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  4. Framework for the Introduction of Data-driven and Service-oriented Business Models in Mechanical and Plant Engineering Companies
 
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2024
Journal Article
Title

Framework for the Introduction of Data-driven and Service-oriented Business Models in Mechanical and Plant Engineering Companies

Abstract
The current literature on the topic of data-driven and service-oriented business models (BM) is rich on frameworks describing strategic and organizational impediments, challenges, and solutions. Nevertheless, there is a lack on frameworks that provide a structured guidance for mechanical and plant engineering companies to implement those BM into their organization. This paper aims to close this gap in developing a comprehensive framework. Using the design science research (DSR) approach we conducted a systematic literature review and semi-structured expert interviews to gather strategic and organizational challenges and pertinent frameworks. These findings were converted into requirements to evaluate existing frameworks. From the evaluation, an action delta was derived as a starting point for the development of an artefact. The result of this artefact is the framework TriProGenix, which is designed to assist mechanical and plant engineering companies in developing and implementing data-driven and service-oriented BM. TriProGenix consists of four development levels, in which changes must be undertaken for an effective and efficient adoption: Strategy, Resources, Structure & Ecosystem, and Culture. With the use of a procedural model, the company is guided through the development levels. For further support throughout the process certain methods are provided, including strategy analysis, organizational analysis, etc. The framework is designed to be a valuable tool for decision-makers, to guide them through the process of BM implementation, offering structured problem-solving to improve decision-making, organizational alignment, knowledge sharing, and adaptability.
Author(s)
Wirth, Jonas
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Erb, Sven
Technische Universität Darmstadt
Hoffmann, Felix
Technische Universität Darmstadt
Metternich, Joachim
Technische Universität Darmstadt
Bauernhansl, Thomas  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Journal
Procedia CIRP  
Conference
Conference on Manufacturing Systems 2024  
Open Access
File(s)
Download (611.69 KB)
Rights
CC BY-NC-ND 4.0: Creative Commons Attribution-NonCommercial-NoDerivatives
DOI
10.1016/j.procir.2024.10.216
10.24406/publica-6096
Additional link
Full text
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • Business Model

  • Data-driven

  • Organizational Transformation

  • Service-oriented

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