درخت حوزه‌های تخصصی

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.

Purpose- The ongoing research endeavors to identify and critically analyze the paradigmatic rural development model embedded within Iran's spatial planning frameworks. As innovative philosophical perspectives in rural development emerge, the necessity of examining and understanding the foundational principles guiding these initiatives has become increasingly vital. This importance is recognized from a theoretical perspective and in practical efficiency and effectiveness, particularly relevant for geographers engaged in spatial analysis. Design/methodology/approach- The research aims to contribute valuable insights to enhance rural development strategies and inform effective spatial planning in Iran by exploring these dimensions. The research strategy uses a mixed-methods approach, allowing for the selection of various methods that are aligned with the overall research objectives. Initially, the qualitative content analysis method was employed. Data collection utilized several tools, including observation, document analysis, and questionnaires. A non-probability sampling technique was applied, and one document was selected from each of the nine study areas. Researchers needed to consider multiple criteria during judgmental sampling, such as clustering levels, time units, geographic units, and the number of document samples, alongside consultations with academic experts. The document analysis, grounded in qualitative content analysis, aimed to objectify findings. Findings- The research revealed that critical characteristics of the paradigmatic model for rural development in the provincial SSP include "objective ontology," "positivism epistemology," "Separate praxis," and "ethics." The findings indicate that the degree of alignment between the selected SPP and the paradigmatic model of retrogressive rural development is rated at 3.73. This score suggests that the retrogressive perspective remains dominant despite advancements in "ideological" and "institutional" reforms. Originality/value- Consequently, the characteristics associated with the paradigmatic elements of rural development have regressed within the SPP framework.

Purpose- This study explores cross-cultural differences in the assessment of rural landscapes among landscape architecture experts in Iran and Sweden. The research focuses on three key indicators of landscape aesthetics: diversity, naturalness, and sense of place, aiming to understand how cultural background influences the perception and valuation of these elements in rural environments. Design/methodology/approach- A quantitative survey approach was employed using a structured questionnaire based on a 7-point Likert scale. The sample included 31 landscape architecture experts—18 from Iran and 13 from Sweden—who were selected purposively and responded via email. To analyze the data, non-parametric statistical methods were used, including the Kolmogorov–Smirnov test for normality and the Mann–Whitney U test for comparing group differences. Findings-The results revealed that both groups valued vegetation diversity similarly, indicating a shared professional appreciation for diverse plant types. However, a significant divergence was noted in perceptions of naturalness: Iranian experts tended to associate cultivated and managed vegetation with higher natural value, while Swedish experts favored more untouched, wild natural elements. Regarding the sense of place, particularly the activity subcomponent, Iranian experts gave more weight to cultural infrastructure and traditional or religious events, reflecting the socio-cultural importance of communal and ritual activities in Iran. Practical Implications- These findings can guide rural landscape planning and design processes that are sensitive to cultural context, providing a basis for cross-cultural assessment tools tailored to differing aesthetic values. Originality/Value- The study contributes to the underexplored area of non-Western landscape perception research, offering fresh insights into how cultural frameworks shape aesthetic evaluations across distinct environmental and social settings.

Purpose- Rural tourism has various effects on the economic and social aspects of rural households. Considering the significant impact of tourism on the economic and social development of local communities, this research aims to investigate the economic and social effects of rural tourism in Baft County.Design/methodology/approach- The statistical population consists of 2512 households in the rural of Baft Township, out of which 333 households were selected through simple random sampling based on Cochran's; formula. The primary tool for data collection was a questionnaire, the validity of which was examined through content and structural validity, and its reliability was assessed using composite reliability and Cronbach's; alpha (α = 0.90). Data analysis was performed using SPSS and LISREL software. To examine the fit of the measurement model of economic and social effects on rural tourism; the collected data were analyzed using LISREL software and second-order confirmatory factor analysis.Findings- The research findings indicate that the most significant impact is on the economic dimension, including employment and income, investment, and satisfaction. Moreover, the most prominent effects in the social dimension include social participation, protection of intangible heritage, sense of place, heritage and tradition preservation, tourist satisfaction, education and awareness, and ultimately, cultural elevation. The research findings also revealed that the absolute fit indices (AGFI = 0.91, GFI = 0.94), comparative fit indices (NNFI = 0.92, CFI = 0.95), and parsimonious fit indices (RMSEA = 0.054, X2/df = 2.63) confirm the excellent fit of the measurement model of economic and social effects on rural tourism with the observed data. Furthermore, the structural equation modelling results indicate that the most signicant impacts are in the economic dimension of employment and income and the social dimension of social participation.

Purpose – This study examines the barriers to promoting climate-smart agriculture (CSA) in rural areas of the Sistan Plain. Using a qualitative approach and focus group discussions, data were collected from farmers and local experts (54 participants). The discussions were analyzed through inductive content analysis, coding, and classification systems. Findings – The results reveal that barriers to CSA promotion fall into seven main categories: financial, institutional, technical and infrastructural, knowledge gaps, demographic, environmental, and market challenges. Key challenges include high initial costs, weak policies and institutional support, lack of practical knowledge and training, and adverse climatic conditions. Practical recommendations involve conducting specialized training, establishing pilot projects, and strengthening communication infrastructure. From a policy perspective, developing national strategies, providing financial incentives and credit facilities, and fostering collaboration across various sectors are crucial. This study offers comprehensive and integrated solutions to assist policymakers and agricultural practitioners in achieving sustainable development and strengthening CSA resilience. Practical Implications – This study proposes several practical solutions to address the identified challenges, including organizing specialized and operational training programs for farmers and experts, implementing pilot projects to demonstrate CSA effectiveness and benefits, developing communication and technical infrastructure such as high-speed internet access and advanced equipment, formulating national policies to provide financial and institutional support for CSA, and fostering collaboration among governmental, private, and local community sectors. Originality/Value – This research is one of the first comprehensive studies analyzing barriers to CSA promotion in Iran. Given the unique conditions of the Sistan Plain, the findings can serve as a model for other underprivileged regions in Iran and similar countries. The practical solutions and effective policy recommendations presented here mark a significant step toward sustainable development and greater agricultural resilience to climate change.