Skip to content
Research Article Open access CC BY 4.0

A Composite Collaborative Tourism Supply Chain Risk Sharing Model

Mengyan Ren, Hua Bai

Journal of Scientific Research and Reports · pp. 235–240 · Published 11 Oct 2014

10.9734/JSRR/2015/12804

Abstract

Tourism supply chain (TSC) is a relatively new concept. In order to realize the effectiveness of TSC collaboration, how to share the risks of TSC fairly is a key issue. This paper analyzes the main risk factors in TSC, and proposes a composite risk sharing model. Incorporating the contribution of the individual enterprise to the profit making of the whole TSC profit, this paper presents an amended investment based risk sharing model for more fair and reasonable risk sharing.

Tourism supply chain risk sharing collaboration Shapley value.

References (12)

  1. 1 Perspectives in supply chain risk management [DOI]
  2. 2 Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations [DOI]
  3. 3 Supply chain coordination by revenue sharing contracts [DOI]
  4. 4 Contracting and Information Sharing Under Supply Chain Competition [DOI]
  5. 5 Sharing Demand Information in Competing Supply Chains with Production Diseconomies [DOI]
  6. 6 Linking tourism into emergency management structures to enhance disaster risk reduction [DOI]
  7. 7 An earthquake disaster management mechanism based on risk assessment information for the tourism industry-a case study from the island of Taiwan [DOI]
  8. 8 Supply chain coordination by risk sharing contracts under random production yield and deterministic demand [DOI]
  9. 9 Supply chain risk-sharing contracts from a buyers' perspective: content and experiences [DOI]
  10. 10 The Study of Profit Allocation among Partners in Supply Chain Based on the Shapley Value
  11. 11 Study on service supply chain system benefit distribution based on Shapley value modification
  12. 12 Allocation Mechanism of Benefits and Risks among Cooperative Partners in Supply Chain Based on the Shapley Value

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

64

Page views

0

PDF downloads

29

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.