Modeling and analysis of a tourism supply chain considering service level and advertising in the context of regular epidemic prevention and control under COVID-19

© 2024 The Authors..

In the context of regular epidemic prevention and control, this paper considers a two-stage tourism supply chain consisting of a scenic spot that attracts tourists through advertising and a travel agency that invests in service improvement and epidemic prevention. By establishing theoretical game models of a tourism supply chain, we investigate how the service level and advertising level can affect the retail price, product service level, and profits of the supply chain. The results show that the service level of travel agencies could improve consumers' preferences, expand the market demand for tourism products, and improve the efficiency of the supply chain to achieve a win-win situation and increase the profits of the scenic spot and the travel agency. The retailer price, service level, promotion level, and supply chain profit all increase as the service coefficient and advertising coefficient increase, and the speed of the increase is higher for the centralized model than for other models. Some valuable information could be provided for supply chain enterprises to develop collaborative strategies and promote tourism supply chain management practices.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Heliyon - 10(2024), 8 vom: 30. Apr., Seite e28924

Sprache:

Englisch

Beteiligte Personen:

Shi, Song [VerfasserIn]
Feng, Junjie [VerfasserIn]
Shi, Ping [VerfasserIn]

Links:

Volltext

Themen:

Advertising
Cost sharing
Epidemic prevention and control
Journal Article
Service level
Supply chain coordination
Supply chain management
Tourism supply chain

Anmerkungen:

Date Revised 17.04.2024

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1016/j.heliyon.2024.e28924

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM371178517