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LINKING DIGITAL B2B PLATFORM BUSINESS MODELS AND PRODUCT DEVELOPMENT: A BIBLIOMETRIC ANALYSIS AND LITERATURE REVIEW

Published online by Cambridge University Press:  19 June 2023

Patrick Brecht*
Affiliation:
Karlsruher University of Applied Sciences;
Daniel Hendriks
Affiliation:
Karlsruher University of Applied Sciences;
Manuel Niever
Affiliation:
Karlsruher University of Applied Sciences;
Carsten Hahn
Affiliation:
Karlsruher University of Applied Sciences;
Felix Pfaff
Affiliation:
Karlsruher Institute of Technology (KIT)
Simon Rapp
Affiliation:
Karlsruher Institute of Technology (KIT)
Albert Albers
Affiliation:
Karlsruher Institute of Technology (KIT)
*
Brecht, Patrick, Karlsruher Institute of Applied Sciences, Germany, patrick.brecht@h-ka.de

Abstract

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Developing digital platform business models, especially in business-to-business (B2B) markets, has a high potential for companies who successfully develop their products in generations. The model of SGE - System Generation Engineering describes the development of mechatronic systems on subsystem level. The authors investigate to what extent a comprehensive and unified methodology can be identified, connecting the research areas of product development and digital B2B platform business models. Therefore, this study conducted a bibliometric analysis of scientific data to identify a research gap and a qualitative literature review to affirm the relevance of future research in this research area. The results show a gap between the research areas of digital B2B platform business models and product development. Essentially, several renowned platform researchers suggested performing future research with a methodology that fulfils the following purposes: (1) improve the general understanding of digital platforms, (2) understand their success factors and development, and (3) deal with challenges (e.g., monetization) and loss of valued personal relations in B2B markets through digitization.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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