Bio

Ashish Agarwal is a Professor in Information, Risk and Operations Management Department at the McCombs School of Business, University of Texas at Austin. Prior to joining UT Austin, Ashish obtained his PhD in Information Systems from Tepper School of Business, Carnegie Mellon University.  He also holds a Bachelors in Engineering from Indian Institute of Technology, Mumbai (India), and an MS in Engineering from Massachusetts Institute of Technology. His research interests include digital advertising, fintech, social media, digital platforms and artificial intelligence. His work has been published in leading FT50 journals, including Management Science, Information Systems Research, The Accounting Review, Journal of Marketing Research, Manufacturing & Service Operations Management, and Production and Operations Management. He serves on the editorial board for Management Science and Service Science. Ashish is the recipient of Informs Sandra Slaughter Early Career Award in 2018.

Journal Publications  

Yixuan Liu, Ashish Agarwal , Guoming Lai and Weihua Zhou, “On-Demand Healthcare Platforms: Impact of Q&A Service on Online Consultations and Offline Appointments”, forthcoming  at Information Systems Research.

Cenying Yang, Ashish Agarwal and Prabhudev Konana, “General Behavioral Impact of Smart System Warnings: A Case of Advanced Driving Assistance Systems”, forthcoming  at Production and Operations Management.

Aditya Karanam, Ashish Agarwal and Anitesh Barua, “Follow Your Heart or Listen to Users? The Case of Mobile App Design”, forthcoming  at Information Systems Research.

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua, “Demand-Side Effects of Open Innovation: The Case of Cryptocurrency Forking”, forthcoming  at Management Science.

Ashish Agarwal, Shun-Yang Lee and Andrew Whinston, “The Effect of Popularity Cues and Peer Endorsements on Assertive Social Media Ads”, forthcoming at Information Systems Research.

Zijian Zheng, Ashish Agarwal and Yannis Stamatopoulos, “Promotional Inventory Displays: An Empirical Analysis Using IoT Data”, Manufacturing and Service Operations Management, 26(5), 1826-1841.

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

Phoebe Shangguan, Alvin Leung, Ashish Agarwal, Prabhudev Konana and Xi Chen (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 Mills (2021), “Entity Structure and Taxes: An Analysis of Embedded Pass-Through Entities”, The Accounting Review, 96(6), 1-27. (Lead Article)

Jing Peng, Ashish Agarwal, Kartik Hosanagar and Raghuram Iyengar (2018), “Network Overlap and The Sharing of Content on Social Media Platforms”, Journal of Marketing Research, 55(4), 571-585

Ashish Agarwal, Alvin Leung, Prabhudev Konana Alok Kumar (2017), “Co-search Attention and Stock Return Predictability in Supply-Chains”, Information Systems Research, 28(2), 265-288.

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

 Ashish Agarwal, Alvin Leung, Prabhudev Konana and Alok Kumar (2017), “Network Analysis of Search Dynamics: The Case of Stock Habitats”, Management Science, 63(8), 2667-2687.

Ashish Agarwal and Tridas Mukhopadhyay (2016), “Effect of Competing Ads on Click Performance in Sponsored Search”, Information Systems Research, 28(3), 538-557.

 Ashish Agarwal, Kartik Hosanagar and Michael D. Smith (2015), “Sponsored Search: Do Organic Results help or hurt the Performance”, Information Systems Research, 26(4),  695-713.

Ashish Agarwal, Kartik Hosanagar, Michael D. Smith (2011), “Location,Location, Location: An Analysis of Profitability and Position in Online Advertising Markets,” Journal of Marketing Research, 48, 1057-1073.

Ashish Agarwal and Amar Gupta (2009), “Self-Configuration and Administration of Wireless Grids,” International Journal of Grid and High Performance Computing, 1(3), 37-51.

Agarwal Ashish, Uday Pal (1999), “Influence of Pellet Composition and Structure on Carbothermic Reduction of Silica,” Metallurgical and Materials Transactions, 30B (2), (1999), p.295

Refereed Conference Proceedings

Aditya Karanam, Ashish Agarwal and Anitesh Barua (2021), “ML-Based Product Design: The Case of Mobile Apps”, ICIS 2021 Proceedings, 12. (Best Student Paper Nomination)

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua (2021), “Spillovers in Open Innovation: The Case of Cryptocurrencies”, ICIS 2021 Proceedings, 18.

Qian Tan, Tingting Song, Liangfei Qiu and Ashish Agarwal (2019), “Online Content Consumption: Social Endorsements, Observational Learning and Word-of-Mouth”, ICIS 2019 Proceedings, 20.

Aditya Karanam, Ashish Agarwal and Anitesh Barua (2018), “Designing for Visibility and Sharing: The Case of Mobile Apps”, ICIS 2018 Proceedings, 23.

Jing Peng, Ashish Agarwal, Kartik Hosanagar and Raghuram Iyengar (2014) “Toward Effective Social Contagion: A Micro Level Analysis of the Impact of Dyadic Network Relationship”, ICIS 2014 Proceedings, 26.

Alvin Leung, Ashish Agarwal, Alok Kumar and Prabhudev Konana (2012), “Online Search: Identifying New Investment Habitats”, ICIS 2012 Proceedings, 15.

Ashish Agarwal, Alvin Leung, and Prabhudev Konana (2011), “Online Retailer vs. Click and Mortar Retailer: Who Performs Better?”, ICIS 2011 Proceedings, 11.

Ashish Agarwal, Kartik Hosanagar, and Michael Smith (2011), “Sponsored Search: Do Organic Results help or hurt the Performance and under what conditions?”, ICIS 2011 Proceedings, 18.

Selected Working Papers

Aditya Karanam, Ashish Agarwal and Anitesh Barua: Machine Learning based Product Design.

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua: Cryptocurrencies: Spillover Effects of Open Innovation

Alving Leung, Vincent Zhuang, Ashish Agarwal and Prabhudev Konana: Harnessing Facial Expressions using Video Mining: Emotional States of Executives and Market Reaction.

Yixuan Liu, Ashish Agarwal, Guoming Lai and Weihua Zhou: On-Demand Healthcare Platforms: Impact of Subsidized Q&A Service on Online Consultations and Offline Appointments.

Hale Erkan, Yannis Stamatopolous, Ashish Agarwal and Kumar Muthuraman: Why so many scooters? A policy analysis.

Qian Tang, Tingting Song, Ashish Agarwal and Liangfei Qui: Cross-Platform Interactions: Interplay of Content Views and Word-of-Mouth with Social Endorsements.

Papers in Refereed Conferences

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua (2023), “Platform Design to Curb Misinformation”, Conference on Information Systems and Technology, Phoenix, October 14-15.

Alving Leung, Vincent Zhuang, Ashish Agarwal and Prabhudev Konana (2023), “Harnessing Facial Expressions using Video Mining: Emotional States of Executives and Market Reaction”, Conference on Information Systems and Technology, Phoenix, October 14-15.

Fangchen Song, Wen Wen and Ashish Agarwal (2023), “Impact of Artificial Intelligence on Software Development”, Conference on Information Systems and Technology, Phoenix, October 14-15.

Haoyuan Li, Wen Wen, Ashish Agarwal and Andrew Whinston (2022), “The Implications of Artificial Intelligence Feedback for Worker Productivity”, Conference on Information Systems and Technology, Indianapolis, October 13-14.

Jacob Zheng, Ashish Agarwal and Yannis Stamapolous (2021), “Promotional Inventory Displays: An Empirical Analysis Using IoT Data”, Conference on Information Systems and Technology, Newport, October 23-24.

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua (2020), “Cryptocurrencies: Spillover Effects of Open Innovation”, Conference on Information Systems and Technology, National Harbor, November 7-8.

Phoebe Shangguan, Alvin Leung, Ashish Agarwal and Prabhudev Konana (2019), “Co-Attention Based Networks, Information Diffusion and Stock Returns Predictability”, Conference on Information Systems and Technology, Seattle, October 19-20. 

Yixuan Liu, Ashish Agarwal, Guoming Lai and Weihua Zhou (2019), “On-Demand Healthcare Platforms: Impact of Subsidized Q&A Service on Demand for Online and Offline Consultation”, Conference on Information Systems and Technology, Seattle, October 19-20. 

Yannis, Stamapolous, Ashish Agarwal and Jacob Zheng (2018), “Operational Execution and POP Campaign Effectiveness:  Empirical Evidence from Adoption of an IoT Technology”, MSOM Conference, Dallas, July 2-3. 

Alvin Leung, Ashish Agarwal, and Prabhudev Konana (2017), “An Empirical Study of Buy Online and Pickup in Store Option in Omnichannel Stores”, Conference on Information Systems and Technology, Houston, October 21-22. 

Shun-Yang Lee, Ashish Agarwal and Andrew Whinston (2015) “Word of Mouth in Social Media Advertising”, Conference on Information Systems and Technology, Philadelphia, October 31-November 1.

Ashish Agarwal, Shannon Chen, Rahul Tikekar, Ririko Horvath and Larry May (2015) “Analysis of Flow-Through Entities Using Social Network Analysis Techniques”, SOI Tax Stats IRS TPC Research Conference, Washington D.C., June 18.

Ashish Agarwal and Kartik Hosanagar (2014) “Social Advertising: When does it Work?” Conference on Information Systems and Technology, San Francisco, November 8-9. (Best Paper Nomination)

Alvin Leung, Ashish Agarwal, Alok Kumar and Prabhudev Konana (2012), “Online Search: Identifying New Investment Habitats”, Conference on Information Systems and Technology, Phoenix, October 13-14. (Best Paper Finalist)

Zhuoxin Li, Ashish Agarwal and Steve Gilbert (2012), “Channel Competition in Online Referral Markets”, Conference on Information Systems and Technology, Phoenix, October 13-14. (Best Student Paper Finalist)

Agarwal, Ashish, Tridas Mukhopadhyay (2010), “Sponsored Search: Search Characteristics, Advertisers’ Bids & Performance,” Conference on Information Systems and Technology, Austin, November 5-6. 

Papers in Refereed Workshops

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua. 2023. Platform Design to Curb Misinformation, Workshop in Information Systems Economics, Hyderabad, December 13-15.

Fangchen Song, Wen Wen and Ashish Agarwal. 2023. Impact of Artificial Intelligence on Software Development, Workshop in Information Systems Economics, Hyderabad, December 13-15.

Yan Leng and Ashish Agarwal. 2022. Identifying Business Influence Network using Mobile Data, Workshop in Information Systems Economics, Copenhagan, December 14-16.

Haoyuan Li, Wen Wen, Ashish Agarwal and Andrew Whinston. 2022. The Implications of Artificial Intelligence Feedback for Worker Productivity, Workshop in Information Systems Economics, Copenhagan, December 14-16.

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua. 2021. Dynamics of Open Innovation: The Case of Cryptocurrency Forking, Workshop in Information Systems Economics, Austin, December 16-17.

Aditya Karanam, Ashish Agarwal and Anitesh Barua. (2020), "Extracting Suggestion Features from Noisy User Generated Content Using BERT",Workshop in Information Technology and Systems, Hyderabad, December 16-18. (Best Paper Nomination)

Aditya Karanam, Ashish Agarwal and Anitesh Barua. 2020. Designing New App Features: Imitate, Innovate or Follow the Crowd. Sixteenth Symposium on Statistical Challenges in eCommerce Research Symposium (SCECR’20), Spain, June 18-19.

Qian Tan, Tingting Song, Liangfei Qiu and Ashish Agarwal. 2020. Online Content Consumption:  Social Endorsement, Content Popularity and Word-of-Mouth. Sixteenth Symposium on Statistical Challenges in eCommerce Research Symposium (SCECR’20), Spain, June 18-19.

Cenying Yang, Ashish Agarwal and Prabhudev Konana. 2020. Advanced Driver Assistance Systems (ADAS), Driving Behavior and Collision Accident. Sixteenth Symposium on Statistical Challenges in eCommerce Research Symposium (SCECR’20), Spain, June 18-19.

Vasundhara Sharma, Ashish Agarwal and Anitesh Barua. 2019. Cryptocurrency Innovations and Returns. Workshop in Information Systems Economics, Munich, December 19-20.

Cenying Yang, Ashish Agarwal, Deepayan Chakrabarti and Prabhudev Konana. 2018. Consumption of News Information and Stock Returns. Workshop in Information Systems Economics, San Francisco, December 16-18.

Tracy Yang, Ashish Agarwal, Deepayan Chakrabarti and Prabhudev Konana. 2017. Market Response to the Amount of Information in News Articles. Workshop in Information Systems Economics, Seoul, December 13-15.

Aditya Karanam, Ashish Agarwal and Anitesh Barua. 2017. Mobile App Ecosystem: Social Features and Performance. Workshop in Information Systems Economics, Seoul, December 13-15.

Shun-Yang Lee, Ashish Agarwal and Andrew Whinston. 2017. The Adverse Effect of “Likes” and Friends’ “Likes” on Facebook Ads. Conference on Digital Experimentation MIT, Boston, October  27-28.

Shun-Yang Lee, Ashish Agarwal and Andrew Whinston. 2015. Word of Mouth in Social Media Advertising. Workshop in Information Systems Economics, Dallas, December 11-13.

Jing Peng, Ashish Agarwal, Kartik Hosanagar and Raghuram Iyengar. 2015. Towards Effective Information Diffusion on Social Media Platforms: A Dyadic Analysis of Network Embeddedness. Workshop in Information Systems Economics, Dallas, December 11-13. (Best Student Paper Nomination)

Zhuoxin Li, Ashish Agarwal. 2014. Impact of Platform Integration on the Consumer Demand in Complementary Markets: Evidence from Facebook’s Integration of Instagram. Workshop in Information Systems Economics, Auckland, New Zealand, December 17-19.

Zhuoxin Li, Ashish Agarwal. 2014. Impact of Platform Integration on the Consumer Demand in Complementary Markets: Evidence from Facebook’s Integration of Instagram. The Tenth Symposium on Statistical Challenges in Electronic Commerce Research, Tel Aviv, Israel, June 12-13. 

Alvin Leung, Ashish Agarwal and Prabhudev Konana. 2013. Co-Searching and Stock Cross-Predictability.  Workshop in Information Systems Economics, Milan, Italy, December 19-20.

Jing Peng, Kartik Hosanagar, Ashish Agarwal and Raghuram Iyengar. 2013. Toward Effective Social Advertising: A Micro Level Analysis of the Impact of Network Attributes on Social Influence. The Ninth Symposium on Statistical Challenges in Electronic Commerce Research, Lisbon, Portugal, June 27-28. 

Alvin Leung, Ashish Agarwal, Alok Kumar and Prabhudev Konana. 2013. Online Search: Identifying New Investment Habitats. International Symposium of Information Systems, Goa, India, January 5-6.

Ashish Agarwal and Kartik Hosanagar. 2012. Social Advertising: Does Social Influence Work? Workshop in Information Systems Economics, Orlando, December 15-16.

Zhuoxin Li, Ashish Agarwal. 2011. Manufacturer Encroachment in Direct Sales. Workshop in Information Systems Economics, Shanghai, China, December 7-9

Agarwal, Ashish, Kartik Hosanagar, Michael D. Smith. 2010. Sponsored Search: Do Organic Results help or hurt the Performance and under what conditions? Workshop in Information Systems Economics, St. Louis, December 11-12. 

Leung, Alvin, Ashish Agarwal, Prabhudev Konana. 2010. Online Channel: A means to higher market valuation? Workshop in Information Systems Economics, St. Louis, December 11-12. 

Agarwal, Ashish, Tridas Mukhopadhyay. 2010. Sponsored Search: Search Characteristics, Advertisers’ Bids & Performance. The Sixth Symposium on Statistical Challenges in Electronic Commerce Research, Austin, June 5-6. 

Agarwal, Ashish, Tridas Mukhopadhyay. 2009. Sponsored Search Advertising: Empirical Analysis of Search and Advertisers’ Bidding Characteristics. Workshop in Information Systems Economics, Phoenix, December 14-15. 

Agarwal, Ashish, Pei-yu Chen, Tridas Mukhopadhyay. 2008. Beyond Plug & Play: Alliances in the Software Industry. Workshop in Information Systems Economics, Paris, December 13-14. 

Agarwal, Ashish, Kartik Hosanagar, Michael D. Smith. 2008. Location, Location, Location: An Analysis of Profitability and Position in Online Advertising Markets. Fourth Symposium on Statistical Challenges in eCommerce Research Symposium (SCECR’08), New York, May 18-19.

Agarwal, Ashish, Kartik Hosanagar, Michael D. Smith. 2007. Location, Location, Location: An Analysis of Profitability and Position in Online Advertising Markets. Workshop in Information Systems Economics, Montreal, December 8-9. 

Agarwal, Ashish, Pei-yu Chen, Tridas Mukhopadhyay. 2005. Compatibility and Pricing in the Market for Complements.  Workshop in Information Systems Economics, Irvine, Dec 10-11.

Students

Advisor/Co-Advisor

Fangchen Song , Current,  UT Austin

Zijian Zheng, Graduated in 2022, UT Austin (UNC Chapel Hill)

Vasundhara Sharma, Graduated in 2022, UT Austin (Indian School of Business)

Aditya Karanam, Graduated in 2021, UT Austin (National University of Singapore)

Cenying Yang, Graduated in 2021, UT Austin (City University of Hong Kong)

Shun-Yang Lee, Graduated in 2016, UT Austin (University of Connecticut) 

Zhuoxin Li, Graduated in 2015, UT Austin (Boston College) (Best Dissertation Award)

Alvin Leung, Graduated in 2014, UT Austin (City University of Hong Kong)

Committee Member / Co-author

Zhuoran Jiang  (Graduated in 2024), UT Austin (HEC Paris)

Mahdi Niknejad (Graduated in 2024), UT Austin (UT Tyler)

Songjie Huang (Graduated  in 2024), UT Austin (Walmart)

Hale Erkan (Graduated in 2023), UT Austin (Arizona State University)

Junjie Qian, Graduated in 2021, UT Austin  (ByteDance)

Yixuan Liu, Graduated in 2020, UT Austin (Purdue University)

Xiaofan Li, Graduated in 2020, UT Austin  (National University of Singapore)

Shannon Chen, Graduated in 2018, UT Austin (University of Arizona)

Yanzhen Chen, Graduated in 2017, UT Austin (HKUST)

Samuel Blake, Graduated in 2017, UT Austin (DARPA)

Qian Tang, Graduated in 2013, UT Austin (Singapore Management University)