User preferences on cloud computing and open innovation: A case study for university employees in Greece
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

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