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The New Productivity Challenge
Abstract
The single greatest challenge facing managers in the developed countries of the world is to raise the productivity of knowledge and service workers. The productivity revolution is over because there are too few people employed in making and moving things for their productivity to be decisive. The chief economic priority for developed countries, therefore, must be to raise the productivity of knowledge and service work. The promise of greater productivity led to massive investments in data-processing equipment that now rival those in materials-processing technology. A major insurance company recently increased the productivity of its claims-settlement department nearly fivefold—from an average of fifteen minutes per claim to three minutes—by eliminating detailed checking on all but very large claims. Salespeople are just as splintered. In department stores, they now spend so much time serving computers that they have little time for serving customers—the main reason, for the steady decline in their productivity as producers of sales and revenues.
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Citations
Cited by
Design science in information systems research
(2004) · Journal of the Association for Information Systems · doi:10.5555/2017212.2017217 · Cited by 8,254
Reengineering: Business Change of Mythic Proportions?
Davenport, T. H., & Stoddard, D. B. (1994) · MIS Quarterly · doi:10.2307/249760 · Cited by 473
Measuring knowledge worker productivity: A taxonomy
Ramírez, Y. W., & Nembhard, D. A. (2004) · Journal of Intellectual Capital · doi:10.1108/14691930410567040 · Cited by 255
Kim, Y.-H., Choe, E. K., Lee, B., & Seo, J. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3290605.3300845 · Cited by 81
Metadata
- Authors
- Drucker, P. F.
- Venue
- Quality in Higher Education
- Publisher
- Routledge
- Published
- 2018-04-24
- Volume
- 69
- Issue
- 6
- Pages
- 37-46
- ISSN
- 1353-8322 (ISSN-L)
- OpenAlex
- W1576019077
- Cited by
- 375
- References
- 0
- FWCI
- 35.01
- 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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: The New Productivity Challenge. https://app.cochat.ai/papers/10.4324/9781351293563-2
- The paper
- Drucker, P. F. (2018). The New Productivity Challenge. Quality in Higher Education. https://doi.org/10.4324/9781351293563-2
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.