Adaptability, Change Management

I4S 5/2026: Organizing Work and Securing Expertise Through AI

How we make industrial work and organizational processes more resilient with AI

Germany faces a unique challenge: The strength of its economy is rooted in education and specialized knowledge. However, artificial intelligence is transforming precisely this knowledge-based work. Diagnosis, decision-making, and optimization are increasingly shaped by the interplay between humans and AI. As a result, AI proficiency is becoming a competitive factor, although specialized expertise—the foundation of industrial performance—must not be lost. This issue explores the potential of AI in production and development, as well as the requirements for AI-based knowledge management. How can companies integrate AI into work and organizational processes in a way that fosters sustainable differentiation and creates adaptive organizations?

All articles at a glance

Access limited

You are currently not logged in / not yet registered.

In order to download the desired file(s), you must be logged in and have an appropriate inclusive subscription. Alternatively, you can also obtain access by paying a one-off fee.



SubscriptionincludedPurchase
without59,00 €
Digital56,05 €
Expert0,00 €
Professional0,00 €
Download for one time 59,00 €

All prices include 7% VAT

After purchasing access rights, you will automatically be redirected back to this page.


You might also be interested in

I4S 4/2026: Dynamics of Digitally Networked Value Creation Systems

I4S 4/2026: Dynamics of Digitally Networked Value Creation Systems

The whole is greater than the sum of its parts—exploring digital ecosystems together
Digital platforms and data spaces are transforming industrial value creation and creating new opportunities for cross-organizational collaboration. At the same time, new requirements are emerging regarding data sovereignty, security, and governance. This issue of Industry 4.0 Science provides insights into the DynaVer research program, in which 15 interdisciplinary projects are investigating the dynamics of digitally networked value creation systems.
I4S 1/2026: Applied AI Ethics in the Workplace

I4S 1/2026: Applied AI Ethics in the Workplace

A shared responsibility — from radiology and speech therapy to assembly
AI ethics in the workplace is everyone’s responsibility. It requires accountability from companies as a whole and conscious action from individuals—whether developers or users, managers or employees. Key issues revolve around ethical AI skills and questions of governance and employee representation. How will the world of work change, from radiology and speech therapy to assembly and quality control?
I4S 2/2025: The Future of Production with AI, Cobots and Virtual Worlds

I4S 2/2025: The Future of Production with AI, Cobots and Virtual Worlds

Technology needs innovative, value-adding business models
Artificial intelligence, collaborative robotics, and virtual worlds, such as the metaverse, are fueling visions for new forms of industrial value creation. However, innovation alone is not enough—given that these technologies only develop their full potential through intelligent business models. How can companies efficiently integrate AI-supported automation, cobots and digital twins into their processes?
I4S 5/2024: Double Transformation

I4S 5/2024: Double Transformation

Integrating digital and ecological change in the world of work
Change is necessary for companies to maintain their competitive edge—both digital and ecological change. But while external support is at hand, the drive for change must come from companies themselves. In this issue of Industry 4.0 Science, experts of the Academic Society for Work and Industrial Organization discuss how the real-world application of innovative technologies lead to resource-efficient manufacturing.