Key Management Determinants For Cloud Computing Adoption

Although there are a significant number of advantages associated with cloud computing, there is less clarity of what are the key management determinants for cloud computing adoption. This research aims to evaluate the significance of various factors that influence the adoption decision of cloud computing services by organisations within the United Kingdom (UK). The ‘Technology-Organisation-Environment’ (TOE) adoption framework was used to develop eight hypotheses which allowed data collection through a self-created questionnaire based survey that was completed by 257 mid-to-senior level decision making business and IT professionals from a range of UK end-user organisations. The derived hypotheses were tested using various data analysis techniques including factor analysis and logistic regression. The results show that four of the eight factors examined have a significant influence on the adoption decision of cloud computing services in the UK. Those key factors are competitive pressure, complexity, technology readiness and trading partner pressure. The latter predictor; trading partner pressure, had the highest level of significance on the adoption decision of cloud services. The findings reveal how important the environmental context surrounding both the competitive pressure and more importantly trading partner pressure is on cloud adoption. This enables end-user organisations to better evaluate the cloud and vendors the opportunity of improving their offerings

Innovation attributes and managers' decisions about the adoption of innovations in organizations: A meta-analytical review

The adop­tion of in­no­va­tions has emerged as a dom­i­nant re­search topic in the man­age­ment of in­no­va­tion in or­ga­ni­za­tions, al­though in­ves­ti­ga­tions of­ten yield mixed re­sults. To help man­agers and re­searchers im­prove their ef­fec­tive­ness, the au­thors em­ployed a meta-analy­sis in­te­grated with struc­tural equa­tion mod­el­ing to an­a­lyze the as­so­ci­a­tions be­tween the at­trib­utes of in­no­va­tions, man­agers' be­hav­ioral pref­er­ences, and or­ga­ni­za­tions' in­no­va­tion adop­tion de­ci­sions in a me­di­ated-mod­er­ated frame­work. Our find­ings of­fer ev­i­dence that at­trib­utes of in­no­va­tions in­flu­ence man­agers' be­hav­ioral pref­er­ences and, con­se­quently, adop­tion de­ci­sions in or­ga­ni­za­tions. We also ob­serve the sig­nif­i­cance of the con­text in which the adop­tion de­ci­sion oc­curs as well as the re­search set­tings em­ployed by schol­ars. Fi­nally, we dis­cuss the the­o­ret­i­cal con­tri­bu­tion and prac­ti­cal im­pli­ca­tions of our meta-an­a­lyt­i­cal re­sults

Differential Adoption of Cloud Technology: A Multiple Case Study of Large Firms and SMEs

Firms across the industry segments have been exploring cloud computing to derive benefits out of its technological features. Even though literature pertaining to cloud adoption by firms exists, the factors based on cloud-specific characteristics are mostly anecdotal in nature. Following a multiple case study approach, we identify factors specific to cloud technology adoption by firms. We further explain the differential adoption of the cloud between large and small firms. Overall we obtained 11 variables that differentiate large firms and SMEs in their adoption behaviour. We further contribute to theory by mapping the extracted variables of cloud adoption to Diffusion of innovation theory (DOI) and Technology organization Environment framework (TOE)

Sec-HOTE-Fit Framework for Assessing Key Security Determinants in Cloud Computing Adoption

The use of Cloud computing has been growing steadily due to its support to businesses and individuals in cost saving and service improvements. Despite the benefits, there are concerns such as security and privacy during its adoption. The purpose of this proposed research is to examine the security determinants by focusing on the influence of technological factors in security, organisational security view and security related environmental factors. To accomplish this goal, the T echnological-Organisational-Environmental (TOE) and the Human-Organisation-Technology (HOT-fit) frameworks are adopted into the main research framework. This research will be conducted using a Sequential Explanatory Mixed Method approach. The online survey questionnaires will be used to collect data. Then, the result of this first quantitative process will be further explored and complemented with semi-structured interviews. Results generated from both phases will then be triangulated and a cross-study synthesis will be conducted to form the final result and discussion

Understanding the Determinants of Cloud Computing Adoption for High Performance Computing

Within the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizations’ cloud computing adoption decisions in this context

Why Cloud? - A Review of Cloud Adoption Determinants in Organizations

Adoption of cloud computing in organizations is increasing at a rapid pace. It is expected that the majority of the organizations in industrialized nations will be using cloud services to some extent in the near future. In this review I categorize adoption factors utilized in the literature and identify determinants playing a key role in organizations’ decision to adopt cloud. I analyze both quantitative and qualitative evidence and code relationships between factors and adoption of cloud by systematically reviewing the literature. Findings show underrepresentation of the factors related to organization and external environment in cloud adoption literature. This study contributes a set of determinants of cloud adoption, which serves as a foundation for the future research and advancement of the theories in information systems field

A framework for the successful implementation of food traceability systems in China

Implementation of food traceability systems in China faces many challenges due to the scale, diversity and complexity of China’s food supply chains. This study aims to identify critical success factors specific to the implementation of traceability systems in China. Twenty-seven critical success factors were identified in the literature. Interviews with managers at four food enterprises in a pre-study helped identify success criteria and five additional critical success factors. These critical success factors were tested through a survey of managers in eighty-three food companies. This study identifies six dimensions for critical success factors: laws, regulations and standards; government support; consumer knowledge and support; effective management and communication; top management and vendor support; and information and system quality