Evaluation of Reliability and Consistency of a new Model for Organizational Interoperability Assessment

Abstract

The achievement of organizational interoperability is a crucial factor for the successful digital transformation and a catalyst for Digital Decade’s 2030 main targets. The aim of this article is to develop and test a new conceptual model of organizational interoperability assessment. A new model to assess in an effective, holistic way the organizational interoperability of digital services has been developed, using a mixed qualitative and quantitative approach, based on literature research and feedback from experts in the field, composing a valid and effective model for evaluating the achievement of organizational interoperability. The developed model consists of 9 factors and 34 variables and is evaluated in terms of statistical reliability, relevance, and coherence of factors and variables. The evaluation of the model in terms of reliability and internal consistency is achieved through data collected from a sample survey responded to by 112 domain experts. The collected data analyzed with the aid of descriptive and inductive statistical methods such as Cronbach’s Alpha coefficient and Factor analysis, from which resulted alpha= 0.869 for the total interoperability scale, which is satisfactory enough, as well as the total variance explained from the Factor Analysis found to be 60% or higher, resulted in a well-established model in statistical terms.