Cited by 26Digital Platforms and EconomicsMobile and Web ApplicationsOpen Source Software Innovations

Platform Compatibility and Developer Multihoming: A Trade-off Perspective

Tian, Jing, Zhao, Xia, Xue, Ling·2022·MIS Quarterly

Abstract

Digital platform ecosystems feature interplatform competition. A potential strategy for a platform with market disadvantage is to make itself compatible with competitors to attract multihoming of developers. However, many questions remain unresolved regarding how a platform’s compatibility strategy impacts developers’ multihoming decisions and subsequent app performance. In this study, we use the context of web browser platforms (i.e., Firefox and Chrome) to investigate how the increase in the technological compatibility of a secondary platform (Firefox) influences developer multihoming from a primary dominant platform (Chrome). We theoretically consider how increased platform compatibility influences the trade-offs in developers’ multihoming decisions and their subsequent app development choices. Based on this trade-off perspective, we posit and empirically investigate the effects of increased platform compatibility on developer multihoming, and the subsequent development choices and app performance resulting from multihoming. Our findings illustrate that developers with larger user bases on the primary platform are more willing to multihome than those with smaller bases, but increased platform compatibility reduces this gap and enables developers with smaller user bases to better embrace multihoming. Increased platform compatibility also encourages multihoming developers to develop exclusive apps for the secondary platform. Moreover, increased platform compatibility facilitates multihoming developers to leverage their primary-platform user bases to enhance their secondary-platform app performance, and this effect is influenced by the development type (porting or exclusive development). Our study generates unique insights that add to the theoretical understanding of platform compatibility, multihoming, and platform competition.

Integrity signals

Registry

Crossref · 10.25300/misq/2022/16369

Cites

71 of 71 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

1 of the 72 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Tian, J., Zhao, X., & Xue, L.
Affiliations
  • Georgia State University (US)
  • University of Georgia (US)
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
2022-09-01
Volume
46
Issue
3
Pages
1661-1690
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W4371785005
Cited by
26
References
72
Citations by year
2026: 6 · 2025: 10 · 2024: 3 · 2023: 5 · 2022: 2
FWCI
3.73
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
  • Physical Sciences › Computer Science › Information Systems › Mobile and Web Applications
  • Physical Sciences › Computer Science › Computer Science Applications › Open Source Software Innovations
Keywords
platform compatibility, platform ecosystems, Firefox, Google Chrome, mobile application performance, platform dominance, trade-offs

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 ›

Are you an author, or do you see a problem with this page? Request a review