The DOI matches its Crossref record.
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies.
Abstract
In 1965, engineer Gordon Moore famously predicted that the number of components per integrated circuit would doubleannually, allowing 65,000 components to fit into a single integrated circuit by 19...
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
Cited by
The Digital Platform: A Research Agenda
de Reuver, M., Sørensen, C., & Basole, R. C. (2018) · Journal of Information Technology · doi:10.1057/s41265-016-0033-3 · Cited by 1,681
Artificial intelligence: Implications for the future of work
Howard, J. (2019) · American Journal of Industrial Medicine · doi:10.1002/ajim.23037 · Cited by 522
Six Human-Centered Artificial Intelligence Grand Challenges
Ozmen Garibay, O., Winslow, B., Andolina, S., Antona, M., Bodenschatz, A., Coursaris, C., Falco, G., Fiore, S. M., Garibay, I., Grieman, K., et al. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2153320 · Cited by 501
Man Tang, P., Koopman, J., McClean, S. T., Zhang, J. H., Li, C. H., De Cremer, D., Lu, Y., & Ng, C. T. S. (2022) · Academy of Management Journal · doi:10.5465/amj.2020.1516 · Cited by 370
McClure, P. K. (2018) · Social Science Computer Review · doi:10.1177/0894439317698637 · Cited by 367
Virtually Intelligent Product Systems: Digital and Physical Twins
Grieves, M. W. (2019) · Complex Systems Engineering: Theory and Practice · doi:10.2514/5.9781624105654.0175.0200 · Cited by 356
Predict and Surveil: Data, Discretion, and the Future of Policing
Brayne, S. (2020) · doi:10.1093/oso/9780190684099.001.0001 · Cited by 334
Grassini, S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1191628 · Cited by 330
Kinkel, S., Baumgartner, M., & Cherubini, E. (2022) · Technovation · doi:10.1016/j.technovation.2021.102375 · Cited by 316
Can HR adapt to the paradoxes of artificial intelligence?
Charlwood, A., & Guenole, N. (2022) · Human Resource Management Journal · doi:10.1111/1748-8583.12433 · Cited by 271
Working Algorithms: Software Automation and the Future of Work
Shestakofsky, B. (2017) · Work and Occupations · doi:10.1177/0730888417726119 · Cited by 186
Lukyanenko, R., Maass, W., & Storey, V. C. (2022) · Electronic Markets · doi:10.1007/s12525-022-00605-4 · Cited by 171
Theory Assessment and Agenda Setting in Political CSR: A Critical Theory Perspective
Scherer, A. G. (2018) · International Journal of Management Reviews · doi:10.1111/ijmr.12137 · Cited by 149
Micro-work, artificial intelligence and the automotive industry
Tubaro, P., & Casilli, A. A. (2019) · Journal of Industrial and Business Economics · doi:10.1007/s40812-019-00121-1 · Cited by 122
AI, Labor, Productivity and the Need for Firm-Level Data
Seamans, R., & Raj, M. (2018) · doi:10.3386/w24239 · Cited by 117
Kocaballi, A. B., Ijaz, K., Laranjo, L., Quiroz, J. C., Rezazadegan, D., Tong, H. L., Willcock, S., Berkovsky, S., & Coiera, E. (2020) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaa131 · Cited by 112
Copy, transform, combine: Exploring the remix as a form of innovation
Flath, C. M., Friesike, S., Wirth, M., & Thiesse, F. (2017) · Journal of Information Technology · doi:10.1057/s41265-017-0043-9 · Cited by 96
Seven Paradoxes of Business Process Management in a Hyper-Connected World
Beverungen, D., Buijs, J. C. A. M., Becker, J., Di Ciccio, C., van der Aalst, W. M. P., Bartelheimer, C., vom Brocke, J., Comuzzi, M., Kraume, K., Leopold, H., et al. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00646-z · Cited by 89
The Vicious Circles of Skill Erosion: A Case Study of Cognitive Automation
Rinta-Kahila, T., The University of Queensland Business School, Penttinen, E., Aalto University School of Business, Salovaara, A., Aalto University / University of Helsinki, Soliman, W., University of Agder, N. /. U. O. J., Ruissalo, J., & Aalto University School of Business (2023) · Journal of the Association for Information Systems · doi:10.17705/1jais.00829 · Cited by 86
The Impact of Artificial Intelligence on Expertise Development: Implications for HRD
Ardichvili, A. (2022) · Advances in Developing Human Resources · doi:10.1177/15234223221077304 · Cited by 77
Trustworthy human-AI partnerships
Ramchurn, S. D., Stein, S., & Jennings, N. R. (2021) · iScience · doi:10.1016/j.isci.2021.102891 · Cited by 73
Can a machine think (anything new)? Automation beyond simulation
Fazi, M. B. (2019) · AI & SOCIETY · doi:10.1007/s00146-018-0821-0 · Cited by 62
The impact of information technology on postwar US economic growth
Jorgenson, D. W., Ho, M. S., & Samuels, J. D. (2016) · Telecommunications Policy · doi:10.1016/j.telpol.2015.03.001 · Cited by 58
Making it Work, or Not: A Longitudinal Study of Career Trajectories Among Online Freelancers
Blaising, A., Kotturi, Y., Kulkarni, C., & Dabbish, L. (2021) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3432925 · Cited by 57
Discourses of technology, ageing and participation
Fleming, A., Mason, C., & Paxton, G. (2018) · Palgrave Communications · doi:10.1057/s41599-018-0107-7 · Cited by 42
Deep learning, education and the final stage of automation.
Peters, M. A. (2018) · Educational Philosophy and Theory · doi:10.1080/00131857.2017.1348928 · Cited by 39
Lawhon, M., & McCreary, T. (2020) · Antipode · doi:10.1111/anti.12604 · Cited by 30
Trends and Disparities in Subjective Upward Mobility since 1940
Berger, T., & Engzell, P. (2020) · Socius: Sociological Research for a Dynamic World · doi:10.1177/2378023120951139 · Cited by 29
No automation please, we’re British: technology and the prospects for work
Spencer, D., & Slater, G. (2020) · Cambridge Journal of Regions, Economy and Society · doi:10.1093/cjres/rsaa003 · Cited by 26
Schiele, H., & Torn, R. J. (2020) · International Journal of Procurement Management · doi:10.1504/ijpm.2020.108617 · Cited by 24
Handbook of Research on Artificial Intelligence in Government Practices and Processes
(2022) · Advances in Electronic Government, Digital Divide, and Regional Development · doi:10.4018/978-1-7998-9609-8 · Cited by 18
Digital Labor, Platforms, and AI
Munn, L. (2024) · Introduction to Digital Humanism · doi:10.1007/978-3-031-45304-5_35 · Cited by 17
GLOBE – Learn and Innovate Digitization by a Virtual Collaboration Exercise and Living Lab
Bresinsky, M., & von Reusner, F. (2018) · Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-76908-0_26 · Cited by 14
Examining the Impact of Industry 4.0 on Labor Market in Pakistan
Kazmi, S. J. A., & Abbas, J. (2021) · Handbook of Smart Materials, Technologies, and Devices · doi:10.1007/978-3-030-58675-1_80-1 · Cited by 13
Metadata
- Authors
- West, J. C.
- Venue
- Psychiatry
- Publisher
- Informa UK Limited
- Published
- 2015-10-02
- Volume
- 78
- Issue
- 4
- Pages
- 380-383
- ISSN
- 0033-2747 (ISSN-L)
- 1943-281X
- OpenAlex
- W2228966521
- Cited by
- 1,398
- References
- 0
- FWCI
- 335.21
- 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.
