فهرست مطالب saeed khodamoradi

Sharing capacity among the manufacturing companies, which are not competitors at the same level, can increase their profit and sustainability. This study aims to propose a model for identifying and determining the horizontal collaborative clusters in industrial holdings. 

 To achieve the mentioned clusters in the pharmaceutical industry, first, the affecting criteria were determined based on the literature review, and according to the opinions of managers, supervisors and pharmaceutical holding experts. Then, the related dimensions of each sub-criteria were specified and the common products of the companies were grouped into eight clusters. In this step, each drug was assigned to a cluster of which, the characteristic vector had the shortest distance from it. In the following steps, the obtained clusters were assigned to the companies. For this purpose, the similarity of clusters and companies were measured and each cluster was assigned to the most similar company. Finally, the quality of clustering was measured using cosine similarity, by calculating the distance between the company's products in pairs. The average value of such distances was assumed as the representative value of the product distance in the clusters. 

Pharmaceutical products were categorized into eight clusters, and each one was assigned to a company. Also, the components’ cosine distance inside each cluster was compared, before and after the clustering. The results indicated that the mean distance of products decreased after clustering. Since the similarity of the products in each cluster was increased, it seems that the clustering was sufficiently qualified. 

 One of the main limitations of this study was the lack of a consistent standard in the information provision of companies. Another limitation was the lack of transparent information provided by companies and the time required to collect data. Also, there was a lack of related studies on how to implement such a method. The lack of cooperation of some experts in completing the questionnaire brought other difficulties and led to a longer-lasting research time. As a future study opportunity, it is suggested to perform a feasibility study on the horizontal collaboration in industrial holdings according to different variables such as holding size (small, medium, large), type of industry (manufacturing and commercial), type of sector (private and public) and legal status (Individual ownership, partnership), market demand and market size. Such study results in determining the extent to which, horizontal cooperation can bring synergy in different situations. 

Horizontal collaboration is an effective tool for business management to improve the competitiveness of the organization. It also fills the gap between the company's existing resources and future requirements. It also increases the competitiveness of organizations by providing external resources to them through creating synergy, promoting learning, and rapid change. Social implications: Holdings create synergies by establishing cooperation between their subsidiaries. The result will be higher production quality and more cost-effectiveness, which will lead to customer satisfaction.  

There are a variety of ways for determining a business partner, including game theory and clustering. While in several studies, cooperation among several factories through game theory negotiations has led to relative efficiency, decisions have been made based on a short-term perspective. Therefore, such cooperation may be unstable. The desired time horizon is long-term in clustering. Hence, the designated partners can consistently continue their cooperation in the long run.

According to the dynamism and complexity of today's business environment, the importance of applying entrepreneurial thinking and actions and creating entrepreneurial organizations is evident. Nowadays, organizations have particular considerations to corporate entrepreneurship due to its role in gaining sustainable competitive advantage through innovation, risk taking and strategic renewal of organizations. With regard to the fact that providing conditions for implementation of extra dimensions has attracted the attention of many researchers, the purpose of this study was with a comprehensive approach to identify and prioritize the factors affecting corporate entrepreneurship in food industries. CE can identify and develop value creation opportunities in the food industry. The first statistical population of this research consisted of 714 participants including executives, professionals and entrepreneurial organizationexperts in the food industries of Behrouz, Zamzam, Pak, Golestan, Mohsen, which have been selected as sample in random, according to Cochran Formula 250. The second statistical population was selected within 16 experts and professors of entrepreneurship management in universities to prioritize the factors. The research is applicable in aim, and descriptive-correlative in conduction. The Structural Equation Modeling and Fuzzy Hierarchy Analyze process techniques were used to analyze information. The results show that the four organizational, individual, strategic and environmental factors have positive effects on corporate entrepreneurship in entrepreneurial companies in the food industry and the fact that organizational factors are more important in this regard.

The present study identified the structural requirements for auditing educational and research processes in universities. The problem posed in this research is the lack of specific and appropriate structural dimensions for educational and research auditing. The study is descriptive and used the exploratory method. Questionnaires were used to collect data. Data analysis revealed that formalization elements, formation of an official division of specialized professional staff, an organizational chart and activities organized using a horizontal complexity approach are structural requirements for auditing the educational and research processes.

The financing plan of subsidiaries for reducing cost of capital is one of the main concerns of multi-business enterprise's managers. Internal capital markets and debts financing through banks are two main methods of financing the operations in the holding companies. The efficient use of internal capital market also represents the realization of financial synergy. In this study, after determining the interdependences between the criteria affecting the choice of the financing methods using DEMATEL technique, the analytic network process (ANP) was used to prioritize the criteria and financing methods. Finally, the linear goal programming was utilized to design an effective mechanism for quantifying the optimal use of each of these alternatives besides considering the policies and operational constraints of holding in one of multi-business firms listed in the Tehran Stock Exchange. After solving the model using LINGO software, the results indicated its high effect on reducing the weighted average cost of capital (WACC) and increasing the use of internal relationships network in financing plan. This model, for the first time, solved financing plan problem in multi business enterprises and it could be extended.

Deciding about portfolio selection and composition are the main challenge of investment institutions. The nature of analysis and effective criteria in industry and company are different. They should rank the industry and companies options with regard to multiple and conflict criteria that they have different weights and priorities. This article seeks to provide two-stage approach for stock selection and portfolio composition. We enriched promethee (compensatory MCDM method) by weight of criteria. Then we used it in intended approach. The expert opinions and objective data used to criteria ranking. An ANP was used to determining weight of criteria that merge in promethee method. After designing we tried to validate our approach with real data. The results show we have 7% (simple mode) and 11% (enriched mode) return more than actual performance. Using of Porter five forces analysis for indentifying and verify industry criteria, to include some indices from corporate governance and technical analysis, weighting the criteria and integrate them in the promethee are our research novelty.

Organizations For promoting the quality and quantity of services, increasing competition, efficiency and reducing the Costs and changes lead the organizations to modern challenges must be developed and increased productivity human resource management factor, and information technology important in the increasing productivity human resource management factor, the present study was conducted to survey The effect of information technology acceptance on increase the productivity human resource management factor. This descriptive analytical study was carried out during autumn 2011-2012 on all members of   Province of Lorestan Gas Company, Private Joint Stock (218 participants). Data were collected using a standard questionnaire. Questionnaire rating was in the form of five-point Likert scale. Its validity was confirmed through content validity and professional comments and its reliability was established through the pretest-posttest done with 20 participants and with the Correlation coefficient of 0.9127 the data were analyzed using SPSS, software.Based on findings from multiple-variable regression 4 hypothesizes of research are accepted, Inclusive e) education with scantling +0.290, partnership with scantling +0.483, commitment with scantling +0.145, satisfaction with scantling +0.121) influenced on human resource productivity and and 3 others hypothesizes (salary and wage, Job Creativity, turnover Evaluation) in this article are not supported

Among the issues that have emerged today in our law enforcement and security agencies around, leaving administrators and experts, the testimony of some elite police and lack of access to knowledge and experience them. If today considering the complex conditions necessary for successful performance of the security forces, taking advantage of previous experience, not to repeat the mistakes is to find the recipe for success. Therefore, by documenting experiences, while increasing knowledge and organizational learning, using previous experience related to law enforcement, improve the performance of the force. Collection, documentation, distribution and effective use of organizational experience and expertise of law enforcement and other similar experiences and suitable model system is needed. The project provided a model for documenting the experiences of experts and elite police force that is based on the experiences of the people in it are automatically documented and stored.

One of the Desirable mechanisms for organizations in order to respond the ever-increasing environmental changes in the business environment both in a quick and appropriate way is building entrepreneur organizations. Entrepreneurial organizations provide the implementation of dimensions corporate entrepreneurship through institutionalizing entrepreneurship. The purpose of this study is identifying and prioritizing the Organizational Factors affecting the Implementation of Corporate Entrepreneurship Dimensions in Iranian Organizations, due to the fact that these days providing the required conditions aiming to implement entrepreneurship dimensions has increasingly attracted the attention of many researchers and additionally the significant role of organizational factors in this area has been remarkably considered. The first statistical population consists of 714 samples such as: executives, professionals and experts in some Iranian industrial food companies such as Bahrouz, Zamzam, pak, Golestan and Mohsen. Then 250 of them are randomly selected as our sample according to Cochran Formula. The second statistical population is selected within 16 experts and professors of Entrepreneurship management Universities to prioritizing the factors. So that the second statistical sample is determined by applying the census. The research is based on applied and conducted in the manner described - correlation. To analyze information, the Structural Equation Modeling and fuzzy analytic hierarchy process techniques is used. The results shows that components of organizational factors have a positive impact on institutionalize entrepreneurship in entrepreneurial companies in the food industries and institutionalize entrepreneurship in organizations have a positive impact on the implementation of corporate entrepreneurship dimensions.

This research tries to study the absorptive capacity and knowledge transfer concern and its influence on the performance of holding companies. The research is an applied one, using the correlation method. The population comprises executives and middle managers of TKHK-IKCO corporate headquarter and affiliated companies. The questionnaire is used to collect data. We used confirmatory factor analysis, structural equation modelling, path analysis and qualitative indicators of structural model for data analysis and hypothesis testing. The results indicate that the absorptive capacity has a significant and positive effect on knowledge transfer and performance, but knowledge transfer performance is faced with a deficit. The model outputs indicate good fitness of the model. Finally, recommendations for improving knowledge transfer performance are presented.

In today’s competitive environment, propen evaluation of firms’ performance, is an important issue not only for investors and creditors, but also for the firms that are in the same sector. Determining the competitiveness of the firms and evaluating the financial performance of them is also crucial for the sector’s development. The aim of this study is evaluating performance of brokerage firms in Tehran Stock Exchange. Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) methods integrated in this study and used for evaluating performance of brokerage firms of Tehran Stock Exchange. Present study uses 5 factors and 19 sub-factors in evaluating process of brokerage firms. 39 firms were selected from active brokerage firms that their financial statements were available, and then they were evaluated and ranked. FAHP method is used in determining the weights of the criteria by decision makers and then rankings of the firms were determined by TOPSIS method.

Nowadays risk management is as vital as receiving the maximum return. Therefore researches on risk management area and its models are very useful for the investors. This research is relied on finding the portfolio's optimal weights with the aim of minimum risk by using a local (fmincon function) and global optimization (simulated annealing) algorithms based on three risk management models; Markowitz, Value at Risk (VaR) and Conditional Value at Risk (CVaR) in various levels of return, and consequently drawing and comparing of the three mentioned model's efficient frontiers. With this target we used TEDPIX index data from the Tehran Exchange Stock from 1997 to 2008 (11 years) and based on parametric approach (normal distribution of loss and profit); we have built three nonlinear programming models. These models have been optimized by two independent optimization algorithms and finally it was concluded that with parametric assumption all three models have the same results and there is no difference in using them. Also it was concluded that beside the local optimization algorithms, the investors use the global optimization models. Although the local optimization algorithms are recommended for optimizing in a short time.