Tine Bertoncel

TL;DR: A profile of Industry 4.0 job advertisements is developed using text mining on publicly available job advertisements, which are often used as a channel for collecting relevant information about the required knowledge and skills in rapid-changing industries.

TL;DR: In this article, the authors used semi-structured group interviews to investigate how managers at a smart factory, a highly innovative global supplier in the automotive industry sense weak signals, perceive the role of intuition, smart systems and business model adjustments.

TL;DR: In this article, the authors presented the best practices which show how could social innovations, together with the advanced technology also lead to the several democratic changes in the urban environment, and concluded that it will in many ways reorganize public decision, create changes in democratic processes that are in accordance with socioeconomic and technological development, and will represent the basis for the emergence of the so-called smart social community and the ensuing novel processes of organization and operation.

TL;DR: In this paper, a four-stage managerial early warning system model for a knowledge-based automotive smart factory is proposed, in which aggregate activities and management decision-making strategies are defined for each stage, with the importance of intuition being taken into consideration.

TL;DR: The results indicate that there is a significant difference between selected European countries according to the overall usage of big data in their enterprises, and enterprises with stronger internal big data expertise also have a better chance of building strong competitiveness based on big data utilization.