Details
| Original language | English |
|---|---|
| Pages (from-to) | 1-17 |
| Number of pages | 17 |
| Journal | Journal of Innovation Management |
| Volume | 11 |
| Issue number | 1 |
| Publication status | Published - 4 Apr 2023 |
Abstract
For a long time, the business activities of industrial companies in mechanical engineering, plant construction or the automotive industry focused on products and product-related services. Digital pioneers have refined these products, such as machinery, equipment, and devices with data-driven services, which they make available worldwide via digital platforms. This emerging trend influences existing and future business models of all companies. This transition from product-related, single-sided markets to platform markets is characteristic of the digital age. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well-filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business models in the industry by providing practical examples of business model innovations in three industries.
Keywords
- Artificial Intelligence, Business Model Innovation, Business Process Reengineering, Construction Industry, Digital Transformation, Machine Learning, Manufacturing Industry, Railway Industry, Smart Data
ASJC Scopus subject areas
- Engineering(all)
- Engineering (miscellaneous)
- Business, Management and Accounting(all)
- Management of Technology and Innovation
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In: Journal of Innovation Management, Vol. 11, No. 1, 04.04.2023, p. 1-17.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Business Model Innovation in the German Industry
T2 - Case Studies from the Railway, Manufacturing and Construction Sectors
AU - Winter, Johannes
N1 - Funding Information: The in-depth interviews were transcribed and analysed using 'Qualitative Content Analysis' (Glaeser et al., 2004). The article is based on results from two research and accompanying projects conducted at acatech - German Academy of Science and Engineering and funded by the German Federal Ministry for Economic Affairs and Energy (acatech, 2016) and the German Federal Ministry of Education and Research (acatech, 2023), respectively. Funding Information: The author would like to thank the anonymous reviewers for their helpful comments on a draft of this paper. This study incorporates results from the Platform for Self-Learning Systems project (09/2017-12/2025), funded by the German Federal Ministry of Education and Research. The author declares no conflict of interest in terms of the design of the study, the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results
PY - 2023/4/4
Y1 - 2023/4/4
N2 - For a long time, the business activities of industrial companies in mechanical engineering, plant construction or the automotive industry focused on products and product-related services. Digital pioneers have refined these products, such as machinery, equipment, and devices with data-driven services, which they make available worldwide via digital platforms. This emerging trend influences existing and future business models of all companies. This transition from product-related, single-sided markets to platform markets is characteristic of the digital age. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well-filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business models in the industry by providing practical examples of business model innovations in three industries.
AB - For a long time, the business activities of industrial companies in mechanical engineering, plant construction or the automotive industry focused on products and product-related services. Digital pioneers have refined these products, such as machinery, equipment, and devices with data-driven services, which they make available worldwide via digital platforms. This emerging trend influences existing and future business models of all companies. This transition from product-related, single-sided markets to platform markets is characteristic of the digital age. The speed at which business models must change continues to be underestimated by many market participants, especially when order books are well-filled and the pressure to change appears to be low. Industrial and service companies need to adapt to the changes induced by new market players to secure future business success and remain competitive in the digital age. The aim of this article is to intensify the debate on digital business models in the industry by providing practical examples of business model innovations in three industries.
KW - Artificial Intelligence
KW - Business Model Innovation
KW - Business Process Reengineering
KW - Construction Industry
KW - Digital Transformation
KW - Machine Learning
KW - Manufacturing Industry
KW - Railway Industry
KW - Smart Data
UR - http://www.scopus.com/inward/record.url?scp=85160922171&partnerID=8YFLogxK
U2 - 10.24840/2183-0606_011.001_0001
DO - 10.24840/2183-0606_011.001_0001
M3 - Article
AN - SCOPUS:85160922171
VL - 11
SP - 1
EP - 17
JO - Journal of Innovation Management
JF - Journal of Innovation Management
IS - 1
ER -