Relationship Between Specific Security Concerns and CIO Intention to Adopt Cloud

Cloud computing adoption rates have not grown commensurate with several well-known and substantially tangible benefits such as horizontal distribution and reduced cost, the latter both in terms of infrastructure and specialized personnel. The lack of adoption presents a challenge to both service providers from a sales perspective and service consumers from a usability focus. The purpose of this quantitative correlational study utilizing the technological, organizational, and environmental framework was to examine the relationship between shared technology (ST), malicious insiders (MI), account hijacking, data leakage, data protection, service partner trust (SP), regulatory concerns and the key decision-makers intention to adopt cloud computing. Additionally, the modifiers of firm size and scope were applied to verify any correlative impact. Data were analyzed from 261 participants all executive technology decision-makers across a diverse field of firms in the United States. The binary logistic regression analysis showed that ST, MI, and SP were all significant predictors X2(9, N = 261) = 227.055, p \u3c.001. A key recommendation is that providers should focus on the three primary areas of concern (ST, MI, and SP) for decision-makers, emphasizing mitigation, communication, and education to foster trust in the cloud paradigm, promoting greater adoption. The implication for social change includes the potential for greater adoption of cloud computing, thus providing enterprise-class operations to nonprofit and social agencies that may otherwise be unable to provide these services to their communities

Analysis on the endogenous mechanism of big data and tower management framework in intelligent manufacturing enterprises

This paper makes an in-depth comparative analysis of years of experience in intelligent manufacturing projects and literature research related to Big Data. The 4.0 value chain model and concept are put forward to carry out the logical analysis of the endogenous relationship drive and endogenous management mechanism of intelligent manufacturing. The intelligent manufacturing business management process under the 4.0 value chain is established, and the tower Big Data management framework of intelligent manufacturing enterprises is innovatively proposed. This paper discusses the connotation, elements and drive relationship of enterprise Big Data from three dimensions of business operation, information drive and management policies. The hierarchical structure and related connotation of Big Data are revealed, and the basic characteristics of intelligent manufacturing enterprises Big Data are analyzed. The purpose of this paper is to clarify the difference of the concept between enterprise Big Data and mass data and open the Big Data fundamental research driven by digitization management. It provides basic innovative ideas and scientific research methods for the new generation of digital virtual simulation, digital factory construction and industrial chain management

CLOUD COMPUTING ADOPTION DETERMINANTS: AN ANALYSIS OF AUSTRALIAN SMES

In Australia, there is an emerging tendency among SMEs towards the adoption of cloud computing. However, there are limited studies investigating the factors that influence cloud computing adoption within Australian SMEs. To fill the research vacuum, we developed a research model based on the diffusion of innovation theory (DOI), the technology-organisation-environment (TOE) framework, and our prior exploratory study to investigate the determinants that influence the adoption of cloud computing. An organizational-level survey was conducted across Australia to collect data from technology decision makers in SMEs. Data collected from 203 firms are used to test the related hypotheses. This study contributes a statistically validated model of the influential determinants of cloud computing adoption. Data analysis indicates that Technological Factors (cost savings, relative advantages, compatibility, and trialability), Organizational Factors (firm size, top management support, innovativeness of the firm, and IS knowledge), and Environmental Factors (market scope and external computing support) were found to be determinants of the adoption of cloud computing services. Benefits of the findings are twofold. First, they provide knowledge about cloud computing determinants in the Australian marketplace. Second, they provide policy planners and SMEs’ decision makers with insights and directions for successful adoption of cloud computing technology

Effect of Cyber Security on Business Sustainability of Listed Microfinance Banks in Nigeria

In Nigeria, microfinance banks (MFB) face the burden of investing in cyber security to protect their databases, prevent monetary losses, maintain customer trust, and remain afloat in a competitive business environment. However, there are incessant cyber risks and attacks by criminals who gain undue access to the cyber-space of MFB and cause financial and non-financial loss. The objective of this quantitative study was to examine the effect of cyber security on the business sustainability of three listed, and most valued MFBs in Nigeria. The population of the study was 315 senior, medium and junior employees of three MFBs in Nigeria. As the target population was manageable, the research adopted a census. Data were collected using a semi-structured questionnaire, and the formulated hypothesis was analysed using multiple regression. The study found that cyber security has a significant and positive impact on the sustainability of MFB in Nigeria. Data availability account for the largest contribution to the sustainability of MFBs, followed by data confidentiality and data integrity. Employees in a MFB uphold that data availability, confidentiality, and integrity are pivotal elements of cyber security that influence the sustainability of their organisations in Nigeria. Given these results from the viewpoint of employees, MFBs are implored to regularly review and strengthen their risk management strategy and adopt a more integrative approach of human-centric cybersecurity, which brings technology and human elements together to address current and future cyber risks and build and sustain consumer trust in digital financial transactions. The implication of the study and areas for future research are highlighted

Effects of the Factors Determining the Online Purchase Behaviour of the Consumer on Actual Purchase

Consumer behaviour has been one of the mostly studied research areas in the marketing literature. Following the improvements in information technologies online consumer behaviour has become popular. Various factors have effects on online consumers’ purchase decisions. These factors sometimes bear a resemblance to the factors in the traditional markets and sometimes there are various differences between them.This study aims to reveal the effects of the factors determining the online purchase behaviour of the consumer on actual purchase. In order to achieve this purpose 395 questionnaires were distributed to students of a public university in Turkey. Results show the importance of understanding the factors that are effective on online consumer behaviour. It is supposed that the results of the study would shed light on the strategies of online marketers to best manage the online consumer behavior. Keywords: Consumer behaviour, online consumer behavior, online shopping, actual purchas

Designing a More Sustainable Global Tax System

The international tax system incentivizes unsustainable business practices because it ignores the private profits created by externalizing human, societal, and environmental costs. This paper proposes a novel reform: applying living wage and externality assessment tools to the rules for establishing where income arises for tax purposes. To do so, I propose a method that is relatively complex but arguably more accurate (in tax terms) and a complementary but relatively simpler proxy method. I examine how each method would implicate treaty-based and domestic rules and processes and conclude that the proposed design provides a viable starting point to make the global tax system support sustainable business practices without running afoul of international standards and without necessarily driving down cross-border investment. Le système fiscal international encourage les pratiques commerciales non durables parce qu’il ne tient pas compte des profits privés créés par l’externalisation des coûts humains, sociétaux et environnementaux. Cet article propose une réforme novatrice : l’application d’outils d’évaluation du revenu de subsistance et des externalités aux règles permettant de déterminer le lieu d’origine du revenu à des fins fiscales. Pour ce faire, je propose une méthode relativement complexe mais sans doute plus précise (en termes fiscaux), ou alors une méthode de substitution complémentaire mais relativement plus simple. J’examine comment chaque méthode impliquerait des règles et des processus nationaux et fondés sur des traités, et je conclus que la conception proposée constitue un point de départ viable pour que le système fiscal mondial soutienne les pratiques commerciales durables sans enfreindre les normes internationales et sans nécessairement faire diminuer les investissements étrangers

Robust Informatics Infrastructure Required For ICME: Combining Virtual and Experimental Data

With the increased emphasis on reducing the cost and time to market of new materials, the need for robust automated materials information management system(s) enabling sophisticated data mining tools is increasing, as evidenced by the emphasis on Integrated Computational Materials Engineering (ICME) and the recent establishment of the Materials Genome Initiative (MGI). This need is also fueled by the demands for higher efficiency in material testing; consistency, quality and traceability of data; product design; engineering analysis; as well as control of access to proprietary or sensitive information. Further, the use of increasingly sophisticated nonlinear, anisotropic and or multi-scale models requires both the processing of large volumes of test data and complex materials data necessary to establish processing-microstructure-property-performance relationships. Fortunately, material information management systems have kept pace with the growing user demands and evolved to enable: (i) the capture of both point wise data and full spectra of raw data curves, (ii) data management functions such as access, version, and quality controls;(iii) a wide range of data import, export and analysis capabilities; (iv) data pedigree traceability mechanisms; (v) data searching, reporting and viewing tools; and (vi) access to the information via a wide range of interfaces. This paper discusses key principles for the development of a robust materials information management system to enable the connections at various length scales to be made between experimental data and corresponding multiscale modeling toolsets to enable ICME. In particular, NASA Glenn's efforts towards establishing such a database for capturing constitutive modeling behavior for both monolithic and composites material