List of Articles
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Open Access Article
1 - Designing a Model for the Realization of Economic Complexity, Based on the Meta-Analysis of Scientific Research
azadeh leili Mina RanjbarfardImplementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part MoreImplementing Business Intelligence Systems (BI) requires a lot of resources and time. The statistics show that billions of dollars are spent on these business intelligence systems (BIS), which show how important they are. Also, the cost of these systems is a large part of the expense of the organization. Unfortunately, with all these huge costs in these systems, more than half of the BI projects do not go to the real benefits of business intelligence systems. Here's one reason why organizations are not able to grasp the real benefits of business intelligence systems: Many of them are not ready for these systems. This is due to some of the challenges in implementing BI systems in organizations. BI implementation experiences show that the successful implementation of BI is beyond the implementation of technical infrastructure (hardware aspects) and requires the control of soft aspects and change management, which are recognized as the most difficult aspects of the successful implementation of BI applications. Business intelligence is a complex concept and has multi-layered architecture, which is why the BI readiness model is needed. Assessing BI readiness identifies specific implementation risk sections to manage and reduce these risks and thus increase the likelihood of BI success. So far, several models have been developed to prepare BI systems. In this paper, introduced models for BI readiness are presented, and then these models are compared based on the factors influencing BI readiness. Manuscript profile -
Open Access Article
2 - Investigating the Determinant of Organization Structure Dimensions on the Readiness of Universities to become the University with the Entrepreneurial Features (Case Studi: Ferdowsi University of Mashhad)
fereshte sadeghi yaghoob maharati alireza khorakianToday, government agencies, including universities, are confronted with problems for entrepreneurship. But these organizations have a special potential for entrepreneurship that can be achieved by providing the necessary fields for optimal results in this field. To prov MoreToday, government agencies, including universities, are confronted with problems for entrepreneurship. But these organizations have a special potential for entrepreneurship that can be achieved by providing the necessary fields for optimal results in this field. To provide these areas, fundamental changes in the structure of these organizations are necessary. Therefore, the present research aims to investigate the determinant of organization structure dimensions on readiness of Universities to become the University with the entrepreneurial Features. In the Ferdowsi University of Mashhad. According to Morgan table, 114 sample were randomly selected. Validity was examined with point of view of a number of professors in the Department of Management of Ferdowsi University through factor analysis and Cronbach' s alpha coefficient was used to measure reliability. Data analysis was performed using SPSS software. The results showed that In terms of managers all dimension of organization structure are determinant factors effecting on the readiness of the Ferdowsi University of Mashhad to become the University with the entrepreneurial Features. In addition, it was shown that among the dimensions of organizational structure, Formalism is the highest determinant factor effecting on the readiness of Ferdowsi University to become the University with the entre preneurial Features. Manuscript profile -
Open Access Article
3 - Evaluating the Effectiveness of the Contractual and Relational Role of the Government in Achieving Strategic Innovation through Outsourcing Information Technology
hossein shabani Reza EhteshamrasiIn this paper the effectiveness of the contractual and relational role of governmental in achieving strategic innovation through outsourcing of information technology (IT) has been studied. The main purpose of this research is to examine the quality of customer-supplier MoreIn this paper the effectiveness of the contractual and relational role of governmental in achieving strategic innovation through outsourcing of information technology (IT) has been studied. The main purpose of this research is to examine the quality of customer-supplier relationships and the probability of achieving strategic innovation. The research method is descriptive (non-experimental) and correlation research is a type of path analysis. The statistical population of this research is all employees of Qazvin Azad University. According to the size of the statistical population, Morgan table has been used to determine the sample size. 317 employees in Qazvin were selected as research sample. Data gathering was done through library and field surveys by standard questionnaire. The validity of the questionnaire has been used through content validity method. Cronbach's alpha coefficient was calculated for a scale of more than 0.7. The reliability of this desirable scale was evaluated by content reliabality. The results show that both hypotheses have been accepted, indicating that there is a significant relationship between the quality of customer-supplier relationship and strategic innovation with regard to the mediating role of the contractor and the relationship between the governments. Manuscript profile -
Open Access Article
4 - Effect of ICT on Electricity Consumption in Selected Developing Countries
mousa khoshkalamThe advent of information and communication technology (ICT) and the use of these advances by human societies has duality effects on electrical energy consumption. First, the use of information and communication technology has led to the replacement of new technologies MoreThe advent of information and communication technology (ICT) and the use of these advances by human societies has duality effects on electrical energy consumption. First, the use of information and communication technology has led to the replacement of new technologies with old technologies and thus improves the efficiency of electricity consumption and, consequently, reduces their consumption (substitution effect). Second, installation, commissioning and operation of new information and communication technology equipment will increase demand for electricity (income effect). Therefore, the overall effect of information and communication technology on electricity consumption is a function of one of the effects. Accordingly, in this paper, the relationship between the use of information and communication technology and electricity consumption in a group of selected developing countries during the period of 1994-2015 was studied. For this purpose, the dynamic panel model with the PMG approach was used. The results presented in two separate models show that increasing the use of information and communication technology will increase per capita consumption of electricity energy in both short and long term in selected developing countries. Also, the results show that in selected developing countries, economic growth is the cause of electricity consumption, while there is a one-way causality relationship between information and communication technology and electricity consumption and economic growth. Manuscript profile -
Open Access Article
5 - Determine Eligibility Criteria and Evaluate the Qualitative Dimension of Mentors in Knowledge Enterprises in Isfahan Province's Scientific and Research Community
Mahdieh mahdikhani Morteza rasti bozorkiToday's organizations operate in a completely challengeable and complex environment. Moreover, they are constantly trying to adopt new approaches to the development, preservation and maintenance of human resources as the most important organizational capital in order to MoreToday's organizations operate in a completely challengeable and complex environment. Moreover, they are constantly trying to adopt new approaches to the development, preservation and maintenance of human resources as the most important organizational capital in order to remain competitive. Mentoring is the art of facilitating the implementation of activities, the process of learning and personal development. In other words, mentoring can be defined as a technique which provides a new approach for organizations in order to conduct human resource in a conventional manner to attain the organization’s goal. The purpose of this study is to investigate the mentoring approach and to evaluate the qualitative dimension of mentors in Isfahan Province's scientific and research community. For evaluating the mentors, at first, the protocols related to the assessment and prioritization of values were given to the mentors in order to define the most important factors based on their responses. Based on their opinions and the most significant factors, a questionnaire was developed and the approach was conducted in a sample of 20 manufacturing-service companies in Isfahan. Validity and reliability of the questionnaire were verified. Descriptive statistics were used to analyze the data, and also the SPSS was used to perform statistical tests. The obtained results prove that the mentors have generally performed at a moderate and good level in the framework of the mentoring approach. According to the single-group t-test, most of the defined factors are convenient in mentors’ performance evaluation in a negligible difference. Manuscript profile -
Open Access Article
6 - Cloud Computing Technology in the Management of Human Resources for Small and Medium Enterprises - Applications, Advantages and Challenges
Mona Kardani malekinezhad Mohammad Mahdi FarahiIn recent years, the advent of cloud computing has brought significant advances in the IT industry, and business management. One of the most important advantages of this technology is its reduced cost and the ability to seamlessly manage resources without the need for c MoreIn recent years, the advent of cloud computing has brought significant advances in the IT industry, and business management. One of the most important advantages of this technology is its reduced cost and the ability to seamlessly manage resources without the need for costly deployment of multiple infrastructures and software, and is thus widely used in the deployment of management systems and systems in organizations. Cloud computing technology has also been widely used in human resource management systems. In many cases the implementation and deployment of multiple HRM systems and software, especially for small and medium-sized organizations, entails numerous costs. Cloud computing technology is a tool that allows organizations to form and manage management systems, including their own human resource management systems, in a seamless, low-cost cloud environment. The purpose of this study is to explore the applications, advantages and challenges of cloud computing technology in human resource management, and its implementation requirements especially in small and medium enterprises. The study was carried out through library method and literature review. And it has attempted to review how literature and the requirements of cloud computing are applied in human resource management by reviewing literature and research in this area. Based on the findings of this study, the applications of cloud computing in human resource management systems in SMEs are widespread. This technology can be used in talent recruitment, training and development of human resources, compensation management systems, and human resource management and evaluation. Also, the advantages and challenges of this technology in human resource management of small and medium-sized enterprises can be categorized into two general categories, including internal and external factors. Internal advantages and challenges include technical, security, human, and financial factors, and external factors include environmental and legal factors. The applications and advantages and challenges of this technology are described in detail in the HRM systems of SMEs. The findings of this study can serve as a basis for companies and organizations to manage small organizations using and utilizing cloud computing technology in human resource management systems. Manuscript profile -
Open Access Article
7 - Comparative Study, Applications and Challenges of Big Data Analysis Technologies
Yaser Ghasemi nejad Abbass Ketabchioday, receiving and sharing information is easier and cheaper than before, enabling organizations to handle large volumes of data at a high speed and variety in the name of big data. Big data technology provides many opportunities when problems are resolved correctly. D Moreoday, receiving and sharing information is easier and cheaper than before, enabling organizations to handle large volumes of data at a high speed and variety in the name of big data. Big data technology provides many opportunities when problems are resolved correctly. Data processing technologies in the past are not suitable for dealing with large quantities of generated data. While Suggested frameworks for big data applications help to store, analyze and process data. In this study, we first reviewed and summarized the big data definitions, and challenges of using it and then a number of important big data frameworks (Hadoop, Flink, Storm, Spark and Samza) have been studied and compared comparatively. The studied framework of big data is generally classified into two categories: (1) batch mode; and (2) stream mode. The Hadoop framework processes data in batch mode, while other frameworks allow stream or real time processing. Ultimately, the most important applications of using big data technology have been described. The most important applications for big data analysis are healthcare applications, advisory systems, smart cities and social networks analysis. Due to the growth of Internet-connected devices, social networking data is growing widely and requires more big data technology. Also, the most challenges of big data application, including confidentiality in storage systems, software deficiencies and the limitation of existing hardware and equipment, the need for large initial investment and the lack of technical skills and expert workforce. Manuscript profile