Ajit Sharma
Assistant Professor of Technology, Information Systems and Analytics
- Artificial Intelligence and Robotics
- Generative AI
- Business Analytics
- Technology, Innovation and Entrepreneurship
- Electric and autonomous mobility
Get in touch
313-577-7835
gm5546@wayne.edu
Mike Ilitch School of Business
2771 Woodward Avenue
Room 433
Detroit, MI 48201
Get to know Ajit Sharma
Biography
I am a researcher excited about pushing the frontiers of value generating potential of individuals, organizations and the Government by leveraging technology. To this end, I research the applications of Artificial Intelligence, Robotics, Advanced analytics, and open innovation.
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Ph.D., Technology and Operations, Ross School of Business, University of Michigan
M.B.A., Technology & Strategy, Ross School of Business, University of Michigan
M.S. Industrial Management, National Institute of Industrial Engineering, India
Bachelor of Technology, Manufacturing Engineering, National Institute of Advanced Manufacturing Technology, India
- Artificial Intelligence and Robotics
- Generative AI
- Business Analytics
- Technology, Innovation and Entrepreneurship
- Electric and autonomous mobility
Teaching
- Artificial intelligence
- Generative AI
- Business Analytics
- Emerging technologies
- Innovation
- Entrepreneurship
Research
- Artificial Intelligence
- Generative AI
- Robotics
- Business Analytics
- Innovation
- Entrepreneurship
- Industry 4.0
- Social and Mobile Worlds
- Sustainability
Sharma, Ajit. "Artificial intelligence for sense making in survival supply chains." International Journal of Production Research. (2023): 1-24.
Sharma, Ajit.. "Making electric vehicle batteries safer through better inspection using artificial intelligence and cobots." International Journal of Production Research (2023): 1-20.
Sharma, Ajit, and Manoj Kumar Tiwari. "Digital twin design and analytics for scaling up electric vehicle battery production using robots." International Journal of Production Research (2022): 1-35.
Sharma, Ajit, Zhibo Zhang, and Rahul Rai. "The interpretive model of manufacturing: a theoretical framework and research agenda for machine learning in manufacturing." International Journal of Production Research 59.16 (2021): 4960-4994.
Heart, Tsipi, Ragowsky, Arik, and Sharma Ajit. (2021). ”ISM Special Issue Editorial: The Business Value of Data Analytics.”, Information Systems Management, 2021. 38(3), 183-184, DOI: 10.1080/10580530.2021.1934806
Sharma, Ajit, Philip Zanotti, and Laxmi P. Musunur. "Drive through robotics: Robotic automation for last mile distribution of food and essentials during pandemics." IEEE Access 8 (2020): 127190-127219.
Mithas, Sunil, Charles F. Hofacker, Anil Bilgihan, Tarik Dogru, Vanja Bogicevic, and Ajit Sharma. "Information technology and Baumol's cost disease in healthcare services: a research agenda." Journal of Service Management 31, no. 5 (2020): 911-937.
Sharma, Ajit, Philip Zanotti, and Laxmi P. Musunur. "Enabling the electric future of mobility: robotic automation for electric vehicle battery assembly." IEEE Access 7 (2019): 170961-170991.
Prahalad, C.K. Fortune at the Bottom of the Pyramid. Wharton School Publishing, 2003. (Co-Authored chapter on Affordable Housing)
Learning in a Disruptive Customer Engagement Platform: An Empirical Analysis in the Banking Industry. Sharma, Ajit; Huang, Yan; Krishnan, Mayuram S. (Under 2nd round review at Management Science)
Success Factors of Supply Chain Centers of Excellence: An Empirical Analysis. Sharma, Ajit; Huang, Yan; Vessal, Sara; Kapuscinski, Roman; Krishnan, Mayuram S. (Under 1st round review at Management Science)
2022: Distinguished Alumni Award, Indian Institute of Management, Mumbai, India.
2016: Dean's Teaching Excellence Award, Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA. USA.
Courses taught
Fall Term 2024 (current)
Winter Term 2023
Winter Term 2022