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Ashish Agarwal

Associate Professor

Department:     Information, Risk & Operations Management

Research Areas:     Artificial Intelligence, Financial Technology/Fintech

Ashish Agarwal headshot

Ashish Agarwal is an associate professor of information, risk, and operations management at The University of Texas at Austin’s McCombs School of Business. He teaches introduction to information technology honors, digital technologies, and business innovations, and has supervised numerous doctoral students.

Agarwal uses econometrics, Bayesian estimation, network analysis, structural modeling, and machine learning to inform his research. His research has been published in numerous leading conferences and journals. Agarwal has been invited to speak about his research at several universities, including Carnegie Mellon University, Georgia Tech, Harvard University, New York University, and Purdue University.

Agarwal currently works on the editorial board for Management Science and Service Science and has been recognized by The Information Systems Society for his intellectual contributions to the information systems industry.

Prior to joining Texas McCombs, Agarwal earned a Ph.D. in information systems from the Tepper School of Business, Carnegie Mellon University, and a bachelor’s in engineering from the Indian Institute of Technology, Mumbai. He also holds an M.S. in engineering from the Massachusetts Institute of Technology.

 

ACADEMIC LEADERSHIP & AWARDS

2021

Professional Awards

McCombs Research Excellence Grant Recipient: 2015, 2016, 2019, 2020

2018

Sandra A. Early Career Award, Information Systems Society of Institute of Operations Research

2008

Nominated for the Doctoral Consortium at ICIS

2004

William Larimer Mellon Fellowship

1996

Graduate Student Research Grant

 

Publications

Aditya Karanam, Ashish Agarwal, and Anitesh Barua. June 2023. Design for Social Sharing: The Case of Mobile Apps.Information Systems Research 34(2): 721-743.


 

Wuyue (Phoebe) Shangguan, Alvin Leung, Ashish Agarwal, Prahudev Konana, and Xi Chen. Jun 2022. Developing a Composite Measure to Represent Information Flows in Networks: Evidence from a Stock Market. Information Systems Research 33(2): 413-428.

Ashish Agarwal, Shannon Chen, and Lillian F Mills. 2021. Entity Structure and Taxes: An Analysis of Embedded Pass-Through Entities. The Accounting Review 96(6), 1-27.

 

Jing Peng, Ashish Agarwal, Kartik Hosanagar, and Raghuram Iyengar. 2018. Network Overlap and Content Sharing on Social Media Platforms. Journal of Marketing Research 55(4), 571-85.

 

Ashish Agarwal, Alvin Chung Man Leung, Prabhudev C. Konana, and Alok Kumar. 2017. Cosearch Attention and Stock Return Predictability in Supply Chains. Information Systems Research 28(2), 265-288.

 

Ashish Agarwal and Prabhudev C. Konana. 2017. Network Analysis of Search Dynamics: The Case of Stock Habitats. Management Science63(8), 2667-2687.

 

Zhuoxin Li and Ashish Agarwal. 2017. Platform Integration and Demand Spillovers in Complementary Markets: Evidence from Facebook's Integration of Instagram. Management Science 63(10), 3438-3458.

 

Ashish Agarwal and Tridas Mukhopadhyay. 2016. The Impact of Competing Ads on Click Performance in Sponsored Search. Information Systems Research 27(3), 538-557.

 

Ashish Agarwal, Kartik Hosanagar, and Michael D. Smith. 2015. Do Organic Results Help or Hurt Sponsored Search Performance? Information Systems Research 26(4), 695-713.

 

Ashish Agarwal, Katik Hosanagar, and Micheal Smith. 2011. Location, Location, Location: An Analysis of Profitability of Position in Online Advertising Markets. Journal of Marketing Research 48(6), 1057-1073.