The DOI matches its Crossref record.
The direction of technological change: inducement mechanisms and focusing devices
Abstract
Introduction One of the things which is perfectly obvious about societies which have achieved high degrees of industrialization is that they have acquired unusual skills in problem-solving activities. Industrial societies have learned how to solve certain kinds of problems, and understanding this creative capacity is basic to an understanding of the growth process. What is less obvious, however, is that the developed countries never solve more than a small fraction of the problems they are capable of solving. Rather, they solve some fraction of the problems which happen to be formulated and actively pursued. This suggests that our understanding of the process of technological change may be advanced by exploring the manner in which problems are formulated at the firm level. This paper is intended as a sort of historical reconnaissance mission. It represents an attempt to establish certain generalizations concerning the problem-solving process in industrializing countries in the past two centuries. Our interest is in the forces which provide inducements to technical change, and in examining these forces – what Hirschman has called “inducement mechanisms” – we will not confine ourselves to the more conventional framework of economic reasoning. Indeed, the present paper has been prompted in some measure by the extreme agnosticism to which one is led on the subject of technological change by recent theorizing. It used to be thought possible to explain the factor-saving bias, which inventions took, in purely economic terms.
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
Industry Platforms and Ecosystem Innovation
Gawer, A., & Cusumano, M. A. (2014) · Journal of Product Innovation Management · doi:10.1111/jpim.12105 · Cited by 2,394
Thinking 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
Murmann, J. P., & Frenken, K. (2006) · Research Policy · doi:10.1016/j.respol.2006.04.011 · Cited by 654
van den Ende, J., & Kemp, R. (1999) · Research Policy · doi:10.1016/s0048-7333(99)00027-x · Cited by 162
Kingpins, Bottlenecks, and Value Dynamics Along a Sector
Jacobides, M. G., & Tae, C. J. (2015) · Organization Science · doi:10.1287/orsc.2014.0958 · Cited by 118
Structural learning: Embedding discoveries and the dynamics of production
Andreoni, A. (2014) · Structural Change and Economic Dynamics · doi:10.1016/j.strueco.2013.09.003 · Cited by 70
Andreoni, A. (2018) · Cambridge Journal of Economics · doi:10.1093/cje/bey037 · Cited by 53
Understanding the role of the technical in the build-up of sociotechnical constituencies
Molina, A. H. (1998) · Technovation · doi:10.1016/s0166-4972(98)00093-5 · Cited by 45
Coordination dynamics between fuel cell and battery technologies in the transition to clean cars
Dugoua, E., & Dumas, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2318605121 · Cited by 19
Metadata
- Venue
- Perspectives on Technology
- Publisher
- Cambridge University Press
- Published
- 1976-07-30
- Pages
- 108-125
- OpenAlex
- W2046176544
- Cited by
- 455
- References
- 0
- FWCI
- 43.12
- Type
- book chapter
- 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.