Attractiveness Survey Persian Gulf coastline and islands tourism development strategies Using the QSPM measurement matrix

Document Type : Original Article

Authors

1 Department of Management, Payame Noor University, Iran

2 Assistant Professor, Department of Political Science, Islamic Azad University, Kermanshah, Iran

3 PhD student in Political Science, Islamic Azad University, Kermanshah, Iran

4 PhD in Sociology, Lecturer, Payame Noor University, Iran

Abstract

In this study, the matrix triple Internal Factors, External factors & combinatorial, each aspect of the model is assessed and measured. According to the matrix product strategies in the four conditions (WT, SO, WO and ST) determine, and formed Quantitative Strategic Planning Matrix (QSPM), Attractiveness of various strategies are determined, and then they will be prioritized. This is an applied research and developmental. For evaluating and assigning weights to the variables, a questionnaire was designed and the group was targeted. Study Examples was randomly selected and the Cochrane formula is used to determine the number of Examples.The findings obtained from the Quantitative Strategic Planning Matrix (QSPM) showed that Among the strategies developed based on SWOT, commercial and economic development strategies and development of tourism infrastructure (ST4) and coastline improvement based on international standards (ST5) having the highest score (2.15 and 1.98, respectively) had the highest interest, and Exhibiting and festivals of different strategies at different levels (ST9) with a score of 1.92 is the least attractive. showed that the strategies developed strategies, focusing on the needs and strategies to achieve the main precondition for development, Spread roads, rail network (ST7) and emphasize the main advantages of the introduction of boundary conditions (ST1) having the highest score (2.3 and 1.66, respectively) had the highest interest, and strategy coordination among executive agencies (ST4) with a score of 0.81 is the least attractive.

Keywords

References

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Geography (Regional Planning)
Volume 11, Issue 45
December 2021
Pages 51-62

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