درخت حوزه‌های تخصصی

The introduction of cloud computing techniques revolutionized the current of information processing and storing. Cloud computing as a competitive edge provides easy and automated access to the vast ocean of resources through standard network mechanisms to businesses and organizations. Due to the vast diversity of service providers and their respective variety of available services with different qualities, top managements often face difficulty for choosing the best available option. So, considering the growing significance of the mentioned issue, this study aims to identify and rank contributing factors in selection of cloud service providers. In that attempt, this research approaches its goal by going through three major phases. Firstly, in phase one, prior studies are reviewed for extracting related elements of selection. Secondly, by employing Fuzzy Delphi method and obtaining results by interviewing experts in this field such as IT managers and technicians, this study tries to finalize the list of contributing factors. Lastly, by utilizing Fuzzy best-worst multi-criteria decision-making method, which is one of the most recent techniques employed to statistically rank variables, this research introduces a list of vital factors for cloud service selection. Based on the findings of this study, there are five major categories involved in the selection process which are: performance, security, data management, personal data protection and environmental-organizational. The finalized result of ranking shows that, performance related factors such as accessibility, response time and capacity are the first priority. The runner-up is security with reliability and governance. Environmental-organizational variables lands in the third place by considering rental and network costs.

Organizational risk is often defined as a change in the flow of profit, or as a sys-tematic or non-systematic changes in the stock return flow. The risk taking of management is conceptualized as the actual investment decisions that are indictors due to uncertainty results. The purpose of this study is to investigate the effect of financial characteristics on future corporate risk taking behavior. After designing the indicators for assessing financial characteristics, the transaction data were collected from the Stock Exchange in the five-year period of 2011-2015. A sample of 111 companies was selected by sampling method based on the Cochran formula, which resulted in a total of 555 year-firm observations. In this study, linear regression and correlation were used to investigate the hypothesis, and for analyzing data and hypothesis testing, we used Eviews software. What can be said in the summing-up and conclusion of the general test of research hypotheses is that the disproportionate changes in sales costs, advertising costs, rental costs, liquidity, financial leverage, and disproportionate changes in capital costs have a positive impact on future corporate risk taking behavior. In addition, other results indicate a negative impact of disproportionate changes in sales growth, inventory, liquidity, and asset turnover on future corporate risk-taking behavior. The results obtained in this paper are consistent with the documentation referenced in the research's theoretical framework and financial literature..

Purpose: The aim of this study is to model a citizenship education curriculum for students with special needs for digital citizenship education.Method: The qualitative methodology of the grounded theory approach has been used. The statistical population is experts and specialists in special curriculum planning and experts of exceptional organizations. Sampling was performed using the non-probabilistic judgmental (targeted) method. Interviews were conducted with research samples. To sample, the snowball method was used and the interview was conducted in a semi-structured manner with open and general questions for up to 15 people to saturate the data, but for more assurance, up to 24 people were interviewed. Finally, the factors were identified using the foundation data technique using Atlas ti software. An in-depth interview was used as the main data collection tool at this stage.Findings: Based on the obtained results, a total of 106 concepts and 21 categories or open-source codes were identified and extracted. The 21 identified categories were divided into 6 main datasets of the foundation.Among the identified factors, the axial coding paradigm was performed and based on that, the linear relationship was determined between research categories including causal conditions, axial categories, contextual conditions, intervening conditions, strategies, and consequences.Conclusion: The results show the importance of the content of citizenship education and training methods. Regarding teaching and learning methods, the formation of informal groups and monitoring of the activities of groups, learning in practice, and student-centered and participatory teaching methods are emphasized.