Optimizing and Satisficing: The Interplay Between Platform Architecture and Producers’ Design Strategies for Platform Performance1
Abstract
Two-sided platforms are gaining increasing attention in practice and as the subject of IS and management research. We explore an assumption of research and practice: that a platform’s architecture needs to be decoupled so that producers can easily mix and match the platform’s design elements (APIs, code libraries, process models, etc.) into apps that perform well competitively, and insulate the platform from skewed out-comes and low market performance. However, in practice, complete decoupling is not just difficult but almost impossible. Based on more than two million runs of an exploratory NK model in which producers use a platform’s design space for the creation of apps, we generate several surprising insights. First, we show that tighter coupling may not necessarily be harmful depending on the producers’ design strategies and the amount of constraints placed on design elements. Second, we observe that if moderate to tightly coupled platforms with optimizing producers focused exclusively on being competitive, platform performance is lower compared to platforms with satisficing producers who put a lower priority of being competitive because of other interests. This is surprising since optimizers are better suited to cope with the inherent uncertainty of coupling. Finally, moderately coupled platforms can outperform platforms with loose coupling when constraints nudge producers into distant design moves while also isolating them from downside uncertainty. These three findings offer implications for multiple streams of literature on platform architectures.
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At some point, focal platform firms face the challenge of updating their platform architecture and subsequent technologies.
“At some point, focal platform firms face the challenge of updating their platform architecture and subsequent technologies (Brunswicker et al., 2019).”
From Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems (2023) · cites this paper as Brunswicker et al., 2019
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Making the Crowd Wiser: (Re)Combination Through Teaming in Crowdsourcing
Zhou, J., & Hahn, J. (2021) · Information Systems Research · doi:10.1287/isre.2023.0556
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The impact of innovation evolution and interaction control on interfirm network performance
Mi, J., Yao, C., Zhao, X., & Li, F. (2023) · Technology Analysis and Strategic Management · doi:10.1080/09537325.2023.2209212
Xue, C., Zhang, H., & Zhao, Q. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4503140
Bridging Strategy from Both Business Economics and Design Sciences
Bühring, J. H., de Mozota, B. B., & Moore, P. A. (2023) · Cubic Journal · doi:10.31182/cubic.2023.6.57
Effect of App Market Conditions on Permissions Usage by App Developers
Wei, J., & Mallampalli, K. (2023) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2023.838
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Developing supplier capabilities for effective new product development under supply chain risk
Liu, Y., Du, J., & 강민구 (2026) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2025-0093
Kulkarni, S., Joshi, M., Patil, R., & Deshmukh, A. (2022) · Journal of Digital Business and Management Studies · doi:10.68159/q557137962
- Authors
- Brunswicker, S., Almirall, E., & Majchrzak, A.
- Affiliations
- Purdue University West Lafayette (US)
- Esade (ES)
- University of Southern California (US)
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2019-12-01
- Volume
- 43
- Issue
- 4
- Pages
- 1249-1277
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2989962166
- Cited by
- 59
- References
- 79
- Citations by year
- 2026: 1 · 2025: 10 · 2024: 9 · 2023: 13 · 2022: 11 · 2021: 9 · 2020: 5 · 2014: 1
- FWCI
- 9.61
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MIS Quarterly (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
- Keywords
- two-sided markets, platform architecture, coupling, decoupling, NK model, satisficing, optimizing behavior, platform performance, design space, uncertainty, competitive performance, app development
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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