مهدی جهانی

Purpose- To identify and prioritize factors influencing the creation of rural entrepreneurship opportunities in Iran Design/methodology/approach- A deductive approach was adopted. In this applied research, a mixed method was employed, which consisted of a descriptive-analytical method and a survey. The main data gathering tool was questionnaire. The research population comprised of university professors specialized in the field of rural entrepreneurship, rural entrepreneurs, rural managers and rural experts (n=30). In the first step, based on a review of literature, indicators influencing the creation of entrepreneurial opportunities were identified, and then the ANP-DEMATEL was used for evaluation and prioritization of the indicators. Findings- Based on cause-effect chart, the economic and infrastructural factors were assigned to the category of causes and individual, socio-cultural and political factors to the category of effects. On the other hand, the economic and political factors had the highest and lowest interaction with other factors, respectively. The results of the integrated analytical network process (ANP) and DEMATEL method showed that the economic factor had the greatest effect followed by infrastructural, sociocultural and individual components (with slight weight difference). The political component with the value of 0.1253 not only had the lowest importance, but was significantly different from other factors in terms of weight values. Research limitations/implications- Measuring the effects of factors influencing the creation of entrepreneurial opportunities along with their interrelation and mutual impact using a system approach or ISM technique. Practical implications- Given the myriad of problems affecting rural areas, such as unemployment, migration of rural labor to urban areas and diminished sense of belonging, among other things, it is essential to pay greater attention to entrepreneurship and its implementation to achieve sustainable rural development. Besides, by identifying the root causes and factors influencing rural entrepreneurship, it is possible to offer solutions for organizing entrepreneurship. If policy makers, planners, and rural managers adopt these strategies, sustainable rural development could be reinforced. Originality/value- Providing the most important indicators influencing the creation of rural entrepreneurship opportunities, prioritizing and measuring the impact of those factors on each other using ANP-DEMATEL method. In particular, the results of this research can benefit managers and decision makers in the field of rural entrepreneurship. The results can also be beneficial to universities, higher education institutions and students.

Purpose- In the hierarchical planning of central places, systematic and calculated settlement is based on the desired spatial system, and small cities play a major role in striking balance and equilibrium in the residential system. The role and function of this type of rural centers lay the theoretical basis for strategies of developing a balanced settlement model. The proponents of small towns point to importance of these settlements as service centers in rural development, stressing the construction of a cohesive settlement hierarchy and the effects of top-down distribution. According to their view, small towns are at the forefront of rural and regional development in terms of production and institutional structure, preventing the over-concentration of population and activities in large cities. It is an issue that has deprived these cities of proper economic returns and investment. Design/methodology/approach - In this study, the effect of Molkabad City on the spatial organization of rural settlements is investigated, and research hypotheses are tested using t-test, Wilcoxon, Kruskal-Wallis and WASP. Finding- Of the sample villages in various geographical areas located at varying distances, Derakht-e Sepidar Village has the highest Qi in WASPAS model and is ranked first, thus having the highest spatial development among the sample villages. It is true because this village is located in a plain area adjacent to a dirt road that leads to Molkabad City. In the same region, Razan Village has the lowest Qi in WASPAS model and is ranked last, mainly because this village is located on a plain, but far from communication routes. Further, this village is within the jurisdiction of Binalood Town rather than Molkabad or even the center of its county, Imam Taghi Village. In general, according to the results obtained from the WASPAS model, it can be mentioned that there is a slight difference between the first and the last village and the rate of spatial development in the studied villages is almost identical. That is, it is not pertained to the remoteness and proximity to Molkabad City.