پذیرش رایانش ابری در سازمان ها
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پذیرش رایانش ابری در سازمان ها

عنوان فارسی مقاله: تصمیم گیری انتقادی در مورد پذیرش رایانش ابری در سازمان ها بر اساس تحلیل میدانی نیروی تقویت شده
عنوان انگلیسی مقاله: Critical Decision-Making on Cloud Computing Adoption in Organizations Based on Augmented Force Field Analysis
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: رایانش ابری
کلمات کلیدی فارسی: رایانش ابری، تصمیم گیری، تحلیل میدانی نیرو، مقایسه دو به دو، روش دلفی
کلمات کلیدی انگلیسی: Cloud computing, decision making, force field analysis (FFA), pairwise comparison, Delphi method
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2954415
دانشگاه: College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 11
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: بله
آیا این مقاله مدل مفهومی دارد: دارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14042
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. Essential Concepts


III. Literature Review


IV. Outline of the Proposed Approach


V. Driving and Restraining Forces


Authors


Figures


References

نمونه متن انگلیسی مقاله

Abstract


Cloud Computing (CC) has become an important milestone information technology that attracts many organizations. With the potential to transform business processes, lower IT expenses, and offer access to unlimited computing resources with minimal management effort, organizations look to cloudbased solutions to achieve business efficiencies. Thus, it would seem that these organizations could easily migrate to CC. However, enterprises are still concerned about moving their business-critical applications to the cloud. Among the reasons are that it is an emerging technology that has not reached a level of maturity; the lack of industry-specific conformity to standards; and a high level of security risks. As a result, there is a big dispute among organizations on the decision of whether it is more business-efficient to embark on the cloud or remain with their interior IT infrastructures. In this paper, we aim to solve this debate by proposing a novel approach that supports decision-making on CC adoption in organizations. Unlike traditional decisionmaking approaches that pay little or no consideration to organizational high-level business objectives, our proposed approach is driven by the business objectives of the organization. First, we identify driving and restraining forces that influence CC adoption in organizations. Second, a formal decision-making model is proposed based on Force Field Analysis (FFA) augmented by pairwise comparison and Delphi methods, this model estimates the values of the driving and restraining forces based on their impacts on the organization’s objectives. By analyzing the forces for and against CC adoption, organizations can decide whether or not to move forward with the adoption. Alternatively, organizations can use the analysis to think about how they can strengthen the forces that support the adoption and weaken the forces opposing it, so that the adoption is more successful. The proposed model is validated for usability and applicability through a use case scenario.


Introduction


Cloud Computing (CC) is an emerging technology that promises many benefits over conventional on-premises computing. It provides vast opportunities for organizations to have more flexible and easy-running business models [9]. As the strategic focus on flexibility, innovation, and economic gains increases, organizations can no longer ignore CC’s benefits. Recently, enterprises have shown increasing interest in the adoption of CC services to support critical business functions. According to Forbes, CC market is projected to reach $411B by 2020 [40]. A survey conducted by LogicMonitor revealed that 83% of enterprise workloads will be in the Cloud by 2020 [43]. CC offers for companies a wide variety of IT services at a low cost. With decreased costs and less effort required to invest in and maintain hardware, license new software, or train new personnel, enterprises have more time to focus on their core business activities. In addition, CC services offer features such as elasticity and scalability that enhance the agility required to carry out the necessary business changes in an innovative and competitive environment [5]. Although several benefits of CC are well known and documented, evidence suggests that not all companies are rushing to adopt cloud-based solutions [6]. As highlighted by Mindshift Technologies, Inc. [41] many small businesses are still setting on the fence contemplating whether to move to or not to move to CC [7]. The reluctance to adopt CC services in organizations is due to different concerns about this technology.

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