Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors

Many factors influence the adoption of cloud computing. Organizations must systematically evaluate these factors before deciding to adopt cloud-based solutions. To assess the determinants that influence the adoption of cloud computing, we develop a research model based on the innovation characterist...

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Veröffentlicht in:Information & management Jg. 51; H. 5; S. 497 - 510
Hauptverfasser: Oliveira, Tiago, Thomas, Manoj, Espadanal, Mariana
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier B.V 01.07.2014
Elsevier
Elsevier Sequoia S.A
Schlagworte:
Applied sciences
Cloud computing
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Diffusion of innovation (DOI)
Exact sciences and technology
Firm modelling
IT adoption
Manufacturers
Operational research and scientific management
Operational research. Management science
Organization theory
Service industries
Software
Studies
Technology adoption
Technology-organization-environment (TOE)
Portugal
Cloud computing
Diffusion of innovation (DOI)
Technology-organization-environment (TOE)
IT adoption
Innovation
Service industries
Organizational models
Technology
Tertiary activities
Modeling
Data gathering
ISSN:0378-7206, 1872-7530
Online-Zugang:Volltext
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Zusammenfassung:Many factors influence the adoption of cloud computing. Organizations must systematically evaluate these factors before deciding to adopt cloud-based solutions. To assess the determinants that influence the adoption of cloud computing, we develop a research model based on the innovation characteristics from the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework. Data collected from 369 firms in Portugal are used to test the related hypotheses. The study also investigates the determinants of cloud-computing adoption in the manufacturing and services sectors.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0378-7206
1872-7530
DOI:10.1016/j.im.2014.03.006