Keynote Speakers

  • Dr. Xiaowen Fu is a Professor in Engineering Management in the Department of Industrial and Systems Engineering, the Hong Kong Polytechnic University. His main research area is transport economics and management. He has provided advisory and modelling services to organizations such as the Boeing Commercial Aircraft, New Zealand Commerce Commission, Australian Competition and Consumer Commission, Government of British Columbia in Canada, Australian Competition Tribunal, Hong Kong Transport and Housing Bureau, Japan Rail (East), and OECD. He is an editor of the journal of Transport Policy, Vice President (Research) of the Air Transport Research Society, Vice President (Research) of the Institute for Aviation (UK), founding chair of the Maritime Economy and Policy stream of the World Transport Convention, and an honorary professor of the University of Sydney Business School.

    Abstract: This study empirically identifies business travellers’ preferences during the COVID-19 pandemic across different regions. A stated preference study was conducted on respondents in the U.S., the city of Shanghai in mainland China and Hong Kong. Generalised mixed multinomial logit (GMXL) models are estimated incorporating attributes of travel characteristics, severity levels of the pandemic, and health control measures at the airport. Online meeting reduces the intention of international business travel amid the pandemic for passengers in Shanghai and Hong Kong, but imposes no significant effects on U.S. travellers. Such significant heterogeneity in traveller preference partly explains the different recovery patterns observed in various aviation markets, and justifies individualized travel arrangements and service priority in fulfilling pandemic control requirements across different regions. Our study also suggests that there are commonly accepted areas for global cooperation such as the sharing of vaccination record, and the option of online meeting calls for convenient travel arrangements amid pandemic to all countries.

  • Xu Chen is Professor of operations and supply chain management at School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China. His current research interests include coopetition management, supply chain management, and operations management. His publications have appeared in Production and Operations Management, IISE Transactions, IIE Transactions, European Journal of Operational Research, OMEGA-International Journal of Management Science, Journal of Business Research, IEEE Transactions on Engineering Management, IEEE Transactions on Systems Man and Cybernetics: Systems, International Journal of Production Economics, International Journal of Production Research, Journal of the Operational Research Society, Annals of Operations Research, and other journals. His research has been supported by grants from the National Sciences Foundation of China (NSFC), Major Program of National Social Science Foundation of China (NSSFC), and National Key R&D Program of China.

    Abstract: Capacity sharing can effectively address the supply-demand mismatch by optimizing the capacity allocation of the participating manufacturers. To explore the effects of capacity sharing on consumers, manufacturers, and social welfare, we consider two manufacturers that produce and sell partially substitutable products in the market and explore two capacity sharing service fee policies, namely, a fixed lump-sum fee model and a mixture of fixed fee and unit rate model. By comparing the equilibrium profits in the two policies with the benchmark competition model, we find that the relative benefits of capacity sharing depend on the trade-offs between the increased profits and losses caused by intensified competition with the rival manufacturer. The benefits and losses associated with capacity sharing are influenced by several key factors, including the product substitution rate, the unit production cost difference between the two manufacturers, and interfirm bargaining power. We extend our analysis to the asymmetric case where the manufacturers’ maximum retail prices are not identical, further illustrating the impact of the market feature on firms’ decisions about capacity sharing.