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Cited by 667

The DOI matches its OpenAlex record; 27 of the 27 references it cites were found in a registry or an index.

Determinants of Innovation in Organizations

Lawrence B. Mohr·1969·American Political Science Review

Abstract

The present study is an attempt to identify the determinants of innovation in public agencies, i.e., the degree to which they adopt and emphasize programs that depart from traditional concerns. Innovation is suggested to be the function of an interaction among the motivation to innovate, the strength of obstacles against innovation, and the availability of resources for overcoming such obstacles. The significance of the research can be viewed in terms of Hyneman's observation nearly twenty years ago that bureaucratic agencies “… may fail to take the initiative and supply the leadership that is required of them in view of their relation to particular sectors of public affairs. …” His concern was the responsiveness of the public sector not only to expressed wants but to public wants that may go unexpressed, or be only weakly expressed, and whose utility is much more easily recognized by the informed bureaucratic official than by the ordinary citizen. While the results and conclusions to be reported appear to be largely valid for organizations in general, the empirical focus will be local departments of public health which, as a class, have had a rather dramatic succession of opportunities to respond to new public problems over the past twenty-five years. A brief introductory paragraph will orient the reader to the applied setting.

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Metadata

Authors
Mohr, L. B.
Venue
American Political Science Review
Publisher
Cambridge University Press
Published
1969-03-01
Volume
63
Issue
1
Pages
111-126
ISSN
0003-0554 (ISSN-L)
OpenAlex
W2121355463
Cited by
667
References
27
FWCI
60.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Determinants of Innovation in Organizations. https://app.cochat.ai/papers/10.1017/s0003055400261510
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Mohr, L. B. (1969). Determinants of Innovation in Organizations. American Political Science Review. https://doi.org/10.1017/s0003055400261510

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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.