Science in Action: How to Follow Scientists and Engineers through Society

Open access

Bijker, Wiebe E., Latour, Bruno·1988·Technology and Culture

DOI 10.2307/3105094

Open this paper in CoChat — free account

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

Crossref · 10.2307/3105094

Cites

Statistics

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.

Expansive Learning at Work: Toward an activity theoretical reconceptualization
Engeström, Y. (2001) · Journal of Education and Work · doi:10.1080/13639080020028747 · Cited by 5,436
The Ethnography of Infrastructure
STAR, S. L. (1999) · American Behavioral Scientist · doi:10.1177/00027649921955326 · Cited by 4,486
Notes on the theory of the actor-network: Ordering, strategy, and heterogeneity
Law, J. (1992) · Systems Practice · doi:10.1007/bf01059830 · Cited by 3,244
Developing a framework for responsible innovation
Stilgoe, J., Owen, R., & Macnaghten, P. (2013) · Research Policy · doi:10.1016/j.respol.2013.05.008 · Cited by 3,184
Knowledge, Knowledge Work and Organizations: An Overview and Interpretation
Blackler, F. (1995) · Organization Studies · doi:10.1177/017084069501600605 · Cited by 2,498
Toward a new economics of science
Partha, D., & David, P. A. (1994) · Research Policy · doi:10.1016/0048-7333(94)01002-1 · Cited by 2,448
Doing interpretive research
Walsham, G. (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000589 · Cited by 2,217
Investigating School Leadership Practice: A Distributed Perspective
Spillane, J. P., Halverson, R., & Diamond, J. B. (2001) · Educational Researcher · doi:10.3102/0013189x030003023 · Cited by 1,690
Fairness and Abstraction in Sociotechnical Systems
Selbst, A. D., Boyd, D., Friedler, S. A., Venkatasubramanian, S., & Vertesi, J. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287598 · Cited by 1,631
Smart sustainable cities of the future: An extensive interdisciplinary literature review
Bibri, S. E., & Krogstie, J. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.02.016 · Cited by 1,599
Peripheral Vision: Economic Markets as Calculative Collective Devices
Callon, M., & Muniesa, F. (2005) · Organization Studies · doi:10.1177/0170840605056393 · Cited by 1,378
Distributed Leadership in Organizations: A Review of Theory and Research
Bolden, R. (2011) · International Journal of Management Reviews · doi:10.1111/j.1468-2370.2011.00306.x · Cited by 1,227
Evidence based guidelines or collectively constructed “mindlines?” Ethnographic study of knowledge management in primary care
Gabbay, J., & May, A. L. (2004) · BMJ · doi:10.1136/bmj.329.7473.1013 · Cited by 986
Practice-Based Theorizing on Learning and Knowing in Organizations
Gherardi, S. (2000) · Organization · doi:10.1177/135050840072001 · Cited by 859
Digital Product Innovation Within Four Classes of Innovation Networks
Lyytinen, K., Yoo, Y., & Boland Jr., R. J. (2016) · Information Systems Journal · doi:10.1111/isj.12093 · Cited by 806
Scientific literacy for citizenship: Tools for dealing with the science dimension of controversial socioscientific issues
Kolstø, S. D. (2001) · Science Education · doi:10.1002/sce.1011 · Cited by 805
What do business models do?
Doganova, L., & Eyquem-Renault, M. (2009) · Research Policy · doi:10.1016/j.respol.2009.08.002 · Cited by 788
What is co-creation? An interactional creation framework and its implications for value creation
Ramaswamy, V., & Ozcan, K. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2017.11.027 · Cited by 735
What’s Under Construction Here? Social Action, Materiality, and Power in Constructivist Studies of Technology and Organizing
Leonardi, P. M., & Barley, S. R. (2010) · Academy of Management Annals · doi:10.5465/19416521003654160 · Cited by 733
Two Bits: The Cultural Significance of Free Software
(2008) · Choice Reviews Online · doi:10.5860/choice.46-2158 · Cited by 709
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
Biomedicalization: Technoscientific Transformations of Health, Illness, and U.S. Biomedicine
Clarke, A. E., Shim, J. K., Mamo, L., Fosket, J. R., & Fishman, J. R. (2003) · American Sociological Review · doi:10.1177/000312240306800201 · Cited by 560
The Lean Startup Framework: Closing the Academic–Practitioner Divide
Shepherd, D. A., & Gruber, M. (2021) · Entrepreneurship Theory and Practice · doi:10.1177/1042258719899415 · Cited by 459
What do we mean by performativity in organizational and management theory? The uses and abuses of performativity
Gond, J., Cabantous, L., Harding, N., & Learmonth, M. (2016) · International Journal of Management Reviews · doi:10.1111/ijmr.12074 · Cited by 405
The file: agency, authority, and autography in an Islamabad bureaucracy
Hull, M. S. (2003) · Language & Communication · doi:10.1016/s0271-5309(03)00019-3 · Cited by 382
Contesting epistemic authority: Conspiracy theories on the boundaries of science
Harambam, J., & Aupers, S. (2015) · Public Understanding of Science · doi:10.1177/0963662514559891 · Cited by 328
The ethnographer and the algorithm: beyond the black box
Christin, A. (2020) · Theory and Society · doi:10.1007/s11186-020-09411-3 · Cited by 327
Data in Practice: Conceptualizing the Data-Based Decision-Making Phenomena
Spillane, J. P. (2012) · American Journal of Education · doi:10.1086/663283 · Cited by 308
Ghosts in the Machine: Publication Planning in the Medical Sciences
Sismondo, S. (2009) · Social Studies of Science · doi:10.1177/0306312708101047 · Cited by 297
Food, Waste and Safety: Negotiating Conflicting Social Anxieties into the Practices of Domestic Provisioning
Watson, M., & Meah, A. (2012) · The Sociological Review · doi:10.1111/1467-954x.12040 · Cited by 302
On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society
Bibri, S. E., & Krogstie, J. (2017) · Sustainable Cities and Society · doi:10.1016/j.scs.2016.11.004 · Cited by 296
Publication bias and the canonization of false facts
Nissen, S. B., Magidson, T., Gross, K., & Bergstrom, C. T. (2016) · eLife · doi:10.7554/elife.21451 · Cited by 266
Material culture after text: re‐membering things
Olsen, B. (2003) · Norwegian Archaeological Review · doi:10.1080/00293650310000650 · Cited by 279
Accounting, network complementarities and the development of inter-organisational relations
Mouritsen, J., & Thrane, S. (2006) · Accounting, Organizations and Society · doi:10.1016/j.aos.2005.04.002 · Cited by 263
Geeks, Social Imaginaries, and Recursive Publics
Kelty, C. (2005) · Cultural Anthropology · doi:10.1525/can.2005.20.2.185 · Cited by 262
Climate change and knowledge politics
Grundmann, R. (2007) · Environmental Politics · doi:10.1080/09644010701251656 · Cited by 255
Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure
Hutchinson, B., Smart, A., Hanna, A., Denton, R., Greer, C., Kjartansson, O., Barnes, P., & Mitchell, M. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency · doi:10.1145/3442188.3445918 · Cited by 279
Working artefacts: ethnomethods of the prototype
Suchman, L., Trigg, R., & Blomberg, J. (2002) · The British Journal of Sociology · doi:10.1080/00071310220133287 · Cited by 250
The impacts of household consumption and options for change
Tukker, A., Cohen, M. J., Hubacek, K., & Mont, O. (2010) · Journal of Industrial Ecology · doi:10.1111/j.1530-9290.2009.00208.x · Cited by 249
Climate change and transdisciplinary science: Problematizing the integration imperative
Klenk, N., & Meehan, K. (2015) · Environmental Science & Policy · doi:10.1016/j.envsci.2015.05.017 · Cited by 248
Towards an empirical ethics in care: Relations with technologies in health care
Pols, J. (2015) · Medicine, Health Care and Philosophy · doi:10.1007/s11019-014-9582-9 · Cited by 233
On the genealogy of machine learning datasets: A critical history of ImageNet
Denton, E., Hanna, A., Amironesei, R., Smart, A., & Nicole, H. (2021) · Big Data & Society · doi:10.1177/20539517211035955 · Cited by 221
Big data, knowledge co-creation and decision making in fashion industry
Acharya, A., Singh, S. K., Pereira, V., & Singh, P. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.06.008 · Cited by 221
Doing Distinctions: Boundary Work and Symbolic Capital in Radiology
Burri, R. V. (2008) · Social Studies of Science · doi:10.1177/0306312707082021 · Cited by 203
When Knowledge Work and Analytical Technologies Collide: The Practices and Consequences of Black Boxing Algorithmic Technologies
Anthony, C. (2021) · Administrative Science Quarterly · doi:10.1177/00018392211016755 · Cited by 191
Personal photography, digital technologies and the uses of the visual
Van House, N. A. (2011) · Visual Studies · doi:10.1080/1472586x.2011.571888 · Cited by 185
Beyond the organizational ‘container’: Conceptualizing 21st century sociotechnical work
Winter, S., Berente, N., Howison, J., & Butler, B. (2014) · Information and Organization · doi:10.1016/j.infoandorg.2014.10.003 · Cited by 178
Professional and Citizen Bibliometrics: Complementarities and Ambivalences in the Development and Use of Indicators—a State-of-the-Art Report
Leydesdorff, L., Wouters, P., & Bornmann, L. (2016) · Scientometrics · doi:10.1007/s11192-016-2150-8 · Cited by 173
The co-constitution of ageing and technology: a model and agenda
Peine, A., & Neven, L. (2021) · Ageing and Society · doi:10.1017/s0144686x20000641 · Cited by 169
Pragmatogonies: A Mythical Account of How Humans and Nonhumans Swap Properties
LATOUR, B. (1994) · American Behavioral Scientist · doi:10.1177/0002764294037006006 · Cited by 166
Self-citation
Contextual dynamics during health information systems implementation: an event-based actor-network approach
Cho, S., Mathiassen, L., & Nilsson, A. (2008) · European Journal of Information Systems · doi:10.1057/ejis.2008.49 · Cited by 161
Core Elements in the Process of Citing Publications: Conceptual Overview of the Literature
Tahamtan, I., & Bornmann, L. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.01.002 · Cited by 149
The two facets of electronic care surveillance: An exploration of the views of older people who live with monitoring devices
Essén, A. (2008) · Social Science & Medicine · doi:10.1016/j.socscimed.2008.03.005 · Cited by 145
Lexical cohesion and specialized knowledge in science and popular science texts
Myers, G. (1991) · Discourse Processes · doi:10.1080/01638539109544772 · Cited by 146
Constructing performance measurement in the public sector
Arnaboldi, M., & Azzone, G. (2010) · Critical Perspectives on Accounting · doi:10.1016/j.cpa.2010.01.016 · Cited by 145
Exploring customers' responses to online service failure and recovery strategies during Covid‐19 pandemic: An actor–network theory perspective
Ozuem, W., Ranfagni, S., Willis, M., Rovai, S., & Howell, K. (2021) · Psychology & Marketing · doi:10.1002/mar.21527 · Cited by 140
Contingencies of innovative networks: A case study of successful interfirm R & D collaboration
Häusler, J., Hohn, H.-W., & Lütz, S. (1994) · Research Policy · doi:10.1016/0048-7333(94)90026-4 · Cited by 136
Casting the Net: A Multimodal Network Perspective on User–System Interactions
Kane, G. C., & Alavi, M. (2008) · Information Systems Research · doi:10.1287/isre.1070.0158 · Cited by 135
Music Technology, Gender, and Class: Digitization, Educational and Social Change in Britain
BORN, G., & DEVINE, K. (2015) · Twentieth-Century Music · doi:10.1017/s1478572215000018 · Cited by 134
Performing modularity: Competing rules, performative struggles and the effect of organizational theories on the organization
D’Adderio, L., & Pollock, N. (2014) · Organization Studies · doi:10.1177/0170840614538962 · Cited by 129
Infrastructure and Organizational Transformation: Classifying Nurses’ Work
Bowker, G. C., Timmermans, S., & Star, S. L. (1996) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-0-387-34872-8_21 · Cited by 129
Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management
Brown, O., Davison, R. M., Decker, S., Ellis, D. A., Faulconbridge, J., Gore, J., Greenwood, M., Islam, G., Lubinski, C., MacKenzie, N. G., et al. (2024) · British Journal of Management · doi:10.1111/1467-8551.12788 · Cited by 128
Bookkeeping, accounting, calculative practice: the sociological suspense of calculation
Vollmer, H. (2003) · Critical Perspectives on Accounting · doi:10.1006/cpac.2002.0528 · Cited by 125
The Global Turn in the History of Science
Fan, F.-T. (2012) · East Asian Science, Technology and Society: An International Journal · doi:10.1215/18752160-1626191 · Cited by 119
Emerging technologies and the use case: A multi‐year study of drone adoption
Maghazei, O., Lewis, M. A., & Netland, T. H. (2022) · Journal of Operations Management · doi:10.1002/joom.1196 · Cited by 117
Adaptations and Continuities in the Use and Design of Visual Representations in US Middle School Science Textbooks
Lee, V. R. (2010) · International Journal of Science Education · doi:10.1080/09500690903253916 · Cited by 110
Creating a New Object of Government: Making Genetically Modified Organisms Traceable
Lezaun, J. (2006) · Social Studies of Science · doi:10.1177/0306312706059461 · Cited by 106
"The Computer Says No!" -- A Case Study on Automated Decision-Making in Public Authorities
Wihlborg, E., Larsson, H., & Hedstrom, K. (2016) · 2016 49th Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.364 · Cited by 106
Where the Action is: Distributed Agency between Humans, Machines, and Programs
Rammert, W. (2008) · Kultur- und Medientheorie · doi:10.14361/9783839408421-004 · Cited by 103
Hierarchy, Complexity, Society
Lane, D. (2006) · Hierarchy in Natural and Social Sciences · doi:10.1007/1-4020-4127-6_5 · Cited by 99
From data to decisions: Processing information, biases, and beliefs for improved management of natural resources and environments
Glynn, P. D., Voinov, A. A., Shapiro, C. D., & White, P. A. (2017) · Earth's Future · doi:10.1002/2016ef000487 · Cited by 98
Fitting Standard Software Packages to Non-standard Organizations: The ‘Biography’ of an Enterprise-wide System
Pollock, N., Williams, R., & Procter, R. (2003) · Technology Analysis & Strategic Management · doi:10.1080/09537320310001601504 · Cited by 96
Why has Latour's theory of citations been ignored by the bibliometric community? Discussion of sociological interpretations of citation analysis
Luukkonen, T. (1997) · Scientometrics · doi:10.1007/bf02461121 · Cited by 94
What’s in a Name? Metaphors and Cybersecurity
Branch, J. (2021) · International Organization · doi:10.1017/s002081832000051x · Cited by 94
Research education of new scientists: Implications for science teacher education
Feldman, A., Divoll, K., & Rogan‐Klyve, A. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20285 · Cited by 88
Reprioritizing the relationship between HCI research and practice: bubble-up and trickle-down effects
Gray, C. M., Stolterman, E., & Siegel, M. A. (2014) · Proceedings of the 2014 conference on Designing interactive systems · doi:10.1145/2598510.2598595 · Cited by 84
To Question or Accept? How Status Differences Influence Responses to New Epistemic Technologies in Knowledge Work
Anthony, C. (2018) · Academy of Management Review · doi:10.5465/amr.2016.0334 · Cited by 84
Life on a Pixel: Challenges in the Development of Digital Methods Within an “Interpretive” Landscape Archaeology Framework
Llobera, M. (2012) · Journal of Archaeological Method and Theory · doi:10.1007/s10816-012-9139-2 · Cited by 81
Revisiting the Scientometric Conceptualization of Impact and Its Measurement
Abramo, G. (2018) · Journal of Informetrics · doi:10.1016/j.joi.2018.05.001 · Cited by 80
Predicting the impact of scientific concepts using full-text features
McKeown, K., Daume, H., Chaturvedi, S., Paparrizos, J., Thadani, K., Barrio, P., Biran, O., Bothe, S., Collins, M., Fleischmann, K. R., et al. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23612 · Cited by 73
A methodology for shifting the focus of e-health support design onto user needs
De Rouck, S., Jacobs, A., & Leys, M. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.11.004 · Cited by 70
Fluids or flows? Information and qualculation in medical practice
Moser, I., & Law, J. (2006) · Information Technology & People · doi:10.1108/09593840610649961 · Cited by 71
Facebook for self-empowerment? A study of Facebook adoption in urban India
Kumar, N. (2014) · New Media & Society · doi:10.1177/1461444814543999 · Cited by 69
Lest we remember: Organizational forgetting and the production of knowledge
Bowker, G. C. (1997) · Accounting, Management and Information Technologies · doi:10.1016/s0959-8022(97)90001-1 · Cited by 68
The Implications of Digital Employee Monitoring and People Analytics for Power Relations in the Workplace
Manokha, I. (2020) · Surveillance & Society · doi:10.24908/ss.v18i4.13776 · Cited by 66
The electronic patient record as a meaningful audit tool: accountability and autonomy in general practitioner work
Winthereik, B. R., van der Ploeg, I., & Berg, M. (2007) · Science, Technology, & Human Values · doi:10.1177/0162243906293884 · Cited by 64
Cyber-Nationalism in China: Challenging Western media portrayals of internet censorship in China
Jiang, Y. (2012) · doi:10.1017/9780987171894 · Cited by 63
The sociology of a market analysis tool: How industry analysts sort vendors and organize markets
Pollock, N., & Williams, R. (2009) · Information and Organization · doi:10.1016/j.infoandorg.2009.01.001 · Cited by 63
The perfect subject (postcolonial object studies)
Fowles, S. (2016) · Journal of Material Culture · doi:10.1177/1359183515623818 · Cited by 61
Building truths in AI: Making predictive algorithms doable in healthcare
Henriksen, A., & Bechmann, A. (2020) · Information, Communication & Society · doi:10.1080/1369118x.2020.1751866 · Cited by 58
Insolvent: How to Reorient Computing for Just Sustainability
Becker, C. (2023) · doi:10.7551/mitpress/14668.001.0001 · Cited by 56
Building a house on shifting sand: methodological considerations when evaluating the implementation and adoption of national electronic health record systems
Takian, A., Petrakaki, D., Cornford, T., Sheikh, A., & Barber, N. (2012) · BMC Health Services Research · doi:10.1186/1472-6963-12-105 · Cited by 51
“This led to a subtle, but fundamental shift in the object and purpose of our research; the focus became directed not so much on evaluating a concrete or summative NHS CRS implementation, and thus on making judgments as to what was ultimately achieved, but on understanding and narrating the stories of a network of NHS…”
Background
Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution
Fosch-Villaronga, E., van der Hof, S., Lutz, C., & Tamò-Larrieux, A. (2023) · AI & SOCIETY · doi:10.1007/s00146-021-01295-w · Cited by 54
Reassessing values for emerging big data technologies: integrating design-based and application-based approaches
La Fors, K., Custers, B., & Keymolen, E. (2019) · Ethics and Information Technology · doi:10.1007/s10676-019-09503-4 · Cited by 50
Genealogies and anthropologies of global mental health
Lovell, A. M., Read, U. M., & Lang, C. (2019) · Culture, Medicine, and Psychiatry · doi:10.1007/s11013-019-09660-7 · Cited by 48
Recipes for Immortality: Healing, Religion, and Community in South India
Weiss, R. S. (2009) · doi:10.1093/acprof:oso/9780195335231.001.0001 · Cited by 49
Facilitating technology adoption in the NHS: negotiating the organisational and policy context – a qualitative study
Llewellyn, S., Procter, R., Harvey, G., Maniatopoulos, G., & Boyd, A. (2014) · Health Services and Delivery Research · doi:10.3310/hsdr02230 · Cited by 43
Audit Bodies: Embodied Participation, Disability Universalism, and Accessibility in India
Friedner, M., & Osborne, J. (2013) · Antipode · doi:10.1111/j.1467-8330.2012.00990.x · Cited by 43
The Economy of the Digital Gift: From Socialism to Sociality Online
Romele, A., & Severo, M. (2016) · Theory, Culture & Society · doi:10.1177/0263276415619474 · Cited by 42
Embedding telephone therapy in statutory mental health services: a qualitative, theory-driven analysis
Bee, P., Lovell, K., Airnes, Z., & Pruszynska, A. (2016) · BMC Psychiatry · doi:10.1186/s12888-016-0761-5 · Cited by 38

Authors: Bijker, W. E., & Latour, B.
Venue: Technology and Culture
Publisher: JSTOR
Published: 1988-10
Volume: 29
Issue: 4
Pages: 982
ISSN: 0040-165X (ISSN-L)
DOI: 10.2307/3105094
OpenAlex: W2334930053
Cited by: 10,767
References: 0
FWCI: 90.37
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

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.

Science in Action: How to Follow Scientists and Engineers through Society

Overview

Integrity signals

Verification

Claims the paper makes

Self-check

Citations

Cited by

Metadata

Record

About these checks

Data sources