Research

Garg, Rajiv. “The Impact of Generative Artificial Intelligence on Higher Education: Disruption or Seamless Integration?” (ssrn) (Poets&Quants)

Krijestorac, Haris, Rajiv Garg, and Maytal Saar-Tsechansky. "Personality-Based Content Engineering for Rich Digital Media." (ssrn)

Haris Krijestorac, Rajiv Garg, Vijay Mahajan “Voice of Machines: The Role of Acoustic Vocal Characteristics in Consumer Decisions,” (ssrn)

Kim, Jeong Ho, Sung Kwan Lee, and Rajiv Garg. "The Price of Losing Trust: The Case of YouTube Creators." (ssrn)

Garg, Rajiv, Yuxin Zhang, Linda Golden, and Patrick Brockett. "Rapid Damage Estimation for Natural Disasters: An Iterative Learning Framework."  (ssrn)

Garg, Rajiv, and Rahul Telang. “Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis” (ssrn) 

Srivastava, Chandra, 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.” (ssrn)

Bryan Stephens, Garg, Rajiv, and John Butler. "Specialization vs. Generalization: Analyzing Skill Transferability for Predicting Career Trajectories in High-Tech." (ssrn)

Garg, Rajiv,  and Anitesh Barua. "The Like Economy: A Randomized Field Experiment to Assess the Value of Social Influence and Signaling." (ssrn, video)

Basu, Sriparna and Jain, Shilpi and Majumdar, Bishakha and Garg, Rajiv, "Design Thinking for Data-Driven Decisions in Learning: A Mindshift Approach" (ssrn)

Garg, Rajiv, Raj Raghunathan, and  Frenkel Terhofstede. "Personality Matching for Improving Mobile In-App Advertising Effectiveness."

Zhang, Yuxin, Rajiv Garg, Linda Golden, and Patrick Brockett. "Segmenting Bitcoin Transactions for Price Movement Prediction." Journal of Risk and Financial Management. 2024; 17(3):128. (doi) (ssrn)

Garg, Rajiv. "AI Trust, Data and Privacy Policies." INFORMS ORMS Today (2023). (doi)

Hotkar, Parshuram, Rajiv Garg, Kristen Sussman. "Sequential Social Media Advertising: An Empirical Study of Micro Communities and Targeting." Production and Operations Management (2023). (ssrn)

Garg, Rajiv. "AI-Enabled Future of Work." INFORMS ORMS Today (2022). (doi)

Krijestorac, Haris, Rajiv Garg, and Prabhudev Konana. "Decisions Under the Illusion of Objectivity: Digital Embeddedness and B2B Purchasing." Production and Operations Management (2021). (ssrn)

Krijestorac, Haris, Rajiv Garg, and Vijay Mahajan. "Cross-Platform Spillover Effects in Consumption of Viral Content: A Quasi-Experimental Analysis Using Synthetic Controls." Information Systems Research (2020). (ssrn)

Butler, John Sibley, Rajiv Garg, and Bryan Stephens. "Social networks, funding, and regional advantages in technology entrepreneurship: an empirical analysis." Information Systems Research (2019). (ssrn)

Stephens, Bryan, John Sibley Butler, Rajiv Garg, and David V. Gibson. "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 (2019): 267-280. 

Garg, Rajiv, and Rahul Telang. "To be or not to be linked: Online social networks and job search by unemployed workforce." Management Science 64, no. 8 (2018): 3926-3941. (ssrn, video)

Garg, Rajiv, and Rahul Telang. "Inferring app demand from publicly available data." MIS Quarterly (2013): 1253-1264 (ssrn, wiki)

Garg, Rajiv, Michael D. Smith, and Rahul Telang. "Measuring information diffusion in an online community." Journal of Management Information Systems 28, no. 2 (2011): 11-38. (ssrn)

Yonah Byarugaba, Binyang Wang, Rajiv Garg. "Snack and Snap: A Novel Recipe for Yelp Reviews with Explainable AI" HICSS 2025 (forthcoming)

Lekha Challappa, Jenevieve Zhang, Rajiv Garg. "Domain Anchorage in GPT-4: A Computational Linguistic Analysis of Lexicographic Profiling and Its Implications for Unintended Information Dissemination" HICSS 2025 (forthcoming)

Binyang Wang, Yili Liu, Rajiv Garg. "From Panic to Provisions: Unraveling Consumer Emotions Amidst the Food Delivery Rush During COVID-19 Community Lockdown" HICSS 2025 (forthcoming)

Fišar, M., Greiner, B., Huber, C., Katok, E., Ozkes, A., and the Management Science Reproducibility Collaboration. "Reproducibility in Management Science" Management Science (2023) (doi)

• Note: Rajiv Garg is a member of the Management Science Reproducibility Collaboration 

Chandra Srivastava, Rajiv Garg, Vijay Mahajan; “To Respond or Not to Respond? Managing Brand Crises in the Digital World.” 2022 AMA Summer Academic Conference Proceedings.

Krijestorac, Haris, Rajiv Garg, and Maytal Saar-Tsechansky. "Personality-Based Content Engineering for Rich Digital Media."  BLED 2019 Proceedings. 13 (2019).

Krijestorac, Haris, Rajiv Garg, and Maytal Saar-Tsechansky. "The Role of Personality in the Diffusion of Digital Media." International Conference on Information Systems (ICIS) (2018) 

Garg, Rajiv, Patrick Brockett, Linda L. Golden, and Yuxin Zhang. "Rapid Assessment of Customer Marketplace in Disaster Settings through Machine Learning, Geospatial Information, and Social Media Text Mining: An Abstract." In Academy of Marketing Science World Marketing Congress, pp. 479-480. Springer, Cham, 2018. 

Golden, Linda L., Marco Bravo, Patrick Brocket, Christopher Emrich, Alex Gamble, Rajiv Garg, Colleen Jones et al. "Special Session: An Abstract on “Marketing Techniques to Assist Public Sectors in Engaging Customers to Meet Societal and Individual Disasters Crisis Need and Beyond”." In Academy of Marketing Science World Marketing Congress, pp. 475-476. Springer, Cham, 2018. 

Krijestorac, Haris, Rajiv Garg, Vijay Mahajan, and Frenkel ter Hofstede. "Understanding Spillover Effects in Consumption of Rich Digital Media." International Conference on Information Systems (ICIS) (2017). 

Krijestorac, Haris, Rajiv Garg, and Prabhudev Konana. "Digital embeddedness and its effect on organizational decision-making." International Conference on Information Systems (ICIS) (2017). 

Garg, Rajiv, and Rahul Telang. "Role of online social networks in job search by unemployed individuals." International Conference on Information Systems (ICIS) (2012).

Garg, Rajiv, Michael D. Smith, and Rahul Telang. "Discovery of music through peers in an online community." In 2011 44th Hawaii International Conference on System Sciences, pp. 1-10. IEEE, 2011.

Hespanha, Joao P., Margaret McLaughlin, Gaurav S. Sukhatme, Minoo Akbarian, Rajiv Garg, and Weirong Zhu. "Haptic collaboration over the internet." In Fifth Phantom Users Group Workshop. 2000.  (html) 

Garg, Rajiv, Ankita Agarwal, and J.P. Tiwari. "Intelligent System for Hospital Organizations." In Proceedings of  National Conference on Intelligent Computing and Software, Varanasi, India (2000). 

Garg, Rajiv, Shilpi Joshi, and J.P. Tiwari. "An Expert System For Motion Control of Robotic Manipulator." In Proceedings of  National Conference on Intelligent Computing and Software, Varanasi, India (2000). 

Dutt, V.K., and Rajiv Garg. "Strategy for Introduction of Linear Induction Motor (LIM) Based Urban Transport System in India – An Economic Analysis." In Proceedings of International IEEE Workshop on Linear Induction Motor (LIM) Systems, Varanasi, India (Nov’1999). 

2024

• Anandhi Bharadwaj, Sundar Bharadwaj, and Rajiv Garg (2024) “Assessing the Dichotomy of Educational Technologies: Impacts on Student Proficiency in Pandemic-Era Virtual Learning,” Workshop on Information Systems and Economics (WISE), Bangkok, Thailand

• Ram Chellappa, and Rajiv Garg (2024) “Impact of Cryptocurrency Regulations on its Adoption:  An Empirical Analysis of Global Cryptocurrency Policies,” Workshop on Information Systems and Economics (WISE), Bangkok, Thailand

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan (2024) “To Be or Not to Be Samuel L. Jackson? Voice Analytics to Personalize Smart Devices for Consumer Engagement,” Conference on Information Systems (CIST), Seattle

• Sriparna Basu, Rajiv Garg, and Shilpi Jain (2024) “Unveiling the Dynamics of Disinformation Spread: A Field Experiment Investigating the Diffusion of Fake and Deepfake Media,” Statistical Challenges in E-Commerce Research (SCECR), Lisbon, Portugal

• Lekha Challappa, Jenevieve Zhang, and Rajiv Garg (2024) “Statistical Dissection of Lexicographic Encoding in GPT-4 Neural Networks and its Implications for Unintended Information,” Production and Operations Management (POM) Annual Meeting, Minneapolis, Minnesota

• Rajiv Garg, Debjit Roy, Anuj Kumar (2024) “Accounting for Human Behavioral Changes in an AI-Enabled Driving Assistance System,” Production and Operations Management (POM) Annual Meeting, Minneapolis, Minnesota

2023

• Rajiv Garg, and Rahul Telang (2023); “Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis,” 21st ZEW Conference on Information and Communication Technologies, Mannheim, Germany

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan (2023) “To Be or Not to Be Samuel L. Jackson? Voice Analytics to Personalize Smart Devices for Consumer Engagement,” Statistical Challenges in E-Commerce Research (SCECR), Bogota, Columbia

• Ping Tang, Rajiv Garg, Amit Mehra, Anuj Kumar (2023) “Retail Analytics: A Comprehensive Framework to Identify (Non)-Digital Products,” Statistical Challenges in E-Commerce Research (SCECR), Bogota, Columbia

• Rajiv Garg, and Rahul Telang (2023); “Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis,” Statistical Challenges in E-Commerce Research (SCECR), Bogota, Columbia

2022

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan (2022) “Machine-Based Voice Personalization: The Role of Acoustic Vocal Characteristics in Consumer Decisions,” Workshop on Information Systems Economics (WISE), Copenhagen, Denmark

• Ping Tang, Rajiv Garg, Amit Mehra, Anuj Kumar (2022) “Store Assortment 2.0: A Comprehensive Retail Analytics Framework to Identify (Non)-Digital Products,” Workshop on Information Technology and Systems (WITS), Copenhagen, Denmark

• Rajiv Garg, and Rahul Telang (2022); “Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis,” Workshop on the Economics of Information Security, Tulsa, OK

• Eric Holshouser, Corey Rodrigo, Peter Sprague, and Rajiv Garg (2022); “Application of Machine Learning to NFL Injury Prediction,” Combined Sections Meeting (CSM), San Antonio, TX

2021

• Rajiv Garg, and Rahul Telang (2021) “Impact of App Privacy Label Disclosure on Demand: An Empirical Analysis,” Workshop on Information Systems Economics (WISE), Austin, TX

• Ping Tang, Rajiv Garg, Amit Mehra, Anuj Kumar (2021) “Redesigning Stores After COVID: Using Machine Learning to Determine Store Assortment,” Workshop on Information Systems Economics (WISE), Austin, TX

2020

• Rajiv Garg, Parshuram Hotkar, Kristen Sussman (2020) “Sequential Social Media Advertising,” Marketing Science Conference, Duke University

2019

• Rajiv Garg, and Parshuram Hotkar (2019) Sequential Social Media Advertising, Conference on Digital Experimentation (CODE@MIT), Boston, MA

• Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky (2019) Personality-Based Content Engineering for Rich Digital Media, INFORMS Conference on Information Systems and Technology (CIST), Seattle,WA

• Rajiv Garg, Pat Brockett, Linda Golden, Yuxin Zhang (2019); Predicting Cryptocurrency Movement:Analysis of Blockchain Transaction Graph, INFORMS Annual Meeting, Seattle, WA

• Rajiv Garg, Pat Brockett, Linda Golden, Yuxin Zhang (2019); Predicting Cryptocurrency Movement:Analysis of Blockchain Transaction Graph,Statistical  Challenges in E-commerce  Research (SCECR), Hong Kong

• Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky (2019) Personality-Based Content Engineeringfor  Rich  Digital  Media, 32nd  Bled  eConference  (Humanizing  Technology  for  a  Sustainable  Society), Slovenia

• Preeti Chopra, and Rajiv Garg (2019) Determining the Relationship between Personality and Depression using MIDUS Data, 27th Annual Meeting ”Prevention Science in a Big Data World, San Francisco, CA

2018

• Haris Krijestorac, Rajiv Garg, Maytal Saar-Tsechansky (2018) Predicting Popularity of Rich Digital Media Using Content Features, INFORMS Data Science Conference, Phoenix, AZ

• Rajiv Garg, Pat Brockett, Linda Golden, Yuxin Zhang (2018); Understanding the Customer Market-place through Machine Learning, Geospatial Information and Social Media Text Mining, AMS World Marketing Congress, Porto, Portugal

• Rajiv Garg, John Butler, and Bryan Stephens (2018); Which Way I Ought to Go?  Career Trajectories of Entrepreneurs, Executives, and Senior Managers in High-Tech,Statistical Challenges in E-commerceResearch (SCECR), Rotterdam, Netherlands

• Rajiv Garg, Raj Raghunathan, Frenkel Terhofstede (2018); Personality Matching for Improving Mobile In-App Advertising Effectiveness,Statistical Challenges in E-commerce Research (SCECR), Rotterdam, Netherlands

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan, and Frenkel Terhofstede (2018); Cross-Platform Spillover Effects in Consumption of Rich Digital Media:  A Quasi-Experimental Analysis Using Synthetic Controls, Statistical Challenges in E-commerce Research (SCECR), Rotterdam, Netherlands

• Haris  Krijestorac,  Rajiv  Garg  (2018);  Predicting  Popularity  of  Rich  Digital  Media  Using  Content Features,Statistical Challenges in E-commerce Research (SCECR), Rotterdam, Netherlands

• Rajiv Garg, Pat Brockett, Linda Golden, Yuxin Zhang (2018); Rapid Estimation of Disaster Relief Fund Distribution:  Iterative  Learning  with  Diverse  Data  Inputs, Production  and  Operations  Management Annual Conference (POMS), Houston, TX

• Haris  Krijestorac,  Rajiv  Garg  (2018);  Predicting  Popularity  of  Rich  Digital  Media  Using  Content Features, Production and Operations Management Annual Conference (POMS), Houston, TX

2017

• Parshuram Hotkar, and Rajiv Garg (2017) Sequencing Social Media Advertising Campaigns,DSI Con-ference, India

• Pat  Brockett,  Rajiv  Garg,  Linda  Golden,  Yuxin  Zhang  (2017),  Rapid  Estimation  of  Disaster  Relief Fund  Distribution:   Iterative  Learning  with  Diverse  Data  Inputs,Advances  in  Predictive  Analytics Conference, University of Waterloo, Canada (invited keynote)

• Rajiv Garg, Raj Raghunathan, Frenkel Terhofstede; (2017) Mobile In-App Advertising Strategies forImproved CTR and Ad-Retention,Workshop on Information Systems and Economics (WISE), Seoul, S. Korea

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan, and Frenkel Terhofstede (2017) Cross-Platform Spillover Effects  in  Consumption  of  Rich  Digital  Media,Conference  on  Information  Systems  and  Technology (CIST), Houston, TX

• Parshuram Hotkar and Rajiv Garg (2017) Sequencing Social Media Advertising Campaigns, INFORMS Annual Meeting (Social Media Analytics), Houston, TX (best student paper award)

• Haris Krijestorac, Rajiv Garg, Vijay Mahajan, and Frenkel Terhofstede (2017) Cross-Platform Spillover Effects in Consumption of Rich Digital Media,Marketing Science Conference, Los Angeles, CA

• Rajiv Garg, Raj Raghunathan, Frenkel Terhofstede; (2017) Personality Matching for Improving Mobile In-App Advertising Effectiveness,Marketing Science Conference, Los Angeles, CA

• Parshuram  Hotkar  and  Rajiv  Garg  (2017)  Sequencing  Social  Media  Advertising  Campaigns, POMS Conference, Seattle, WA

2016

• Parshuram Hotkar and Rajiv Garg (2016) Sequencing Social Media Advertising Campaigns, Conferenceon Digital Economy (CODE), Hyderabad, India

• Rajiv Garg, and Anitesh Barua (2016) The Like Economy:  A Randomized Field Experiment to Assess the Value of Social Influence and Signaling,Statistical Challenges in E-commerce Research (SCECR), Naxos, Greece

• Haris Krijestorac, Rajiv Garg, Prabhudev Konana (2016); Impact of Digital Embeddedness on Organizational Purchase Behaviors,POMS Annual Conference, Orlando, FL

2015

• Rajiv  Garg,  John  Butler,  and  Bryan  Stephens  (2015)  Social  Networks  and  Regional  Advantages  in Technology Entrepreneurship,Workshop on Information Systems and Economics (WISE), Dallas, TX

• Rajiv Garg, and Anitesh Barua (2015) The Like Economy: A Randomized Field Experiment, Workshop on Information Systems and Economics (WISE), Dallas, TX

• Haris Krijestorac, Rajiv Garg, Prabhudev Konana (2015); Impact of Digital Embeddedness on Organizational Purchase Behaviors, INFORMS Annual Meeting, Philadelphia, PA

2014

• Rajiv Garg, and Anitesh Barua (2014) The Like Economy,INFORMS Annual Meeting, San Francisco,CA

2013

• Rajiv Garg,  and Rahul Telang (2013) Mobile App Demand and Price Elasticity,INFORMS  AnnualMeeting, Minneapolis, MN

• Rajiv  Garg,  and  Rahul  Telang  (2013)  App  Economy:  Estimating  Demand  and  Cost  Structure, The NBER Economics of IT and Digitization Workshop, Boston, MA

2012

• Rajiv Garg and Rahul Telang (2012) Estimating the Cost and Demand Structure of Investment in App Innovation, Workshop on Information Systems and Economics (WISE), Orlando, FL   

• ·Rajiv Garg and Rahul Telang (2012) Deep Dive on LinkedIn:  Maximizing the Job Search Outcomes from Online Social Networks,INFORMS Annual Meeting (invited), Phoenix, AZ

• Rajiv Garg and Rahul Telang (2012) To Be or Not to Be Linked on LinkedIn:  Online Social Networks and Job Search,The NBER Economics of IT and Digitization Workshop, Boston, MA

• Rajiv  Garg  and  Rahul  Telang  (2012)  Linking  on  LinkedIn:   An  Empirical  Analysis  of  Job  Search using Online Social Networks,The ZEW Conference on Information and Communication Technologies,Mannheim, Germany

• Rajiv Garg and Rahul Telang (2012) Me, My Online Friends, and My Job Search:  An Empirical Analysis Measuring the Role of Online Social Connections,Statistical Challenges in e-Commerce Research (SCECR), Montreal, Canada

• Rajiv Garg and Rahul Telang (2012) Do Social Connections Help in Finding a New Job? The  XVIII Organization Science Winter Conference (OSWC) (pre), Steamboat Springs, CO

2011

• Rajiv Garg and Rahul Telang (2011) Do Online Social Ties Help in Job Search?,Workshop on Information Systems and Economics (WISE), Shanghai, China

• Rajiv Garg and Rahul Telang (2011) Linking on LinkedIn.com:  An Empirical Analysis of Job Searchon Online Social Networks,Winter Conference on Business Intelligence, Salt Lake City, UT

2010

• Rajiv Garg, David Krackhardt, Mike Smith, and Rahul Telang (2010) Estimating Diffusion of Music on an Online Social Network,Winter Conference on Business Intelligence, Salt Lake City, UT

2009

•  Rajiv  Garg,  David  Krackhardt,  Mike  Smith,  and  Rahul  Telang  (2009)  Peer  Influence  and  Information  Diffusion  in  Online  Networks:  An  Empirical  Analysis,Conference  on  Information  Systems  and Technology (CIST), San Diego, CA

• Rajiv Garg, David Krackhardt, Mike Smith, and Rahul Telang (2009) Peer Influence and Information Diffusion in Online Networks,Symposium  on  Statistical  Challenges  in  Electronic  Commerce  Research (SCECR), Pittsburgh, PA

2002, 2001

• Rajiv Garg, Wei-Min Shen (2002) 3D Docking in Metamorphic Robots (poster), National Conference on Robotics, Naval Research Lab, Washington DC

• 2001·Rajiv  Garg,  Minoo  Akbarian,  Joo  P. Hespanha,  Margaret McLaughlin,  Gaurav S.  Sukhatme  (2001)Haptic Rendering of Earthquake Maps,Integrated Media Systems Center Annual Conference, Los An-geles, CA·

• Rajiv  Garg,  Minoo  Akbarian,  Weirong  Zhu,  Joo  P.  Hespanha,  Margaret  McLaughlin,  Gaurav S. Sukhatme (2001) Interaction of Heterogeneous Haptic Devices Over the WWW, Integrated Media Systems Center Annual Conference, Los Angeles, CA

Rajiv Garg, Mike Smith, Rahul Telang, "The Role of Peer Influence in Marketing on Online Social Networks" International Association of Business Communicators (2009)

Rajiv Garg. "Agile Software Development – NI Software Engineering Process" National Instruments (2005)

Rajiv Garg. "Data Acquisition in Microsoft .NET and Measurement Studio" National Instruments (2004)

Rajiv Garg. "Transition from Traditional NI-DAQ to NI-DAQmx in LabWindows/CVI" National Instruments (2004)

Rajiv Garg. "e-Video Learning: Low Cost HR Consulting Solutions" TTG Consultants (2003)

Rajiv Garg. "Search Engines: Architecture to Optimization" TTG Consultants (2003)