درخت حوزه‌های تخصصی

Purpose- This study examined the effects of non-revenue water (NRW) on organisation running costs and customer satisfaction. The intention was to describe the NRW's effects on the MUWASA's performance as a case study. Specifically, it identified factors prompting non-revenue water; described the NRW effects on organisation running costs; and examined the level of customer satisfaction towards service provision.Design/methodology/approach- A purposive sampling technique was used to pick respondents for the household survey and key informant interview. The study included 100 respondents (70 connected customers and 30 employees of the authority). MUWASA serves 5 zones of the municipality; therefore, the study obtained 70 connected customers from the five zones of the authority. The household survey and the key informant interviews (KII) were the main data collection methods, the survey technique was used to collect data from 100 respondents and seven were involved in key informant interviews.  Descriptive and inferential statistics and content analysis were used in data analysis.Findings- The findings have indicated that NRW affects the water utility revenue collection, and organisation running costs, which jeopardizes customer satisfaction with the organizational service delivery. Originality/value- Based on the National Water Policy of 2002 which aims at achieving sustainable, effective, and efficient development and management of Water Supply and Sanitation one of its objectives is to create an enabling environment and appropriate incentives for the delivery of reliable, sustainable, and affordable water supply and sanitation services. Therefore, the findings of this study are a catalyst for the improvement of the set policy objectives and enhance interventions where necessary.

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- With the physical expansion of cities, some surrounding villages are incorporated into the city as new neighborhoods. These areas, due to their rural backgrounds, differ from newly developed urban neighborhoods in physical, social, economic, and cultural aspects. Social issues, particularly behavioral problems, are one of the challenges in these areas. The neighborhood of Noh-Dareh in Mashhad (with a rural background) faces such a challenge. The Saber Street (located in Noh-Dareh) is the intersection of formal and informal settlements and has a strategic location due to its proximity to the Kuh Park. However, the occurrence of certain inappropriate behaviors has led to a decline in its efficiency and attractiveness for residents. This study aims to propose design recommendations for Saber Street to improve user behavior patterns.Design/methodology/approach- This research is mixed-method (quantitative and qualitative). After collecting library resources (behavior, environment, and perception), user behaviors were identified by using qualitative techniques (observation, behavioral mapping, and interviews). The obtained data were then categorized into conditions, actions, and consequences through qualitative analysis using MaxQDA. Subsequently, based on the typology of existing micro spaces, design recommendations were proposed based on behavioral patterns.Findings- Behaviors in the micro spaces of the mentioned street are often solitary, involving short and unconventional pauses due to the lack of diverse activities, psychological insecurity, inappropriate lighting furniture, and inconvenient climatic conditions. These results are reduced identity and increased insecurity, social damages, and inefficiency of activities.Practical implications- To improve these conditions, it is suggested to enhance urban management control, adopt supervisory policies through the design of frontages, allocate collective activities in the space, organize various events, and provide welfare and comfort infrastructure and equipment.Originality/Value- Considering the presence of social conflicts in neighborhoods with rural backgrounds, such as social damages, activity inefficiency, and ultimately resident dissatisfaction, the innovation of this study lies in identifying the context and causes of inappropriate behavioral patterns in these neighborhoods.

Purpose- The widespread use of virtual platforms has become a common practice in present management, and rural areas are identified as a sector that can greatly benefit from this technology. Statistic data in the field of communication and information technology exhibit a significant increase in internet access in rural areas, a trend that is on the rise globally. The successful implementation of smart village initiatives in Asia shows a promising way to improve life in rural areas, overcome existing challenges, prevent the collapse of social structures, and counteract the problem of rural exodus. It can be argued that by advancing information technology and smart village initiatives, life quality in rural areas can be positively impacted.Design/methodology/approach- The research population comprised the entire statistical community of four districts in Kalar County. Three villages were randomly selected from each district, resulting in a total of 150 samples from 262 households, using the Cochran formula with a 5% error rate. The reliability of the questionnaire was confirmed through content validity and Cronbach's alpha.Finding- The results of this study indicated that the existing infrastructure for smart village development in the rural areas of Kalar County is in an unsatisfactory condition. Additionally, the level of knowledge and information of residents regarding the smartification process in the study area is insufficient. Moreover, the effectiveness of this emerging process in improving the life quality for the local population was not as impactful as expected. The driving and inhibiting factors affecting the development of smart villages in Kalar County do not align with optimistic expectations hindering the desired outcomes.

Purpose- Environmental issues such as the ecological footprint, are the product of intellectual, cultural, and economic factors. Therefore, it is necessary to know the variables effective on the amount of the footprint. The main objective of the present study is to investigate the factors affecting the ecological footprints of the rural settlements in Eslamabad-e Gharb County with a holistic and spatial approach. Design/methodology/approach- The present study is an applied one regarding the objective and descriptive-correlational regarding the methodology. In terms of the data collection method, it is a field survey. The statistical population includes 25% of the villages in Eslamabad-e Gharb County (40 villages). The sample size was determined as 500 households based on the latent and observable variables. The Structural Equation Modeling (SEM) was used to analyze the data. Also, the Geographically Weighted Regression (GWR) was used to investigate the effects of the locative-spatial factors on the research variables.Findings: The results of the Bootstrap test based on the T values indicated that the variables “ownership”, “environmental awareness”, and “consumerism” had the highest t-value and thus, were most correlated. The variable “ownership” in the economic structure is more correlated with the ecological footprint of the researched villages than other independent variables with a statistic of 26.053. overall, the analysis of the direct and inverse correlations in the SEM indicated that the variables “ownership” and “employment” were the most effective factors on the ecological footprint with coefficients of 0.874 and 0.575, while the “conspicuous consumption” was the least effective variable. Also, the results of spatial regression showed that the villages in the northwest of the county were more effective while moving towards the southeast and getting distant from the center reduces the effectiveness of the research variables on the ecological footprint.Research limitations/implications- The high rate of employment in the agricultural sector, the weakness in environmental issues training, and the high rate of livestock and agricultural ownership among a limited number of people have created obstacles on the road to the ecological sustainability of the region.Practical Solutions: Directing the residents of the researched villages towards non-agricultural employment by providing appropriate facilities and support, promoting an environment-friendly lifestyle, and training the residents to increase their environmental awareness by holding workshops in this field.Originality / Value: The present study is the first to use the SEM and spatial approach to investigate the factors effective on the ecological footprints of rural settlements. The results obtained can aid the planners and decision-makers in the field of rural settlements to advance the goals of sustainable development.

Purpose- Climate change has negative effects on the economic, social, and environmental aspects of rural households. Given the importance of the impact of climate change on the livelihoods of rural people, this study was conducted with the aim of reducing vulnerability and increasing resilience and adaptation to these conditions in Mashhad Township.Design/methodology/approach- The statistical population of the study is 11,706 rural households in Mashhad Township, out of which 372 households were selected proportionally by multistage stratified random sampling based on Cochran’s formula. The main tool of the research was a questionnaire whose validity was examined through content validity, structural validity, and reliability by composite reliability and Cronbach’s alpha (a= 0.9). The data were analyzed using SPSS and LISREL software. To examine the fit of the measurement model of the effects of climate change on sustainable livelihoods, the collected data were analyzed using second-order confirmatory factor analysis with LISREL software.Findings- The results of the study showed that the greatest impact of climate change was on financial capital, including income reduction, increased costs and increased product prices, reduced productivity and employment. In addition, the greatest effects of climate change on social capital include were on reduced sense of belonging and increased dependence on government support; on human capital include a were on reduced health levels and quality of life; and on natural capital include a were on reduced land resources and pressure and occurrence of hazards; and on physical capital were on reduced services and facilities for people. The research findings also showed that the goodness-of-fit indices (AGFI=0.91, GFI=0.91), (NNFI=0.91, CFI= 0.92), and (RMSEA= 0.073, X2/df= 2.97) confirmed an excellent fit of the measurement model of the effects of climate change on sustainable livelihoods with observed data. In addition, the results of structural equation modeling showed that the greatest impacts of climate change among livelihood capitals were respectively related to physical, financial, natural, social and human capitals.