Analysis of tourist satisfaction in tourism supply chain management

Zahed Ghaderi, Pezhman Hatamifar*, Jalayer Khalilzadeh

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


This study investigates factors in tourism supply chain management (TSCM) which can influence tourist satisfaction in Isfahan, the leading tourist destination in Iran. Applying a neural network based on intelligent algorithm, the results indicate that factors such as recreation and entertainment, transportation system, tourism attractions, catering services, shopping and accommodation services failed to satisfy international tourists while tourist infrastructure and tourist information factors were quite satisfactory. It seems that TSCM in Isfahan failed to create an integration across heterogeneous sectors. This study contributes to our understanding of how TSCM is working in a mature destination in a developing country, with particular reference to Isfahan.

Original languageEnglish
Pages (from-to)433-444
Number of pages12
Issue number3
Publication statusPublished - Jul 3 2018
Externally publishedYes


  • Tourism supply chain
  • customer satisfaction
  • neural networks
  • supply chain management
  • tourists

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Earth-Surface Processes


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