Research

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Overview I am a quantitative modeler interested in problems related to technological innovation. My resarch addresses the problems facing practitioners as they leverage crowdsourcing and social media internally and externally to improve their productivity and profitability. My work is among the first to look into the economic processes that shape participants’ behavior in various forms of enterprise social media and crowdsourcing initiatives. In these studies, I combine economic theories, econometrics, structural modeling and Bayesian modeling methodologies and delve into individual decision-making mechanism in these different contexts. Decision primitives estimated from the data are used to simulate the effect of new policies. The evaluation of new policies provides rich managerial implications and strategic recommendations.  Research Interests · Topics: Crowdsourcing, Social Media, Digital Markets, Online Markets · Methodologies: Economic Theories, Econometrics, Structural Modeling, Bayesian Modeling Completed Papers · A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media, with Param Vir Singh and Anindya Ghose, Under Third Round Review at Management Science (Abstract) (Paper). · Crowdsourcing New Product Ideas under Consumer Learning, with Param Vir Singh and Kannan Srinivasan, Under Preparation of Second Round Review at Management Science (Abstract) (Paper). · An Empirical Analysis of Digital Music Bundling Strategy, with Brett Danaher, Michael D. Smith and Rahul Telang, Under First Round Review at Management Science (Abstract). Work in Progress · Crowdsourcing Contests: A Dynamic Structural Model of the Impact of Incentive Structure on Solution Quality, with Param Vir Singh and Tridas Mukhopadhyay (Abstract). · Learning to Win in Crowdsourcing Contests: A Dynamic Structural Analysis, with Anindya Ghose and Param Vir Singh. · The Negative Impact of Groupon Usage on Store Review: An Analytical Analysis, with Param Vir Singh and Kannan Srinivasan. Conference/Workshop Papers and Presentations · Crowdsourcing Contests: A Dynamic Structural Model of the Impact of Incentive Structure on Solution Quality, with Param Vir Singh and Tridas Mukhopadhyay, International Conference on Information Systems (ICIS 2012), Orlando, FL, December, 2012. · A structural Analysis of the Incentive Structure Design in Crowdsourcing Contests, with Param Vir Singh and Tridas Mukhopadhyay, Workshop on Information Systems Economics (WISE 2012), Orlando, FL, December, 2012. · How to Design Crowdsourcing Contests: A Structural Empirical Analysis, with Tridas Mukhopadhyay, Conference on Information Systems and Technology (CIST 2012), Phoenix, AZ, October, 2012 (Best Student Paper Award). · An Empirical Analysis of Digital Music Bundling Strategy, with Brett Danaher, Michael D. Smith and Rahul Telang, INFORMS Marketing Science Conference, Boston, MA, June, 2012. · Crowdsourcing New Product Ideas under Consumer Learning, with Param Vir Singh and Kannan Srinivasan, INFORMS Marketing Science Conference, Boston, MA, June, 2012. · Crowdsourcing “Blockbuster” Ideas: A Dynamic Structural Model of Ideation, with Param Vir Singh and Kannan Srinivasan, International Conference on Information Systems (ICIS 2011), Shanghai, China, December, 2011. (download) · Can Crowds Contribute “Feasible Blockbuster” New Product Ideas?, with Param Vir Singh and Kannan Srinivasan, Workshop on Information Systems Economics (WISE 2011), Shanghai, China, December, 2011. · Crowdsourcing “Blockbuster” Ideas: A Dynamic Structural Model of Ideation, with Param Vir Singh and Kannan Srinivasan, Conference on Information Systems and Technology (CIST 2011), Charlotte, NC, November, 2011. · Crowdsourcing “Blockbuster” Ideas: A Dynamic Structural Model of Ideation, with Param Vir Singh and Kannan Srinivasan, INFORMS 2011, Charlotte, NC, November, 2011. · A Structural Model of Employee Behavioral Dynamics in Enterprise Social Media, with Param Vir Singh and Anindya Ghose, INFORMS Marketing Science Conference, Houston, TX, June, 2011. · Show Me the Incentives for Blogging: A Dynamic Structural Model of Employee Behavior, with Param Vir Singh and Anindya Ghose, International Conference on Information Systems (ICIS 2010), St. Louis, MO, December, 2010. (download) · Adoption of Open Source Software in Governmental Context: A Positivistic Case Study in China, with Xunhua Guo and Nan Zhang, International Conference on Information Systems (ICIS 2010), St. Louis, MO, December, 2010. (download) · An Empirical Analysis of Competitive Dynamics in Enterprise Social Media, with Param Vir Singh and Anindya Ghose, Workshop on Information Systems Economics (WISE 2010), St. Louis, MO, December, 2010. · An Empirical Analysis of Competitive Dynamics in Enterprise Social Media, with Param Vir Singh and Anindya Ghose, Conference on Information Systems and Technology (CIST 2010), Austin, TX, November, 2010. Invited Talks · Crowdsourcing New Product Ideas under Consumer Learning, Human-Computer Interaction Research Seminar, Human Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, December, 2011. · Crowdsourcing New Product Ideas under Consumer Learning, Information Systems Research Seminar, Tepper School of Business, Carnegie Mellon University, Pittsburgh, PA, October, 2011. · Show Me the Incentives for Blogging: A Dynamic Structural Model of Employee Behavior, Machine Learning and Data Mining Research Seminar, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, November, 2010. Awards and Honors · Best Student Paper Award, Conference on Information Systems and Technology 2012 · The Center for the Future of Work Funding Recipient 2012 · The Heinz College Outstanding Teaching Assistant Award Nomination 2012 · Graduate Student Travel Support Fellowship 2010, 2011 · Suresh Konda Award (for best Ph.D. Student 1st Research Paper) 2010-2011 · Excellent Graduate of Tsinghua University 2009