درخت حوزه‌های تخصصی

Purpose- The goal of this research is to identify institutional variables affecting entrepreneurship in Nesa rural Area in Karaj County.Design/methodology/approach-This is a fundamental, applied research that uses a descriptive survey method for data collection. The statistical population of the research comprises the residents of Nesa Rural district. The sample size was calculated using Cochran's formula (n = 216) and its distribution among the villages was proportional to the number of households in each village and the sampling was conducted using a simple random method. The research instrument is a researcher-designed questionnaire. In this research, the confirmatory factor analysis method was used to assess the validity and reliability of the questionnaire, and the partial least squares path analysis method was adopted to test the conceptual model of the research. The relationship between the variables was measured with the Pearson correlation test.Findings- The findings of the research on the state of entrepreneurship suggest that self-employment driven by a small family business approach, mostly without innovation, has been the predominant entrepreneurial activity in the study area. The results of the conceptual research model showed that the institutional variables of economic stability, transparency and accountability, and educational system and skills training have the most direct impact on the state of rural entrepreneurship. The analysis of fit indices of the model revealed that the coefficient of determination for the dependent variable of the rural entrepreneurial status was 0.683. Accordingly, the independent and mediating variables of the model can explain 68.3% of the variance in the rural entrepreneurial status, indicating the explanatory power of the model.Practical implications- The results of the research suggested that rural entrepreneurship is in a deplorable condition and despite the direct and indirect effects of institutional variables on rural entrepreneurship, institutional factors play a weak and inefficient role in rural areas. Hence, it is necessary to pay attention to the role of institutional factors such as political stability, enforcement of the rule of law among citizens, control of corruption, and payment of rewards in proportion to the endeavors and creativity of individuals to promote rural entrepreneurship.

Purpose: Despite much evidence on consumers' behaviors and veterinarians' perspectives against Covid-19, nor have the past inquiries surveyed ranchers and livestock breeders' hygiene behaviors against Covid-19, serving as the main actors in the supply chain of livestock-product. Therefore, this study intends to be notified of the hygiene behaviors of ranchers and sheep farmers to curtail the spread of Covid-19.Design/Methodology/Approach: Using the theory of planned behavior and health belief model, this study contributes to predicting sheep farmers' behaviors in Maragheh County, northwestern Iran (2021-2022). Based on the quantitative paradigm and non-experimental research design, the study benefits from the cross-sectional survey to gather the data of 207 sheep farmers using questionnaire. To analyze the data, linear regression model (LRM), analysis of variance, and univariate GLM were used.Findings: Using the Univariate General Linear Modeling (UGLM), it was found that subjective norms (SNs) ( ) and perceived behavioral control (PBC) ( ) have a significant influence on behavior, further, these factors have different variate values at three levels of production unit type, inclusive of mechanized (n = 27), semi-mechanized (n = 47), and traditional (n = 133), most value of SNs and PBC falls under the category of traditional production units. The interaction of the SNs variable (SNs × Production Unit) with the levels of the production unit is statistically significant (F = 1.87, p < 0.05; ).Original/Value: This study fulfilled the knowledge gap of the factors that contribute to forecasting hygiene behaviors of sheep farmers against Covid-19. The agenda of recommendations would have impacts on health and wellbeing of not just sheep farmers but also public people by promoting the preventive behaviors of ranchers and sheep farmers against the spread of Covid-19.

Purpose- Rural tourism is considered a potential solution for rural communities to overcome economic challenges; in this context, smart tourism can be viewed as a logical advancement from traditional tourism, providing a balanced approach to revitalizing rural settlements and creating new economic opportunities for farmers and local communities. Accordingly, given that smart tourism can play a significant role in the sustainable development of businesses and the overall economy of villages, the aim of this research is to analyse the impact of smart tourism on the sustainable development of rural businesses in the Tafresh County.Design/methodology/approach- Therefore, this study is applied and employs a descriptive-analytical method, and from a paradigm perspective, it is classified as quantitative research. The required information was collected through both documentary-library and field methods. The statistical population of the study includes 28 villages in Tafresh County. In the field method, a researcher-made questionnaire was used. For data analysis, exploratory factor analysis, one-sample T-test, and the MARCOS multi-criteria decision-making model were utilized.Findings - The results from the exploratory factor analysis indicated that among the five identified factors, social and infrastructural factors in smart tourism have the greatest impact on the sustainable development of rural businesses. The results from the MARCOS decision-making model also showed that the villages of Kookan, Khank, and Naqousan are in a more favorable position regarding the indicators of smart tourism in the sustainable development of rural businesses.