019.
II. Deployment of Data Analytics & Machine Learning Techniques in Digital Innovation Processes
· Machine Learning: Activation of COPD patients with technology enabled continuity of care (with Carrie Queenan and Kellas Cameron). See working paper here.
· Personalized Medicine: Streaming stent patients based on genomic information (with Jugnu Jain from , Nachi Sahoo and Kellas Cameron). See working paper here.
III. Industry Studies & Public Policy: Product - Supply Chain Configurations, Digitization & Regulatory Disruptions (See a review paper here)
· Surge pricing on a service platform under Spatial Spillovers: Evidence from Uber (with Brad Lee, Christo Wilson, Le Chen and Shan Liang); see working paper here.
· Digitalisation of Development and Supply Networks: Sequential and Platform-Driven Innovations; evidence from pharmaceutical sector (with Tomas Harrington and Jag Srai); see working paper here.
· Reducing the cost of cleaning solar plants using eletrodynamic screening technology (with Malay Mazumder and Mark Horenstein); see ASME paper & 2017 IEEE paper.
· Impact of BREXIT on Supply Chain Configurations – A Behavioral Study (with Shardul Phadnis at MISI).