IDENTIFYING THE DETERMINANTS OF CLOUD COMPUTING ADOPTION IN A GOVERNMENT SECTOR – A CASE STUDY OF SAUDI ORGANISATION

Majed Alsanea; David Wainwright

Makale detayları

IDENTIFYING THE DETERMINANTS OF CLOUD COMPUTING ADOPTION IN A GOVERNMENT SECTOR – A CASE STUDY OF SAUDI ORGANISATION

Yazarlar:

Majed Alsanea | David Wainwright

Yayıncı:

Sosyal Bilimler Araştırmaları Derneği

Dergi:

International Journal of Business and Management Studies 2014 Vol.6 Issue 2, pp.29-43

Belge Tipi:

Makale

Yayın Tarihi:

11/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000809073

Sıklık:

İki Yıllık

eISSN:

1309-8047

Özet:

 

The adoption of Cloud Computing technology is an essential step forward within
 both the public and private sectors, particularly in the context of the current
 economic crisis. However, the trend is struggling for many reasons. The purpose
 of this study is to establish the foundations for the development of a framework to
 guide government organisations through the process of transferring to Cloud
 Computing technology. The main aim of this research is to evaluate the factors
 affecting the adoption of Cloud Computing in the government sector by
 conducting a multiple case study of Saudi government organisations, and to
 develop a Cloud Computing adoption framework. Investigating and identifying
 the main factors affecting the adoption of Cloud Computing is done by examining
 the literature and by conducting a mixed-method investigation. The most
 significant concerns are Service Quality, Usefulness, Security, Complexity, Cost,
 Organisation Size, IT Infrastructure Readiness, Senior Management Support,
 Feasibility, Trust, Organisation Culture, Organisation Structure, Privacy Risk,
 Direct Benefits, Indirect Benefits, Culture, External Pressure, Industry Type,
 Government Support, and Regulatory Concerns. This study will apply the TOE
 (Technology-Organisation-Environment) framework and the Iacovou model to
 obtain improved knowledge, to better determine the most suitable Cloud 
 Computing adoption factors. These models form the conceptual framework for
 this study. Two phases are performed in order to collect the required data: firstly,
 a questionnaire-based survey; secondly, interview-based case studies approach.
 The data and hypothesis are analysed and tested using descriptive statistics, AHP,
 multi-regression and Pearson Correlation. SPSS is used to analyse the collected
 data and all statistics and figures are extracted from this software. The initial
 results show some of the main factors that could affect the adoption of Cloud
 Computing, and show the relationship between the dependent and independent
 variables which indicate the positive and negative impact.

Makale detayları

IDENTIFYING THE DETERMINANTS OF CLOUD COMPUTING ADOPTION IN A GOVERNMENT SECTOR – A CASE STUDY OF SAUDI ORGANISATION

Yazarlar: Majed Alsanea | David Wainwright

Yayıncı: Sosyal Bilimler Araştırmaları Derneği

Dergi: International Journal of Business and Management Studies 2014 Vol.6 Issue 2, pp.29-43

Belge Tipi: Makale

Yayın Tarihi: 11/2014

Belge Dili: Türkçe

Document ID (Org No.): 2000809073

Sıklık: İki Yıllık

eISSN: 1309-8047

Sayı

Yazarlar:

Majed Alsanea | David Wainwright

Yayıncı:

Sosyal Bilimler Araştırmaları Derneği

Dergi:

International Journal of Business and Management Studies 2014 Vol.6 Issue 2, pp.29-43

Belge Tipi:

Makale

Yayın Tarihi:

11/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000809073

Sıklık:

İki Yıllık

eISSN:

1309-8047