管理科学系学术讲座

时间：2024年6月25日（周二） 10:00-11:30

地点：管理学院思源楼524室

主题：Agricultural E-Commerce and Traceability: Impact on Chemical Use in Developing Regions

主讲人：Shiliang Cui Operations and Analytics area at the McDonough School of Business at Georgetown University

崔诗亮副教授乔治城大学麦克多诺商学院

摘要:

In developing regions worldwide, traditional agricultural practices face several obstacles. One significant challenge stems from inadequate transportation infrastructure, which necessitates the involvement of multiple intermediaries to link farmers with consumers. Consequently, farmers receive only a fraction of the price paid by end consumers after each intermediary takes their share of profits. Another pressing issue is the overuse of harmful chemical fertilizers and other agents by farmers aiming to boost yields, making food unsafe to eat and causing great harm to the environment. While there is optimism that agricultural e-commerce and traceability technologies can alleviate these challenges, their risk implications remain uncertain. Employing a game-theoretical model, our analysis reveals that small-scale farmers exhibit a higher propensity to rely on chemical usage rather than adopting e-commerce and traceability technologies, whereas large-scale farmers are more inclined to adopt technologies over chemical usage. We show that an unexpected outcome can emerge when farmers are provided with these technologies that are intended to achieve quality assurance and full traceability. Specifically, the provision of these technologies can unexpectedly result in an overall increase in chemical usage among farmers.

简介：

Shiliang Cui is a faculty member in the Operations and Analytics area at the McDonough School of Business at Georgetown University. His research has been published in Management Science, Operations Research, Manufacturing & Service Operations Management, Production and Operations Management, and others. He currently serves as an Associate Editor for Manufacturing & Service Operations Management and a Senior Editor for Production and Operations Management.

时间：2024年6月28日（周五） 10:00-11:30

地点：管理学院思源楼524室

主题：Does Objective Service Quality Guarantee Subjective Service Quality?

Exploring the Influences of Curb-To-Gate Facial Recognition on Flight On-Time Performance and Passenger Sentiment

主讲人：万翔 俄亥俄州立大学费雪商学院教授

主持人：吴肖乐复旦大学管理学院教授

摘要:

Problem definition: This paper examines the influence of an artificial intelligence (AI) application – facial recognition technology at airports – on both on-time performance (an objective service quality) and passenger sentiment (a subjective service quality). As for on-time performance, while facial recognition at airports has the potential to save time during check-in and boarding procedures, flight departures could be delayed due to the inaccuracy of this immature technology. As for passenger experience, while facial recognition provides a more convenient method of verifying travel documents, privacy concerns may offset the passengers’ positive sentiment on convenience. Therefore, the impacts of facial recognition on both objective and subjective service quality remain uncertain and require further empirical investigation. Methodology/results: In this study, we exploit the first terminal-wide implementation of facial recognition in the U.S. and examine its impact on both objective and subjective measures of service quality. For objective service quality, our analysis of flight on-time status data reveals a reduction in departure delays and arrival delays but no increase in early departures or early arrivals. Interestingly, the improvement in on-time performance is smaller for flights to destinations in Asia and Africa with fewer non-white passengers, and greater for flights with larger seat capacity. For subjective service quality, we apply topic models and sentimental analyses of Twitter data, and find that overall passenger sentiment decreases after the launch of facial recognition, contrary to the improvement in the objective service quality: the on-time performance. A deeper investigation uncovers that privacy concerns emerge as a latent theme in passenger tweets, whereas the theme of convenience does not significantly increase after the launch of facial recognition. Managerial implications: Taken together, these observations demonstrate that improved objective service quality does not always translate into positive consumer sentiment. These findings offer valuable insights for airlines, airport managers, and policymakers in the air transportation industry who are considering implementing curb-to-gate biometric terminals.

简介：

Dr. Xiang(Sean) Wan is a professor in the Department of Marketing and Logistics at Fisher College of Business, The Ohio State University. Prior to this role, he held faculty positions at the University of Tennessee and Marquette University.

Dr. Wan earned his Ph.D. in Business Administration with a major in Supply Chain Management from the Robert H. Smith School of Business at the University of Maryland. During his doctoral program, he received Top 15% Teaching Awards in 2009 and 2010 at the Robert H. Smith School of Business as well as the Krowe Award for Teaching Excellence in 2010 and the Allan N. Nash Award for outstanding doctoral student in 2011.

Dr. Wan’s research interests include product and service variety management, order fulfillment, and innovative technology. His research work has been published in highly recognized journals including Manufacturing and Service Operations Management, Strategic Management Journal, Production and Operations Management, Journal of Operations Management, Decision Sciences Journal, and Journal of Business Logistics, among others.

Dr. Wan’s research has made significant impacts in academia and industry. He received the Doctoral Dissertation Award from the Council of Supply Chain Management Professionals in 2012. Additionally, his research has been cited and discussed in practitioner articles, including “SKU Proliferation: Too Much or Not Enough?” published at Deloitte University Press and “A Key To Entrepreneurial Success: Stick To What You Know” published at Forbes.

Furthermore, an article from the Wall Street Journal recognized Dr. Wan as one of "12 Academic Experts [Who] Make Sense of Consumer-Centric Big Data with Adaptive Analytics."