scholarly journals Factors Influencing the Adoption of Cloud Computing by Small and Medium-Sized Enterprises (SMEs)

2021 ◽  
Author(s):  
Shima Ramezani Tehrani
Keyword(s):  
Cloud Computing ◽  
Regression Analysis ◽  
Diffusion Of Innovation ◽  
Online Survey ◽  
Discriminant Validity ◽  
Influential Factor ◽  
Hype Cycle ◽  
Factors Influencing ◽  
Cloud Computing Adoption ◽  
Convergent And Discriminant Validity

The main objective of this study is to determine the factors influencing the cloud computing adoption by Small and Medium sized Enterprises (SMEs). Based on two dominant theories in the field of diffusion of innovation, a conceptual model is proposed. In order to test the model empirically, an online survey was designed and launched. Decision makers of 101 SMEs agreed to participate in this survey. In order to evaluate the internal, convergent and discriminant validity of the instrument, factor analysis and reliability tests of panel data were performed. The logistic regression analysis was deployed to test the research hypotheses. The results of regression analysis reveal that decision maker’s knowledge about cloud computing is the main influential factor in adopting this technology. A comparison between two groups of cloud adopters and non-adaptors confirm the recent Gartner's hype cycle model for emerging technology (as discussed in chapter 7) indicating a high expectation from cloud computing in both groups.

scholarly journals Factors Influencing the Adoption of Cloud Computing by Small and Medium-Sized Enterprises (SMEs)

2021 ◽  
Author(s):  
Shima Ramezani Tehrani
Keyword(s):  
Cloud Computing ◽  
Regression Analysis ◽  
Diffusion Of Innovation ◽  
Online Survey ◽  
Discriminant Validity ◽  
Influential Factor ◽  
Hype Cycle ◽  
Factors Influencing ◽  
Cloud Computing Adoption ◽  
Convergent And Discriminant Validity

The main objective of this study is to determine the factors influencing the cloud computing adoption by Small and Medium sized Enterprises (SMEs). Based on two dominant theories in the field of diffusion of innovation, a conceptual model is proposed. In order to test the model empirically, an online survey was designed and launched. Decision makers of 101 SMEs agreed to participate in this survey. In order to evaluate the internal, convergent and discriminant validity of the instrument, factor analysis and reliability tests of panel data were performed. The logistic regression analysis was deployed to test the research hypotheses. The results of regression analysis reveal that decision maker’s knowledge about cloud computing is the main influential factor in adopting this technology. A comparison between two groups of cloud adopters and non-adaptors confirm the recent Gartner's hype cycle model for emerging technology (as discussed in chapter 7) indicating a high expectation from cloud computing in both groups.

scholarly journals Modeling the adoption of cloud computing to assess South African SMEs: An integrated perspective

10.29007/j2nc ◽  
2019 ◽  
Author(s):  
Kenneth Ayong ◽  
Rennie Naidoo
Keyword(s):  
South Africa ◽  
Cloud Computing ◽  
Conceptual Model ◽  
South African ◽  
Diffusion Of Innovation ◽  
Service Providers ◽  
Cloud Service ◽  
Cloud Services ◽  
Critical Factors ◽  
Cloud Computing Adoption

The adoption of cloud computing among SMEs in developing countries, particularly South Africa, is still very low. The purpose of this study is to develop a conceptual model to assess the critical factors that influences South African SMEs to adopt cloud services. This paper proposes an integrated conceptual model that incorporates critical factors from the diffusion of innovation (DOI) theory, institutional theory, transaction cost theory, organisation theory, information security theory, and trust theories. Cloud computing adoption research dominated by the DOI perspective, can benefit from further cross- fertilization with different theories to explain and predict patterns of cloud services use in the SME context. This model is expected to offer deeper insights and practical value to SME decision makers, cloud service providers, regulatory agencies and government responsible for establishing cloud computing adoption strategies for SMEs in South Africa. We intend to apply this model to survey research in future studies.

scholarly journals Evacuation Departure Timing during Hurricane Matthew

2020 ◽  
Vol 12 (2) ◽  
pp. 235-248 ◽  
Author(s):  
Erika O. Pham ◽  
Christopher T. Emrich ◽  
Zhenlong Li ◽  
Jamie Mitchem ◽  
Susan L. Cutter
Keyword(s):  
South Carolina ◽  
Regression Analysis ◽  
Online Survey ◽  
Prior Experience ◽  
Significant Variable ◽  
Proxy Variable ◽  
Factors Influencing ◽  
Time Period ◽  
Logistic Regressions ◽  
Evacuation Behaviors

AbstractThis study investigates evacuation behaviors associated with Hurricane Matthew in October of 2016. It assesses factors influencing evacuation decisions and evacuation departure times for Florida, Georgia, and South Carolina from an online survey of respondents. Approximately 62% of the Florida sample, 77% of the Georgia sample, and 67% of the South Carolina sample evacuated. Logistic regression analysis of the departures in the overall time period identified variability in evacuation timing, primarily dependent on prior experience, receipt of an evacuation order, and talking with others about the evacuation order. However, using four logistic regressions to analyze differences in departure times by day shows that the only significant variable across the three main days of evacuation was our proxy variable for evacuation-order times. Depending on the day, other variables of interest include number of household vehicles, previous hurricane experience, and receipt of an evacuation order. Descriptive results show that many variables are considered in the decision to evacuate, but results from subsequent analyses, and respondents’ comments about their experiences, highlight that evacuation orders are the primary triggering variable for when residents left.

Adoption of Cloud Computing in UAE

2021 ◽  
pp. 2496-2518
Author(s):  
Juno Srivastava ◽  
Krishnadas Nanath
Keyword(s):  
Cloud Computing ◽  
Data Security ◽  
Service Providers ◽  
New Technology ◽  
It Industry ◽  
Cloud Adoption ◽  
Hype Cycle ◽  
Cloud Computing Adoption ◽  
Legal Implications ◽  
Significant Factors

With the advent of new technology, the IT industry continuously strives to innovate in terms of deploying products or providing services and Cloud Computing is rapidly moving in the hype cycle. With practically all the service providers offering products and services with cloud features and functionality and investing in creating a cloud computing ecosystem, it has become important to understand what these ecosystem means to the organizations based out of UAE who have to decide whether to adopt cloud computing or shun it. There are several factors impacting an organization's decision on its choice of cloud computing adoption (like data security, Legal implications and derived benefits especially in UAE) (Al Tamimi & Company, 2005). There is a need for an assessment of cloud ecosystem in UAE which would be one of the significant factors considered cloud adoption in this region. This study analyzes the current cloud ecosystem providers in UAE and their product and services on cloud computing. It also tries to relate the relation between the cloud ecosystem and the factors impacting organization's decision to adopt cloud computing.

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.

Future Research on Cloud Computing Adoption by Small and Medium-Sized Enterprises

2013 ◽  
Vol 5 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Amin Saedi ◽  
Noorminshah A. Iahad
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Actor Network Theory ◽  
Future Research ◽  
Diffusion Of Innovation Theory ◽  
Adoption Theory ◽  
Cloud Computing Adoption ◽  
Acceptance Model ◽  
And Diffusion

This paper delivers some initial insights into the range of theories that need to be integrated to provide a holistic explanation of Cloud Computing (CC) adoption by Small and Medium-Sized Enterprises (SMEs). To achieve this outcome, this paper firstly critiques the two commonly used Information Systems (IS) adoption/diffusion theories: the Technology Acceptance Model and Diffusion of Innovation Theory. It then evaluates the suitability of the Technology-Organization-Environment framework as an IS adoption theory and Actor-network Theory as an innovation translation approach for future research on developing an integrated theoretical framework for CC adoption by SMEs.

Sign in / Sign up

Export Citation Format

Share Document