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ABSTRACTThe information system (IS) field lacks a scientifically based analytical tool for rapid delivery of IS due diligence. In 2013, a framework for IS due diligence (FISDD) was published. The work on this framework was continued with proceeding development and evaluation. One of the most important objectives of today’s business is making savings concerning various resources. The main novelty of the upgraded framework is the replacement of some of the manually conducted questionnaires with web-based questionnaires. This novelty reduces the total time required for on-site ISDD activities by 35–50%, as has been the result of several real cases. The results demonstrate and confirm the usefulness of upgrading FISDD, which increases its efficiency in DD processes, which is the main contribution of this article.

Abstract.Fraud in motor insurance is assessed to incur annual losses in the range of 100 billion dollars. While much research exists in the fraud management field, majority only deals with partial problems and presupposes the independence of specific fraud management activities. Researches on components of fraud management system are rarely explicitly related to business performance improvements. These results in a common problem, which can be observed on the practitioners’ side: only small amount of companies can objectively assess which of the many fraud management system components proposed by researchers and vendors will help to solve their problems in fraud management. The method proposed in this paper can be used as a strategic tool for improvement of fraud management process in motor insurance companies. The method is designed to be used for a selection of fraud management system components, and is based on business performance. The input for the method is a set of key performance indicators that an insurance companies wish to improve. The result is a set of activities, which should be improved, and a set of fraud management system components that should be used to improve these activities. The paper presents and explains the method and its components. The method components have been developed based on the data received from Slovenian motor insurance companies and method is evaluated in three case studies.