What role does corporate governance play in the intention to use cloud computing technology?

This paper aims to investigate the factors which promote the adoption of cloud-based technology. It strives for a better understanding of the impact of corporate governance on the adoption of this technology. This study concentrated on executives in companies where the use of cloud computing may give a competitive advantage. The main contribution of this work is to propose a model for the influence of corporate governance and other factors that determine the adoption of this technology. A questionnaire was prepared after taking into consideration the reviewed literature. The sample consisted of 164 technology companies from Southern Spain that already use the new economic models for digital solutions. The methodology used to analyze the structural model was the Structural Equation Model (SEM). The results of the survey showed the influence of Corporate Governance and the procedures and practices of the organization on the adoption of cloud computing and the associated business model. This study aims to point out the importance of corporate support and Knowledge Management for the correct and successful adoption of this technology and to show the effects on the new business model of billing for the use of available resources. View Full-Tex

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

A Study of Personal Cloud Computing: Compatibility, Social Influence, and Moderating Role of Perceived Familiarity

Building on a research framework based on the Theory of Reasoned Action (TRA), Innovation Diffusion Technology (IDT), and the Technology Adoption Model (TAM), we propose a model integrating compatibility, social influence, and perceived familiarity given the implicit uncertainty of personal cloud. Our model emphasizes the moderating effect of perceived familiarity on the relationships between both perceived compatibility and social influence on behavioral intention. PLS-based structural equation modeling is employed to test the related propositions empirically. Results from a survey, involving 265 university students, reveal that perceived compatibility explains a larger proportion of the variance in behavioral intention; perceived familiarity plays a significant role in moderating the impact of perceived compatibility and social influence on intention to adopt personal cloud. Managerial and theoretical implications are discussed

Strategies Used by Cloud Security Managers to Implement Secure Access Methods

Cloud computing can be used as a way to access services and resources for many organizations; however, hackers have created security concerns for users that incorporate cloud computing in their everyday functions. The purpose of this qualitative multiple case study was to explore strategies used by cloud security managers to implement secure access methods to protect data on the cloud infrastructure. The population for this study was cloud security managers employed by 2 medium size businesses in the Atlanta, Georgia metropolitan area and that have strategies to implement secure access methods to protect data on the cloud infrastructure. The technology acceptance model was used as the conceptual framework for the study. Data were collected from semi-structured interviews of 7 security managers and review of 21 archived documents that reflected security strategies from past security issues that occurred. Data analysis was performed using methodological triangulation and resulted in the identification of three major themes: implementing security policies, implementing strong authentication methods, and implementing strong access control methods. The findings from this research may contribute to positive social by decreasing customers\u27 concerns regarding personal information that is stored on the cloud being compromised

Alternative Group Technologies and Their Influence on Group Technology Acceptance

There is a long history of study to understand why work groups do or do not adopt new collaboration technologies. However, research has focused on only one technology. The underlying assumption is that work groups can adopt or not adopt that one technology based on that technology alone. In making this assumption, many researchers have failed to realize the importance of alternative technologies in the adoption process or the fact that groups can adopt more than one technology. To address this issue, we examined an attempt by a scientific research organization to have its work groups adopt a particular group-collaboration technology. Although the target technology was more than appropriate for the task and the organization provided all the resources needed for work groups to adopt the technology, i largely failed. This was in large part because of two alternative collaboration technologies that acted as substitutes.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/144537/1/AJIS_7000100087_20180619_1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144537/4/Ammari et al. 2018.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/144537/6/Ammari et al. 2018 (Published).pdfDescription of Ammari et al. 2018.pdf : Forthcoming versionDescription of Ammari et al. 2018 (Published).pdf : Final Versio

How Technology Has Changed the Field of Accounting

The thesis aims to discuss how technology has changed the field of accounting. The research focuses on information from journal articles and research reports to discover the changes that technological advancements have brought to the accounting industry and profession. The customer Satisfaction Model is one of the researcher\u27s theories in this thesis. The theoretical framework also consists of the Technology Acceptance Model as the other theory. The discussion emphasizes the technological advances in accounting and the shortcomings of technological advancements in accounting. Each type of business is affected differently by technology. Accounting, for example, must keep up with the rapid changes in technology, information, and software that are occurring right now. Due to technological advancements, accountants must keep their skills up-to-date to properly use new tools such as computers and accounting software such as Excel and QuickBooks. Today\u27s accounting industry relies on technology to provide more efficient services to its clients. The first abacus was designed for use in business to assist people in keeping track of their math. Many people attempted to build machines that could help accountants with math problems in the past, even though it was not known as technology. It was only a matter of time before the calculator appeared. As accounting technology advanced, the accountant\u27s job became more complex and time-consuming. It made no difference that the accountant was equipped with computers and calculators. The accountant was still required to record the company\u27s transactions manually. Paper records, numbers, and handwritten statements demonstrate how financial data was previously found, measured, and communicated

Moderating effects of age and experience on the factors influencing the actual usage of cloud computing

Cloud computing technology (CCT) has attracted extensive attention of organizations to enhance their agility, flexibility and competitive advantage. Successful implementation of CCT depends on its acceptance and useby senior IT managers in the organizations. This study proposes an extended technology acceptance model (TAM) to predict actual CCT usage by the managers. A questionnaire is used to collect the needful data. Exploratory and confirmatory factor analyses are performed to analyze the factor structure and measurement model. Structural equation modeling is used to analyze the structural model. The results supported all the hypotheses of the model. The moderating effect of experience and age is also tested through multi-group analysis. Based on findings of the study, implications for CCT usage in the organizations are discussed

Innovation Attributes and Managers' Decisions about the Adoption of Innovations in Organizations: A Meta-Analytical Review

The adoption of innovations has emerged as one of the dominant research topic in the management of innovations in organizations, though investigations often yield mixed results. To help managers and researchers improve the effectiveness of their efforts, the authors employed meta-analysis integrated by structural equation modeling to analyze the associations between the attributes of innovations, behavioral preferences of managers and organizations' innovation adoption decisions in a mediated-moderated framework. Our findings offer evidences that attributes of innovations influence behavioral preferences of managers and, in turn, adoption decisions in organizations. We also observe that the context in which the adoption decision takes place and the research settings employed by scholars matter. Finally, the theoretical contribution and practical implications of our meta-analytical results are discussed. Keywords: Attributes of innovations, Managers' behavioral preferences, Organizations' innovation adoption decisions, Meta-analysis, Mediation-moderatio

Determinants of Cloud Computing Intentions to Use: Role of Firm’s Size, Managerial Structure and Industrial Sector

Currently many companies are adopting cloud computing to accomplish their diverse purposes and to create an elastic and responsive environment that can rapidly respond to new business requirements. This paper attempts to investigate the factors influencing cloud computing adoption from the managerial perspective with inclusion of size of firm, organizational structure and type of industry as control variables. The model is developed with various technological, economic and cognitive factors that affect the behavioral intention to use cloud computing using technology acceptance model (TAM).Questionnaires were randomly distributed to around 1000 senior managers of various firms in India. Hierarchical multiple regression (HMR) was performed to test the impact of control variables on the factors that influence managerial intention to adopt cloud computing. The result showed that all the independent variables (perceived usefulness, perceived ease of use, perceived risks, perceived benefits, perceived ubiquity, perceived costs and job relevance) explain additional 32.3% of variance in intention to use cloud computing. Based on standardized beta coefficients (β) values, the result showed that the impact of firm size is found highest among other control variables in explaining the amount of variability in behavioral intention to use cloud computing. The result of this study will enable the firms to focus on managerial perspectives of cloud-based applications and their attitude towards adoption