transformation

In the context of Industry 4.0, learning factories are important places for company-based learning. Studies show that they have continued to develop since their emergence and are no longer limited to vocational and academic education. This leads to the question of how much the concept of the learning factory represents an innovative approach to further training in small and medium-sized enterprises (SMEs). This article focuses on three selected learning factories relevant to continuing education that were analyzed using qualitative methods with regard to their concepts and cooperation. The findings are embedded in a theoretical framework that links the scientific discussion on learning locations and educational cooperation. The empirical findings from three learning factories illustrate relevant learning locations for continuing education in SMEs.

Artificial intelligence (AI) is the next stage in the digitalization of the economy. The technology also offers great potential for small and mediusized enterprises (SMEs). However, many SMEs are still reluctant to introduce AI and are only at the beginning of digitization: only around one fifth of all SMEs in Germany have thoroughly digitized their own processes and departments. What does this mean for the use of AI in companies? What steps should businesses take now to take advantage of the opportunities AI offers? And what stumbling blocks should be avoided? This article presents practical implementation concepts for companies with different levels of digital maturity and AI deployment capabilities and shows the range of potential benefits of AI applications in different industries and with different value creation architectures in medium-sized companies.

Complexity does not emerge from the drawing-board. Complexity evolves through the permanent attempt of an organization to emerge and distinguish itself from the competition. Complexity penetrates a company on many different levels. The battle to control and, if possible, reduce expensive complexity can not be won by just putting up concepts. What is the best concept good for if the corporate management can not realize it? In practice we observe many executives lacking in pragmatic, down to earth approaches. Most managers are not aware of that. Our experience taught us the following: Initiatives for complexity-reduction are successful when continuous, real-time and action-oriented management information-systems are in use during and after the transformation process. The relevant complexity indicators have to be transferred to management and staff. Both must work proactively to reach the goal of complexity reduction. Last but not least all assigned actions for complexity-reduction have ...