The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Coevolution of Community Networks and Technology: Lessons from the Flight Simulation Industry
Open accessAbstract
This paper explores how interorganizational networks coevolve with technology in the modern flight simulation industry. Since industries characterized by complex technologies, like flight simulation, rely on cooperative groups such as technical committees, task forces and standards bodies to adjudicate the process of technological evolution, we focus on these groups and term them ‘cooperative technical organizations’ (CTOs). Focusing on CTOs enables a multi-level examination of interorganizational networks, as individuals represent their employing organizations in CTOs, mapping into overlapping membership patterns which generate community-wide networks. We develop a set of propositions on the emergence, growth and re-formation of CTO networks, and explore how the evolution of these networks both shapes and is constrained by technological outcomes in the flight simulation industry. We argue that varying levels of technological uncertainty between eras of ferment (high uncertainty) and eras of incremental change (low uncertainty) engender fundamentally different modes of network evolution: social construction during eras of ferment, and technological determinism during eras of incremental change. More specifically, during the era of ferment, movement of new members into the CTO community enables the re-formation of interorganizational networks which select among competing technological alternatives. The selection of a dominant design, however, constrains the evolution of network structure, as subsequent CTO membership: remains relatively consistent. These dynamics have strategic implications for firms, as the era of ferment presents a window of opportunity where firms must seek to manage these community-level networks and selection processes to their advantage.
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.
Integrity signals
Registry
Cites
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.
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
Centrality in social networks conceptual clarification
Freeman, L. C. (1978) · Social Networks · doi:10.1016/0378-8733(78)90021-7 · Cited by 17,062
Burkhardt, M. E., & Brass, D. J. (1990) · Administrative Science Quarterly · doi:10.2307/2393552 · Cited by 947
The co-evolution of technology, industrial structure, and supporting institutions
NELSON, R. R. (1994) · Industrial and Corporate Change · doi:10.1093/icc/3.1.47 · Cited by 829
Cited by
Ancona, D. G., Goodman, P. S., Lawrence, B. S., & Tushman, M. L. (2001) · The Academy of Management Review · doi:10.2307/3560246 · Cited by 870
Self-citationThinking about technology: Applying a cognitive lens to technical change
Kaplan, S., & Tripsas, M. (2008) · Research Policy · doi:10.1016/j.respol.2008.02.002 · Cited by 661
Boundary Organizations: Enabling Collaboration among Unexpected Allies
O'Mahony, S., & Bechky, B. A. (2008) · Administrative Science Quarterly · doi:10.2189/asqu.53.3.422 · Cited by 626
Anand, J., McDermott, G., Mudambi, R., & Narula, R. (2021) · Journal of International Business Studies · doi:10.1057/s41267-021-00426-1 · Cited by 251
The technology life cycle: Conceptualization and managerial implications
Taylor, M., & Taylor, A. (2012) · International Journal of Production Economics · doi:10.1016/j.ijpe.2012.07.006 · Cited by 170
Metadata
- Authors
- ROSENKOPF, L., & TUSHMAN, M. L.
- Venue
- Industrial and Corporate Change
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-06-01
- Volume
- 7
- Issue
- 2
- Pages
- 311-346
- ISSN
- 0960-6491 (ISSN-L)
- 1464-3650
- OpenAlex
- W1963596045
- Cited by
- 298
- References
- 3
- FWCI
- 14.86
- Type
- journal article
- Language
- en
- Open access
- green
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 Coevolution of Community Networks and Technology: Lessons from the Flight Simulation Industry. https://app.cochat.ai/papers/10.1093/icc/7.2.311
- The paper
- ROSENKOPF, L., & TUSHMAN, M. L. (1998). The Coevolution of Community Networks and Technology: Lessons from the Flight Simulation Industry. Industrial and Corporate Change. https://doi.org/10.1093/icc/7.2.311
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.