Platforming for industrialized building: a comparative case study of digitally-enabled product platforms
Author(s)
Zhou, Shanjing
Type
Journal Article
Abstract
Digitally-enabled product platforms are becoming prominent approaches for industrialized building. Such a platform is a collection of common and stable modules and interfaces that can derive products effectively using digital delivery. The usage of construction product platforms has been studied in the existing buildings literature; however, there is relatively less on firms’ strategies of platform elements for platforming, which encompasses both the development and deployment of a digitally-enabled product platform. This paper examines how construction firms strategize for platforming, through a comparative case study approach with nine international case firms. Findings indicate that three typologies platforms that firms implemented: those rely on a kit of parts only; those have also developed structured interfaces; and those have also established design rules. Inferring from findings, this paper articulates the influential role of customer requirement certainties across multiple market segments in shaping these strategies. By offering a novel classification of platforming strategies under varied certainties of customer requirements across market segments, this paper contributes to the research on construction product platforming strategies. This has implications for practitioners and opens new areas for research, taking the characteristics of customer requirements within or across market segments into account in strategic decision-making on digitally-enabled product platforms.
Date Issued
2024-01-01
Date Acceptance
2023-04-02
Citation
Building Research and Information: the international journal of research, development and demonstration, 2024, 52 (1-2), pp.4-18
ISSN
0182-3329
Publisher
Taylor and Francis Group
Start Page
4
End Page
18
Journal / Book Title
Building Research and Information: the international journal of research, development and demonstration
Volume
52
Issue
1-2
Copyright Statement
© 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use,
distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted
Manuscript in a repository by the author(s) or with their consent.
distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted
Manuscript in a repository by the author(s) or with their consent.
License URL
Identifier
https://www.tandfonline.com/doi/full/10.1080/09613218.2023.2200157
Publication Status
Published
Date Publish Online
2023-04-20