Price Competition, Experiential Quality and Online Marketing Decisions of a Tourism Supply Chain

ABSTRACT

This study examines the price competition, experiential quality and online marketing decisions of a tourism supply chain, consisting of a tourism operator and two online retailers. The equilibrium solutions and the conditions for unique optimal solutions are derived in three supply chain strategies. This study also investigates performance improvement measures, including the operator’s involvement in online marketing and online reviews for quality improvement. An experimental analysis is conducted to compare supply chain performance and provide tourism managerial insights. The investigation provides a reference for tourism policies that could assist in improving experiential quality and operation performance.

摘要

本研究考察了由一个旅游运营商和两个在线零售商组成的旅游供应链的价格竞争, 体验质量和在线营销决策。推导了三种供应链策略的均衡解和唯一最优解的条件。本研究还调查了绩效改进措施, 包括运营商参与在线营销和基于在线评论的质量改进。一项实验分析用于比较供应链绩效, 并提供旅游管理见解。该调查为有助于提高体验质量和运营绩效的旅游政策提供了参考。

KEYWORDS:

• Tourism supply chain
• price competition
• experiential quality
• online marketing
• online reviews

关键词:

• 旅游供应链
• 价格竞争
• 体验质量
• 在线营销
• 在线评论

Acknowledgments

The authors acknowledge the support of research fund from the National Natural Science Foundation of China (No. 72271228, 71771207, 71988101, 72041029), the National Center for Mathematics and Interdisciplinary Sciences, CAS.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [72271228, 71771207, 71988101, 72041029].

Notes on contributors

Gang Xie

Gang Xie is an Associate Professor at the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. His research interests include economic forecasting, tourism management and supply chain management (E-mail: [email protected]).

Fuxin Jiang

Fuxin Jiang is a student at the Institute of System Science, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, China. His research interests include big data techniques, machine learning, and deep learning (E-mail: [email protected]).

Shuihan Liu

Shuihan Liu is a Ph.D. student at the Institute of System Science, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Beijing, China. Her research interests include economic forecasting, big data techniques, and tourism management (E-mail: [email protected]).