The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Social Construction of Technology: Structural Considerations
Abstract
Although scholarship in the social construction of technology (SCOT) has contributed much to illuminating technological development, most work using this theoretical approach is committed to an agency-centered approach. SCOT scholars have made only limited contributions to illustrating the influence of social structures. In this article, the authors argue for the importance of structural concepts to understanding technological development. They summarize the SCOT conceptual framework defined by Trevor Pinch and Wiebe Bijker and survey some of the methodological and explanatory difficulties that arise with their approach. Then the authors present concepts from organizational sociology and political economy that illuminate structural influences in shaping phenomena of interest to SCOT scholars. These structural concepts can be applied to the study of the design, development, and transformation of technology. The authors conclude that the limited amount of scholarship on structural factors in the social shaping of technological development presents numerous opportunities for research.
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
The social shaping of technology
Williams, R., & Edge, D. (1996) · Research Policy · doi:10.1016/0048-7333(96)00885-2 · Cited by 917
Cited by
Leonardi, P. M., & Barley, S. R. (2010) · Academy of Management Annals · doi:10.5465/19416521003654160 · Cited by 733
Aligning artificial intelligence with climate change mitigation
Kaack, L. H., Donti, P. L., Strubell, E., Kamiya, G., Creutzig, F., & Rolnick, D. (2022) · Nature Climate Change · doi:10.1038/s41558-022-01377-7 · Cited by 570
On Technological Determinism: A Typology, Scope Conditions, and a Mechanism
Dafoe, A. (2015) · Science, Technology, & Human Values · doi:10.1177/0162243915579283 · Cited by 221
Bacchus, L. J., Bullock, L., Sharps, P., Burnett, C., Schminkey, D. L., Buller, A. M., & Campbell, J. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.6251 · Cited by 57
Moldt, J.-A., Festl-Wietek, T., Fuhl, W., Zabel, S., Claassen, M., Wagner, S., Nieselt, K., & Herrmann-Werner, A. (2024) · JMIR Medical Education · doi:10.2196/58355 · Cited by 47
Metadata
- Authors
- Klein, H. K., & Kleinman, D. L.
- Venue
- Science, Technology, & Human Values
- Publisher
- SAGE Publications
- Published
- 2002-01
- Volume
- 27
- Issue
- 1
- Pages
- 28-52
- ISSN
- 0162-2439 (ISSN-L)
- 1552-8251
- OpenAlex
- W2100647802
- Cited by
- 592
- References
- 1
- FWCI
- 28.64
- 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
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.
