فصلنامه مطالعات مدیریت صنعتی
پیاپی 25 (تابستان 1391)

This study examines the impact of supply chain integration (SCI) dimensions on competitive capabilities. For this purpose, the relationship between dimensions of SCI (internal integration and external integration including supplier integration and customer integration) and competitive capabilities (cost, quality, delivery,product innovation) were examined using a conceptual model. The data was collected from top managers of 44 medium and large enterprises of Mashhad Food and Beverages Industries by survey approach. In this study, partial least squares method by Smart pls software and Hulland procedures are utilized to evaluate the measurement and structural models. The results indicated that internal integration is a prerequisite for external integration. The study also revealed that, internal integration and external integration have positive impact on improvement of firms’ competitive capabilities. It was further noticed that, internal integration improves competitive capabilities through external integration.

Nowadays one of the most important decisions for the companies is whether to outsource a part of the organizations’ value chain or not. Some studies show that majority of them, consider outsourcing as a cost reduction approach, not as a strategic decision. Some researches have paid attention to this concept. This paper presents a decision making framework which consists of five criteria, thirty scenarios and eight strategies. According to this framework, activities outsourcing decisions can be made. This framework has been applied for thirty three manufacturing sets of Samand automotive. The suggested option for twenty six of them is “Supplier Development and Outsourcing”,for five sets is “Insourcing”. “Partial Outsourcing” is suggested for one set and “Spin off” for another one.

Knowledge has widely been acknowledged as one of the most important factors for corporate competitiveness, and we have witnessed an explosion of IT solutions claiming to provide support for knowledge management. Due to the rapid development of knowledge and information technology (IT), business environments have become much more complicated. In order to cope with ensuing omplications,enterprises ought to incessantly innovate; otherwise, it will be very difficult for them to survive in the marketplace. Hence, IT can help a firm aiming to gain a competitive advantage. In addition, many studies have argued that business value comes mainly from intangible assets,such as knowledge. Thus, knowledge workers will be able to replace clerical workers as the new mainstream of manpower resources, a field in which the development of IT is the major force for change in knowledge management system (KMS). Therefore, based on the definition of the six gaps in KMS, this study explores the role and effect of IT in the implementation of KMS in the IK company. Each Gap is discussed and the results of an empirical assessment employed to evaluate them are then reported in order to identify each gap's situation in a company and which one has to be improved first.moreover, relationships between KMS and IT are analyzed and demonstrated by means of the literature reviews, expert interviews and questionnaire analyses. Furthermore, this study discusses how to enhance the effectiveness and efficiency of implementing KMS through appropriate IT tools.

This research study aims at using Data Mining and Fuzzy Logic approaches to classify the credit scoring of banking system applicants as to cover uncertainties and ambiguity connected with applicant classes and also variables that affect their behavior.The methodology, according to a standard Data Mining process, is to collect and refine the client data, then those variables which are in linguistic forms are converted to fuzzy variables under the supervision of banking experts and final data are modeled using Fuzzy Decision Tree, subsequently. The unfuzzy data are also modeled using the other algorithms.The results of the study suggest that as far as client distinction accuracy is concerned Fuzzy Decision Tree produces better results compared to Traditional Trees, Neural Networks, and statistical procedures such as Logistic Regression and Bayesian Network.However, it is not as accurate as Support Vector Machine and Genetic Tree. On the other hand, Fuzzy Decision Tree technique has gained better prediction than prediction performance of bank credit scoringexperts.

In this research, exploratory mixed research are used and implemented at two stages. At first stage, two questionnaires are designed. Based on Cambridge University’s Model, responsiveness of Almas-e-Kavir and Ehsan Industrial Group are surveyed and analyzed that are done by comparative-theoretical case study. A questionnaire is designed according to the comparative-theoretical case study that determines responsiveness’s degree of ceramic tile industry’s companies. At the same time, literature reviews of knowledge management enablers are done and a questionnaire is designed. At the second stage, two questionnaires are distributed and after gathering them, data are analyzed. In this stage, questionnaire of knowledge management enablers are validated by confirmatory factor analysis. Then, affect of nowledge management enablers on responsiveness are analyzed by discriminate analysis. Responsiveness at manufacturing systems is ability to achieving operational objective with internal and external disturbances. Results are shown that infrastructures of knowledge management have more effect on responsiveness than people, strategy, and processes.

The objective of this study is to investigate the impact of industry concentration on the average stock returns, and proposing a model to explain this relationship. Explanatory variables are Herfindahl-Hirschman Index of industry concentration, industry size (market equity), book-to-market ratio, leverage, past 1-year's industry return and systematic risk (beta); also the industry average return is taken as the dependent variable. With respect to the concentration index is an industry specific, all of the dependent and independent variables in this research are evaluated in industry level. The study covers 1380- 1386 and uses 31 manufacturing industry-year observations. For examine the research hypothesizes, we use the Panel Data technique with Fixed Effect and Generalized Least Squares (GLS) method.Results indicate that in Tehran Securities Exchange there is significant relationship between industry concentration, size, book-to-market ratio, systematic risk and average stock returns. On the other hand,leverage and past 1-year's industry returns are not associated with annual industry returns.

Now days, many internal banks of country experiment a kind of credit risk, where can enumerate increasing non-performing loans of the banks and not repayment problem of the central bank debts as its results. Therefore, to establish a system of credit risk management is necessary and essential. The Five Cs of credit valid system is one of the rating systems of customers where can be considered for credit risk management. In the other hand, existence of a suitable tool to establish this system is necessary. The VIKOR method is one the efficient tools to rate feasible alternatives where can be used for rating credit of customers. In this paper, a method of advanced VIKOR will be proposed which can present the optimal values of attributes preference weights in decision making process. To illustrate the method proposed, a numerical example will be presented about credit rating problem of banks customers and the best feasible alternative to give facilities will be determined.

The significant role of investment in the process of societies’ economic growth and development is highlighted in most theories on economic growth and development. Taking into account the shortage of investment sources and the necessity of optimal allocation of these sources for promoting economic growth, it is necessary to rightly identify the relative advantages of a country as regards the allocation of investment sources and also direct investment sources in most productive and efficient sectors in order to provide for efficient use of limited sources to accelerate economic growth. Thus, it is much necessary to use the scientific methods of economic engineering and economic evaluation of projects to onomically and financially evaluate investment projects. This descriptive, analytic and applied study evaluates economic indicators of investment in Tarom (located in Zanjan Province) as an international recreational-tourist town via different criteria of economic and financial evaluation and the use of COMFAR (A computer software for simulating the financial and economic situation of investment projects). The results indicated that conducting the project of Tarom Recreational-Tourist Town has no justification in terms of indicators of financial and economic evaluation.