درخت حوزه‌های تخصصی

Purpose - Having an appropriate and integrated entrepreneurial ecosystem in rural areas largely guarantees the sustainability of rural businesses. Therefore, this study was conducted with the purpose of classification of the rural regions of Haraz plain watershed in terms of entrepreneurial ecosystem. Design/methodology/approach - This is a descriptive study that was done using a survey. The questionnaire was the key instrument for gathering data. The study samples were 182 pluriactive rice farmers and 50 rural experts. Findings - The results showed that the studied regions are in an inappropriate situation in term of rural entrepreneurship ecosystem. Relative assessment using Shannon's entropy showed support component ranked at the highest level by a large difference compared to other components. The financial component ranked at the lowest level in comparison with other components. The results using the ORESTE and hierarchical cluster analysis techniques showed that Nour and Babolsar regions are the most appropriate regions in term of the rural entrepreneurship ecosystem for rural business development, respectively. Research implications/limitations - The improvement of REEs in the six regions should be seriously considered and pursued by policy makers. At the same time according to this research and creating mental ideas for the authors, it is suggested that researchers study the REE and introduce the types of rural businesses appropriate to the situation of the EE in all region of the world; the subject that is not covered in this article. In addition, the method, model, and strategy used in this study provide an appropriate pattern for future researches in entrepreneurial activities development in different regions of the world.

Purpose - At the local level, the role of rural management in achieving optimal rural planning and development goals is significant. There are several approaches to rural management, one of which is good rural governance. In this regard, the purpose of this study is to evaluate the performance of new rural management with an emphasis on good governance indicators for the villages in the Central District of Karaj County. Design/methodology/approach - Quantitative approach was used in conducting this research. The statistical population of the study includes 7 villages. 145 households were sequentially determined based on random sampling and using the modified Cochran's formula. SPSS software and the FARAS model were utilized to analyze the data. Findings - The results showed that the situation of governance indicators in the studied villages is lower than average. In addition, the results of the correlation between the indicators of good rural governance showed that the management system is the desired and subject to development in all indicators of good rural governance from the point of view of the villagers. Also, the ranking of the indicators of good governance using the FARAS model substantiated that the social participation index has the highest rank from the experts’ point of view. Research limitations/implications - The outbreak of coronavirus interfered with the process of data collection and information in the studied villages. This impeded the process of completing the research. In this regard, to reduce the negative impact of this restriction, interviews and completing questionnaires were conducted through the Internet. Practical implications - Activities should be taken through the interaction of non-governmental organizations, governmental and public organizations, and the private sector, removing existing obstacles, and financial and executive constraints for modern rural management in the villages of the Central District. Originality/value: The study is conducted by the mentioned researchers and in accordance with the official rules and procedures, and all dissertations, articles, books, etc. were referred to accordingly. The originality of the present study is in applying the FARAS fuzzy model to the studied villages in the Central District of Karaj County.