Search published articles
Showing 4 results for Opportunities
Mojtaba Ghadirimasoum, Mehdi Cheraghi, Nasrin Kazemi, Zohreh Zaree,
Volume 3, Issue 7 (6-2014)
Volume 3, Issue 7 (6-2014)
Abstract
Entrepreneurial activities in rural areas in spite of existence of appropriate and varied situation have not been institutionalized yet. It is argued that varied restrictions and barriers forced entrepreneurs to leave the rural areas. This paper aims to investigate the most important barriers regarding entrepreneurial activities in rural areas of Zanjan. From purpose stand point the research method has applied nature. It is followed by field work as well as descriptive-analytical method. The statistical society composed of rural households of Ghani Baglo district. According to ١٣٩٠ census it is associated with ٣٣ villages, ٢٣٣٠ households and population of ٩٨٤٣. ١٩٥ households out of ١٢ villages were drawn. Data gathering technique is based on documentary as well as questionnaire. Data analysis is supported by principle component analysis. This study suggests that economic, individual, structural factors are capable of explaining ١٣.٦٤ % of the variations and are considered as the most prominent barriers regarding rural entrepreneurial activities. However, low place adherence, lack of job opportunities, insufficient capital, low job risk and change in jobs are among other rural entrepreneurial restrictions.
Hamdolah Sojassi Gheydari, Ahmad Rumiyani, Somayeh Sanei,
Volume 3, Issue 8 (8-2014)
Volume 3, Issue 8 (8-2014)
Abstract
Industry is being considered as major economic element in any area. This in turn, is associated with prominent economic variables including production, employment and investment. It performs considerable role regarding environmental and social changes. More specifically, rural industries are responsible for provision of job-opportunities, prevention of rural-urban migrations, increase in economic productivity level, economic variation, and decentralization, and resource optimization. This means that rural industries are the major indicator of development level. It is argued that the assessment of rural industrial functions and consequences could assist the planners regarding the achievement of industrial sustainability in rural area. The major objective of this study is to assess and explain the rural industrial function taking into consideration sustainable development approach in Saein Ghaleh district located in Abhar. The nature of this study represents applied character. The research method is based on descriptiveanalytical one. It follows by field work and documentation survey. The sampling size using Cochran’s formula determined to be 104 households. This study suggests that there exist significant influences regarding rural industries and their corresponding economic, social, cultural and physical dimensions. Relative impacts of the industries upon rural development show high score regarding economic and environmental dimensions as opposed to physical dimension. Multiple regression analysis represents that economic dimension possess the highest score and value. Prioritizing of the rural area using victor model show that Chergar village possesses the highest score as opposed to SarveJahan.
Hassanali Faraji Sabokbar, Alireza Darban Astaneh, Kourosh Akhavan Heydari, Masoud Modanlou Jouybari, Helia Khatami,
Volume 10, Issue 37 (12-2021)
Volume 10, Issue 37 (12-2021)
Abstract
Introduction
Good governance is one of the most important and recent concepts that has been addressed in the development literature since the 1980s. A good rural governance is one of the basic requirements for achieving sustainable development. Rural entrepreneurship seeks to find the right combination of resources for economic activities to maximize profits. Moreover, rural entrepreneurs seek innovation and creativity in agricultural and non-agricultural activities, land use and optimal, diverse and innovative resource utilization for rural development. However, the development of businesses and rural entrepreneurship will not be possible without the entrepreneurial support of rural governance. Good rural governance is the implementation of rural policies in line with the people's interest and compatible with national, regional and local interests. It plays an important role in shaping regulation, and promoting and facilitating entrepreneurship for entrepreneurs. Efforts by public and private institutions at the societal level can reduce the constraints of entrepreneurship by reducing opportunity costs for new businesses. The word entrepreneurship comes from a French word meaning commitment and implies the process of creating value through the formation of a unique set of resources in order to take advantage of opportunities.
Methodology
The present research is applied and developmental in terms of purpose and descriptive-analytical in terms of method. Data collection has been done in both filed study and desk research. The statistical population of this study is households living in rural areas of Gomishan County which consists of 5111 households. The unit of analysis is divided in three groups of households in the northern and eastern and western zones of Gomishan. In this study, 263 samples are taken in a systematic random sampling method using Cochran's formula. This study analyzed data in a multidisciplinary decision-making approach using WASPAS method and Interpretive structural modeling (ISM), which identifies and determines the relationships between 31 factors. These are extracted from interviews with experts as well as previous studies on good governance and entrepreneurship.
Discussion and conclusion
In the ISM graph, the factor of participation and legitimacy is at the lowest level of the good governance indicator in facilitating entrepreneurial opportunities, so these variables should be prioritized. The factor of efficiency and effectiveness also acts as a basis in the second level. The factors of consensus oriented, equity and inclusiveness are in the third level, and the factors of transparency and responsiveness are in the fourth level, and the factors of accountability are in the fifth level. In examining the impact and dependency of the variables of effectiveness and efficiency, consensus oriented and legitimacy are more influenced by other factors and from a systemic dependent element. In other words, many factors are involved in creating these elements and they can be less likely to cause the other variables. The variables of equity and inclusiveness are in the group of independent (autonomous) variables that have weak drive and dependence. These variables are relatively unconnected to the system and have high drive and low dependence. Transparency, accountability and participation are among the major effective variables of good governance in facilitating entrepreneurial opportunities. Basically, variables that have high impact power are called major variables. These variables fall into one of two groups of independent or linkage variables. Accountability is one of the linkage variables and has a high drive power and dependence. On the solution of the linear model in the best-worst method, participation variable with a weight of 0.401 were ranked first, as the most important index and accountability variable with a weight of 0.024 ranked eight, the least important indicator of good governance in facilitating entrepreneurial opportunities. The adaptability rate is at an acceptable level of 0.013. Weighted Aggregated Sum Product Assessment is a new technique with high effectiveness and efficiency in the decision-making process. This technique is a combination of weighted sum model and weighted linear combination that make the output of the model very accurate. The findings show that in Gomishan County in terms of the effect of good governance factor facilitating entrepreneurial opportunities, the first, second and third ranks are the villages of the eastern area with a value of 3.365, the villages of the western area with a value of 3.229, and the villages of the northern area with a value of 3.117, respectively.
Good governance is one of the most important and recent concepts that has been addressed in the development literature since the 1980s. A good rural governance is one of the basic requirements for achieving sustainable development. Rural entrepreneurship seeks to find the right combination of resources for economic activities to maximize profits. Moreover, rural entrepreneurs seek innovation and creativity in agricultural and non-agricultural activities, land use and optimal, diverse and innovative resource utilization for rural development. However, the development of businesses and rural entrepreneurship will not be possible without the entrepreneurial support of rural governance. Good rural governance is the implementation of rural policies in line with the people's interest and compatible with national, regional and local interests. It plays an important role in shaping regulation, and promoting and facilitating entrepreneurship for entrepreneurs. Efforts by public and private institutions at the societal level can reduce the constraints of entrepreneurship by reducing opportunity costs for new businesses. The word entrepreneurship comes from a French word meaning commitment and implies the process of creating value through the formation of a unique set of resources in order to take advantage of opportunities.
Methodology
The present research is applied and developmental in terms of purpose and descriptive-analytical in terms of method. Data collection has been done in both filed study and desk research. The statistical population of this study is households living in rural areas of Gomishan County which consists of 5111 households. The unit of analysis is divided in three groups of households in the northern and eastern and western zones of Gomishan. In this study, 263 samples are taken in a systematic random sampling method using Cochran's formula. This study analyzed data in a multidisciplinary decision-making approach using WASPAS method and Interpretive structural modeling (ISM), which identifies and determines the relationships between 31 factors. These are extracted from interviews with experts as well as previous studies on good governance and entrepreneurship.
Discussion and conclusion
In the ISM graph, the factor of participation and legitimacy is at the lowest level of the good governance indicator in facilitating entrepreneurial opportunities, so these variables should be prioritized. The factor of efficiency and effectiveness also acts as a basis in the second level. The factors of consensus oriented, equity and inclusiveness are in the third level, and the factors of transparency and responsiveness are in the fourth level, and the factors of accountability are in the fifth level. In examining the impact and dependency of the variables of effectiveness and efficiency, consensus oriented and legitimacy are more influenced by other factors and from a systemic dependent element. In other words, many factors are involved in creating these elements and they can be less likely to cause the other variables. The variables of equity and inclusiveness are in the group of independent (autonomous) variables that have weak drive and dependence. These variables are relatively unconnected to the system and have high drive and low dependence. Transparency, accountability and participation are among the major effective variables of good governance in facilitating entrepreneurial opportunities. Basically, variables that have high impact power are called major variables. These variables fall into one of two groups of independent or linkage variables. Accountability is one of the linkage variables and has a high drive power and dependence. On the solution of the linear model in the best-worst method, participation variable with a weight of 0.401 were ranked first, as the most important index and accountability variable with a weight of 0.024 ranked eight, the least important indicator of good governance in facilitating entrepreneurial opportunities. The adaptability rate is at an acceptable level of 0.013. Weighted Aggregated Sum Product Assessment is a new technique with high effectiveness and efficiency in the decision-making process. This technique is a combination of weighted sum model and weighted linear combination that make the output of the model very accurate. The findings show that in Gomishan County in terms of the effect of good governance factor facilitating entrepreneurial opportunities, the first, second and third ranks are the villages of the eastern area with a value of 3.365, the villages of the western area with a value of 3.229, and the villages of the northern area with a value of 3.117, respectively.
Zahra Torkashvand, Amir Heidarian, Hasan Ali Faraji Sabokbar,
Volume 12, Issue 43 (4-2023)
Volume 12, Issue 43 (4-2023)
Abstract
Introduction
Migration is a behavior driven by various motives, including education, job search, welfare, and escape from war. In recent decades, there has been an increase in the international migration of Afghan people to neighboring countries, particularly Iran. The impact of migration on a country's development is significant, and skilled and unskilled migration significantly impacts the economy of countries.
Many villages in Iran are currently experiencing slow development and require a strong driving force to bridge the gap. Entrepreneurship is a valuable tool for innovation, changing the primary force behind economic growth and development and a solution for the economic and social advancement of villages in numerous countries. Additionally, Afghan immigrants have been an integral part of the workforce in rural areas for years, whether willingly or unwillingly. They typically reside in regions where labor demand is relatively high and have been able to take advantage of entrepreneurial opportunities in villages near the country's capital. This study addresses the factors that Afghan immigrants consider when identifying entrepreneurial opportunities.
Varamin County is located in Tehran Province. In the past two decades, due to the creation of various jobs in the agricultural and service sectors, it has become one of the most suitable places for Afghan immigrants to immigrate. This research examines rural entrepreneurship opportunities from Afghan immigrants' perspective.
Methodology
For this study, we utilized an applied and developmental approach with a descriptive-analytical methodology and conducted a survey. To gather data, we administered a questionnaire with a 5-point Likert scale. The sample size was determined using Cochran's formula, resulting in 374 Afghan immigrants residing in rural areas. The data were analyzed using frequency, percentage, average, and standard deviation statistics for description and inferential statistics for analysis. In order to check if the data was normal, the Kolmogorov-Smirnov test was utilized.
Additionally, to examine the correlation between the research variables, the one-sample t-test was implemented. The study focused on identifying opportunities for rural entrepreneurship as perceived by Afghan immigrants. The evaluation was conducted from four dimensions: economic-financial, cultural-social, personality-individual, and political-administrative. Each dimension was assessed based on multiple indicators.
The study is performed in Varamin County with eight sections, four towns, and 216 villages. It is one of Tehran province's industrial and agricultural hubs, with rural and urban populations of 14130 and 34062 people, respectively. In addition, 48192 Afghan immigrants live in this county.
Discussion and conclusion
According to the Afghan women immigrants' viewpoint, the total direct effects amount to 1.931. Regarding indirect communications, the indicators with the highest and lowest levels of influence are personality-individual (1.951) and political-administrative (0.371), respectively. As for the direct relationship intensity, the indicators with the highest and lowest values are personality-individual (0.622) and political-administrative (0.371).
According to Afghan male immigrants, the total direct effect is 1.394. Regarding indirect communication, personality-individual indicators have the highest impact at 1.887, while economic-financial indicators have the lowest impact at 0.424. Based on Figure 4, the highest and lowest impact intensities of direct relationships are caused by personality-individual indicators at 0.682 and economic-financial indicators at 0.424, respectively.
Migration is a behavior driven by various motives, including education, job search, welfare, and escape from war. In recent decades, there has been an increase in the international migration of Afghan people to neighboring countries, particularly Iran. The impact of migration on a country's development is significant, and skilled and unskilled migration significantly impacts the economy of countries.
Many villages in Iran are currently experiencing slow development and require a strong driving force to bridge the gap. Entrepreneurship is a valuable tool for innovation, changing the primary force behind economic growth and development and a solution for the economic and social advancement of villages in numerous countries. Additionally, Afghan immigrants have been an integral part of the workforce in rural areas for years, whether willingly or unwillingly. They typically reside in regions where labor demand is relatively high and have been able to take advantage of entrepreneurial opportunities in villages near the country's capital. This study addresses the factors that Afghan immigrants consider when identifying entrepreneurial opportunities.
Varamin County is located in Tehran Province. In the past two decades, due to the creation of various jobs in the agricultural and service sectors, it has become one of the most suitable places for Afghan immigrants to immigrate. This research examines rural entrepreneurship opportunities from Afghan immigrants' perspective.
Methodology
For this study, we utilized an applied and developmental approach with a descriptive-analytical methodology and conducted a survey. To gather data, we administered a questionnaire with a 5-point Likert scale. The sample size was determined using Cochran's formula, resulting in 374 Afghan immigrants residing in rural areas. The data were analyzed using frequency, percentage, average, and standard deviation statistics for description and inferential statistics for analysis. In order to check if the data was normal, the Kolmogorov-Smirnov test was utilized.
Additionally, to examine the correlation between the research variables, the one-sample t-test was implemented. The study focused on identifying opportunities for rural entrepreneurship as perceived by Afghan immigrants. The evaluation was conducted from four dimensions: economic-financial, cultural-social, personality-individual, and political-administrative. Each dimension was assessed based on multiple indicators.
The study is performed in Varamin County with eight sections, four towns, and 216 villages. It is one of Tehran province's industrial and agricultural hubs, with rural and urban populations of 14130 and 34062 people, respectively. In addition, 48192 Afghan immigrants live in this county.
Discussion and conclusion
According to the Afghan women immigrants' viewpoint, the total direct effects amount to 1.931. Regarding indirect communications, the indicators with the highest and lowest levels of influence are personality-individual (1.951) and political-administrative (0.371), respectively. As for the direct relationship intensity, the indicators with the highest and lowest values are personality-individual (0.622) and political-administrative (0.371).
According to Afghan male immigrants, the total direct effect is 1.394. Regarding indirect communication, personality-individual indicators have the highest impact at 1.887, while economic-financial indicators have the lowest impact at 0.424. Based on Figure 4, the highest and lowest impact intensities of direct relationships are caused by personality-individual indicators at 0.682 and economic-financial indicators at 0.424, respectively.
| Page 1 from 1 |
Related Websites
Site Keywords
نشریه, Academic Journal, Scientific Article, کلمه شماره یک, کلمه شماره یک, کلمه شماره یک, کلمه شماره یک, کلمه شماره دو, کلمه شماره یک, کلمه دوVote
Designed & Developed by : Yektaweb