Designing a Tourism Management Model for the Cultural Heritage and Tourism Organization of Khuzestan Province

Document Type : Original Research Manuscripts

Authors

1 Ph.D. Candidate, Department of Public Administration, Sho.C., Islamic Azad University, Shoushtar, Iran.

2 Assistant professor, Department of Business Management, Adiban institute of higher Education, Garmsar, Semnan Province, Iran.

3 Assistant Professor, Department of Public Administration, Deh.C., Islamic Azad University, Dehghan, Iran.

10.22034/lss.2026.576783.1065
Abstract
The study aims to design a tourism management model for the Cultural Heritage and Tourism Organization of Khuzestan Province. The present study is an applied-developmental study in terms of its purpose and is a cross-sectional survey study in terms of the method and time period of data collection. The statistical population of the present study was managers of different levels of the Cultural Heritage and Tourism Organization of Khuzestan Province. The qualitative part of the sampling method was based on non-probability sampling methods. In the quantitative phase of the research, a random stratified sampling method was used to validate the proposed research model. Given the exploratory, a semi-structured interview was used to collect the opinions and views of the experts of the National Iranian Oil Company regarding the identification of the indicators, components and dimensions of the research model. The qualitative method of grounded data analysis was used in ATLAS TI software. 6 main categories, 26 central categories and 160 primary codes were identified. Causal conditions include data management, information technology, employee status, tourist status and organizational structure. Contextual conditions include geographical location, tourism infrastructure, cultural heritage status, government conditions, and social culture. Intervening conditions include data analysis process, international conditions, management support, economic conditions, and advertising and marketing. Strategies include data-driven decision-making, improved financing, customer relationship management, tourism branding and cross-sectoral partnerships, organizational training and learning, and modeling from successful areas. Outcomes include revenue generation and profitability, sustainable regional development, tourist satisfaction, and improved tourism image.

Keywords

Subjects

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  • Receive Date 29 December 2025
  • Revise Date 19 January 2026
  • Accept Date 28 February 2026