A System Model of Value Acquisition Based on Innovative Economics in Knowledge-Based Businesses in the Field of Information Technology

Purpose: This study aims to present a systems model of Value Acquisition based on innovation economics in knowledge-based businesses in the field of information technology. Methodology: Beside the review of Literature, in order to further enrich the data gathering process, in-depth interviews were conducted with 12 experts in the field of information technology and consequently the most important dimensions and components were identified. Then, a questionnaire was designed and made available to 103 specialists and managers of knowledge-based businesses in the field of information technology. Adaptive neural-fuzzy inference system (ANFIS) was used to validate the predicted model. Findings: Results show that the most important dimensions affecting value acquisition based on innovation economics in knowledge-based businesses in IT domain fall into the following order of importance: business and market, innovation economics, value acquisition, information technology resources, information technology, innovation in information technology, security and law. Also, due to the amount of errors observed and the lack of meta-adaptation phenomenon in the designed ANFIS, the model has acceptable validity and high predictive power. Originality: Presenting a systems model which includes the most important dimensions and components of value acquisition based on innovation economics, this research can help policy makers and managers involved in knowledge-based businesses in the field of information technology.