Designing and empirically testing the digital model for evaluation of organizational development for executives
ENThere is a need for study on effective organizational development (OD) methodologies that can unify the measures, considering the management context. The purpose of this research – to develop the digital model for evaluation of OD for executives using artificial neural networks. Quantitative estimation of indicators was carried out using Artificial Neural Network (ANN) system’s tools for comparative analysis of American and Finnish organizational development methodologies. The research is representing identified indicators, integrated to the digital OD evaluation model. The set of indicators were digitalized for usage in artificial neural networks. An innovative intersection for the classification of indicators is presented. Research results will provide leaders with a digital model to evaluate OD and contribute to building leadership capacity in any country. Keywords: evaluation, organizational development, indicators, artificial neural networks.
