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Has files: falseSubject: Cloud Computing

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    Conference Object
    Citation - Scopus: 2
    Big Data on Cloud for Government Agencies: Benefits, Challenges, and Solutions
    (Assoc Computing Machinery, 2018) Rashed, Alaa Hussain; Karakaya, Ziya; Yazici, Ali
    Big Data and Cloud computing are the most important technologies that give the opportunity for government agencies to gain a competitive advantage and improve their organizations. On one hand, Big Data implementation requires investing a significant amount of money in hardware, software, and workforce. On the other hand, Cloud Computing offers an unlimited, scalable and on-demand pool of resources which provide the ability to adopt Big Data technology without wasting on the financial resources of the organization and make the implementation of Big Data faster and easier. The aim of this study is to conduct a systematic literature review in order to collect data to identify the benefits and challenges of Big Data on Cloud for government agencies and to make a clear understanding of how combining Big Data and Cloud Computing help to overcome some of these challenges. The last objective of this study is to identify the solutions for related challenges of Big Data. Four research questions were designed to determine the information that is related to the objectives of this study. Data is collected using literature review method and the results are deduced from there.
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    Article
    Citation - WoS: 2
    A Generic, Cloud-Based Representation for Supply Chains (sc's)
    (Igi Global, 2013) Akyuz, Goknur Arzu; Rehan, Mohammad
    As a very recent IT paradigm, Cloud Computing is gaining momentum and receiving more and more interest in literature. With various characteristics such as offering flexibility, cost reductions, platform independence and on-demand service, cloud approach opens up tremendous opportunities from Supply Chain (SC) perspective. However, extant literature reveals that adoption and assimilation of the technology is not mature in SC domain and cloud-based modelling initiatives are only recent. To fill this gap, this study discusses the opportunities of cloud computing from SC perspective and proposes a generic representation based on cloud philosophy. The proposed representation is conceptual, flexible and customizable, utilizing and highlighting the cloud benefits in a multi-partner setting. Therefore, this article is an answer to the research questions: "what are the opportunities of cloud philosophy for SC domain?" and "how can supply chains be represented generically based on cloud technology in multi-actor environment?". Contribution of this study lies in comprehensive treatment of cloud computing and supply chain intersection as well as the generic representation.
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    Article
    STUDY ON CLOUD COMPUTING PERCEPTION OF TURKISH IT SECTOR
    (Univ Osijek, Tech Fac, 2016) Okan, Aylin Akca; Hacaloglu, Tuna; Yazici, Ali
    In this paper an empirical study was carried out to study the Cloud Computing (CC) perception in Turkey. To this extent this study intends to determine the perception of Information Technology decision makers such as Chief Executive Officers and Chief Information Officers by means of a survey by questionnaire approach to explore 98 both public and private IT executives' understandings and concerns about CC. The survey aims to determine how CC is perceived by public or private organizations that are already involved in the e-transformation process. Major results of the study are as follows: both public and private sector executives have positive perception over adoption of CC, participants think that especially web, e-mail, data storage and process management applications are adequate for CC. Lack of well-educated and experienced staff is found to be the common barrier on adopting CC by both public and private sector participants.
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    Article
    Citation - WoS: 2
    A Generic, Multi-Period and Multi-Partner Cost Optimizing Model for Cloud-Based Supply Chain
    (Igi Global, 2016) Akyuz, Goknur Arzu; Rehan, Mohammad
    Cloud technology in a multi-enterprise, collaborative context is one of the most promising topics at IT-Supply Chain (SC) intersection. Cloud comes with well-proven advantages and cost savings; enabling collaboration and business intelligence. Cloud transition is still on-going with individual enterprise-level transitions. However, collaborative paradigm dictates that entire network well-being is to be considered over enterprise-level concerns. Thus, handling the transition of a single enterprise is not sufficient for strategic network leverage. Planning and managing across multiple enterprises is required, taking into consideration various cost items and budget constraints. In this study, a multi-period multi-partner cost-optimizing model is developed for network-level management of cloud transition for a SC. The model produces an optimal transition plan, indicating timing of the transition for each partner to obtain the maximum cost savings across network over a specified planning horizon. The model proposed is generic, flexible and customizable for different sectors/settings.