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Cited by 307

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Visualization of Interfirm Relations in a Converging Mobile Ecosystem

Basole, Rahul C·2009·Journal of Information Technology

Abstract

The mobile ecosystem is characterized by a large and complex network of companies interacting with each other, directly and indirectly, to provide a broad array of mobile products and services to end-customers. With the convergence of enabling technologies, the complexity of the mobile ecosystem is increasing multifold as new actors are emerging, new relations are formed, and the traditional distribution of power is shifted. Drawing on theories of network science, complex systems, interfirm relationships, and the creative art and science of visualization, this paper identifies key players and maps the complex structure and dynamics of nearly 7000 global companies and over 18,000 relationships in the converging mobile ecosystem. Our approach enables decision makers to (i) visually explore the complexity of interfirm relations in the mobile ecosystem, (ii) discover the relation between current and emerging segments, (iii) determine the impact of convergence on ecosystem structure, (iv) understand a firm's competitive position, and (v) identify interfirm relation patterns that may influence their choice of innovation strategy or business models.

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Metadata

Authors
Basole, R. C.
Venue
Journal of Information Technology
Published
2009-06
Volume
24
Issue
2
Pages
144-159
ISSN
  • 0268-3962 (ISSN-L)
  • 1466-4437
OpenAlex
W1985601341
Cited by
307
References
9
FWCI
44.32
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Visualization of Interfirm Relations in a Converging Mobile Ecosystem. https://app.cochat.ai/papers/10.1057/jit.2008.34
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Basole, R. C. (2009). Visualization of Interfirm Relations in a Converging Mobile Ecosystem. Journal of Information Technology. https://doi.org/10.1057/jit.2008.34

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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.