Programming for development of tourism industry using case studies
Abdol Aziz Shahraki and
Issa Ebrahimzadeh
Cogent Business & Management, 2015, vol. 2, issue 1, 1121638
Abstract:
This is a research into the assessment of tourism industry quality and programing for its development in Iran. In a tough economic situation, the hypothesis is to grow and develop the national economy with the help of the tourism industry. A unified assessment of tourism industry quality, method is made use of in this study, which is based on the case study of all elements of Iran tourism industry system. Quality assessment by means of unified problems (indicators) that hinder the maximum development of the tourism industry shows the reliability of the hypothesis. SWOT analysis aided to determine the weaknesses and threats aiming at raising the quality of the indicators. In addition, a linear programming from the standpoint of internal and external relations with national economy has been applied. The analysis revealed that the system of the tourism industry is unable to assist the macro economy. The failure corresponds to scarcely favorable natural environmental conditions, capacity for motivating to visitors, tourism marketing, and tourism infrastructures. After remedy actions, prospects for tourism industry development despite the complicated situation are quite favorable due to the advantageous climate, natural characteristics, cultural and ancient heritages, tourism resources, and educated labor. The methods applied by this paper suggest adaptive governance tools suitable to apply for optimization of the tourism industry everywhere similar to Iran.
Date: 2015
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2015.1121638 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:oabmxx:v:2:y:2015:i:1:p:1121638
Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20
DOI: 10.1080/23311975.2015.1121638
Access Statistics for this article
Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar
More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().