Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 226

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

The Impact of Openness on the Market Potential of Multi-Sided Platforms: A Case Study of Mobile Payment Platforms

Ondrus, Jan, Gannamaneni, Avinash, Lyytinen, Kalle·2015·Journal of Information Technology

Abstract

A multi-sided platform can only succeed if a critical mass of users can join. This is a necessary, but not sufficient, condition for a platform's success. However, there is a limited understanding of the factors that contribute to reaching such critical mass. In this study we identify ways to determine the market potential of a platform and to reach critical mass. We particularly enrich past studies by exploring how the openness of a platform influences market potential. We examine openness at three levels – provider, technology, and user level – and ask the question: to what extent can opening (or closing) each level increase or decrease a platform's market potential? The provider level recognizes the strategic involvement of key stakeholders that provide a platform. The technology level is concerned with the interoperability of a platform across different technologies. The user level relates to what extent a platform discriminates different segments of the customer base. On the basis of analytical modeling and theoretical analysis, we formulate four propositions concerning the effects of openness on platforms’ market potential. We illustrate the strength of propositions through a confirmatory case study, which is informed by five theoretically sampled cases. The cases illustrate cogently the effects of opening different levels of a multi-sided platform. In conclusion, we propose a decision model that can assist decision making concerning the opening of a platform to catalyze its growth.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1057/jit.2015.7

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 10 references

Cited by

See all 226

Metadata

Authors
Ondrus, J., Gannamaneni, A., & Lyytinen, K.
Venue
Journal of Information Technology
Published
2015-09
Volume
30
Issue
3
Pages
260-275
ISSN
  • 0268-3962 (ISSN-L)
  • 1466-4437
OpenAlex
W2067625200
Cited by
226
References
10
FWCI
34.63
Type
journal article
Language
en
Open access
closed

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: The Impact of Openness on the Market Potential of Multi-Sided Platforms: A Case Study of Mobile Payment Platforms. https://app.cochat.ai/papers/10.1057/jit.2015.7
The paper
Ondrus, J., Gannamaneni, A., & Lyytinen, K. (2015). The Impact of Openness on the Market Potential of Multi-Sided Platforms: A Case Study of Mobile Payment Platforms. Journal of Information Technology. https://doi.org/10.1057/jit.2015.7

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.