報告人：美國俄亥俄州立大學萬翔 副教授
時間：2022年3月9日(周三)21:00-22:30
騰訊會議號：888 204 558
報告人簡介：
萬翔，博士，現任美國俄亥俄州立大學費舍爾商學院副教授，主要研究方向包括供應鏈管理、產品和服務多樣化管理、庫存管理、供應鏈的協調合作和科技創新；其相關科研成果發表在Manufacturing & Service Operations Management、Strategic Management Journal、Production and Operations Management、Journal of Operations Management、Journal of Business Logistics等國際知名學術期刊。萬翔教授被華爾街日報評為12個供應鏈大數據應用專家之一，現任Decision Sciences和Journal of Operations Management副主編。
報告內容簡介：
We explore the influence of an artificial intelligence (AI) application in the airline industry: facial recognition at airports on flight on-time performance and passenger sentiment. Implementing facial recognition at airports has two potential benefits to passengers: time-saving and travel convenience.The contactless technology speeds up the curb-to-gate process and generates convenience for passengers by reducing the travel document requirements. However, there are some uncertainties associated with these potential benefits. First, the time-saving of document checks at check-in, baggage drop, security check, and boarding may not be successfully transferred to better on-time performance. If not, passengers may board quicker but wait in an airplane longer for departures. Second, some passengers may be concerned about the private information used by the facial recognition technology and resistant to it. In this study, we exploit the first terminal-wide implementation of facial recognition in the U.S. Our results suggest that facial recognition reduces departure and arrival delays of flights but does not increase early departure or early arrivals. This improvement on on-time performance is larger for flights on monopoly routes and flights with larger seat capacity. Meanwhile, the overall passenger sentiment decreases after facial recognition. We unveil the mechanism that increases in passengers' negative sentiment due to the concern on privacy leakage is greater than their positive sentiment through improved on-time performance and travel convenience. These findings offer an understanding of facial recognition implementation and provide guidance toairlines, airport managers, and policymakers that consider implementing curb-to-gate biometric terminals.
承辦：管理科學與物流系、科研與學術交流中心
