Roshd-e-Fanavari
Year:2019 | Volume:15 | Issue:60 |Papers Count:7

Today'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.

Implementing 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 cost 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.

This research studies the effectiveness of the contractual and relational role of government in achieving strategic innovation through outsourcing of information technology. 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 and the standard questionnaire of Usheri, Katlarsky and Gurbasi 2015. 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. To analyze the data, descriptive and inferential tests were used. In this research, two hypotheses were used that the results of the first hypothesis between the quality of customer-supplier relationships and the probability of achieving strategic innovation have a positive and significant relationship. In the second hypothesis, the independent contract (fixed price, time and materials, or joint venture By sharing profits) and each set of customer contracts (that is, a combination of different types of contract with one or more suppliers) affects the quality of customer-supplier relationships with the probability of achieving strategic innovation.

The advent of information and communication technology (ICT) and the use of these advances by human societies has a duality in consumption of one of the most important energy carriers (electricity). The use of information and communication technology has two effects. 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 relative strength 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 2015-1994 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 power consumption, while there is a one-way causality relationship between information and communication technology and electricity consumption and economic growth.

Today, 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 seem necessary. Therefore, the present research aims to investigate the determinant of dimensions of organizational structure on readiness of Universities to become the University with the entrepreneurial Features in the manager of Ferdowsi University of Mashhad. According to Morgan table, 114 sample were randomly selected. Face validity were examined with point of view of a number of professors in the Department of Management of Ferdowsi University and construct validity were examined 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 structure of organization are determinant factors effecting on the readiness of 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 factors effecting on the readiness of Ferdowsi University of Mashhad to become the University with the entre preneurial Features.

Cloud computing is recognized as a fascinating growing technology among companies around the world. While there can be great benefits for the HR department in small and medium-sized enterprises, the use of it can also include several challenges. The present study focuses on the review of the literature of cloud computing and the review of previous research on the role of cloud computing technology, its applications, its advantages and challenges in small and medium enterprises, and especially in HR systems for cloud computing. Has been reviewed. Based on the findings of this study, cloud computing applications are widespread in human resource management systems in small and medium enterprises. This technology can be used to target talent and attract talent, train and develop human resources, service compensation management systems, and evaluate HR practices. Also, the advantages and challenges of this technology in the management of human resources of small and medium enterprises are presented in two general categories including internal and external factors. Internal benefits and challenges include technical, security, human resources, and financial factors, and external factors include environmental and legal factors. Part of these advantages and challenges is due to the small and medium size of these companies and partly due to the conditions of HRM systems.

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 provides many opportunities when problems are resolved correctly. Data processing technologies are not suitable for dealing with large quantities of generated data. Suggested frameworks for big data applications help to store, analyze and process data. In this study, using library and documentary studies, 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 and challenges 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. 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.