Prediction of Propensity for Enterprise Cloud Computing Adoption

Kyriakou, Niki; Μaragoudakis, Manolis; Loukis, Euripidis N.; Themistocleous, Marinos

doi:10.24251/hicss.2017.596

Cited by 7 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For internal adoption, the first internal factor is investment desire that explained by . second of the internal factor is top management that asserted by Alharbi et al (2016) and Kyriakou et al (2017). Firm size is the third internal factor that is expressed by Son, Lee, Lee, & Chang (2011).…”

Section: Cloud Computing Adoptionmentioning

confidence: 96%

“…Third of the external effects of cloud computing adoption is cloud providers stated by Cruzes (2015) and Singh & Randhawa (2015). Business partners in the fourth external effects that are mentioned by Bogataj Habjan & Pucihar (2017) and Kyriakou et al (2017). Competitors and cloud service brokers are the last that is mentioned by .…”

Section: Cloud Computing Adoptionmentioning

confidence: 98%

See 1 more Smart Citation

Critical Factors Affecting Cloud Computing Adoption in Turkish Companies With Diffusion of Innovation Theory

Sayginer¹,

Ercan²

2020

Pamukkale University Journal of Social Sciences Institute

View full text Add to dashboard Cite

Cloud computing provides an effective computing technology in the way IT services such as data storage, network, and application are supplied externally by companies without software and hardware, long implementations, and delayed maintenance to decrease operational expenditures. However, there is an inadequate amount of scholars studying the effects of cloud computing adoption among Turkish companies. In order to fill the gap, this study aims to exhibit the factors affecting cloud computing adoption in Turkish companies. Diffusion of innovation (DOI) theory was developed to understand the critical factors affecting cloud computing adoption, deriving three factors: perceived advantage, cost-saving, and compatibility. Confirmatory factor analysis was applied to assess data. The findings showed that compatibility directly affected cost-savings. Cost-savings directly affected perceived advantage, and perceived advantage directly affected cloud computing adoption. The variance of perceived advantage also explained 15.8% of the proposed model. By adopting DOI theory, this study will intend to contribute to businesses for increasing the awareness of companies' IT decision-makers about the perception of cloud computing adoption in the cloud computing decision making period in Turkey.

show abstract

Section: Cloud Computing Adoptionmentioning

confidence: 96%

Section: Cloud Computing Adoptionmentioning

confidence: 98%

Critical Factors Affecting Cloud Computing Adoption in Turkish Companies With Diffusion of Innovation Theory

Sayginer¹,

Ercan²

2020

Pamukkale University Journal of Social Sciences Institute

View full text Add to dashboard Cite

show abstract

“…Oliveira et al (2014) [23] found that top management support highly affects the adoption in the Portuguese service sector and companies; Alkhalil et al (2017) [47] reported that it highly affects the adoption in English SMEs; Deil & Brune (2017) [48] stated that top management support highly affects the adoption German SMEs. However, Oliveira et al [23,46,49,50] proved that top management support is not significantly important, in the Portuguese manufacturing sector, UK companies, ceramic and cement sectors in six European countries (Germany, France, Italy, Poland, Spain, and the UK) and Jordan companies. Top management support is more likely to affect the service sector declared by Oliveira et al (2014) and SMEs stated by Alkhalil et al (2017) [23,47].…”

Section: -2-implication and Explanation Of Findings And Comparison With Other Studiesmentioning

confidence: 99%

Multi-Perspective Decision-making Cloud Computing Adoption Model for Small and Medium Enterprises (SMEs)

Sayginer

Ercan²

2021

Emerg Sci J

View full text Add to dashboard Cite

The research aims to test the model of integrated DOI theory and TOE framework to predict Cloud Computing (CC) decision-making intentions of SMEs, Izmir, Turkey. The survey data was collected from 140 Information Technology (IT) decision-makers via Google forms survey tool. Confirmatory factor analyses were made to examine the decision-making approach of SMEs. The study revealed that the variance of top management support and complexity explained 29.8% of the decision-making approach to CC adoption. The originality of the study is that the research on cloud computing in Turkey is scarce and not comprehensive either. In addition, they are not for Turkish SMEs. This research will bring together an introductory plan for cloud providers to understand the intentions of SMEs for adopting cloud computing. This research will also provide scholars with an in-depth analysis of the status contributing to the academic research in the field of ICT development in developing countries. This study will contribute to SMEs’ ICT infrastructure policies, and support governments in creating a legal framework to make laws for a secure environment for SMEs to reduce costs, and gain a competitive advantage over Large Enterprises (LEs). Doi: 10.28991/esj-2021-SP1-010 Full Text: PDF

show abstract

“…Por además del método Delphi deben considerarse otros métodos alternativos, con menos ventajas, pero que pueden emplearse de acuerdo con los resultados esperados: grupos focales 19 , votación en listas cortas, reuniones virtuales para discusión abierta, tormenta de ideas, etc. Entre otros menos comunes, pero que pueden ser efectivos, se encuentran el proceso de jerarquía analítica 20 y los basados en algoritmos computacionales de predicción analítica 20,21 .…”

Section: Delphi En La Saludunclassified

Consenso experto en tiempos de COVID-19: aplicaciones del método Delphi en materia de salud

Martínez‐Ezquerro¹,

Ruiz-Cejudo²,

Bustamante-Fuentes³

et al. 2020

CIRU

View full text Add to dashboard Cite

comunicación. La solución para los problemas de salud puede ser asertiva cuando es consensuada. El método Delphi es una herramienta de consenso que emplea rondas de listas de preguntas para recopilar información del conocimiento de un panel de expertos que analizan planteamientos y posibles soluciones a problemas. Se basa en la premisa de que, con la libertad del anonimato, la inteligencia combinada mejora el juicio individual y captura la opinión colectiva experta. El proceso del método es muy flexible, pues las rondas de preguntas pueden realizarse de manera presencial o remota. En este artículo se describe cómo implementar el método Delphi convencional en tiempos de confinamiento, y se analizan la utilidad y las limitaciones del método para su uso por expertos en salud para la resolución de problemas de tratamiento, diagnóstico o administrativos. Las tecnologías actuales para recolectar los datos permiten gran flexibilidad en el formato de los cuestionarios y facilitan la recopilación de la opinión experta. Gracias a su adaptabilidad, el método Delphi se está convirtiendo en una estrategia popular que involucra los ámbitos cualitativo y cuantitativo.

show abstract

Prediction of Propensity for Enterprise Cloud Computing Adoption

Abstract: Cloud computing (CC)

Cited by 7 publications

References 19 publications

Critical Factors Affecting Cloud Computing Adoption in Turkish Companies With Diffusion of Innovation Theory

Critical Factors Affecting Cloud Computing Adoption in Turkish Companies With Diffusion of Innovation Theory

Multi-Perspective Decision-making Cloud Computing Adoption Model for Small and Medium Enterprises (SMEs)

Consenso experto en tiempos de COVID-19: aplicaciones del método Delphi en materia de salud

Contact Info

Product

Resources

About