چکیده:
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.
خلاصه ماشینی:
Identification and Prioritization of Factors Contributing in Cloud Service Selection Using Fuzzy Best-worst Method (FBWM) Ali Asghar Salarnezhad PhD Candidate, Department of Information Technology Management, Tehran North Branch, Islamic Azad University, Tehran, Iran.
So, considering the growing significance of the mentioned issue, this study aims to identify and rank contributing factors in selection of cloud service providers.
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.
In this study, to fill the mentioned gap in research literature, initially a systematic literature review covering a large number of researches in this area was employed to extract contributing factors in cloud service selection, then a panel of experts working in the field of cloud computing consisted of academics, IT managers, and IT technicians was utilized, and contributing factors through exploiting Fuzzy Delphi Method were evaluated and finalized, finally Fuzzy Best-Worst technique was employed which resulted in the list of the most significant variables in terms of cloud service selection and their respective importance toward each other.
Lastly, by utilizing Fuzzy best-worst multi-criteria decision-making method which is one of the most recent techniques employed to statistically rank variables (Section 302), this research attempts to present a capsulated list of vital factors for cloud service selection and they respective importance toward each other.
Based on the results of this research, performance, security, data management, personal data protection, and organization & environment are identified as the contributing factors in cloud service selection.