The research scope of the paper is prioritization of open innovation determinants in banking industry using an integrated application of qualitative and quantitative methods in the evaluation process. The research methods were implemented to compound the depth of experts' knowledge and experience on the one hand, and the precise mathematical reasoning, on the other, thus creating the objective and accurate basis for effective decision making. The overview of determinants of open innovations in banking industry has been obtained from the literature overview and the Delphi study conducted among 51 experts from banks in Serbia. Fifteen significant determinants within five dimensions were further evaluated through AHP decision-making method to prioritize them toward the development of the open innovation in banking. The research results show that effective application of open innovation in banking lies in formal reinforcement by management to integrate innovation into organizational policies and in designing dual structures that facilitate the initiation and implementation of an innovation, i.e. building an ambidextrous organization. The research findings and results introduced in this paper can be usefully applied and widely used by both academics and practitioners who are interested in applying the open innovation concept in banking industry.

No abstract

Previous research indicates a growing need to address the issue of fraudulent financial research. In addition to financial measures, non-financial measures are those that should be considered in the process of measuring the economic performance of the company. This research points to the importance of an integrated way of measuring the financial performance of a company in assessing the risk of fraud, which implies the application of non-financial performance measures together with financial ones. If there is a difference between non-financial measures and financial performance, this may be a warning sign that there may be a risk of fraud. Research on the application of non-financial measures in improving the risk assessment of fraud is scarce when looking at the Serbian context. Therefore, this research will add value to the existing literature on fraud risk management in financial statements.

In this paper a quantitative PD model development has been excercised according to the Basel Capital