One of the most basic requirements of financial institutes, governmental and private banks in the present age is to have a good understanding on customers & apos; behaviors of bank network. It helps banks determine customer loyalty, which yields profit making for bank. On the other hand, it is important to know about credit risk of customers with the goal of decreasing loss and better allocation of bank resources to applicants of receiving loan. According to nature of customer loyalty discussion and credit risk, these two issues are separately studied. The present article deals with studying customer loyalty and prioritizing based one private bank in Kurdistan province. The proposed model of this paper studies customer loyalty by using Recency Frequency Monetary (RFM) factor for prioritizing customer based on loyalty properties and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In addition, in order to calculate the relative importance coefficient or weight of loyalty properties in RFM method, the pair wise comparison matrix based on analytical hierarchy process (AHP) is used. Results show that in the present study, necessarily customers having higher average monetary value during a specified time period does not have much higher priority compared with other customers.

In an environment, which is highly competitive and everything changes rapidly, managers of organizations face with problems such as how to identify important factors preventing organizations from optimum use of available resources and capacities and invest more on key factors. To achieve this goal, we need to develop an effective strategy map for organizations. The strategy map is a constructional and expanding procedure to identify relationships among all the organization & apos; s strategic goals, which play a key role in achieving competitive advantage. Undoubtedly, representing a model to identify and to evaluate the important items for each of available goals in strategy map of each organization is a significant help for management to access higher competition benefits. In this paper, strategic objectives in the strategy map of one of the best producer of electric auto part makers in Iran called Electric Vehicle Co. East are evaluated based on balanced score card perspective and to assign appropriate values to available factors we use a hybrid method consist of AHP technique with Fuzzy logic.

Consulting helps managers or other people find appropriate solutions for challenges they face in their businesses. Most of the losses incurred by the people and the society could be prevented using appropriate consultation. Consultation, also, refers to people & apos; s participation in decision making. Despite dramatic development in management consulting industry in the world during the last three decades, consulting industry in Iran has faced numerous challenges. This study aims to examine the factors affecting the efficiency of management consulting services in small and medium-sized businesses and it focuses on food industries in Tehran as a real-world case study. The necessary suggestions regarding the hiring of a consultant and increasing the efficiency of management consulting services in business have been offered in this study. Some recommendations deal with the way that management consultants should respond to the managers & apos; needs, act as a reliable and efficient adviser in public or private businesses and find their position in the Iranian market. The conceptual model of this study shows the influence of key factors affecting the purpose of consulting on the efficiency of management consulting services. To do the research, 90 people are selected as the sample size in a descriptive study with random sampling of the managers of aforementioned companies using a questionnaire. Cronbach’s alpha method was used to assess the reliability of the questionnaire. For assessing the validity of the questionnaire, we use standard questionnaire, which has already been used.

Over the past two decades, two-way communication via web-based exchanges has been a popular method for different activities such as electronic transaction, publication, broadcasting, and other service applications. However, it is always necessary to measure the performance quality of web services using different technique such as e-SERVQUAL model. The proposed study of this paper uses this technique for measuring the quality of Iranian university e-services. The proposed study distributes a standard questionnaire among students who use this service through internet. The results indicate that only efficiency and online service quality in the e-service system are desirable. Managerial implications are represented

Previous studies have convincingly shown that employees' family lives can affect their work outcomes. We investigate whether family-to-work conflict (FWC) experienced by the employee also affects the turnover intention of a co-worker. We predict that the employee's FWC has an effect on the co-worker's turnover intention through the crossover of positive and negative work attitudes. Using a sample of 154 co-worker dyads, we found that the employee FWC was positively related to co-worker turnover intention through the crossover of (reduced) work engagement. Results show that family matters at work, affecting employee. In addition, employee's job engagement was positively related to his (her) co-worker job engagement and it was negatively related co-worker turnover intention and employee's FWC was not positively related to co-worker turnover intention trough the crossover of (reduced) feelings of engagement.

This paper presents a systematic approach for evaluating the performance of a project based organization using a two level fuzzy data envelopment analysis (DEA) technique in project based organizations. In order to determine the required inputs and outputs, important indicators are selected using both expert judgments and statistical analysis and a two-level DEA model is adapted. In this model, by considering different inputs and outputs through a hierarchical process, a large number of sub indicators are provided and rolled up to a higher level. Since inputs and outputs are combinations of qualitative and quantitative indicators, fuzzy logic is also included through the modeling procedure. In addition, since the exact amount cannot be attributed to the indicators, the proposed model uses interval values for the project life cycle. Finally, some of the projects are evaluated throughout the approach proposed in this paper.

The purpose of this paper is to predict the S & P500 down moves with technical analysis indicators using learning vector quantization (LVQ) neural networks and probabilistic neural networks (PNN). In addition, entropy-based input selection technique is employed to improve the prediction accuracies. The out-of-sample simulations show that LVQ outperforms PNN. In addition, the Entropy-LVQ system achieved higher accuracy in comparison with the literature.

Decision making problem is the process of finding the best option from all of the feasible alternatives. One of the most important concepts in decision making process is to identify the weights of criteria. In real-world situation, because of incomplete or non-obtainable information, the data (attributes) are often not deterministic and can be treated in forms of fuzzy numbers. This paper investigates a method for deriving the weights of criteria from the pair-wise comparison matrix with fuzzy elements. Finding the weights of criteria has been one of the most important issues in the field of decision-making and the present method uses goal programming to solve the resulted model. In addition, using a ranking function we convert each obtained fuzzy weight to a crisp one, which makes it possible to compare the criteria. The proposed model of this paper is supported by several examples and a case study.

This paper presents the decentralized supply chain with two suppliers and two competing retailers. It also investigates the sourcing and pricing strategies of two retailers in a decentralized supply chain system under a supply disruption environment. These retailers face their individual stochastic demand markets; however, they compete with each other through a two-stage price and service operation. The interactive dynamics among retailers is characterized, including the existence and uniqueness of the Nash Equilibrium in service and price games demonstrated.

In today & apos; s competitive world, productivity- as a core source of production - is the most important target of the organization. Experimental studies in developed industrial countries prove that productivity improvements resulted from development of management systems play a more important role in production than physical increases in labor and capital factors. This paper, while focusing on productivity from a CRM perspective, employs a European Organizational Excellence Model framework to identify factors affecting productivity and the role of CRM systems. We perform an empirical study for a case study of home appliance manufacturing and using a questionnaire computed present status and compared with desired status of CRM components such as customer leadership, strategy, skill and motivation of labor work, effective use of information technology and process management.