Towards Systematic Reflection of Data, Information, and Knowledge
Currently available business process modeling notations do not provide an opportunity to clearly distinguish between data, information and knowledge. The problem lies mainly in a still not fully agreed-upon understanding of relationship between the notions data, information, and knowledge. Therefore in this paper we focus on the analysis of this relationship by investigating intersection of modern information theory assumptions and knowledge management definitions of information and knowledge. The results are expressed as new graphical notation for knowledge, information, and data flow systematic reflection in business process model.
Inese Šūpulniece, Anna Boguševiča, Aleksandra Petrakova and Jānis Grabis
Enterprise resource planning (ERP) systems are targeted for managing operational data and improving business efficiency, while their complex interfaces challenge this goal. The purpose of this study is to examine user attitude towards ERP system’s usability in Latvian medium, small and micro-sized enterprises. It is part of a broader European users’ study, which aims at designing and creating innovative and trendsetting user interface and interaction concepts for ERP systems.
Enterprise applications are aimed at managing enterprise operational data and improving business efficiency. Many enterprise applications have been developed over the past three decades, therefore, known as legacy systems. Usually, they are monolith, inflexible, poorly documented and hard to maintain. The purpose of this paper is to describe best practices and limitations for enterprise application decomposition based on the results of the systematic literature review in order to introduce an approach for enterprise application decomposition. The paper focuses on decomposition of large-scale systems using clustering methods. The investigation is performed as part of the university-industry collaboration research project.