Autor: Sascha Stowasser

Frameworks for the Structural Integration of Artificial Intelligence

Frameworks for the Structural Integration of Artificial Intelligence

Comparing organizational approaches
Sascha Stowasser
Artificial intelligence is increasingly implemented in companies, but often without clear organizational anchoring. This article evaluates centralized, decentralized, hybrid, and project-based frameworks for the structural integration of artificial intelligence in corporate organizations. A decision table provides guidance for selecting suitable models. In the conclusion, further open research questions are posed.
Industry 4.0 Science | Volume 41 | 2025 | Edition 5 | Pages 144-151 | DOI 10.30844/I4SE.25.5.138
Double Transformation as the Key to Sustainability

Double Transformation as the Key to Sustainability

Methodology for evaluating an AI application in manufacturing companies
Jennifer Link ORCID Icon, Markus Harlacher, Olaf Eisele, Sascha Stowasser
EU regulations demand more intensive and transparent sustainable practices from companies. Industry needs to adapt many processes and products to take charge of this responsibility. Artificial Intelligence (AI) in particular offers innovative potential. Firstly, however, this technology needs to be evaluated focusing on weak AI—market-ready systems that perform specific tasks using algorithms and data-supported models efficiently.
Industry 4.0 Science | Volume 40 | 2024 | Edition 5 | Pages 82-89 | DOI 10.30844/I4SE.24.5.82
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.
Competence Needs for Hybridization

Competence Needs for Hybridization

An Approach to Identifying Competency Gaps and Need-Based Competency Development for Hybrid Business Models
Nicole Ottersböck, Sascha Stowasser, i
Digitalization and the possibility to use big data give companies the opportunity to establish hybrid business models. This enables them to offer customers smart services in addition to their physical products, create more value and strengthen their competitiveness. The hybridization goes along with new competence requirements, which need to be shaped. In the AnGeWaNt project, hybrid business models were developed and implemented in three companies. This article describes the approach to analyze new competence requirements and how to build up new skills for a successful hybridization
Industrie 4.0 Management | Volume 38 | 2022 | Edition 2 | Pages 49-52
Respond to the Changing Work World with Resilience

Respond to the Changing Work World with Resilience

Operational Measures for Organizational Development
Anika Peschl, Sascha Stowasser
In times of digital transformation, it is important to counteract the associated challenges in the work world. This requires resilience and flexibility on the part of employees. Resilience has a positive effect on the health and performance of individuals. Therefore, organizations should support their employees in developing a positive attitude towards the unknown and increasing complexity, aspects that are often associated with new technologies. In this article, two exemplary corporate actions for organizational development aiming to strengthen the resilience of employees are explained.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 3 | Pages 33-36
Process Model for the Industry 4.0

Process Model for the Industry 4.0

Structured Introduction and Implementation of Digitalizations Measures in the Manufacturing Industry
Simon Hennegriff, Sebastian Terstegen, Sascha Stowasser, Holger Dander ORCID Icon, Patrick Adler
Comparison and evaluation from research findings of 28 process models considering digitalization measures are presented. Furthermore, our own-developed process model, based upon interviews with professional managers, is reported. Our process model enables managers to deal with technology coming along with industry 4.0, such as the implementation of socio-technologies.
Industrie 4.0 Management | Volume 35 | 2019 | Edition 3 | Pages 47-50