时间：2019年5月14日（周二）9:00-11:00、14:30-16:30
讲座地点：群贤二204
演讲人：Arun Rai
演讲人简介：Arun Rai is Regents’ Professor of the University System of Georgia and holds the Robinson and Harkins Chairs at Georgia State University’s Robinson College of Business. He is serving as the Editor-in-Chief of the MIS Quarterly, where he is implementing a trifecta vision focused on impact of work, range in perspectives and methods, and speed of editorial processes.
Dr. Rai’s research has examined how organizations can leverage information technologies in their strategies and processes, and how digital innovation can address business and societal problems. He is the co-founder and Director of the Center for Process Innovation, an interdisciplinary research center that leverages industry-university partnerships toward impactful research. His former Ph.D. students hold leadership positions at major journals, universities, and professional organizations. He was named Fellow of the Association for Information Systems for outstanding contributions to the Information Systems discipline in research, teaching and service and received the INFORMS Information Systems Society Distinguished Fellow Award for outstanding intellectual contributions to the IS discipline.
主持人：蔡舜（皇冠hg1088官方管理科学系教授）
第一场讲座题目：Avoiding Type III Errors: Formulating IS Research Problems that Matter
讲座摘要：Type III errors occur when a researcher answers the wrong question using the right methods. A lot of effort may be expended, a great deal of methodological rigor may be applied, but coming up with the right answer to the wrong question does not create value. Understandably, this can be frustrating for authors of such work when their peers do not judge the work favorably. It is also a missed opportunity for the field when scare resources of scholars in the community are directed at the wrong research questions.
I will discuss a key aspect of the research process—problem formulation— that dramatically influences the research question that is addressed, the value that is created by a research study, and the likelihood of the work generating a significant contribution. I focus on this aspect of the research process, as it is where less attention tends to be placed by scholars even though it is a process riddled with misconceptions, risks, and common errors that can lead to Type III errors.
第二场讲座题目：Getting Behind Closed Doors: Developing Fan Engagement in Subscription-Based Crowdfunding
讲座摘要：Subscription-based crowdfunding (SBC) is an emerging platform for creators of digital experiential content (e.g., music, comics, stories, videos) to build their brand and garner support from fans. A unique feature which sets SBC apart from other crowdfunding model is recurrent funding in which creators can convert their fans into backers and receive regular (e.g., monthly) payments to sustain their ongoing creative activities. We investigate how financial (size of backer base) and nonfinancial (backer participation) SBC metrics of fan engagement are influenced by creator’s two information control choices: (1) revealing vs. concealing their earnings information and (2) engaging in private exchange with backers. Adopting a brand management perspective, we posit that earnings concealment and private exchange promote fan engagement. By concealing their earnings, creators avoid distracting their fans’ attention from what they create to how much money they make and avert undesirable social comparisons based on whether they earn too much or too little. By structuring the exchange to be private, creators provide their backers with personalized interactions and exclusive content. To test our hypotheses, we obtain data from a large SBC platform. Our panel data contains monthly observations of 92,850 creators from August 2016 to December 2017. We employ deep learning and machine learning techniques to detect creator markets, from which we derive several control and instrumental variables. Results from our empirical analyses provide evidence that creators can enhance fan engagement through a combination of earnings concealment and private exchange. These results are validated in a number of robustness and falsification tests and are consistent across creator micro-markets. We discuss the theoretical and practical implications of our findings.
