Challenges of Cloud Computing Adoption From the TOE Framework Perspective

2019 ◽  
pp. 1312-1332
Author(s):  
Omar Al-Hujran ◽  
Enas M. Al-Lozi ◽  
Mutaz M. Al-Debei ◽  
Mahmoud Maqableh
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Computing Platform ◽  
Cloud Computing Adoption ◽  
Generation Computing ◽  
Toe Framework ◽  
Computational Resources ◽  
Depth Interviews ◽  
Reduced Time ◽  
Computing Infrastructure

Cloud computing can be classified as a third-generation computing platform which refers to on-demand delivery of computing infrastructure and services via a network, usually the Internet. Cloud computing promises to provide several advantages to its adopters such as: cost advantage, availability, scalability, flexibility, reduced time to market and dynamic access to computational resources. Notwithstanding the numerous advantages of cloud computing, its implementation and adoption in developing countries is still limited and surrounded by variety of issues. Hence, the main objective of this article is to identify the main challenges facing the utilization of these services in developing countries, particularly Jordan. To achieve the above-mentioned objective, six in-depth interviews with ICT officials and experts in the domain of cloud computing were used as the main data collection method. The challenges of cloud computing adoption emerged in this study are classified into technological, organizational and environmental factors.

Challenges of Cloud Computing Adoption From the TOE Framework Perspective

2018 ◽  
Vol 14 (3) ◽  
pp. 77-94 ◽  
Author(s):  
Omar Al-Hujran ◽  
Enas M. Al-Lozi ◽  
Mutaz M. Al-Debei ◽  
Mahmoud Maqableh
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Time To Market ◽  
Computing Platform ◽  
On Demand ◽  
Cloud Computing Adoption ◽  
Generation Computing ◽  
Computational Resources ◽  
Depth Interviews ◽  
Reduced Time

Cloud computing can be classified as a third-generation computing platform which refers to on-demand delivery of computing infrastructure and services via a network, usually the Internet. Cloud computing promises to provide several advantages to its adopters such as: cost advantage, availability, scalability, flexibility, reduced time to market and dynamic access to computational resources. Notwithstanding the numerous advantages of cloud computing, its implementation and adoption in developing countries is still limited and surrounded by variety of issues. Hence, the main objective of this article is to identify the main challenges facing the utilization of these services in developing countries, particularly Jordan. To achieve the above-mentioned objective, six in-depth interviews with ICT officials and experts in the domain of cloud computing were used as the main data collection method. The challenges of cloud computing adoption emerged in this study are classified into technological, organizational and environmental factors.

scholarly journals Cloud Computing in Education in Developing Countries

2017 ◽  
Vol 10 (2) ◽  
pp. 87 ◽  
Author(s):  
Faten Karim ◽  
Giselle Rampersad
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Technology Adoption ◽  
Tertiary Education ◽  
Developed Countries ◽  
Education Sector ◽  
It Infrastructure ◽  
Cloud Computing Adoption ◽  
Limited Degree ◽  
Set Up

The main advantage of cloud computing is to reduce the IT cost. By using cloud computing, organisations do not have to set up an IT infrastructure, and instead are able to rent resources and give payment only for the using services. Even with the appealing of cloud computing benefits, it is still in infancy in developing countries due to many reasons. Technology adoption has been explored to a limited degree in developing countries, particularly in relation to cloud computing in the tertiary education sector. Existing studies have examined technology adoption in developed countries and to a lesser extent in developing countries in non-education contexts such as e-government. This paper contributes to the cloud computing adoption literature in developing countries, and specifically in Saudi Arabian universities. 

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

2015 ◽  
Vol 28 (1) ◽  
pp. 107-130 ◽  
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.

Systems approach to cloud computing adoption in an emerging economy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya ◽  
Karuna Jain
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Systems Approach ◽  
Service Providers ◽  
Developing Economies ◽  
Resistance To Change ◽  
Cloud Services ◽  
Financial Loss ◽  
Content Type ◽  
Cloud Computing Adoption

PurposeCloud computing (CC) services have given a tremendous boost to the creation of efficient and effective solutions. With developing countries at a slow pace of adoption, this research aims to identify factors and their interrelationships influencing the adoption of CC in a developing country context. The developing countries are enjoying numerous benefits from CC services; however, its low adoption is still a question in developing economies; hence, the authors have selected the context of information and communication technology (ICT) firms in India.Design/methodology/approachThe qualitative research method is used where experts from thirteen ICT firms in India are interviewed.FindingsSixteen factors, twenty-eight subfactors, and 25 interrelationships are revealed through content analysis. Further, causal loop diagrams are proposed to display the behavior of cause and effect of these factors from a system's perspective. This will help to understand the relationships among the factors in order to enhance the speed of CC adoption. Possible financial loss and resistance to change are found as the key barriers to adoption. The proposed interrelationships can guide both policymakers and service providers for designing effective CC policies.Originality/valueThis is the first scholarly work that identifies interrelationships among factors and subfactors, thereby providing a holistic picture to decision-makers while making a choice on whether to adopt cloud services or continue with on premise data centers and servers.

Designing a Forensic-Enabling Cloud Ecosystem

2015 ◽  
pp. 566-579
Author(s):  
Keyun Ruan
Keyword(s):  
Cloud Computing ◽  
Research And Development ◽  
Technological Innovation ◽  
Design Thinking ◽  
Legal Framework ◽  
Next Generation ◽  
Generation Computing ◽  
Major Transition ◽  
Computing Infrastructure

Cloud computing is a major transition, and it comes at a unique historical and strategic time for applying foundational design thinking to secure the next-generation computing infrastructure and enable waves of business and technological innovation. In this chapter, the researcher summarizes six key research and development areas for designing a forensic-enabling cloud ecosystem, including architecture and matrix, standardization and strategy, evidence segregation, security and forensic integration, legal framework, and privacy.

The adoption of cloud computing in small and medium enterprises: a developing country perspective

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abul Khayer ◽  
Nusrat Jahan ◽  
Md. Nahin Hossain ◽  
Md. Yahin Hossain
Keyword(s):  
Cloud Computing ◽  
Firm Performance ◽  
Small And Medium Enterprises ◽  
Security And Privacy ◽  
Content Type ◽  
Cloud Computing Adoption ◽  
Effort Expectancy ◽  
Toe Framework ◽  
Medium Enterprises ◽  
Organisational Agility

Purpose The purpose of this paper is to examine the determinants of cloud computing adoption in small and medium enterprises (SMEs), further, to measure the effect of cloud computing adoption on cloud-supported firm performance through enhancing organisational agility. Design/methodology/approach The research model is developed by combining two popular theoretical models, namely, the unified theory of acceptance and use of technology (UTAUT) and the technology–organisation–environment (TOE) framework. Data are collected from 372 SMEs to test the model. The strengths of widely used structural equation modelling (SEM) are applied to analyse the data. Findings This study reveals that the significant predictors of cloud computing adoption are performance expectancy; effort expectancy; absorptive capacity; data security and privacy; and perceived trust. Also, cloud computing adoption positively influences firm performance directly and through organisational agility. The results of importance–performance map analysis indicate that effort expectancy falls in the critical zone, which needs to be improved. Originality/value This research is one of few that blends the strengths of UTAUT and TOE framework. The research outcomes yield noteworthy suggestions to cloud providers, managers and government policymakers on ways of motivating the spread of cloud computing in developing countries.

A Cloud Computing Adoption Framework for Developing Countries

2020 ◽  
pp. 661-679
Author(s):  
Anh D. Ta
Keyword(s):  
Economic Growth ◽  
Cloud Computing ◽  
Developing Countries ◽  
Small And Medium Enterprises ◽  
Poor People ◽  
Living Wage ◽  
Cloud Computing Adoption ◽  
The Creation ◽  
Medium Enterprises ◽  
New Jobs

This chapter explores Cloud computing adoption strategies for small and medium enterprises (SMEs) and microenterprise that can enhance the economic growth of local industries in developing countries. This focus is based on the recognitions that (1) economic growths of local industries reduce poverty through the creation of new jobs for poor people to earn a living wage and support their families, and (2) there is a lack of research on Cloud computing adoption strategy that addresses the unique constraints of small and medium enterprises (SMEs) in developing countries.

Factors influencing cloud computing adoption for e-government implementation in developing countries

2016 ◽  
Vol 18 (3) ◽  
pp. 297-327 ◽  
Author(s):  
Fathey Mohammed ◽  
Othman Ibrahim ◽  
Norafida Ithnin
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Pilot Study ◽  
Reliability And Validity ◽  
Face Validity ◽  
Validity And Reliability ◽  
Content Type ◽  
Factors Influencing ◽  
Cloud Computing Adoption ◽  
Proposed Model

Purpose This paper aims to develop a model and measurement to investigate the factors influencing cloud computing adoption as a part of developing countries’ alternatives to implement e-government services. Design/methodology/approach This study proposes a theoretical model based on the literature of technology adoption models. It constructs scale measurements for the proposed model constructs by extracting and adapting the items from the literature. The authors verify the scales’ content validity and reliability by applying face validity, pre-testing and pilot study. For the pilot study, the authors collect the data from 26 information technology staff in five public organizations in Yemen. The authors test the reliability of the scales using Cronbach’s alpha criterion, and then conduct exploratory factor analysis to evaluate the validity of the scales. Findings The results show that the scale measurements meet the conventional criteria of reliability and validity. Originality/value Theoretically, this paper provides an integrated model for examining cloud computing adoption for e-government implementation in developing countries. In addition, it develops an instrument to empirically investigate the influencing factors of cloud computing adoption in the context of developing countries’ e-government initiatives.

scholarly journals Preliminary insight into cloud computing adoption in a developing country

2016 ◽  
Vol 29 (4) ◽  
pp. 505-524 ◽  
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.

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