Repository logo
  • English
  • Deutsch
  • Français
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. CRIS
  3. Publication
  4. Architectural Learning in the Professional 3D Printing Ecosystem: Proxies and the Complementarity Space
 

Architectural Learning in the Professional 3D Printing Ecosystem: Proxies and the Complementarity Space

URI
https://arbor.bfh.ch/handle/arbor/46558
Version
Published
Date Issued
2025
Author(s)
Lehmann, Julian
Berends, Hans
Berente, Nicholas
Tumbas, Sanja  
0000-0002-2072-7843
Type
Article
Language
English
Abstract
To realize complementary value in ecosystems, organizations engage in architectural learning, which involves searching for interdependencies and specifying interactions with external complements. In this article, we explore how this process differs when potential complements are not yet fully interoperable and complementarity is emergent. We report on a longitudinal case study of a 3D printer company that shifted from producing inexpensive personal desktop 3D printers to the professional 3D printing ecosystem. The company intensively used proxies (stand-in components) to support learning about interdependencies with potential external complements. This process informed internal component adaptations and the design of boundary resources that enabled third-party complementors to make their components fully complementary. From this case, we theorize this process in terms of shaping a complementarity space: a problem space in which organizations iteratively draw on proxies to provide resources such as interfaces and tools to transfer complementary capabilities to other organizations. We discuss theoretical implications for research on architectural learning and ecosystems.
Publisher DOI
10.1287/orsc.2022.16779
Journal or Serie
Organization Science
Journal or Serie
Organization Science
ISSN
1047-7039
Publisher URL
https://pubsonline.informs.org/doi/abs/10.1287/orsc.2022.16779
Organization
Wirtschaft  
Volume
37
Issue
1
Publisher
informs
Submitter
Tumbas, Sanja
Citation apa
Lehmann, J., Berends, H., Berente, N., & Tumbas, S. (2025). Architectural Learning in the Professional 3D Printing Ecosystem: Proxies and the Complementarity Space. In Organization Science (Vol. 37, Issue 1). informs. https://arbor.bfh.ch/handle/arbor/46558
About ARBOR

Built with DSpace-CRIS software - System hosted and mantained by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
  • Our institution