Management

Aiming to Create Green AI

Aiming to Create Green AI

Putting a focus on AI energy efficiency and minimizing the CO2 footprint of AI-based systems
Marcus Grum ORCID Icon, Maximilian Ambros ORCID Icon, Marcel Rojahn ORCID Icon
Reducing CO2 emissions is one of the most urgent tasks of our time. Simultaneously, artificial intelligence is developing rapidly. However, AI often brings about its own significant CO2 impact. Experimental testing of Green AI strategies is therefore crucial for their long-term success. A management tool can support this process so that both users and managers can make optimal use of AI as a tool.
Industry 4.0 Science | Volume 40 | 2024 | Edition 6 | Pages 18-30 | DOI 10.30844/I4SE.24.6.18
AI-Assisted Work Planning

AI-Assisted Work Planning

Extracting expert knowledge from historical data for streamlined efficiency and error mitigation
Jochen Deuse ORCID Icon, Mathias Keil, Nils Killich, Ralph Hensel-Unger
Global competitive pressure is forcing companies to use resources efficiently, especially in high-wage countries. This is further intensified by market and legislative pressure for sustainable products and processes. In the face of digital and ecological change, holistic approaches to optimizing manual work processes are essential. An AI-supported assistance system for work plan creation is intended to remedy this and thus enable more efficient process design.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 74-80 | DOI 10.30844/I4SE.24.5.74
Transforming Under Pressure

Transforming Under Pressure

An analysis of coping strategies along the value chain in agriculture
Niklas Obermann ORCID Icon, Saskia Hohagen ORCID Icon, Uta Wilkens ORCID Icon
The transformation in production offers the chance to redesign existing value chains. Cooperation between various ecological, social and governmental stakeholders is seen as particularly key to sustainable development. However, little research has been conducted into how companies can best manage the resulting interdependencies. Agriculture is used as an example to examine how businesses can activate resources along the value chain.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 99-106 | DOI 10.30844/I4SE.24.5.99
Leadership in Transition

Leadership in Transition

Transformational and shared leadership in the context of virtual collaboration
Christina Mayer ORCID Icon, Susanne Mütze-Niewöhner, Verena Nitsch ORCID Icon
Advances in information and communication technology (ICT) are opening up new opportunities for virtual collaboration. Shared leadership is a promising modern concept for overcoming challenges in the areas of communication, knowledge sharing and company loyalty. Empirical findings on shared leadership in virtual teams can shape recommendations on how successful leadership can support the virtualization of teamwork.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 107-113 | DOI 10.30844/I4SE.24.5.106
Digital Transformation and Serious Gaming

Digital Transformation and Serious Gaming

Identifying success factors for smart factories
Maria Freese ORCID Icon, Melanie Kessler ORCID Icon, Julia Arlinghaus ORCID Icon, Eike Maaß
Digital technologies are crucial for the competitiveness and innovative capacity of industry. While Industry 4.0 strives for greater efficiency through the intelligent networking of people, machines and information systems, the concept of Industry 5.0 focuses on people—and defines their well-being and identification capabilities as crucial to the success of digitalization. An analysis of their success factors can only help.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 114-121 | DOI 10.30844/I4SE.24.5.114
Digital Solutions for SMEs’ Circularity Transition

Digital Solutions for SMEs’ Circularity Transition

Examples from the textile industry
Markus Winkler, Dieter Stellmach, Guido Grau, Marcus Winkler, Meike Tilebein ORCID Icon
The EU Strategy for sustainable and circular textiles aims to reduce the industry’s environmental impact while at the same time increasing its competitiveness. In this transition towards circularity, firms in the highly fragmented textile value chains need solutions that help overcome barriers and provide support. This paper presents digital solutions that are particularly suited for SMEs and that have been developed with public funding. It aims at encouraging SMEs, not only from the textile industry, to specify their individual transition paths towards circularity and to use digitalization to foster implementation.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 26-33 | DOI 10.30844/I4SE.24.5.26
Pathways to Responsible Use of AI at Work

Pathways to Responsible Use of AI at Work

An organizational change perspective
Valentin Langholf ORCID Icon, Uta Wilkens ORCID Icon, Daniel Lupp ORCID Icon, Niklas Obermann ORCID Icon
The integration of AI in Industry 4.0 is steadily increasing. Applications include both single-purpose and generative AI systems in operation practices as well as training approaches. In addition to the technical challenges posed by these systems, organizations need to assess, plan and support the organizational changes associated with technology integration.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 58-66 | DOI 10.30844/I4SE.24.5.58
Success Criteria for Innovations as a Management Concept in the Context of Industry 4.0: Theoretical Approaches and Their Implementation in Six Selected Companies

Success Criteria for Innovations as a Management Concept in the Context of Industry 4.0: Theoretical Approaches and Their Implementation in Six Selected Companies

Theoretische Ansätze und deren Umsetzung bei sechs ausgewählten Unternehmen
Boris Zimmermann, Lisa Gutermuth, Louis Spigarski, Noah Philipp Dörmer, Philipp Knauf
Auf Basis von 36 aktuellen Literaturquellen wurden zehn Erfolgskriterien für Innovationen ermittelt. Die am häufigsten genannten Erfolgsfaktoren sind dabei zum einen das Verständnis gelebter Innovation als fester Teil der Unternehmenskultur und deren feste Verankerung auf der strategischen, taktischen und operativen, sowie die gezielte Förderung von Kundenorientierung in allen Abteilungen. Mitarbeiter von sechs ausgewählten Unternehmen wurden in persönlichen Interviews befragt, inwieweit diese Kriterien erfüllt worden sind. Aus diesen Erkenntnissen werden Best-Practice-Ideen zur Entwicklung einer optimalen Innovationskultur im Unternehmen abgeleitet.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 6 | Pages 22-26 | DOI 10.30844/IM_23-6_22-26
Digital Transformation for SMEs

Digital Transformation for SMEs

Developing a roadmap for Industry 4.0 visions in small and medium-sized enterprises
Robin Sutherland ORCID Icon, Nicolas Wittine ORCID Icon, Deike Gliem ORCID Icon, Sigrid Wenzel ORCID Icon
Small and medium-sized enterprises still face the challenge of shaping their digital transformation. Maturity models offer a way to capture the situation within a company and support the formation of an Industry 4.0 vision. This paper presents a methodology that companies can use to develop a roadmap for shaping digital transformation by enabling the transfer of this vision into concrete decision-making steps.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 4 | Pages 59-62 | DOI 10.30844/IM_23-4_59-62
Leveraging Data Treasures, Protecting Data Privacy

Leveraging Data Treasures, Protecting Data Privacy

Adding value with secure AI solutions
Detlef Houdeau
Artificial Intelligence (AI) can make a major contribution to the future viability of our economy and society—whether by improving existing processes or new products and services that promise greater efficiency, more robust structures and more climate protection. At present, however, SMEs in particular are still reluctant to use AI systems. The frequently cited reason is that data protection hurdles appear to be too high. This article discusses the opportunities of data-based value creation. The central question is how AI applications in industry can generate economic added value from data while maintaining data protection and security.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 24-27
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