# Rajiv Garg

> Rajiv Garg is a professor at Emory University’s Goizueta Business School who studies how AI, algorithms, and digital platforms change decisions, markets, and organizations.

Rajiv Garg is an Associate Professor of Information Systems and Operations Management at Goizueta Business School, Emory University. Areas of expertise: Artificial intelligence strategy, AI governance, Generative AI in education, Digital platforms, Online social networks, Privacy and data protection, Digital fraud and scams, Future of work.

## Featured research (plain-English summaries)

- [The Impact of Generative Artificial Intelligence on Higher Education: Disruption or Seamless Integration?](https://rajivgarg.org/research/generative-ai-higher-education/): Students learned best from expert-written course content delivered by an AI voice and avatar. AI-written content scored lower no matter who delivered it.
- [To Be or Not to Be Linked: Online Social Networks and Job Search by Unemployed Workforce](https://rajivgarg.org/research/online-social-networks-job-search/): On LinkedIn and similar networks, job seekers' strong ties produce leads, interviews, and offers. The much larger pool of weak ties mostly doesn't, and can slightly hurt.

## All publications

- Haris Krijestorac, Rajiv Garg, Raj Raghunathan, Frenkel Terhofstede (2026). Targeting without Tracking: Personality-Based Ad-App Matching from Public Discourse. SN Business & Economics, 6, 333. https://doi.org/10.1007/s43546-026-01310-6
- Qirui Liu, Rajiv Garg (2026). From Pixels to Provenance: Empirical Study of How NFT Valuation Evolves from Traits to Reputation. ACM Transactions on Management Information Systems. https://doi.org/10.1145/3820902
- Yonah Byarugaba, Binyang Wang, Rajiv Garg (2025). Snack and Snap: A Novel Recipe for Yelp Reviews with Explainable AI. Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS).
- Lekha Challappa, Jenevieve Zhang, Rajiv Garg (2025). Domain Anchorage in Large Language Models: Lexicon Profiling and Unintended Information Leakage. Data & Policy, 7, e73. https://doi.org/10.1017/dap.2025.10041
- Lekha Challappa, Jenevieve Zhang, Rajiv Garg (2025). Domain Anchorage in GPT-4: A Computational Linguistic Analysis of Lexicographic Profiling and Its Implications for Unintended Information Dissemination. Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS).
- Rajiv Garg, Debjit Roy, William Schmidt (2025). The Symbiotic Relationship of Humans and AI. INFORMS OR/MS Today. https://doi.org/10.1287/orms.2025.01.09
- Qirui Liu, Rajiv Garg (2025). Unveiling NFT Price Dynamics: The Interplay of Traits, Timing, and Social Signaling. Proceedings of the International Conference on Information Systems (ICIS).
- Ivanie Stella Umuhoza, Rajiv Garg (2025). Beyond Fair Predictions: Auditing and Mitigating Disparity in Post-Hoc Model Explanations. 2025 IEEE 4th International Conference on Signal, Control and Communication (SCC). https://doi.org/10.1109/SCC66964.2025.11424738
- Binyang Wang, Yili Liu, Rajiv Garg (2025). From Panic to Provisions: Unraveling Consumer Emotions Amidst the Food Delivery Rush During COVID-19 Community Lockdown. Proceedings of the 58th Hawaii International Conference on System Sciences (HICSS).
- Rajiv Garg, William Mann, David A. Schweidel (2024). AI in the Classroom: Shaping the Future of Business Education. INFORMS OR/MS Today. https://doi.org/10.1287/orms.2024.04.09
- Rajiv Garg (2024). The Impact of Generative Artificial Intelligence on Higher Education: Disruption or Seamless Integration?. Working paper.
- Yuxin Zhang, Rajiv Garg, Linda L. Golden, Patrick L. Brockett, Ajit Sharma (2024). Segmenting Bitcoin Transactions for Price Movement Prediction. Journal of Risk and Financial Management, 17(3), 128. https://doi.org/10.3390/jrfm17030128
- Miloš Fišar, Ben Greiner, Christoph Huber, Elena Katok, Ali Ozkes, Management Science Reproducibility Collaboration (2023). Reproducibility in Management Science. Management Science. https://doi.org/10.1287/mnsc.2023.03556
- Rajiv Garg (2023). AI Trust, Data and Privacy Policies. INFORMS OR/MS Today. https://doi.org/10.1287/orms.2023.04.10
- Parshuram Hotkar, Rajiv Garg, Kristen Sussman (2023). Strategic Social Media Marketing: An Empirical Analysis of Sequential Advertising. Production and Operations Management, 32(12), 4005–4020. https://doi.org/10.1111/poms.14075
- Rajiv Garg (2022). AI-Enabled Future of Work. INFORMS OR/MS Today. https://doi.org/10.1287/orms.2022.06.03
- Chandra Srivastava, Rajiv Garg, Vijay Mahajan (2022). To Respond or Not to Respond? Managing Brand Crises in the Digital World. AMA Summer Academic Conference Proceedings.
- Haris Krijestorac, Rajiv Garg, Prabhudev Konana (2021). Decisions under the Illusion of Objectivity: Digital Embeddedness and B2B Purchasing. Production and Operations Management, 30(7), 2232–2251. https://doi.org/10.1111/poms.13363
- John Sibley Butler, Rajiv Garg, Bryan Stephens (2020). Social Networks, Funding, and Regional Advantages in Technology Entrepreneurship: An Empirical Analysis. Information Systems Research, 31(1), 198–216. https://doi.org/10.1287/isre.2019.0881
- Haris Krijestorac, Rajiv Garg, Vijay Mahajan (2020). Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls. Information Systems Research, 31(2), 449–472. https://doi.org/10.1287/isre.2019.0897
- Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky (2019). Personality-Based Content Engineering for Rich Digital Media. Proceedings of the 32nd Bled eConference.
- Bryan Stephens, John Sibley Butler, Rajiv Garg, David V. Gibson (2019). Austin, Boston, Silicon Valley, and New York: Case Studies in the Location Choices of Entrepreneurs in Maintaining the Technopolis. Technological Forecasting and Social Change, 146, 267–280. https://doi.org/10.1016/j.techfore.2019.05.030
- Rajiv Garg, Patrick Brockett, Linda L. Golden, Yuxin Zhang (2018). Rapid Assessment of Customer Marketplace in Disaster Settings through Machine Learning, Geospatial Information, and Social Media Text Mining: An Abstract. Academy of Marketing Science World Marketing Congress, 479–480.
- Rajiv Garg, Rahul Telang (2018). To Be or Not to Be Linked: Online Social Networks and Job Search by Unemployed Workforce. Management Science, 64(8), 3926–3941. https://doi.org/10.1287/mnsc.2017.2784
- Linda L. Golden, Marco Bravo, Patrick Brockett, Christopher Emrich, Alex Gamble, Rajiv Garg, Colleen Jones, et al. (2018). Special Session: Marketing Techniques to Assist Public Sectors in Engaging Customers to Meet Societal and Individual Disasters Crisis Need and Beyond. Academy of Marketing Science World Marketing Congress, 475–476.
- Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky (2018). The Role of Personality in the Diffusion of Digital Media. Proceedings of the International Conference on Information Systems (ICIS).
- Haris Krijestorac, Rajiv Garg, Prabhudev Konana (2017). Digital Embeddedness and Its Effect on Organizational Decision-Making. Proceedings of the International Conference on Information Systems (ICIS).
- Haris Krijestorac, Rajiv Garg, Vijay Mahajan, Frenkel ter Hofstede (2017). Understanding Spillover Effects in Consumption of Rich Digital Media. Proceedings of the International Conference on Information Systems (ICIS).
- Rajiv Garg, Rahul Telang (2013). Inferring App Demand from Publicly Available Data. MIS Quarterly, 37(4), 1253–1264.
- Rajiv Garg, Rahul Telang (2012). Role of Online Social Networks in Job Search by Unemployed Individuals. Proceedings of the International Conference on Information Systems (ICIS).
- Rajiv Garg, Michael D. Smith, Rahul Telang (2011). Measuring Information Diffusion in an Online Community. Journal of Management Information Systems, 28(2), 11–38. https://doi.org/10.2753/MIS0742-1222280202
- Rajiv Garg, Michael D. Smith, Rahul Telang (2011). Discovery of Music through Peers in an Online Community. Proceedings of the 44th Hawaii International Conference on System Sciences (HICSS), 1–10. https://doi.org/10.1109/HICSS.2011.168
- Rajiv Garg, Michael D. Smith, Rahul Telang (2009). The Role of Peer Influence in Marketing on Online Social Networks. International Association of Business Communicators.
- Rajiv Garg (2005). Agile Software Development: NI Software Engineering Process. National Instruments.
- Rajiv Garg (2004). Transition from Traditional NI-DAQ to NI-DAQmx in LabWindows/CVI. National Instruments.
- Rajiv Garg (2004). Data Acquisition in Microsoft .NET and Measurement Studio. National Instruments.
- Rajiv Garg (2003). Search Engines: Architecture to Optimization. TTG Consultants.
- Rajiv Garg (2003). e-Video Learning: Low Cost HR Consulting Solutions. TTG Consultants.
- Rajiv Garg, Ankita Agarwal, J. P. Tiwari (2000). Intelligent System for Hospital Organizations. Proceedings of the National Conference on Intelligent Computing and Software, Varanasi, India.
- Rajiv Garg, Shilpi Joshi, J. P. Tiwari (2000). An Expert System for Motion Control of Robotic Manipulator. Proceedings of the National Conference on Intelligent Computing and Software, Varanasi, India.
- João P. Hespanha, Margaret McLaughlin, Gaurav S. Sukhatme, Minoo Akbarian, Rajiv Garg, Weirong Zhu (2000). Haptic Collaboration over the Internet. Fifth Phantom Users Group Workshop.
- V. K. Dutt, Rajiv Garg (1999). Strategy for Introduction of Linear Induction Motor (LIM) Based Urban Transport System in India: An Economic Analysis. Proceedings of the International IEEE Workshop on Linear Induction Motor (LIM) Systems, Varanasi, India.
- Sriparna Basu, Shilpi Jain, Bishakha Majumdar, Rajiv Garg. Design Thinking for Data-Driven Decisions in Learning: A Mindshift Approach. Working paper.
- Rajiv Garg, Anitesh Barua. The Like Economy: A Randomized Field Experiment to Assess the Value of Social Influence and Signaling. Working paper.
- Rajiv Garg, Yuxin Zhang, Linda Golden, Patrick Brockett. Rapid Damage Estimation for Natural Disasters: An Iterative Learning Framework. Working paper.
- Rajiv Garg, Rahul Telang. Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis. Working paper.
- Jeong Ho Kim, Sung Kwan Lee, Rajiv Garg. The Price of Losing Trust: The Case of YouTube Creators. Working paper.
- Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky. Personality-Based Content Engineering for Rich Digital Media. Working paper.
- Haris Krijestorac, Rajiv Garg, Vijay Mahajan. Voice of Machines: The Role of Acoustic Vocal Characteristics in Consumer Decisions. Working paper.
- Chandra Srivastava, Rajiv Garg, Vijay Mahajan. To Respond or Not to Respond? The Influence of Firestorm Dynamics and Top Management Team Composition on Firm Response to Social Media Firestorms. Working paper.
- Bryan Stephens, Rajiv Garg, John Butler. Specialization vs. Generalization: Analyzing Skill Transferability for Predicting Career Trajectories in High-Tech. Working paper.

## Pages

- [Research](https://rajivgarg.org/research/)
- [About](https://rajivgarg.org/about/)
- [Newsletter](https://notes.rajivgarg.org)