نشریه مدیریت فردا
پیاپی 46 (بهار 1395)

According to Environmental challenges organizations have to use knowledge management and intellectual capital. It seems knowledge is crucial for organizations. Intellectual capital and intangible asset are the base of economic competitive advantage, that provided knowledge and organizational techniques and skills with proper communication with customers and business experience along the way and relied on the. They move towards the knowledge economy with major challenges such as dynamics and uncertainty and complexity faced. In this condition necessary to learn more about intellectual capital and its immediate control. It has increased identify and manage intangible assets companies. In this study, the impact of processes of knowledge management on intellectual capital in a knowledge-based center moderated. Founds showed knowledge management processes have a significant effect on intellectual capital. In order to fertilize intellectual capital could be used knowledge process dimensions change.

The development of networked organizations usually done by a focal firm (the mother). For this purpose focal firm in addition to defining the strategy of the partner firms and the nature and mechanisms of the network must develop a business model strategy to be implemented at the network. Significance of business model in a network is important as many experts as Zott and Amit realize business model as an engine for network base strategy. In the present study, we look at the issue of collaboration networks business model designed , to reach the goal of this study we consider focal firm as a symbol of collaborative network then we design a business model for focal firm. In this regard, after the literature review, the model presented by Osterwalder (2004) (BMO) was chosen as the Meta model, after that we adding several factors extracted from the literature on design requirements and the formation of networks. Then the model in Delphi process was judged and developed by experts. After confirming the final model by experts to further validate we design questionnaires that given to Academic experts and managers who working in two network, the result of that questionnaires approved the applicability of the model

Portfolio selection is one of the most important areas in financial decision-making; A portfolio of stocks that could bring the highest rate of return and the lowest risk investment for its owner simultaneously. However in choosing the most prefered portfolio just these factors are not decisive and according to the economic environment, many factors can affect this process which should be employed. Therefore, these diversity of factors, bring to the limelight the importance of multi-criteria decision-making approaches. Data Envelopment Analysis (DEA) is one of this approaches. The main purpose of this paper is comparing the traditional DEA approaches to a new proposed algorithm. In traditional approaches simply assumed that return to scale is constant or variable. This simplification may cause large errors. In the new algorithm by analyzing the behavior of return to scale, appropriate model will be used. As a case study, the models have been solved with real data belonging to Tehran stock exchange and the results have been analyzed.

Projects are planned based on estimated amounts that are the result of having little information about the future plans. According to the uncertainty of planning, time delays and costs of uncertainty are inevitable. The main objective of this study is to present a new approach based on failure mode and effects analysis and fuzzy logic to identify the affecting risks on duration of projects and ranking them using Kepland technique. In addition, in this research Shannon entropy is used for calculation of the weights of indexes. So after the study of related researches as well as through interviews and Delphi technique, some risks were identified. Then, based on three indicators of risk in the FMEA (severity, probability of occurrence, probability of detection), three questionnaire was prepared and their validity was confirmed by experts and reliability was calculated by Cronbach coefficient using SPSS software. The population of the study is 22 managers and experts that work on Debal Khazaei Company. Using triangular fuzzy numbers, the verbal variables of questionnaires became fuzzy numbers. Shannon entropy is used for calculation of weight of each index. Then, using decision making methods, ELECTRE TAXONOMY, TOPSIS and SAW, the risks are ranked. Finally, because of the relative difference of ranking in different techniques, Kapland technique is used to combine the results. TO help for developing the strategies of responding to the risks, some suggestions are presented. The contribution of this research is the simultaneous use of FMEA and Shannon's entropy to analisys the importance of risks and the ranking of them using Kepland technique.

The present paper aims at presenting an incorporative fuzzy approach towards evaluating of performance using Balanced Scorecard (BSC). To do so, first, based on the data collected from evaluating the components of strategic management, main objectives, key factors of success, and performance evaluation indices are identified. Next, using TOPSIS fuzzy method, the indices are prioritized and ranked so the indices with the highest impact on performance evaluation are identified and classified in the form of balanced scorecards. 29 people from among the elite, chiefs and key experts filled out a questionnaire, in order to achieve the goals of the study. The validity of the questionnaire was confirmed through the experts, and its reliability was defined using Cronbach's alpha (0.89%). At the end, the proposed model was executed in a branch of Saderat Bank in Tehran. The application of the improvisations resulted in the improvement in almost all defined indices, i.e., the Total Performance Index for the studied organization was 72.38% by April, 2015 (based on the last three months prior to that), which was raised to reach 79.16% three months after executing the model (the end of July, same year).

Technology Supply Chain plays an important role in identification and supplying of product and process technologies in a corporation. So, during the formation of decisions for product, processes and supply chain technologies architectures have be made simultaneously. This article presents a new model to architecture and design for technology supply chain by using Product architecture technique in the corporation. The approach of this research is qualitative. We have gathered primary data by doing deep interview with experts of Iranian automotive companies. We have analyzed data by content and thematic analysis methods. Then, in the base of analytical data, we designed of final model. The designed model is verified and validated by the several focus groups and descriptive case study research methods.

The present study aimed to investigate the impact of demand management policies uncertainty on Tehran Stock Exchange output. The uncertainty in money supply and government expenses variables on stock exchange output has been studied using monthly data over the period of 1387-1392. The results indicated that money supply variable has the problem of uncertainty while government expenses dont. The results of MSEGARCH model on money supply variable showed that uncertainty in money supply variable in both high and low volatility has a significant negative impact on stock exchange output. The results of MS-VAR model represent the fact that government expenses have a significant impact on stock exchange index in both upswing and stagnation phases. Accordingly, it is observed that the uncertainty in demand management policies is influencing stock exchange output and these influences are in conflict with each other, so it is suggested that the government managers and policy makers (government expenses) and Central bank (money supply) implement the policies with more coordination in order to decrease the amount of these conflicting impacts.

Innovation in today’s competitive world and changing environment, is necessary not only for the growth of organization, but also for their survival. IT companies need continuous innovation more than other companies ,because of high speed of change in this area and if not innovative, they immediately exclude from competitive IT industry. The key of innovation is in innovative behavior of staff. There are various factors which have impact on the innovative behavior. This study examines the effect of intuitive problem solving style on the experts’ innovative behavior and the moderator role of knowledge sharing behavior. The statistical society of this research is IT experts of companies which are members of computer trade organization of KhorasanRazavi. Three scales of algebraic problem solving , Mora knowledge sharing behavior and Johnson innovative behavior, a 5-choice Likert range(total 26 question) have been used for measuring the research variables. Cluster sampling was performed and sampling included 290 IT experts of KhorasanRazavi province. Pearson‘s correlation and hierarchical regression style is used for data analysis. This research suggested that intuitive problem solving style to generate idea, promotion and implementation of idea (dimensions of innovative behavior) have a significant and positive impact and also the relationship between intuitive problem solving style and innovative behavior moderates knowledge sharing behavior in three dimensions of generating idea, promoting idea and implementation of idea.