Interactions between smaller companies in order to share capabilities and weaknesses coverage are very common in holding companies. Although holding value creation by creating synergies among subsidiaries, easy looks but unpleasant practical experiences show that in some organizations the lack of precise identification of opportunities for synergies between the companies, leading to the establishment of relationships between companies that are not only useful, but it can lead to major problems. Accordingly, the main objective of this paper is to provide a fuzzy system is to explore opportunities for synergy in holding, so that the potential opportunities and synergies between related companies specified and the organization existing information system must be developed. Therefore, based on the possible links between the activities and manageability of these relations in associated companies of holding, fuzzy matrix of exploration opportunities for synergy designed and the position of all the subsidiaries to be determined in the matrix. Finally, according to the points earned by firms in synergy matrix, identifying opportunities and improve the synergy between the companies and the managers will be announced.

Under an intensive competitive environment, the construction industry is facing pressure to meet the higher customer expectations under a tighter budget. On the other hand, construction is one of the main sectors generating greenhouse gases. According to published statistics, construction industry is one of the most important resources of greenhouse emissions in the world. Therefore, based on the growing attention to the environment situation and according to the enabler capabilities of the decision support systems, in this paper, a genetic algorithm-based decision support system for solving a trade-off problem between the cost and the amount of CO2 emissions in construction projects is proposed. The genetic algorithm proposing here, is the new algorithm, named “imitate genetic algorithm”. For showing the reliability of the proposed algorithm, the results of its application have been compared with the results of classic genetic algorithm for 108 problems with different sizes. The results show the excellence of the proposed algorithm in comparison with classic genetic algorithm.

Many documents in the field of e-government services in Iran have been developed and recently approved, but these documents were ignored future trends and scenarios. The aim of research is developing futures scenario of e-government services by 1404. In this study, using the global network business and success factors, the important uncertainties are identified by expert’s opinions. Population is of 50 Iranian e-government experts and futurists. The current research is the compound research. Using questionnaires and analysis of documents and expert panel, the required data are gathered. Validity of the questionnaire assessed using the panel of experts and the Cronbach's alpha was used for validation. With determination of three uncertainty composed of trust, interoperability and world trade market entry according to the expert's views as the main scenario, eight scenarios were extracted. Then, with the help of experts, four scenario with higher degree of feasibility were selected which allows policymakers to deal with the best possible of future situation.

Outsourcing IT functions is being developed as a replacement for implementing IT projects or rendering IT services within organizations. Organizations’ past experiences in outsourcing indicate that this process poses variety of risks and problems. This study is aimed to identify and prioritize the risks of outsourcing IT infrastructure projects. Classifying risks of outsourcing along with incorporating thematic experts’ experiences through the Delphi method, reveals various risks associated with the employer and the contractor as the primary sources of risks as well as general risks and chronological risks which occur in the periods before, during and after contracts. A total of 22 main risks were identified and categorized. Afterwards, based on the opinions obtained from thematic experts and using the Analytic Hierarchy Process, different types of risks were prioritized. The results suggest that those risks arising due to failings of structure and content are more important than those of technical and contextual knowledge.

The main goal of research is designing an adaptive nuero-fuzzy inference system for evaluating the implementation of business intelligence systems in software industry. Iranian software development organizations have been facing a lot of problems in case of implementing business intelligence systems. This system would be helpful in recognizing the conditions and prerequisites of success or failure. Organizations can recalculate the neuro-fuzzy system outputs with some considerations on various inputs to figure out which inputs have the most effect on the implementation outputs. By resolving the problems on inputs, organizations can achieve a better level of implementation success. The designed system has been trained by a data set and afterwards, it has been evaluated. The trained system has reached the error value of 0.08. Eventually, some recommendations have been provided for software development firms on the areas that might need more considerations and improvements.

The benefits of Enterprise Systems (ES) are very varied and have been studied by scientists in this field over the years. But one aspect that is less noticed is the benefit result of the ES implementation in the procurement process, which is very important to the contractor companies. The main objective and the purpose of this research is to address this important issue. Other objective of the study is to find out the main reason for accepting ES and to provide a benefit evaluation framework using the balanced scorecard framework. This article seeks to provide a framework using a full review of the literature, and the proposed framework will be assessed in the contractor company projects through action research strategy and finally the benefit of the implementation will be offered. Except of localized definition of ES benefits framework and assessment of the benefits, the findings of present study includes the mixed research methodology with two positivism and interpretativism approaches through two full cycles of action research.

In this research by applying the theoretical framework of socio-technical systems and literature review using the form of e-government has been identified as a core component. To realize the model results and the results indicated that each of the six components of e-government in 1404 particularly in the areas of communication and access to digital content. Based on the results of the highest priority among the components of e-government development infrastructure is owned by the component, based on interviews with managers and theme analysis performed on each component of the realization of e-government development has been proposed.

Nowadays, many of organizations, who are involved in enterprise architecting, make their own architecture framework or customize existing frameworks. These endeavors are based on the knowledge and the experience of each organization, and there is no defined method for developing the enterprise architecture framework. Therefore, a method for developing architecture framework is presented in this qualitative research. For this reason, 15 versions of 5 most used architecture frameworks are analyzed based on the interpretive phenomenology. Based on this analysis, a method for developing architecture frameworks is introduced which contains 8 disciplines and 6 phases. Analyzing the qualitative data of the research and also the validation of the research are carried out using the guidelines of Van Manen in the interpretive phenomenology.

Most organizations need to information systems to survive and thrive. Therefore, they should seriously protect their information assets. Creating structured and justifiable exchanges between cost, security and mission control systems security risks is essential. This is important in the planning and development of such systems. Initial appropriate decisions can reduce costs and increase ease of control risk. The first step in the risk management process is the identification of risk. The purpose of this study is identifying the most important enterprise information security risks. This study is application and view research method is descriptive. In this study, a model is presented to identify information security risks, according to ISO 27002 and cobit 4 and study the documents and using by fuzzy Delphi method and opinions of experts, which include 10 of the IT professionals of the Bank, have been presented. In this template 6 factors and 20 subfactors of information security risk factors have been identified for the Bank.

This research estimates the monetary value of internet information for each type of information and services by using Hedonic pricing method. The statistic social of this research is high-speed internet users in Tehran. Based on the results, high speed internet users of Tehran consider a positive monetary value for some information types in the internet, in descendent respect, such as film downloading, gaming, News, social network, and music. Also, the results indicates that people with higher education level and people who are subscribed to high speed internet earlier than other people consider more monetary value to use the internet. For generalizing the result of this research, it’s suggested to do this research at other cities of Iran. At last, some applicable suggestions made.

Leadership style and organizational climate are considered as a substructure framework in successful performance of knowledge management. The purpose of this research is investigating both the effect of leadership style and organizational climate on knowledge management and the moderate role of organization structure and social interaction in affecting leadership style and organizational climate on knowledge management. This study has been done as a sample of 210 main employers of Tehran Mellat bank office. The descriptive- survey research is management type and used tool is questionnaire. We used modeling method of structural equations by Lisrel software data analysis. Research findings show leadership style doesn’t effect on knowledge management positively but organization climate has a positive effect on knowledge management. On other word, leadership style has a positive effect on organization structure and its own has a positive effect on social interaction. But, in this research, moderate variable couldn’t play an easy role in affecting leadership style over knowledge management.