Analysis of the expanded innovation model based on Rogers' innovation model on e-business user companies and decision support system software

In this study, two research models are developed and implemented that analyze the effects of the innovation and organizational characteristics in literature on the rates of adoption by electronic business application users. Initially, innovation characteristics models in the literature have been used and factor analysis has been run to analyze which of these characteristics influence users' rate of application adoption by 403 ERP application users. Later a new research model that includes both innovation characteristics and organizational characteristics has been measured on the same sample and it was analyzed which characteristics influence the rates of ERP application users' adopting the application with the help of factor analysis. In order to bring more depth to the study, users in the sample have been divided into 10 categories. How the characteristics in both existing model and new model have been divided into categories has been again analyzed with factor analysis. By this means, the study, which is thought to be a dynamic one, has been cleared of rigidity in literature. According to control the consistency of factor analysis, same data set is performed with Self Organizing Maps (SOM) method and characteristic groupings are analysed under categorizations with the help of this method. A decision support software whcih is called InoApp has been developed with Delphi programming language with the integration of all findings from analysis.