Analysis of Cloud Computing Usage on Performance: The Case of Turkish SMEs

Kaplancali, Ugur; Akyol, Murat

doi:10.3390/proceedings2021074011

Cited by 3 publications

(4 citation statements)

References 11 publications

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“…SMEs do perceive CCA as a chance to improve their performance . A previous study by Kaplancalı and Akyol (2021) also confirms that CCA significantly and positively affects SMEs' performance in a developing country. Consequently:…”

Section: Cloud Computing Adoption and Smes' Performancesupporting

confidence: 63%

“…Corresponding to earlier publications (Kaplancalı and Akyol, 2021), the research reveals that CCA significantly affects SMEs' performance for cloud-based operations. The result is not surprising as companies switch to the cloud to reduce costs and increase operation.…”

Section: Cca and Smes' Performancesupporting

confidence: 62%

“…Besides, previous works have confirmed the significant association between technology adoptions and company performance but studies focusing on the impact of CCA on the SMEs' performance remain scarce (Kaplancalı and Akyol, 2021). Therefore, based on the arguments above, the purpose of this study is to fill these literature gaps by examining the influential determinants of CCA among SMEs and analyze whether CCA significantly affects SMEs' performance.…”

Section: Introductionmentioning

confidence: 97%

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The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

Mousa,

Zhang,

Sumarliah

et al. 2024

International Journal of Intelligent Information Technologies

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This study seeks to identify the driving factors of cloud computing adoption (CCA) among SMEs, and examines the extent to which CCA shape SME performance. Data was gathered from 212 Halal SMEs in Palestine. This study uses a two-phase investigative method to test the research model through integrating structural equation modeling (SEM) and machine learning. SEM findings show that perceived benefit, facilitating states, server location, perceived cost, upper management support, perceived quality, and cloud providers' support significantly affect CCA. Besides, the article verifies that CCA positively shapes SMEs' performance. Machine learning findings unravel perceived benefit as the strongest determinant of CCA. This study is an initial attempt to develop a conceptual framework that hypothesizes the links between technological-organizational-environmental (TOE) factors and SMEs' intent for CCA in Palestine and provides empirical evidence regarding these links.

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Section: Cloud Computing Adoption and Smes' Performancesupporting

confidence: 63%

Section: Cca and Smes' Performancesupporting

confidence: 62%

Section: Introductionmentioning

confidence: 97%

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The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

Mousa,

Zhang,

Sumarliah

et al. 2024

International Journal of Intelligent Information Technologies

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“…Finally, the challenges that big data technologies currently face are presented. Cloud computing in big data solutions is an attractive topic that receives special attention in the literature [14,15]. A survey on big data and cloud computing is distributed big-data architecture, in which some of the processing is placed in fog closer to data sources and consumers to reduce the latency.…”

Section: Related Workmentioning

confidence: 99%

Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks

2022

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Large telecom-service-provider networks are typically based on complex communications infrastructures comprising millions of network devices. The performance monitoring of such networks is a very demanding and challenging task. A large amount of data is collected and processed during performance monitoring to obtain information that gives insights into the current network performance. Using the obtained information, providers can efficiently detect, locate, and troubleshoot weak spots in the network and improve the overall network performance. Furthermore, the extracted information can be used for planning future network expansions and to support the determination of business-strategy decisions. However, traditional methods for processing and storing data are not applicable because of the enormous amount of collected data. Thus, big-data technologies must be used. In this paper, a big-data platform for the performance monitoring of telecom-service-provider networks is proposed. The proposed platform is capable of collecting, storing, and processing data from millions of devices. Typical challenges and problems in the development and deployment process of the platform, as well as the solutions to overcome them, are presented. The proposed platform is adjusted to HFC (Hybrid Fiber-Coaxial) network and currently operates in the real HFC network, comprising millions of users and devices.

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A Critical Review of Cloud Computing Environment for Big Data Analytics

Dzulhikam

Rana

2022

2022 International Conference on Decision Aid Sciences and Applications (DASA)

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Analysis of Cloud Computing Usage on Performance: The Case of Turkish SMEs

Cited by 3 publications

References 11 publications

The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

The Impact of Cloud Computing Adoption on Firm Performance Among SMEs in Palestine

Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks

A Critical Review of Cloud Computing Environment for Big Data Analytics

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