Information asymmetry evaluation in hotel E-commerce market: Dynamics and pricing strategy under pandemic

作者：

Highlights：

• Technological progress in the era of e-commerce makes information asymmetry complicated in hotel market.

• Stochastic Frontier Approach (SFA) estimation further verifies that asymmetry is related to multivariate variables such as location, traveller type and operation type.

• The pandemic provides a natural intervention which decreased the asymmetry in lodging price information.

• Among the six regions studied, the mean range of information equity degree increased from the original 0.634-0.832 to 0.7633-0.866.

摘要

•Technological progress in the era of e-commerce makes information asymmetry complicated in hotel market.•Stochastic Frontier Approach (SFA) estimation further verifies that asymmetry is related to multivariate variables such as location, traveller type and operation type.•The pandemic provides a natural intervention which decreased the asymmetry in lodging price information.•Among the six regions studied, the mean range of information equity degree increased from the original 0.634-0.832 to 0.7633-0.866.

论文关键词：Information asymmetry,Stochastic frontier analysis,Pricing information,COVID,SFA

论文评审过程：Received 29 April 2022, Revised 16 September 2022, Accepted 9 October 2022, Available online 18 October 2022, Version of Record 18 October 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.103117