May 2015· Journal of Systems and Software· Vol 103, pp. 167-181· 111 citations· ⚡ 8 influential· 81 references
Computer ScienceBusiness
TL;DR
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Abstract
In the context of cloud computing, risks associated with underlying technologies, risks involving service models and outsourcing, and enterprise readiness have been recognized as potential barriers for the adoption. To accelerate cloud adoption, the concrete barriers negatively influencing the adoption decision need to be identified. Our study aims at understanding the impact of technical and security-related barriers on the organizational decision to adopt the cloud. We analyzed data collected through a web survey of 352 individuals working for enterprises consisting of decision makers as well as employees from other levels within an organization. The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability. The result from our logistic regression analysis confirms the criticality of the security concern, which results in an up to 26-fold increase in the non-adoption likelihood. Our study underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Environmental trust, fostered by confidence in cloud providers and regulatory clarity, emerged as the most influential factor, encouraging a sense of security and optimism about digital transformation.
Moses Osareme Bernard, Sukhen Dey· International Journal of Clo...· 0 citations
Examination of critical factors influencing cloud computing adoption using a framework based on technological, organizational, and environmental dimensions indicates that cloud computing improves scalability, resource utilization, collaboration, business continuity, and decision-making while reducing operational and ma...
Priya Kapoor· International Journal of Inn...· 0 citations
It is concluded that strengthening technology readiness through improved ICT infrastructure, institutional capacity, and technical competencies is essential for accelerating cloud computing adoption in Tanzanian Higher Learning Institutions.
Thomson Sanga· Journal of Policy and Develo...· 0 citations
The present research investigates the factors associating with the adoption rate cloud computing among employees working in the three different sectors IT services, Finance and Manufacturing located in Andhra Pradesh, India. The study applied the random sampling technique on sample size ${N} = {1 9 8}$ adopting the tec...
Anu Priya George, N. Subash, Valantina Stephen et al.· International Conference on...· 0 citations
The study concluded that the successful adoption of big data by SMEs is possible if there is integration between the various dimensions of the TOE framework and information quality, particularly in the areas of management and organization.
Mohammed Nassoura, Nabil Abudarwish Zarqa, M. Al-Momani et al.· International Journal of Adv...· 0 citations
This chapter concludes that successful adaptation depends less on the platform's technical capability and more on organisational readiness, staff training, financial literacy, trust, and structured change management sustained beyond initial implementation.
A. P, Ramya Hp· International journal of res...· 0 citations
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.