Λογότυπο αποθετηρίου

Πλοήγηση ανά Συγγραφέα "Polyviou, Ariana"

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
Α Β Γ Δ Ε Ζ Η Θ Ι Κ Λ Μ Ν Ξ Ο Π Ρ Σ Τ Υ Φ Χ Ψ Ω
Φιλτράρετε τα αποτελέσματα πληκτρολογώντας τα πρώτα γράμματα
Τώρα δείχνει 1 - 1 από 1
  • Μικρογραφία εικόνας
    Τεκμήριο
    Cloud computing adoption decisions: a mixed-method approach to study the influencing factors and decision making process
    (2016-07-29) Polyviou, Ariana; Πολυβίου, Αριάνα; Athens University of Economics and Business, Department of Management Science and Technology; Pramatari, Aikaterini; Kokkinaki, Aggeliki; Pouloudi, Nancy
    This dissertation provides a mixed-method (qualitative and quantitative) approach for the investigation of cloud adoption decisions, spanning across two concurrent research streams, to address two complementary research questions. The first research question focuses on the cloud adoption decision-making process followed in organizations. The second research question focuses on the factors influencing cloud adoption when adopting cloud services in a specific business area. The two research questions build on the findings of two exploratory preliminary studies.The first research stream, represented by the main qualitative study of this dissertation, aims at analytically decomposing the cloud adoption decision making process into its constituent parts. It employs sense making theory as its lens and, by drawing on interviews with CIOs and CEOs/Directors, it theorizes the process of cloud adoption sense making as phases, cycles and features. The analysis of the data leads to the identification of these patterns followed by decision makers when considering cloud adoption. It also elaborates on the variations of the patterns for organizations of smaller size without an IT department and for the case of rejecting the cloud. The second research stream, represented by the main quantitative study, aims at investigating cloud adoption factors when cloud adoption concerns a specific business area. By employing the theories of diffusion of innovation and organizational capabilities, it formulates a research model examining the impact of cloud’s relative advantage and organizational innovativeness on the decision to adopt cloud when considering a specific business area of the organization. The findings of the study show that impact of factors such as ‘remote access’, ‘cost reduction’ and ‘personnel innovativeness’ on cloud adoption is significant whereas ‘security concerns’ and ‘managerial innovativeness’ are not statistically significant.