Technological innovations are inclining the world of business to restructure actual business processes at the threshold of the fourth industrial revolution. These circumstances create knowledge-intensive organizational, collective and personal learning environments in which ICT tools play a critical role. This paper investigates knowledge creation patterns inherent in the supply chain of companies that operate in a networked environment in the Székesfehérvár region of Hungary. ICT solutions applied in knowledge creation and collaboration with suppliers and customers in the supply chain were studied in this research. One of the main contributions of the paper is the study of knowledge creation patterns in three dimensions: the Socialization – Externalization – Combination – Internalization (SECI) framework, supply chain processes and ICT solutions, which is a unique approach compared with the frameworks from the relevant literature.
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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