Architectural Leverage: Putting Platforms in Context
Abstract
The use of the term platform has proliferated in management research. However, theoretical work on the concept has lagged behind. We present a systematic review of the platform literature, identifying four distinct streams: organizational platforms, product family platforms, market intermediary platforms, and platform ecosystems. Each of these streams is characterized by a distinctive, although usually implied, theoretical logic. We elaborate on the theoretical logics of leverage and architectural openness, both of which underpin all four streams of platform research. We further discuss three distinctive leverage rationales exhibited in different platform variants—production, innovation, and transaction—and illustrate how platform ecosystems combine aspects of all three. We explain the meta-logic of architectural leverage to facilitate the purposive manipulation of platforms, providing a link between platform design features and sources of leverage. This provides a model that allows the different platform types to be placed into context with others. Finally, we outline how the concept of architectural leverage can be used to understand platform evolution.
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Many entrepreneurial ventures are part of the platform economy and innovation ecosystems and therefore require global links beyond the dense localized networks within the regional entrepreneurial ecosystem.
“Many entrepreneurial ventures are part of the plat -form economy ( Thomas et al., 2014) and innovation ecosystems ( Autio & Thomas, 2014; Scaringella & Radziwon, 2018) and therefore require global links beyond the dense localized networks within the regional entrepreneurial ecosystem (Malecki, 2011).”
From Toward an Entrepreneurial Ecosystem Research Program (2022) · cites this paper as Thomas et al., 2014
The 148 articles were coded and sorted into four research streams adapted from Thomas et al. (2014).
“We then coded and sorted these 148 articles into four research streams adapted from previous research in this area (Thomas et al., 2014).”
From Digital platform ecosystems in flux: From proprietary digital platforms to wide-spanning ecosystems (2023) · cites this paper as Thomas et al., 2014
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- Authors
- Thomas, L. D. W., Autio, E., & Gann, D. M.
- Affiliations
- Imperial College London (GB)
- Venue
- Academy of Management Perspectives
- Publisher
- Academy of Management
- Published
- 2014-05
- Volume
- 28
- Issue
- 2
- Pages
- 198-219
- ISSN
- 1558-9080 (ISSN-L)
- 1943-4529
- OpenAlex
- W2173091594
- Cited by
- 639
- References
- 106
- Citations by year
- 2026: 48 · 2025: 42 · 2024: 41 · 2023: 87 · 2022: 75 · 2021: 76 · 2020: 73 · 2019: 56 · 2018: 42 · 2017: 51 · 2016: 24 · 2015: 21 · 2014: 3
- FWCI
- 101.36
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academy of Management Perspectives (publishedVersion)
- Funders
- Economic and Social Research Council (ES/K006614/1)
- Topics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digital Platforms and Economics
- Social Sciences › Business, Management and Accounting › Strategy and Management › Innovation and Knowledge Management
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Product Development and Customization
- Keywords
- platforms, platform ecosystems, platform design, platform evolution, innovation platforms, transaction platforms, production platforms
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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