2018
DOI: 10.1166/asl.2018.11164
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A Model to Assess the Impacts of Cloud Computing Use on SME Performance: A Resource-Based View

Abstract: Web of Science [v.5.32]-Web of Science Core Collection Full Record apps.webofknowledge.com.ezproxy.um.edu.my/full_record.do?product=WOS&search_mode=GeneralSearch&qid=22&SID=C2cNDkkes4dPbeiXqmt&… 1/4

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Cited by 7 publications
(7 citation statements)
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“…Research studies have provided little insight on the post-adoption effects of cloud computing technology in the case of SMEs. Cloud computing technology fascinates SMEs because it is cost-effective (Hussin et al, 2018). Zhang et al (2021) explored cloud computing technology from the vendor's perspective.…”
Section: Adaption Of Cloud Computing In Small and Medium Enterprisesmentioning
confidence: 99%
See 1 more Smart Citation
“…Research studies have provided little insight on the post-adoption effects of cloud computing technology in the case of SMEs. Cloud computing technology fascinates SMEs because it is cost-effective (Hussin et al, 2018). Zhang et al (2021) explored cloud computing technology from the vendor's perspective.…”
Section: Adaption Of Cloud Computing In Small and Medium Enterprisesmentioning
confidence: 99%
“…The cost-effectiveness feature of cloud computing technology fascinates SMEs in adopting this technology. Numerous studies provided empirical evidence that cost reduction was the major benefit of cloud computing technology that increased SMEs' efficiency and sustainability (Hussin et al, 2018). Cloud computing is considered reliable, cost-effective and a source that minimizes the efforts and increases organizational efficiency.…”
Section: Cost Reduction In Cloud Computingmentioning
confidence: 99%
“…Selection of modeling index of solid mechanics is a key step in establishing a new parametric model. When using the center-difference equation to solve the solid-mechanical equations, the nonlinear convergence of the model itself can be used to improve the high degree of vectorization and parallelization of modeling index [11,12]. In general, the common solid mechanics modeling index includes four types, and the mutual constraints between them can be expressed as Figure 3.…”
Section: Selection Of Modeling Index Of Solid Mechanicsmentioning
confidence: 99%
“…Selection of modeling index of solid mechanics is a key step in establishing a new parametric model. When using the center-difference equation to solve the solid-mechanical equations, the nonlinear convergence of the model itself can be used to improve the high degree (7) G = of vectorization and parallelization of modeling index [11,12]. In general, the common solid mechanics modeling index includes four types, and the mutual constraints between them can be expressed as Fig.…”
Section: Selection Of Modeling Index Of Solid Mechanicsmentioning
confidence: 99%
“…In which, Q represents the parametric model constant for solid mechanics in the engineering research based on the cloud computing model, b represents the operational integrality factor of the model, z is normalized parameter, and w represents the upper limit of the lightweight level of the cloud data. (11)…”
Section: Parametric Optimization Algorithmmentioning
confidence: 99%