نشریه مدیریت زنجیره ارزش
پیاپی 7 (بهار و تابستان 1397)

The present study aimed to investigate the priority of factors affecting job satisfaction and its relationship with organizational commitment by applying TOPSIS technique at the national company for distribution of oil products in East Azerbaijan. The research method was descriptive-correlational and the data was collected through a questionnaire and an interview with experts in this field. The statistical population of the study consisted of all employees of the National Iranian Oil Distribution Company of East Azerbaijan (350 people). A total of 184 members of the community were selected using the Morgan table as the sample. Cronbach's alpha technique was used to ensure reliability of the questionnaire and content validity was used to ensure its validity. Pearson correlation coefficient and SPSS software were used to analyze the data. According to the results of research hypotheses, there is a significant relationship between job and social factors with organizational commitment, while there is no significant relationship between organizational commitment and organizational commitment in the AYP distribution company. Also, the results of applying MADM techniques such as AHP and TOPSIS show that among the five factors affecting job satisfaction (personal, occupational, managerial, organizational and social factors), individual factors have the greatest impact on organizational commitment and further options related to these factors were ranked by TOPSIS Technique, so that among the individual factors (job title), job factors (job promotion), management factors (employee empowerment), organizational factors (how to work in the workplace) and among Social factors (social attitude toward occupation) had the highest rank.

Value management and talent management systems represent a kind of paradigm shift from traditional management to modern management, which involves focusing on organizational elites. On the other hand, the importance of performance in studies and application areas such as managerial rewards and survival of organizations has made it more important to gain insight into the structure and how it is measured and to understand the factors that can affect it. The general purpose of this research is to investigate the effect of talent management on improving the human resources performance of Islamic Azad University of Urmia. The model in this research is adopted from Verhagen. To this end, the value-based management systems questionnaire in the form of a basic hypothesis and eight sub- hypotheses were used. After measuring the validity and reliability, sample was selected from 138 out of 214 staff. The data were classified and categorized and Pearson correlation test and regression were used to analyze the data. The results of hypothesis testing showed the effect of talent management and each dimension (standardization, strategy, organization development, viewpoint, infrastructure and processes, management factors, participation of managers, political factors) on improving the human resources performance.

In today's competitive world, there are a lot of parameters such as market selection and pricing which affect the level of demand. Combination of marketing and pricing is a powerful tool to control demand in a competitive supply chain. For design production and supply planning model in agile supply chain, a three-level supply chain is considered, including producers, distribution and potential markets where considered as chain customers. In this problem there are M potential markets each of them and every one of their orders selected on the basis of their product sales prices, and then in each period their demands are provided with pricing policy in an optimal level that maximizes chain profit. Also the best production plan to meet the level of determined demands of selected markets is provided. On the other hand, the problem also is an order selection. In order to design an agile supply chain network model a nonlinear mixed integer programming that provides required processes to maximize the total profits is presented. The integrated decisions in this program includes selecting participants for each level, demand management, pricing, production, inventory and distribution planning. Finally, to check the quality of the model, three groups of example randomly is created, solving by software Gams, problems with small, medium and large size.

Improving of performance is one of the important procedures that included in growing of economics and increasing of competitiveness between businesses, to the extent that successful countries achieving more significant part of their productivity from this way. The aim of this study, is evaluating the performance of industrial towns which settled in ZANJAN city, with using of data envelopment analysis. For this reason the performance of 13 towns and industrial areas, have been assessed during last 3 years. The model of this study is BCC, which foundation of them includes of: amount of industrial costs-operational costs and static factors includes of: the number of employments and amount of absorbed investments. For this reason, WINQSB software has been used. Results showed in 2014 zinc industrial towns (unit No.1 and 2) and ANGURAN, in 2015 industrial towns of ZANJAN (unit no.1), ABHAR (units no. 2and 3), and industrial town of TAROM, in 2016, industrial towns of ZANJAN (units no 1 and 2), unit no.3 of ABHAR, zinc and industrial towns of HIDAJ and KHORAMDARE have 100% efficiency. In general, two industrial towns of ZANJAN (units No.1 and 2) and Sanghshahr in 3 continuous years (2014-2015-2016) have 100% efficiency and industrial region of TAROM, MAHNESHAN and KHODABANDEH have lowest efficiency

Environmental protection and conservation is something that may have been remarkable since the beginning of human social life. The supply chain (logistics and operations management) involves logistics and the issue at the top management level of the organization. In a world that is constantly evolving, the need for appropriate responses from organizations and industrial and manufacturing companies has doubled. In this study, by reviewing theoretical literature and a survey of experts and experts, green supply chain management strategies were identified, which include management, economics, policy making, and technology. Then the identified factors were ranked and evaluated. For this purpose, the dynamics analysis method has been used as a decision-making technique. The research is applied in terms of the purpose and in terms of data gathering is descriptive- correlation type. The study population consisted of 15 managers and experts of polymer industry in Fars state. Data analysis showed that the agent of management area (establishment of environmental management system) has the highest rank among other factors. The results of this research can be used for industries that intend to plan at the level of green supply chain management strategies.