信息系统与数字化商务国际前沿系列讲座

讲座信息（一）

报告题目：The Effects of Signaling Blockchain-based Track and Trace on Consumer Purchases: Insight from a Quasi-natural Experiment

报告时间：2022年5月21日（星期六）上午8：10-9：10

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Xiaosong Peng

工作单位：Lehigh University

举办单位：合肥工业大学管理学院

报告简介：

The blockchain-based track and trace (BCT) is increasingly adopted in the retail supply chain. Despite popular press showcasing success stories of blockchain implementations, there is little rigorous empirical evidence demonstrating the real benefits of the blockchain. We suggest that the blockchain not only can streamline backend supply chain operations, but also has a consumer-facing and “social” aspect to it. Drawing on signaling theory, we suggest that BCT can enhance supply chain transparency and reduce information asymmetry of product quality between sellers and consumers with high reliability. Using transaction data from a leading global e-retailer that contains 540 SKUs and spanning 80 weeks, we design a quasi-natural experiment to estimate the effects of BCT signaling on customer purchases of food and nutrition products. Our research uncovered the significant positive effect of BCT on the number of unique visitors, the number of new buyers, the total number of buyers, and the sales quantity per buyer. We also found nuanced moderation effects of product characteristics. Specifically, the positive effect of BCT is magnified for products that have inconsistent customer reviews, and for products sourced globally. These findings suggest that BCT and other social technologies, specifically consumer generated online reviews, can jointly impact consumer purchases. Our post-hoc analysis suggests varying effects of BCT across product categories, and signaling effect is stronger for product with higher quality evaluation cost. Together, our findings provide rigorous empirical evidence that BCT can increase website traffic and revenue, and shed light on the characteristics and categories of products that can benefit from BCT.

报告人简介：

Xiaosong Peng is professor and Dean’s Chair in the College of Business, Lehigh University.Dr. Peng teaches and conducts research in supply chain and sourcing strategy, and service and manufacturing technology management, healthcare operations management, and empirical research methods. Dr. Peng’s research has appeared in Journal of Operations Management, Production and Operations Management, Decision Sciences, Journal of Supply Chain Management, among others. He is currently department editor for Journal of Operations Management, senior editor for Production and Operations Management, and associate editor for Decision Sciences and Journal of Supply Chain Management.

讲座信息（二）

报告题目：How Uber Is Shaping Public Transit System: A Counterfactual Estimator Approach

报告时间：2022年5月21日（星期六）上午9：10-10：10

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Liangfei Qiu

工作单位：University of Florida

举办单位：合肥工业大学管理学院

报告简介：

The new sharing economy model has introduced a dramatic, disruptive impact on the traditional industries by matching the demand and supply in real-time. In this paper, we examine how the entry of Uber, a ride-sharing services digital platform, brings new disruptive changes in public transportation operations. Significant debate has surrounded whether the new ride-sharing model siphoned riders from public transit or made public transit feasible for more riders, but no consensus has been reached. One reason could be that the commonly used difference-in-differences empirical strategy fails to account for time-varying unobserved confounders. To address this issue, we introduce a class of counterfactual estimators (CEs) to strengthen our causal identification and perform diagnostic tests to validate model assumptions for each CE. A significant drop in passenger trips with buses is found after Uber entry from both the conventional two-way fixed effects model and the counterfactual estimators. Moreover, we provide empirical evidence that the entry of Uber has not significantly affected public demand response transportation, which indicates that Uber is not directly competing with other transportation services that aim to solve the “last mile problem.” Last, our additional analyses suggest that the effect of Uber entry is not uniform for different urban areas. All these empirical findings can be coherently explained in our framework of the substitution effect of Uber.

报告人简介：

Liangfei Qiu is the PricewaterhouseCoopers Associate Professor and University Term Professor at Warrington College of Business, University of Florida. He also serves as the Ph.D. coordinator for the Department of Information Systems and Operations Management. He received his Ph.D. in Economics from the University of Texas at Austin. He also holds an M.S. in Economics from the University of Texas at Austin, an M.A. in Economics from CCER, Peking University in China, and a Bachelor’s degree in Economics from Zhejiang University in China. His current research focuses on social technology (social networks, social media, and prediction markets), platform technology (sharing/gig economy, e-commerce platforms, and healthcare analytics), telecommunications technology, and Fintech. His research has appeared in premier academic journals, including Information Systems Research, MIS Quarterly, Production and Operations Management, Journal of Management Information Systems, and Decision Support Systems. He received the INFORMS Information Systems Society Sandy Slaughter Early Career Award and Association for Information Systems (AIS) Early Career Award in 2019. He is currently an Associate Editor for MIS Quarterly, a Senior Editor for Production and Operations Management, and an Associate Editor for Decision Support Systems. He was ranked 1st in the world in the number of publications in the top three Information Systems journals (ISR, MISQ, and JMIS) for 2017-2021, and was ranked 2nd in the world in the number of publications in the top two Information Systems journals (ISR and MISQ) for 2017-2021. He is the author of the book titled “Social Media Analytics and Practical Applications: The Change to the Competition Landscape.”

讲座信息（三）

报告题目：Infectious Confidence: Unraveling the Effects of Confidence Contagion on Overfunding in Equity Crowdfunding

报告时间：2022年5月21日（星期六）上午10：10-11：10

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Chee-Wee Tan

工作单位：Copenhagen Business School

举办单位：合肥工业大学管理学院

报告简介：

Overfunding was touted as extraordinary success in equity crowdfunding since fundraisers receive more funds than the intended funding goal. A novel theoretical lens is in demand for comprehending why funders show an exceptional level of enthusiasm in supporting certain equity crowdfunding campaigns that far exceeds their fundraisers’ original expectations. Building on extant literature on contagion effect, we construct a research model that posits confidence contagion enacted by confidence cues embedded in campaign materials as a key driver of overfunding. Our hypotheses were validated in two complementary empirical studies. In Study 1, we manipulated confidence cues in a controlled experiment to verify the enactment of confidence contagion at the individual level. Analytical results indicate that individual funders can perceive self-confidence traits from confidence cues embedded in campaign materials and assimilate fundraisers’ confidence via a spontaneous social appraisal mechanism. In turn, confidence contagion can drive funders to congregate and invest in a campaign. In Study 2, we analyzed a secondary dataset collected from a leading equity crowdfunding platform to discern how confidence contagion drives overfunding at the collective level. By modeling funding activities as a Hawkes process, we derived three key metrics that govern the emergence and magnitude of funding surges. We demonstrated that these metrics of funding surges mediate the impact of confidence cues on the level of overfunding for each equity crowdfunding campaign. Findings from this study can inform future research that seeks to untangle the interdependencies between individual and collective mechanisms underlying crowd phenomena. Fundraisers who could benefit from excessive funds can harness insights from this study to strategize their campaigns. Likewise, crowdfunding platforms can leverage on our findings to predict the extent of overfunding and advise fundraisers accordingly.

报告人简介：

Chee-Wee Tan is a Professor at the Department of Digitalization in Copenhagen Business School (CBS), an Honorary Professor of Business Analytics and Digitalization at the Nottingham University Business School China in the University of Nottingham Ningbo China (UNNC), an Adjunct Professor at the School of Business in Monash University, a Distinguished Research Scholar at the Faculty of Business in Lingnan University (LNU), a Guest Professor at the School of Management in the University of Science and Technology of China (USTC), and a Visiting Professorial Fellow at the School of Information Systems and Technology Management in University of New South Wales (UNSW). He received his Ph.D. in Management Information Systems from the University of British Columbia. His research interests focus on design and innovation issues related to digital services. His work has been published in leading peer-reviewed journals such as MIS Quarterly (MISQ), Information Systems Research (ISR), Journal of Management Information Systems (JMIS), Journal of the Association for Information Systems (JAIS), Journal of the American Society for Information Science and Technology (JASIST), European Journal of Information Systems (EJIS), and Decision Support Systems (DSS), among others. Apart from his current appointment as a Senior Editor for MISQ, Chee-Wee is currently serving on the editorial boards for ACM Distributed Ledger Technologies: Research and Practice (DLT), Industrial Management & Data Systems (IMDS), IEEE Transactions on Engineering Management (IEEE-TEM), Information & Management (I&M), Internet Research (IntR), Journal for the Association of Information Systems (JAIS), Journal of Computer Information Systems (JCIS), and Journal of Management Analytics (JMA). Finally, Chee-Wee is the co-director of the joint research center between CBS and the Antai College of Economics and Management (ACEM) in Shanghai Jiao Tong University (SJTU) as well as the Vice President (Designate) of Publications for the Association for Information Systems (AIS).

讲座信息（四）

报告题目：The Role of Social Media in Financial Markets

报告时间：2022年5月21日（星期六）下午14：00-15：00

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Hailiang Chen

工作单位：The University of Hong Kong

举办单位：合肥工业大学管理学院

报告简介：

In this talk, I present a series of research studies that examine the role of social media in financial markets. Specifically, I examine the following research questions: (1) Do social media opinions disseminated on social media help predict future stock returns? (2) How does monetary incentive affect stock recommendations on social media? (3) How can signal be distinguished from noise on social media to make better predictions of Bitcoin returns? (4) How does fake news on social media affect investor attention and stock returns? and (5) How does investors’ impression management behavior lead to bias in social media transmission?

报告人简介：

Hailiang Chen is an Associate Professor in Innovation and Information Management at HKU Business School, The University of Hong Kong. He received a doctoral degree in Management Information Systems and a master degree in Economics from Purdue University and a bachelor degree in Information Management and Information Systems from Tsinghua University. His research interests include social media, FinTech, big data, artificial intelligence, mobile commerce, economics of information systems, and design science. His research has been published in elite business journals in information systems, finance, and management, including Information Systems Research (ISR), Journal of Financial Economics (JFE), Journal of Management Information Systems (JMIS), Management Science (MS), Review of Financial Studies (RFS), and Strategic Management Journal (SMJ). His research received media coverage in outlets such as Wall Street Journal, Forbes, New York Times, Reuters, Seeking Alpha, TechSpot, and so on.

讲座信息（五）

报告题目：More than Words in Medical Question-and-Answer Sites: A Content-Context Congruence Perspective

报告时间：2022年5月21日（星期六）下午15：00-16：00

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Chih-Hung Peng

工作单位：National ChengChi University

举办单位：合肥工业大学管理学院

报告简介：

Given the popularity and prevalence of medical question-and-answer (Q&A) services, it is increasingly important to understand what constitutes a helpful answer in the medical domain. Prior studies on user-generated content have examined the independent impacts of content and source characteristics on reader perception of the content's value. In the setting of medical Q&A sites, we propose a novel content-context congruence perspective with a focus on the role of congruence between an answer’s content and the answer’s contextual cues. Specifically, we identify two types of contextual cues critical in this unique setting—the language attributes (i.e., concreteness and emotional intensity) of the question’s content, and the acuteness of the disease to which the question is related. Building on the priming literature and construal-level theory, we hypothesize that an answer will be perceived as more helpful if the language attributes of the answer’s content are congruent with those of the preceding question, and if they are congruent with the disease’s acuteness. Analyses of a unique data set from WebMD Answers provide empirical evidence for our theoretical model. This research deepens our understanding of readers’ value judgment of online medical information, demonstrates the importance of considering the congruence of content with contextual cues, and opens up exciting opportunities for future research to explore the role of content-context congruence in all varieties of user-generated content. Our findings also provide direct practical implications for knowledge contributors and Q&A sites.

报告人简介：

Chih-Hung PENG is currently an Associate Professor in Management Information Systems at College of Commerce, National ChengChi University. Prior to joining National ChengChi University, he was on the faculty of City University of Hong Kong. He earned a PhD in Information Technology Management from Georgia Institute of Technology. His research interests include virtual team, social media, organizational innovation, and service innovation. His research appeared in Information Systems Research, Journal of Management Information Systems, Journal of the Association for Information Systems, IEEE Transactions on Engineering Management, Internet Research, and AIS Transactions on Human-Computer Interaction.

讲座信息（六）

报告题目：SEPARATE VERSUS JOINT EVALUATION: THE ROLES OF EVALUATION MODE AND CONSTRUAL LEVEL IN TECHNOLOGY ADOPTION

报告时间：2022年5月21日（星期六）下午4：00-5：00

报告地点：线上报告（腾讯会议：792-701-902）

报告人：Weiling Ke

工作单位：南方科技大学

举办单位：合肥工业大学管理学院

报告简介：

Nowadays, people are faced with choices between or among alternative systems (joint evaluation, or JE mode), as opposed to evaluating only one system in isolation (separate evaluation, or SE mode). This research investigates how users make technology adoption decisions in these two contexts. Based on the context-specific theorization framework proposed by Hong et al. (2014) and integrating general evaluability theory and construal level theory, we theorize how evaluation mode (JE versus SE), as a usage context variable, interacts with other aspects of IS contexts to influence technology adoption. The IS contexts considered in this work include a user characteristic variable (construal level) and technology-related factors (perceived ease of use, PEoU, and perceived usefulness, PU). In two studies (N = 272 and N = 112), participants were presented with two new e-learning systems either in JE or SE mode. Because study (1) was conducted in two natural settings and study (2) had participants randomly assigned to manipulated evaluation modes, these two studies complement each other to offer internal and external validities. We found that in JE a higher construal level strengthened the effect of PEoU but weakened that of PU on technology adoption. These effects were reversed in SE. The findings suggest that users’ technology choices and preferences can be reversed by simply presenting the target system in different ways.

报告人简介：

Weiling KE is a professor in Information Systems with School of Business at Southern University of Science and Technology. Her research focuses on the management of IT-enabled innovations, such as Supply Chain Integration, Enterprise Systems and Open Innovations. Weiling has served as an Associate Editor or Senior Editor for journals such as Decision Support Systems, Information & Management, Information Systems Journal, and IT & People. Her research work has been published with top journals including MIS Quarterly, Information Systems Research, Journal of Operations Management, Journal of Management Information Systems, Journal of the Association for Information Systems, Journal of Business Ethics and Personnel Psychology.