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ABSTRACT The main objective of the present research was to determine the degree and the influential factors of organizational agility among the employees of South Oil Company of Iran. Based on the literature review, seven factors which had the most effects on organizational agility in the governmental unit had been chosen and lined up according to their significance. These factors include: employee flexibility, employee responding, organizational change speed, employee speed in reacting to environmental changes, little integrity and complexity of organizational structure, mutual employee cooperation and their managerial functions. This research was applying research. The population of the present research was consisted of all the employees of National Oil Company of Southern Iran which includes 250 people. Using Crecy & Morgan Table the number of sample was determined as 150 participants. Two hundred questionnaires were distributed among the population sample and by using the structural equations model and the AMOS.18 software, the results were collected. The results of this research showed that all the six factors had a positive and significant effect on employees' organizational agility. And among the studied factors, employees' managerial functions had the most influence on organizational agility of employees of National South Oil Company of Khuzestan Province (Iran). Keywords: Agility, Organizational Agility, National South Oil Company INTRODUCTION The Influential Factors in Organizational Agility of Employees of South Oil Company Today the paradigm of agility has been taken into consideration in order to adapt and conform to the organization and also to react quickly to the needs of market and customers. Through agile making of the employees and on the wake of it, the organization can struggle against its powerful competitors in business. Agile competitor accelerates change and creates new markets and customers that except knowing them from methods in which the needs of customers and markets appear. Although agility allows organizations to react much quicker than the past, but the strength of their agile competitor is in prediction of customer and market's needs before the operation and management in creation of new market through constant innovation. Agility is a comprehensive reaction to a new competition environment which is formed by the forces that have reduced the control of mass production syste

The Impact of Context-Based Capabilities on the Type of Communication of Spaces

Perceiving an architectural work requires a comprehensive understanding of its context, since the context has a direct impact on both the body and the activities. This recognition can be examined from two aspects: the study of natural and geographical conditions and human-based conditions which include the symbolic, religious-cultural, historical, social, and economic values. What has been considered through this article was the effect of these factors on the type of communication between the spaces. Due to the climate and cultural characteristics across Guilan province, it seems that the spaces from their public realm- that is from the neighbourhood spaces to their most exclusive parts- include rooms and closed spaces that have such continuity which was created by the elements of the boundary between these spaces. These elements link the spaces together and lead to a hierarchy of activities. The research question is whether the relationship between spaces and spatial continuity in traditional architecture of Rasht is influenced by the capabilities of the context or not? This is a descriptive-analytical research, which used a qualitative research method. Data collection was carried out by using desk research method   and field observations. The data was analysed through content analysis and independent of numerical documentation within an analogy process. With respect to the effect of filed capabilities on the traditional architecture in Rasht city, first a sample of buildings was selected and the physical elements contributing to continuity of the space have been studied. Then, the effect of the context-based capabilities on them was considered. It was found that these capabilities contributed to formation of the physical elements and behavioural patterns which itself can affect the type of relationship between space and its continuity within old urban tissues of Rasht, including the sensory continuity and the physical continuity between the spaces

Land Change Detection and Identification of Effective Factors on Forest Land Use Changes: Application of Land Change Modeler and Multiple Linear Regression

Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is performed every year that it makes great damages in natural resources in a wide range. In order to identify the effective factors on reducing the forest cover area, the multiple regression was used from 1995 to 2015 in the Mazandaran forests. A multiple regression perfectly enables to explain the relationship between reducing the forest area (dependent variable) and its influencing factors (independent variables). In this study, Landsat TM data of 1995 and Landsat ETM+ data of 2015 were analyzed and classified to investigate the changes in forest area. The images were classified in two classes of forest and non-forest areas and also forest map with spatial variables of physiography and human were analyzed by regression equation. Detection satellite images showed that during the studied period there was found a reduction of forest areas up to approximately 257331 ha. The results of regression analysis indicated that the linear combination of income per capita, rain and temperature with determined coefficient 0.4 as independent variables were capable to estimating the reduction of forest area. The results of this study can be used as an efficient tool for managing and improving forests regarding to physiographical and human characteristics

Establishment of a New Urban Solid Waste Management Programs in Mazandaran Province, North of Iran

This study reports residents’ preferences to establish a new urban solid waste management programs results from a double-bounded dichotomous choice contingent valuation method and choice experiment in Mazandaran province, north of Iran. In order to analysis the residents’ preferences, a dichotomous hypothetical market and a choice sets with different attributes and options were used For estimation of two mentioned methods, the normal logit and conditional logit were applied. In addition, an empirical comparison of the welfare measures derived from the doublebounded DC-CVM and CE is conducted. The main results show that there is no significant difference between the values derived from the two methods. The mean of WTP to establish a new solid waste management programs in CV and CE were estimated 2.45 and 2.61 US$, respectively, per a person per a month. Also the estimated marginal WTP for all attributes in CE was 8.1 US$ per a month. The results suggest that both double-bounded DC-CVM and CE can be successfully stablished for improvement environmental level quality in Mazandaran province. This paper could provide the basis for further development of other new programs on sustainable urban management of solid waste in Mazandaran province.Keywords: Dichotomous choice, Willingness to pay, Solid waste management, Mazandaran province, Ira

Prioritizing critical success factors of knowledge management using FAHP: A case study in Refah Bank branches of Iran

Therefore, this research has explained the critical success factors of knowledge management, for this purpose following previous research and literature review, research prototype was developed. In the next stage, the prototype was given to experts and after implementing amendments based on a consensus of experts opinion the components and model parameters of Li Huang’s model (2012) was the basis of the research. He has introduced the critical success factors in six categories, including cultural factors, environmental factors, organizational characteristics, individual characteristics, information technology infrastructures and knowledge management features. On the other hand, due to the influence of various factors on the process of knowledge management implementing, the multi-criteria decision making techniques were used and based on this the decision making issue was structured in three hierarchical levels. And linguistic words with their meanings were replaced in the form of triangular fuzzy numbers by gaining the knowledge and information of decision makers in the form of linguistic words through related paired comparisons questionnaire. Then the obtained data was arranged in matrix form in Excel and finally prioritization was done based on fuzzy hierarchy analysis using code writing in Excel and with the help of Super decision software. Results of this research could be used as a guide of way and a supplement for implementation of knowledge management so that the organization devote its resources such as financial and time resources to achieve and improve critical success factors of knowledge management according to the priorities of the key success factor of knowledge management

Land change detection and effective factors on forest land use changes: application of land change modeler and multiple linear regression

Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is performed every year and this causes great damages in natural resources in a wide range. In order to identify the effective factors on reducing the forest cover area, multiple regression was used from 1995 to 2015 in Mazandaran forests. A Multiple regressions can link the decline in forest cover (dependent variable) and its effective factors (independent variable) are well explained. In this study, Landsat TM data of 1995 and Landsat ETM+ data of 2015 were analyzed and classified in order to investigate the changes in the forest area. The images were classified in two classes of forest and non-forest areas and also forest map with spatial variables of physiography and human were analyzed by regression equation. Detection satellite images showed that during the studied period there was found a reduction of forest areas up to approximately 257331 ha. The results of regression analysis indicated that the linear combination of income per capita, rain and temperature with determined coefficient 0.4 as independent variables were capable of estimating the reduction of forest area. The results of this study can be used as an efficient tool to manage and improve forests regarding physiographical and human characteristics.Keywords: Land change Modeler, Multiple linear regression, remote sensing, Mazandaran forest

Land Change Detection and Identification of Effective Factors on Forest Land Use Changes: Application of Land Change Modeler and Multiple Linear Regression

Reducing forest covered areas and changing it to pasture, agricultural, urban and rural areas is performed every year that it makes great damages in natural resources in a wide range. In order to identify the effective factors on reducing the forest cover area, the multiple regression was used from 1995 to 2015 in the Mazandaran forests. A multiple regression perfectly enables to explain the relationship between reducing the forest area (dependent variable) and its influencing factors (independent variables). In this study, Landsat TM data of 1995 and Landsat ETM+ data of 2015 were analyzed and classified to investigate the changes in forest area. The images were classified in two classes of forest and non-forest areas and also forest map with spatial variables of physiography and human were analyzed by regression equation. Detection satellite images showed that during the studied period there was found a reduction of forest areas up to approximately 257331 ha. The results of regression analysis indicated that the linear combination of income per capita, rain and temperature with determined coefficient 0.4 as independent variables were capable to estimating the reduction of forest area. The results of this study can be used as an efficient tool for managing and improving forests regarding to physiographical and human characteristics

Prioritizing critical success factors of knowledge management using FAHP: A case study in Refah Bank branches of Iran

Therefore, this research has explained the critical success factors of knowledge management, for this purpose following previous research and literature review, research prototype was developed. In the next stage, the prototype was given to experts and after implementing amendments based on a consensus of experts opinion the components and model parameters of Li Huang’s model (2012) was the basis of the research. He has introduced the critical success factors in six categories, including cultural factors, environmental factors, organizational characteristics, individual characteristics, information technology infrastructures and knowledge management features. On the other hand, due to the influence of various factors on the process of knowledge management implementing, the multi-criteria decision making techniques were used and based on this the decision making issue was structured in three hierarchical levels. And linguistic words with their meanings were replaced in the form of triangular fuzzy numbers by gaining the knowledge and information of decision makers in the form of linguistic words through related paired comparisons questionnaire. Then the obtained data was arranged in matrix form in Excel and finally prioritization was done based on fuzzy hierarchy analysis using code writing in Excel and with the help of Super decision software. Results of this research could be used as a guide of way and a supplement for implementation of knowledge management so that the organization devote its resources such as financial and time resources to achieve and improve critical success factors of knowledge management according to the priorities of the key success factor of knowledge management

Factors Affecting Consumers' Dairy Products Preferences

Choice models represent a valid approach for the analysis of consumers' preferences as these models offer an opportunity to investigate many aspects that influence consumer behaviour. This study with the purpose of investigating consumers' preferences and their affecting factors were conducted by using the nested logit model in Sari, Iran in 2018. The results revealed that yoghurt, milk and cheese had the most preferences among the dairy products and consumers had more tendencies towards using low fat than full-fat dairy products. The results of factors affecting dairy products choice indicated that price and family cost decreased the probability of products being chosen, and age, education and attention to exercise variables increased this probability. Marketing mixed variables (4p) also had a significant effect on the choice of dairy products