Authors: | Anagnostopoulos, Theodoros Ntanos, Stamatios Gkika, Eleni Kyriakopoulos, Grigorios |
Issue Date: | 9-Jun-2020 |
Journal: | Journal of Open Innovation: Technology, Market, and Complexity |
Volume: | 6 |
Issue: | 2 |
Keywords: | Cloud computing, Open innovation, Support vector machine, SVM classifier, Technology acceptance model, Technology driven innovation |
Abstract: | Cloud computing hastens technology driven innovation by taking advantage of the speed, the cost-effectiveness, the efficiency and the security that such applications offer. By using cloud computing, public organizations can exploit the economies of scale and innovate both efficiency and rapidly. The present study focuses on the factors influencing the adoption of a new technological application within the procedures of change management. It examines the willingness to adopt cloud computing for the case of administrative employees in a higher education institute working environment. A prediction model explores a Ubiquitous cloud computing adoption system (USAS), utilizing the theory of technology acceptance model (TAM) and resulting that end users are welcoming the adoption of the cloud computing. Policy makers should move towards empowering the stakeholders with e-skills to stimulate technology driven innovation, resulting in improvements in effectiveness and efficiency, in the creation of new jobs and in the promotion of sustainable development practices. |
ISSN: | 2199-8531 |
DOI: | 10.3390/joitmc6020041 |
URI: | https://uniwacris.uniwa.gr/handle/3000/1879 |
Type: | Article |
Department: | Department of Business Administration |
School: | School of Administrative, Economics and Social Sciences |
Affiliation: | University of West Attica (UNIWA) |
Appears in Collections: | Articles / Άρθρα |
CORE Recommender
SCOPUSTM
Citations
19
checked on Nov 19, 2024
Page view(s)
21
checked on Nov 23, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.