Abstract. In today's dynamic environment all organizations need up-to-date knowledge for their operations that are based on business processes. Complex organizations use business process management (BPM) tools to model and manage these processes. BPM applications tends to model the organizational processes, together with the required information and other resources needed to perform each activity. BPM yields an overall context, but it is still static.Our paper presents a solution to extract, organize and preserve knowledge embedded in organizational processes to enrich organizational knowledge base in a systematic and controlled way utilized in the PROKEX project. The proposed solution is to extract the knowledge from information stored in the process model in order to articulate, externalize and transfer it. Our paper focuses on the BPM aspects of the solution as we want to investigate it from the information systems perspective.The novelty of the solution is based on the connection between process model and corporate knowledge base, where the process structure will be used for building up the knowledge structure. Common form of knowledge base is the ontology, which provides the conceptualization of a certain domain. By using the ontology and combining it with the process models, we connect knowledge management and business process management in a dynamic, systematic and well-controlled solution.
In Industry 4.0 a lot of jobs will be replaced by machines due to the technological revolution. Digital transformation entails new skills required to possess by people. This paper presents a solution to create data warehouse to assess future job skills based on the actual industrial business processes. The solution collects time series data from job portals and transforms them into the data warehouse to analyse skill sets. The structure of the data warehouse and the algorithm of extracting data from job vacancies have been introduced.
Abstract. With a steady increase of requirements against business processes, support of compliance checking is a field having increased attention in information systems research and practice. Compliance check is vital for organizations to identify gaps, inconsistency and incompleteness in processes and sometimes it is mandatory because of legal, audit requirements. The paper gives an overview about our research and development activities in the field of compliance checking with the help of semantic business process management (SBPM). We propose a compliance checking approach and solution, illustrated with a use case from higher education domain.
Higher education has a number of key roles to play in accelerating progress toward sustainability goals. It has a responsibility to provide and teach curricula that are tailored to labor market needs, to help change people’s attitudes and motivation toward sustainability, and to reduce inequalities between different students. Course leaders and developers of curricula should monitor and assess these needs in order to improve their curricula from time to time. In the present work, we describe a data-driven approach based on text-mining techniques to identify the competences required for a given position based on job advertisements. To demonstrate the usefulness of our suggested method, the supply chain management occupation was selected as the supply chain is a constantly changing domain that is highly affected by green activities and initiatives, and the COVID-19 pandemic strongly influenced this sector, as well. This data-driven process allowed the identification of required soft and hard skills contained in job descriptions. However, it was found that some important concepts of green supply chain management, such as repair and refurbishment, were only marginally mentioned in the job advertisements. Therefore, in addition to labor market expectations, a business process model from relevant green supply chain management literature was developed to complement the required competences. The given new techniques can support the paradigm shift toward sustainable development and help curriculum developers and decision makers assess labor market needs in the area of sustainability skills and competences. The given result can serve as an input of outcome-based training development to design learning objective-based teaching materials.
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