Abstract
AbstractSoftware Defined Networking (SDN) is a new paradigm that has shown significant advantages and increased profit for the private network industry. Research and Educational Networks (RENs) started adopting SDN, but there is a lack of understanding of the factors persuading RENs to adopt SDN. The goal of this study is to examine how the SDN technology factors (e.g., advantage, compatibility, testability, observability, complexity, and IT security risk) facilitate RENs’ adoption of SDN. A research model was developed based on the Diffusion of Innovation theory. The study used a positivist approach and collected 216 survey data. The Structural Equation Modeling Partial Least Square (SEM-PLS) was used to analyze the data and the results showed that relative advantage, compatibility, and observability had significant positive effects on the adoption of SDN by RENs. The complexity and testability of the SDN technology did not show significant effects. IT security risk had a positive effect on complexity and a negative effect on SDN adoption. This study provides insights on SDN adoption decision making when it comes to implementing SDN or not in newly formed RENs.KeywordsSoftware Defined Networking (SDN)Research and Educational Networks (RENs)AdoptionSecurityPartial Least Squares (PLS)
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