Tourism
Yazdan Shirmohammadi; Elham Khozestan
Abstract
Tourism organizations need to communicate and interact with tourists through social media. Through social media platforms, tourists independently generate and share information .The present study was conducted to investigate the effects of data mining quality on the acceptance of information by tourists ...
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Tourism organizations need to communicate and interact with tourists through social media. Through social media platforms, tourists independently generate and share information .The present study was conducted to investigate the effects of data mining quality on the acceptance of information by tourists on social media platforms through the mediating variable of perceived diagnostic effects, information validity in tourism target villages of Khuzestan province. It is an applied research in terms of purpose, a descriptive one, a branch of field studies, in terms of data collection, and a correlation one in terms of its nature. The statistical population of this study is tourists from the target villages of tourism in Khuzestan province. Due to the lack of access to all respondents, the study population was considered unlimited. In this study,the sampling method is convenience sampling, and based on Morgan and Krejcie table، the sample size was determined to be 384. The research data collection methods were library and field methods. In this research, face and content validity as well as construct validity were used to measure validity, and Cronbach's alpha coefficient and composite reliability coefficient were used to measure reliability. The results of structural equation analysis with PLS software showed that data mining quality was adequate on perceived diagnostic effects and information validity.Perceived diagnostic effects and information validity were effective on information acceptance. Also, the effects of perceived risk had a moderating role between the quality of data mining and the perceived diagnostic effects and between the quality of data mining and the validity of information. On the other hand, the perceived diagnostic effects and information validity had a mediating role between data mining quality and information acceptance. Based on the results of the research findings, it is suggested that the managers of pages and blogs active in different social media platforms should continuously provide updated and efficient information and according to the needs of users, by producing suitable textual content and image files. or a downloadable video, increase the information provided to the users. At the same time, by posing questions or challenges, they make the presented content more practical
Rural Development
Sayed Ramin Ghafari; hajar nasehi
Abstract
Today, human activities, comings and goings and communications at the urban and rural levels have changed a lot and these changes have been regardless of environmental conditions and the desired human environment. The present research is based on applied development goal and in terms of descriptive-analytical ...
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Today, human activities, comings and goings and communications at the urban and rural levels have changed a lot and these changes have been regardless of environmental conditions and the desired human environment. The present research is based on applied development goal and in terms of descriptive-analytical methodology based on library studies and field studies. To study, model and present the optimal model for the development of rural roads network in Shahinshahr and Meimeh. To achieve the objectives of the research, 4 indicators: natural and ecological, socio-cultural, economic and physical-spatial were extracted and surveyed by 30 experts in the field of urban and rural studies and using Smart-Pls software to analyze the factors. Exploration was done. Then, in order to present the optimal model for the development of the rural road network, the colonial competition algorithm (MST minimum tree cover) in Matlab 2016 software environment has been used, and the Tracking Analyst Tools method in spatialization of the studied indicators in Network Analyst Tools is used in the ArcGIS software environment. The results show that among the studied indicators, the socio-cultural index has the highest coefficient and impact on the development of rural road network and then the economic index is effective as a stimulus and mediator in the second category. Also, the results of spatial analysis show that Among the studied villages, 66.6% are in an unsuitable and completely unsuitable situation in terms of the development of the road network.
Rural Development
Ahad Norouzzadeh
Abstract
The aim of this study was to investigate the pathology of complaints in rural cooperatives and provide solutions to reduce them, in two stages of team analysis and survey with a sustainable rural development approach in an exploratory and descriptive manner in 2021. The statistical population in the ...
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The aim of this study was to investigate the pathology of complaints in rural cooperatives and provide solutions to reduce them, in two stages of team analysis and survey with a sustainable rural development approach in an exploratory and descriptive manner in 2021. The statistical population in the first stage was 23 heads of departments, managers, board members and inspectors of rural cooperatives in the province who were selected by sampling chain reference (snowball method) and in the second stage 200 employees of cooperative offices, labor and Social welfare of the province and members of cooperatives that were selected by stratified random sampling. The data collection tools in the first stage were in-depth interviews and in the second stage, a researcher-made questionnaire resulting from the first stage. For data analysis in the first stage, the Theme analysis method and Atlas-ti software in 6 stages and in the second stage, the first and second confirmation factor analysis tests were used with the help of Amos software. According to the findings of the research, the factor "lack of financial transparency" with a path coefficient of 0.744 had the greatest effect on the occurrence of complaints in these companies. After this factor, "weakness in supervision and control" factor with a coefficient of 0.714, "weakness in management" factor with a path coefficient of 0.592, "preference for individual interests" factor with a path coefficient of 0.568, "not being competitive" factor with Path coefficient of 0.53, "revision of laws" factor with a coefficient of 0.521 and finally "limits and authority" factor with a coefficient of 0.312 were respectively identified as the most important and influential factors of complaints in rural cooperative companies. Based on this, it is suggested to pay attention to the conflict of interest in these companies. Also, continuous monitoring and necessary inspections and consideration of the balance sheet and performance and profit and loss accounts, the proposed budget and the reports of the board of directors to the general assembly should also be reviewed.
Geography and plan
ahmad hajarian
Abstract
Today, governance passes through the realm of government and faces many problems and has no choice but to get rid of them. Governance must be able to establish partnership and cooperation between all the forces influencing the management of society, namely governments, the private sector and grassroots ...
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Today, governance passes through the realm of government and faces many problems and has no choice but to get rid of them. Governance must be able to establish partnership and cooperation between all the forces influencing the management of society, namely governments, the private sector and grassroots organizations. Therefore, this study was conducted to evaluate the causal pattern of criteria affecting good governance. The present study is applied according to its purpose, and based on descriptive-causal method. The statistical sample of the study consisted of 30 experts and specialists related to rural management and rural planning. In order to achieve the research goal, fuzzy dimethyl technique was used. Findings of the study showed that among the eight criteria of good governance, the criterion of participation and legality were the most effective and the criteria of efficiency and effectiveness were the most effective criteria of good governance. The criterion of participation was also identified as the most important criterion of good governance.
Rural Development
fatemeh sogandi
Abstract
The tourism industry is the largest industry in the world and all countries is considered an essential tool for the development of economic activities in different fields. The development of this industry, especially in rural tourism, can help the development of local businesses. The general purpose ...
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The tourism industry is the largest industry in the world and all countries is considered an essential tool for the development of economic activities in different fields. The development of this industry, especially in rural tourism, can help the development of local businesses. The general purpose of this study is to analyze the factors affecting the development of rural tourism, especially during the Corona period from the perspective of the residents of Bozhan village in Neishabour. This research is descriptive and analytical. The validity and reliability of the questionnaire were obtained through factor analysis and Cronbach's alpha. In this regard, a questionnaire was provided to the villagers based on Cochranin which the sample size was 294 people. Sample selection from local people is done by a simple random sampling method. Research objectives are performed by descriptive statistics and then an exploratory factor analysis technique, multiple regression and t-test. In this regard, the collected data are analyzed using Excel and SPPS software. The statistical results show that the factors of village attractions, village infrastructure, and villagers’ attitude, and economic level, social, managerial and environmental level are the factors that affect the development of tourism in Bozhan village and have a direct relationship with it. But coronavirus has the highest percentage of variance in the factors affecting tourism development with an inverse relationship with the dependent variable. Finally, some suggestions are mentioned based on the analyzing data for the development of rural tourism in this region during the Corona period.
Agri Eco.
mahdiyeh saei; pirouz shakeri; asghar salehi; safatollah rahmani
Abstract
Due to the different climates, some areas of Kerman province have a good ability to raise and maintain livestock, especially in rural and nomadic areas, which has a large share in providing meat and dairy products needed by people in the province and even exported to neighboring provinces. . In recent ...
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Due to the different climates, some areas of Kerman province have a good ability to raise and maintain livestock, especially in rural and nomadic areas, which has a large share in providing meat and dairy products needed by people in the province and even exported to neighboring provinces. . In recent years, drought, water crisis, loss of pastures, smuggling and rising livestock costs, etc. have caused great damage to this strategic sector. The purpose of this study was to investigate the strengths, weaknesses, opportunities and threats of the dairy industry in the rural areas of Kerman province through the analysis of internal and external factors. The instrument used was a questionnaire and descriptive statistics and SWOT analysis were used to analyze the information. The results showed that "the existence of climate diversity in the province" is the most important strength and "non-timely payment of milk prices by industries" are the most important weakness in the dairy industry. In addition, "increasing demand for milk and dairy products" was the most important external opportunity and "fluctuations and rising livestock costs" were the most important external threats to the industry. Also, according to the findings of the study, weaknesses and threats are more important in the dairy industry and are in a situation where the system can act with the help of defensive strategy to reduce weaknesses and threats.
Rural Development
Mahdi Babaeian; Abolfazl Tavassoli; Mohamad hosein salehi
Abstract
This research examines the energy use patterns and greenhouse gas emission of sugar beet farms in Hossein abad village of Shirvan city, in 2017-18. Data were collected by using a face-to-face questionnaire. Farms were selected with a random sampling method. In this study, the inputs in the calculation ...
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This research examines the energy use patterns and greenhouse gas emission of sugar beet farms in Hossein abad village of Shirvan city, in 2017-18. Data were collected by using a face-to-face questionnaire. Farms were selected with a random sampling method. In this study, the inputs in the calculation of energy use include: human labor, machinery, diesel fuel, chemical fertilizers, farmyard manure, biocides, electricity, water and the output in the calculation of total output energy include plant yield. The results indicated that total energy inputs were 66879.92 MJ ha-1and outputs 1310572.50 MJ ha-1. Of the total energy consumption in sugar beet production, 38.39% is related to the use of chemical fertilizers, 25.95% is related to diesel and 12.69% is related to electricity. Energy use efficiency of 19.59 and energy productivity of 0.72 kg MJ ha-1 were recorded. Chemicals, fuel and electricity played the largest role among energy inputs in beet farms. CO2, N2O and CH4 emissions were 2463.26, 21.02 and 3.26 kg ha-1, respectively. And the amount of global warming potential of these gases was calculated as 9048.85 CO2eq ha-1, of which 0.76% was related to CH4, 27.22% was related to CO2 and 72.02% was related to N2O.
Agricultural Extension and Education
Seyed sina Eisapour; Reza Moghaddasi; Mehdi Pirozian; Jalil Ajali
Abstract
Fragmentation of small agricultural lands and traditional agricultural lands in Iran is one the largest factors responsible for agricultural production and employment is responsible. The system mainly consists of 10 acres called the micro and the peasantry, and each operator will usually include a family ...
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Fragmentation of small agricultural lands and traditional agricultural lands in Iran is one the largest factors responsible for agricultural production and employment is responsible. The system mainly consists of 10 acres called the micro and the peasantry, and each operator will usually include a family operation. This pattern of operation with features such as organizational and structural weaknesses, low level of education and technical knowledge, scatter plots of agricultural land, the lack of efficient use of resources in production, low yield per hectare, high production costs, low income farmers and the non-economic and non-economic well-known performance. In this research, in order to calculate and determine the efficiency level of the small peasant exploitation system the data for 2014 were collected and data envelopment analysis was used. The statistical population of this study is 9600 small peasant below ten acres. Bu using multi-stage sampling method for subjects the sample size was 48, and a total of 60 questionnaires were completed with high precision. The results of the research showed that the average technical, allocation and economic efficiency of small peasant farms studied in the Miyaneh city is respectively equal to 60.03, 60.06, 34.02. This suggests an increase in technical efficiency of 39.7 percent, an allocation efficiency of 39.4 percent, and an economic efficiency of 65.8 percent. This indicates weaknesses in existing technical knowledge, farm management, and lack of use of scale optimization.
Agri Eco.
mohammad Ghorbani; komeil mahjori karmozdi
Abstract
Management will make a decision on the future market when economic interrelationships are considered as biological relationships. This paper presents a Differential Generalized Inverse demand system to explore the market of foods containing animal protein and the relationships between different strains ...
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Management will make a decision on the future market when economic interrelationships are considered as biological relationships. This paper presents a Differential Generalized Inverse demand system to explore the market of foods containing animal protein and the relationships between different strains of food market existing in the market are discussed in detail. Statistics needed to support the company's affairs and the livestock Statistical Yearbook of Agriculture from 1974 to 2011 was used. Inverse demand system estimated generalized differential (GIDS) and test compound coefficients show that the best model for studying the demand for food containing protein villages in the country is the IAIDS model. The results showed that compensation cross elasticity indices estimated in the inverse demand substitution indicates IAIDS milk and eggs as well as meat and poultry. Quantitative Elasticity indices following theoretical foundations based on compensation were negative. This means increase in the price of any commodity its consumption drops. Meat and milk are essential products for rural consumers. The results of using the Allen elasticity of substitution also show that poultry is the best substitute for milk and vice versa. Also, poultry is the best substitute for red meat and red meat is the best substitute for eggs.
