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Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0

In: Digital Business Models in Industrial Ecosystems

Author

Listed:
  • Hendrik Birkel

    (Friedrich-Alexander University Erlangen-Nürnberg, Chair for Supply Chain Management)

  • Evi Hartmann

    (Friedrich-Alexander University Erlangen-Nürnberg, Chair for Supply Chain Management)

Abstract

Disruptive technologies in the context of Industry 4.0, such as the Internet of Things, Big Data Analytics, smart devices, or Artificial Intelligence are developing at a rapid pace with an increasing impact on global value creation. Companies are facing major challenges in maintaining an overview of these developments and linking them to other trends. Thus, the aim of this article is the development of a comprehensive trend management process for the structured collection and processing of Industry 4.0 trend information. The process is divided into the steps identification, analysis and evaluation, processing, and preparation and is supplemented by continuous monitoring and improvement through knowledge management. Special attention is paid to the development of Industry 4.0, which enables an automated collection of information through the application of web and text mining, which can significantly improve the preparation of information.

Suggested Citation

  • Hendrik Birkel & Evi Hartmann, 2021. "Development of a Trend Management Process for Supply Chain Management in the Context of Industry 4.0," Future of Business and Finance, in: Kai-Ingo Voigt & Julian M. Müller (ed.), Digital Business Models in Industrial Ecosystems, pages 23-34, Springer.
    • Handle: RePEc:spr:fuobcp:978-3-030-82003-9_2
    DOI: 10.1007/978-3-030-82003-9_2
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