Factors Affecting the Adoption of Cloud Computing in Saudi Arabian Universities

Cloud computing is a novel trend in the sphere of information technology. This research sought to identify the factors that could influence the adoption of cloud computing in Saudi Arabian universities, and to comprehend the theories of technology adoption that apply to the uptake of cloud computing in organisations or for individuals, and how they pertained to the study reported here. Four categories of possible influencers were investigated: technological, organisational, environmental, and cultural. This mixed-methods study was based in extended TOE theory (technology, organisation, and environment) and the Hofstede model, which includes cultural factors. To accomplish the goals of the research, an exploratory study consisting of two phases, including qualitative (interviews) and quantitative (survey) was initiated to determine the importance of each of these influencers and the degree of influence. The results revealed that the factors of relative advantage, compatibility, top management support, readiness, competitive pressure, regulatory support, high masculinity, and high individualism have positive impacts on the adoption of cloud computing in this particular context. They also showed that security concerns, high uncertainty avoidance, and high power distance have negative impacts on cloud computing adoption. Unexpectedly, the results indicated that complexity, language and religion do not influence the adoption process.

Download Full-text

UNDERSTANDING DETERMINANTS OF CLOUD COMPUTING ADOPTION USING AN INTEGRATED DIFFUSION OF INNOVATION (DOI)-TECHNOLOGICAL, ORGANIZATIONAL AND ENVIRONMENTAL (TOE) MODEL

Humanities & Social Sciences Reviews ◽

10.18510/hssr.2020.8115 ◽

2020 ◽

Vol 8 (1) ◽

pp. 91-102 ◽

Cited By ~ 2

Author(s):

Can Sayginer ◽

Tuncay Ercan

Keyword(s):

Decision Making ◽

Cloud Computing ◽

Security And Privacy ◽

Relative Advantage ◽

Top Management ◽

Management Support ◽

Cloud Computing Adoption ◽

Depth Analysis ◽

Cloud Providers ◽

Adoption Decisions

Purpose of the study: This study aims to investigate the internal and external factors for CC adoption decisions of companies in Izmir, Turkey using a combination of DOI and TOE models. Methodology: This is a confirmatory survey of businesses, forming a questionnaire for 176 IT decision-makers of non-cloud or cloud user businesses in the city of Izmir in Turkey. SmartPLS 3.0 software is used to assess the determinants affecting cloud computing adoption. Main Findings: The study identified relative advantage, compatibility, complexity, and top management support, using security and privacy concerns and cost savings as mediating variables of relative advantage for CC adoption. The survey results indicated that complexity and top management supports are significantly important for efficient CC adoption. The model explained 41.2 percent of CC adoption. Applications of this study: The study is believed to be useful in fields including business development for most sectors, computing, cloud providers as well as researchers on business administration, sales, marketing, and IT infrastructure. Particularly this study and the suggested framework will help companies and businesses adopt CC appropriately. Moreover, as suggested in the study, governments can use such frameworks when encouraging cloud providers to support companies in their decision making and transition periods for CC adoption. Novelty/Originality of this study: This study will undoubtedly contribute to the decision making processes of the companies for CC adoption. Through the integrated in-depth analysis of the factors that affect the adoption decisions in an industrial region of Turkey, the study will also provide valuable data for the researchers and businesses within similar company personas.

Download Full-text

Preliminary insight into cloud computing adoption in a developing country

Journal of Enterprise Information Management ◽

10.1108/jeim-09-2014-0094 ◽

2016 ◽

Vol 29 (4) ◽

pp. 505-524 ◽

Cited By ~ 39

Author(s):

Prince Kwame Senyo ◽

John Effah ◽

Erasmus Addae

Keyword(s):

Cloud Computing ◽

Developing Country ◽

Quantitative Research ◽

Relative Advantage ◽

Management Support ◽

Content Type ◽

Top Management Support ◽

Cloud Computing Adoption ◽

Trading Partners ◽

Toe Framework

Purpose – The purpose of this paper is to investigate the determinants of cloud computing adoption (CCA) in a developing country context through the lens of the technology, organisation and environment (TOE) framework. Design/methodology/approach – The study was carried out using the quantitative research methodology based on a survey of 305 organisations from different industries in Ghana. Based on the TOE framework, a conceptual model consisting of ten hypotheses were proposed and tested through a confirmatory factor analysis and logistic regression analysis. Findings – The findings indicate that relative advantage, security concern, top management support, technology readiness, competitive pressure and trading partners’ pressure were the TOE factors found to be significant in CCA in a developing country context. Conversely, firm size, scope, compatibility and regulatory support were found to be insignificant. Originality/value – This study provides insights into CCA across different industries in a developing country environment. The study is arguably the first kind of empirical research into CCA in a developing country context, specifically in Ghana. The findings from this study provide a foundation for other studies as well as constructive insights for the development of cloud computing, due to its infancy in the developing world.

Download Full-text

A model for evaluating the vital factors affecting cloud computing adoption

Kybernetes ◽

10.1108/k-06-2019-0434 ◽

2019 ◽

Vol 49 (10) ◽

pp. 2475-2492

Author(s):

Cheng Jianwen ◽

Karzan Wakil

Keyword(s):

Cloud Computing ◽

Structural Equation ◽

Service Providers ◽

Information And Communications Technology ◽

Equation Modeling ◽

Management Support ◽

Content Type ◽

Factors Affecting ◽

Cloud Computing Adoption ◽

Proposed Model

Purpose Nowadays, the rapid growth of information technology strategies such as cloud computing is very noticeable in organizations. The advantages of the cloud environment are unavoidable because of an increase in innovation, flexibility and economy. Therefore, the critical topic is considering the factors affecting the adoption of cloud computing. This study aims to understand the factors of the adoption of cloud computing and its benefit in companies. Design/methodology/approach A research framework with four hypotheses has been developed based on the results of previous studies. Structural equation modeling has been used for data analysis. Findings The proposed model is verified by the results. In addition, the results have shown that cloud computing adoption is affected by four variables as follows, including human factor (with sub-indicator personal innovativeness and knowledge), organizational factor (with sub-indicator size, adequacy of resources and top management support), technical factor (with sub-indicator compatibility and security) and environmental factor (with sub-indicator regulatory environment, competitive pressure and trading partner). Research limitations/implications There are crucial implications in the findings: they have an essential contribution to the research community, administrators and Information and Communications Technology providers with respect to framing improved tactics for the adoption of cloud computing. The proposed model can enhance the perception of service providers about why some services sectors accept cloud computing amenities, whereas apparently the same ones having the same market situations do not. In addition, the above providers should enhance their interaction with the services sectors contributed to the cloud computing experience to make a well-organized setting for the adoption of cloud computing, and eliminate any ambiguity about this sort of technology. Moreover, the sample has been limited to Iran respondents. Practical implications The research studies about the usage of cloud computing have shown its effects on organizations today. Also, the different impacts of cloud computing on other contexts and organizations are in the center of attention. By carefully considering and managing cloud computing adoption logics, organizations could get significant advantages. Originality/value Cloud computing’s technical and operational issues have been central in most of the previous studies. Some surveys have referred to the adoption of cloud computing by the organizations in terms of human characteristics or the contextual factor. Therefore, there should be a model and outline to assess the effect of aforesaid factors on cloud computing adoption.

Download Full-text

The Role of Cloud Computing Adoption in Global Business

Advances in Systems Analysis, Software Engineering, and High Performance Computing - Delivery and Adoption of Cloud Computing Services in Contemporary Organizations ◽

10.4018/978-1-4666-8210-8.ch002 ◽

2015 ◽

pp. 26-55 ◽

Cited By ~ 39

Author(s):

Kijpokin Kasemsap

Keyword(s):

Cloud Computing ◽

Organizational Performance ◽

Organizational Context ◽

Environmental Context ◽

Relative Advantage ◽

Management Support ◽

Global Business ◽

Cloud Computing Adoption ◽

Technological Context

This chapter introduces the role of cloud computing adoption in global business, thus explaining the application overview of cloud computing, the adoption of Information and Communication Technology (ICT), and the Technology, Organization, and Environment (TOE) framework related to technological context, organizational context, and environmental context. In addition, technological context includes the relative advantage, uncertainty, compatibility, and trialability. Organizational context includes the size, top management support, innovation, and prior technology experience. Environmental context includes competitive pressure, industry, market scope, and supplier computing support. Adopting cloud computing in global business will significantly enhance organizational performance and achieve business goals in the digital age.

Download Full-text

The Role of Cloud Computing Adoption in Global Business

Web-Based Services ◽

10.4018/978-1-4666-9466-8.ch071 ◽

2016 ◽

pp. 1611-1640

Author(s):

Kijpokin Kasemsap

Keyword(s):

Cloud Computing ◽

Organizational Performance ◽

Organizational Context ◽

Environmental Context ◽

Relative Advantage ◽

Management Support ◽

Global Business ◽

Cloud Computing Adoption ◽

Technological Context

Download Full-text

An Investigation on Cloud Computing Adoption Within Information Technology Companies

Handbook of Research on Future Opportunities for Technology Management Education - Advances in Educational Technologies and Instructional Design ◽

10.4018/978-1-7998-8327-2.ch016 ◽

2021 ◽

pp. 266-287

Author(s):

Alireza Mohammadi ◽

Armin Saeedikondori ◽

Hossein Nezakati ◽

Naghmeh Sabermajidi ◽

Amer Hamzah Jantan

Keyword(s):

Information Technology ◽

Cloud Computing ◽

Relative Advantage ◽

Top Management ◽

Management Support ◽

Competitive Pressure ◽

Top Management Support ◽

Cloud Computing Adoption ◽

Wide Range ◽

Technology Services

Cloud computing is one of the most popular technology services, and its usage has increased significantly in recent years. This study aims to understand the factors that influence cloud computing adoption by Malaysian information technology (IT) companies. An in-depth review in the previous literature demonstrated a relationship between relative advantage, complexity, compatibility, top management support, firm size, technology readiness, competitive pressure, and trading partner pressure with cloud computing adoption in Malaysia. The study's findings displayed that relative advantage, compatibility, top management support, and competitive pressure significantly affect cloud computing adoption. The study contributes to applying new technological features of cloud computing adoption in the industry through a wide range of variables. The results also help companies foresee their IT investment when implementing cloud computing. The relative advantage is identified to have the highest impact on cloud computing adoption.

Download Full-text

Cloud computing adoption model for e-government implementation

Information Development ◽

10.1177/0266666916656033 ◽

2016 ◽

Vol 33 (3) ◽

pp. 303-323 ◽

Cited By ~ 14

Author(s):

Fathey Mohammed ◽

Othman Ibrahim ◽

Mehrbakhsh Nilashi ◽

Ensaf Alzurqa

Keyword(s):

Cloud Computing ◽

Diffusion Of Innovation ◽

New Technology ◽

Organizational Factors ◽

Two Dimensions ◽

Relative Advantage ◽

Management Support ◽

It Services ◽

Factors Affecting ◽

The Way

Cloud computing essentially is a scalable, flexible and pay-per-use model for the way IT services are delivered. It can significantly improve the way a government functions, the services it provides to its citizens and institutions. This paper aims to explore the factors that influence adopting cloud computing as a part of public sector organizations’ alternatives to implement e-government services. Based on two dominant theories in the field of adoption of new technology, the Fit-Viability Model and Diffusion of Innovation Theory, a model is proposed. Data were gathered using a structured questionnaire with a sample of 296 IT staff employed in public organizations in Yemen. The results clarify the need to consider factors affecting two dimensions, fit and viability, to make a decision to adopt cloud computing in an e-government context. The fitness of cloud computing to e-government tasks is affected by factors such as relative advantage, compatibility, trialability and security, but is not affected by the complexity of the technology. On the other hand, the viability is influenced by economic factors (return on investment and asset specificity) and technological readiness (IT infrastructure and IT policy and regulations), while the results do not support the relation between the organizational factors such as top management support and cloud knowledge and viability.

Download Full-text

Understanding determinants of cloud computing adoption using an integrated TAM-TOE model

Journal of Enterprise Information Management ◽

10.1108/jeim-08-2013-0065 ◽

2015 ◽

Vol 28 (1) ◽

pp. 107-130 ◽

Cited By ~ 218

Author(s):

Hemlata Gangwar ◽

Hema Date ◽

R Ramaswamy

Keyword(s):

Cloud Computing ◽

Ease Of Use ◽

Perceived Usefulness ◽

Organizational Level ◽

Relative Advantage ◽

Equation Modeling ◽

Content Type ◽

Cloud Computing Adoption ◽

Tam Model ◽

Toe Framework

Purpose – The purpose of this paper is to integrate TAM model and TOE framework for cloud computing adoption at organizational level. Design/methodology/approach – A conceptual framework was developed using technological and organizational variables of TOE framework as external variables of TAM model while environmental variables were proposed to have direct impact on cloud computing adoption. A questionnaire was used to collect the data from 280 companies in IT, manufacturing and finance sectors in India. The data were analyzed using exploratory and confirmatory factor analyses. Further, structural equation modeling was used to test the proposed model. Findings – The study identified relative advantage, compatibility, complexity, organizational readiness, top management commitment, and training and education as important variables for affecting cloud computing adoption using perceived ease of use (PEOU) and perceived usefulness (PU) as mediating variables. Also, competitive pressure and trading partner support were found directly affecting cloud computing adoption intentions. The model explained 62 percent of cloud computing adoption. Practical implications – The model can be used as a guideline to ensure a positive outcome of the cloud computing adoption in organizations. It also provides relevant recommendations to achieve conducive implementation environment for cloud computing adoption. Originality/value – This study integrates two of the information technology adoption models to improve predictive power of resulting model.

Download Full-text