Carnegie Mellon University

Business Technologies

The Business Technologies group at the Tepper School is home to quantitative researchers who study how technology affects business and society from an economics lens. The group is interested in design, measurement, and policy issues that result from advances in technologies such as:

  • Machine learning/artificial intelligence
  • Blockchain/cryptocurrencies
  • Automated machines
  • Augmented reality
  • Future of work
  • Robo-advisors
As a top-ranked group in the world for Information Systems discipline, no other business school has produced more Informs Information System Society Distinguished Fellows.

Ph.D. Student Placements

The Business Technologies group has a track record of producing exceptional Ph.D. graduates. Our graduates have placed as assistant professors at:

Harvard Business School | Stern School of Business at New York University | Ross School of Business at University of Michigan | Heinz College at Carnegie Mellon University | Sloan School of Management at Massachusetts Institute of Technology | Olin School of Business at Washington University | McCombs School of Business at University of Texas at Austin | Foster School of Business at University of Washington | Marshall School of Business at University of Southern California.

More About the Tepper Business Technologies Ph.D. Program


Informs Information Systems Society (ISS) Sandra Slaughter Early Career Award Winners

The spirit of the Informs ISS Sandra Slaughter Early Career Award is to honor the memory of the late Professor Sandra Slaughter who was tireless in her pursuit of recognizing the potential leaders of the “next generation” of information systems academics.

Established in 2015, the award recognizes and honors early-career individuals who are on a path towards making outstanding intellectual contributions to the information systems discipline. 

Param Vir Singh (2015)
Carnegie Bosch Professor of Business Technologies and Marketing
Tepper School of Business
Carnegie Mellon University

Ashish Agarwal (2018)
Associate Professor
McCombs School of Business
The University of Texas at Austin

Yan Huang (2020)
Associate Professor of Business Technologies
Tepper School of Business
Carnegie Mellon University

ISS Nunamaker Chen Best Doctoral Dissertation Award 2022

Runshan Fu, Assistant Professor of Marketing and a Heinz Ph.D. graduate, co advised by Param Vir Singh and Ramayya Krishnan, won the 2022 Nunamaker Chen Best Doctoral Dissertation award.

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Param Vir Singh, Rushan Fu, and Yan Huang

Left to right: Param Vir Singh, Runshan Fu, Yan Huang

Informs ISS Distinguished Fellow Award Winners

The most prestigious award for the Information Systems discipline, the Informs ISS Distinguished Fellow Awards recognizes individuals who have made lifelong outstanding contributions to the Information Systems discipline in research, education, and service.

The Tepper Business Technologies group has an exceptional record in producing Informs ISS Distinguished Fellows, including:

Andrew Whinston (Inaugural Class 2009)

Charles Kriebel (Inaugural Class 2009)

Prabuddha De (Inaugural Class 2009)

Tridas Mukhopadhyay (2012)

Chris Kemerer (2013)

Sandra Slaughter (2014)

Anitesh Barua (2015)

Anindya Ghose (2015)

Chris Forman (2019)

Param Vir Singh (2019)

Conference on Information Systems and Technology 2022

The Tepper Business Technologies group attended the 2022 Conference on Information Systems and Technology (CIST) 2022 in Indianapolis, Oct. 15-16. Yan Huang, Associate Professor of Business Technologies at Tepper, co-chaired the conference. Tepper Business Technologies group members who presented their work include Qiaochu Wang, Liying Qiu, Zoey Jiang, Yan Huang, and Param Vir Singh.

Qiaochu Wang and Param Vir Singh's paper, Algorithms, Artificial Intelligence and Simple Rule Based Pricing was nominated for the Best Student Student Paper award. 

CIST conference attendees from BT group

Left to right: Qiaochu Wang, Liying Qiu, Runshan Fu, Param Vir Singh, Yan Huang, and Zoey Jiang

The John DC Little Award in Marketing

The paper Can an AI algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb by Shunyuan Zhang, Niting Mehta, Param Vir Singh, and Kannan Srinivasan was the runner-up to the prestigious John DC Little award in Marketing 2021. The award is given annually to the best marketing paper published in Marketing Science, Management Science, or another INFORMS journal. 

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Research Spotlight