What is the future of competitive programming
Digital business models secure the future - it doesn't work without the appropriate skills!
The corona crisis has further increased the relevance of digitization and digital business models for maintaining competitiveness. According to a survey of company representatives in 2019, 87.7 percent of those surveyed saw digital, data-driven business models as a key competitive factor for their future *. “These new digital business models and the associated digitization measures are changing the way companies work and are leading to new skills requirements. The continuous development of technical know-how in particular should therefore be a central point in the future, "says Nicole Ottersböck, scientific expert at the ifaa - Institute for Applied Work Science e.V.
Düsseldorf, June 15, 2020
The survey results of the current IW-MINT-Report * show that innovations and the implementation of data-driven business models are essentially hampered by a lack of technical experts. The research project "AnGeWaNt - work on calibrated scales for hybrid weighing services on commercial vehicles", which is headed by the ifaa, addresses this issue and develops solutions for the operational and needs-based development of skills in the companies.
Hybrid business models increase complexity and require new know-how
The development of data-driven business models in the three user companies of the AnGeWaNt research project is accompanied by a socio-technical approach that takes into account the needs of the companies and those of the employees. The company's current physical products are to be supplemented by data-based services in the future. These new offers require a variety of changes in the companies, as the first results from the workshops with the companies show. In particular, the need for technical skills (e.g. data analysis, programming, setting up complex IT infrastructures) and the use of transformative technologies will increase. Particularly in the company's sales areas, increasing needs for skills and an increase in complexity are expected, which can lead to challenges.
What else is needed: salespeople become process experts
The activities in the sales areas will change particularly significantly. In addition to actually selling products, sales employees will have to sell the added value of product usage data in the future. This assumes that they understand the processes of the customers as well as their current problems and have to have more comprehensive advisory skills. Knowledge of data protection and security is also required so that customers' questions in this regard can be adequately answered. Technology is getting more and more complex! Therefore, intermediaries or those responsible for so-called “tech translation” are needed in the company. Their competence should be to be able to transfer technical content to the non-technical areas of the company as easily as possible in a way that is appropriate for the target group.
What to do: Development of new competence profiles and adapted learning concepts
In the three user companies, the business models are currently being concretized with the involvement of employees from sales. Because these bring the customer perspective with them. In addition, the cross-departmental communication with the development department in these workshops. already contributes to the technical development of the employees in sales. The exchange directly awakens an understanding of the potential added value of the data-based business models for customers.
By means of a requirements analysis, competence profiles for the future are developed with employees from the sales areas. Building on the results, skills gaps are identified and needs-based learning concepts that close these gaps are developed.
The research and development project AnGeWaNt is funded by the Federal Ministry of Education and Research (BMBF) and the European Social Fund (ESF) as part of the "Future of Work" program (funding code: 02L17B050) and is supervised by the Karlsruhe Project Management Agency (PTKA) the content of this publication lies with the authors.
Further information on the project can be found on the project website www.angewant.de
* https: //www.iwkoeln.de/fileadmin/user_upload/Studien/Gutachten/PDF/2020/MINT-Fruehjahrsreport_2020.pdf
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