Insights

During peak hours in the morning and evening or on holidays, users always complain about the “pains” in taxi-hailing and soaring prices. As online taxi-hailing markets continue to expand, the problem of uneven demand distribution has not yet been effectively solved. According to research, the number of Uber users during peak hours is four times that on weekdays, yet less than half of their demands are satisfied. How to solve this problem? A Study of Ride-Hailing Platforms’ Business Models in the Presence of Surge Demand, co-authored by Professor Jiang Zhengrui from the School of Management and Economics (SME), The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen); Feng Haiyang, Feng Nan, and Li Minqiang, all from Tianjin University; and Zhang Ling from Shijiazhuang Tiedao University, systematically reveals the logic behind the selection of business models on online taxi-hailing platforms in the presence of “peak demand” for the first time. The study was published in Information Systems Research, a top international journal in information systems.

About the Author

Jiang Zhengrui

Professor, SME, CUHK-Shenzhen

Research

Business Intelligence and Analytics, Optimization/Decision-making under Uncertainty, Diffusion of Technological Innovations, and Economics of Information Technology

Co-authors

Haiyang FENG

Tianjin University

Nan FENG

Tianjin University

Ling Zhang

Shijiazhuang Tiedao University

Minqiang LI

Tianjin University