A Framework for the Comparative Analysis of Organizations
Abstract
Complex organizations are conceptualized in terms of their technologies, or the work done on raw materials. Two aspects of technology vary independently: the number of exceptions that must be handled, and the degree to which search is an analyzable or unanalyzable procedure. If there is a large number of exceptions and search is not logical and analytic, the technology is described as nonroutine. Few exceptions and analyzable search procedures describe a routine technology. Two other types result from other combinations-craft and engineering technologies. Task structures vary with the technology utilized, and are analyzed in terms of control and coordination and three levels of management. Social structure in turn is related to technology and task structure. Finally, the variations in three types of goals are weakly related to the preceding variables in this conceptualization. The perspective provides a basis for comparing organizations which avoids many problems found in other schemes utilizing structure, function or goals as the basis for comparison. Furthermore, it allows one to selectively utilize competing organizational theories once it is understood that their relevance is restricted to organizations with specific kinds of technologies. The scheme makes apparent some errors in present efforts to compare organizations.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Variations are often necessary to manage unexpected contingencies and exceptions.
“Variations are often necessary to manage unexpected contingencies and exceptions (Perrow, 1967); the ability to improvise an effective variation is likely to be a valued skill.”
From Reconceptualizing Organizational Routines as a Source of Flexibility and Change (2003) · cites this paper as Perrow, 1967
Cited by
Sorted by citations
Toward a knowledge-based theory of the firm
Grant, R. M. (1996) · Strategic Management Journal · doi:10.1002/smj.4250171110 · Cited by 16,157 · see citing works
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868 · see citing works
Task-Technology Fit and Individual Performance
Goodhue, D. L., & Thompson, R. L. (1995) · MIS Quarterly · doi:10.2307/249689 · Cited by 6,006 · see citing works
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957 · see citing works
Reconceptualizing Organizational Routines as a Source of Flexibility and Change
Feldman, M. S., & Pentland, B. T. (2003) · Administrative Science Quarterly · doi:10.2307/3556620 · Cited by 4,020 · see citing works
A New Model of Work Role Performance: Positive Behavior in Uncertain and Interdependent Contexts
Griffin, M. A., Neal, A., & Parker, S. K. (2007) · Academy of Management Journal · doi:10.5465/amj.2007.24634438 · Cited by 2,533 · see citing works
Restructuring the Classroom: Conditions for Productive Small Groups
Cohen, E. G. (1994) · Review of Educational Research · doi:10.3102/00346543064001001 · Cited by 2,120 · see citing works
The Impact of Technostress on Role Stress and Productivity
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & Ragu-Nathan, T. S. (2007) · Journal of Management Information Systems · doi:10.2753/mis0742-1222240109 · Cited by 1,904 · see citing works
10 Sociomateriality: Challenging the Separation of Technology, Work and Organization
Orlikowski, W. J., & Scott, S. V. (2008) · Academy of Management Annals · doi:10.5465/19416520802211644 · Cited by 2,571 · see citing works
The design and use of performance management systems: an extended framework for analysis
Ferreira, A., & Otley, D. (2009) · Management Accounting Research · doi:10.1016/j.mar.2009.07.003 · Cited by 1,412 · see citing works
Typologies as a Unique Form of Theory Building: Toward Improved Understanding and Modeling
Doty, D. H., & Glick, W. H. (1994) · The Academy of Management Review · doi:10.5465/amr.1994.9410210748 · Cited by 1,716 · see citing works
Role conflict and ambiguity as critical variables in a model of organizational behavior
House, R. J., & Rizzo, J. R. (1972) · Organizational Behavior and Human Performance · doi:10.1016/0030-5073(72)90030-x · Cited by 1,068 · see citing works
Sarker, S., Chatterjee, S., Xiao, X., & Elbanna, A. (2019) · MIS Quarterly · doi:10.25300/misq/2019/13747 · Cited by 576 · see citing works
Socio-Technical Systems Theory: An Intervention Strategy for Organizational Development
Appelbaum, S. H. (1997) · Management Decision · doi:10.1108/00251749710173823 · Cited by 551 · see citing works
Majchrzak, A., Malhotra, A., & John, R. (2005) · Information Systems Research · doi:10.1287/isre.1050.0044 · Cited by 350 · see citing works
Artificial Intelligence, Discretion, and Bureaucracy
Bullock, J. B. (2019) · The American Review of Public Administration · doi:10.1177/0275074019856123 · Cited by 346 · see citing works
Volberda, H. W., van der Weerdt, N., Verwaal, E., Stienstra, M., & Verdu, A. J. (2012) · Organization Science · doi:10.1287/orsc.1110.0687 · Cited by 254 · see citing works
Toward a Core Typology of Service Organizations
Mills, P. K., & Margulies, N. (1980) · The Academy of Management Review · doi:10.5465/amr.1980.4288746 · Cited by 271 · see citing works
Socio-Technical Agency in Financial Markets: The Case of the Stock Ticker
Preda, A. (2006) · Social Studies of Science · doi:10.1177/0306312706059543 · Cited by 218 · see citing works
Narayanan, S., Jayaraman, V., Luo, Y., & Swaminathan, J. M. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.05.001 · Cited by 202 · see citing works
Handley, S. M., & Benton, W. C. (2013) · Journal of Operations Management · doi:10.1016/j.jom.2012.12.003 · Cited by 198 · see citing works
Ribeiro, B., Meckin, R., Balmer, A., & Shapira, P. (2023) · Research Policy · doi:10.1016/j.respol.2022.104607 · Cited by 51 · see citing works
Leonardi, P. M. (2025) · Information and Organization · doi:10.1016/j.infoandorg.2025.100582 · Cited by 47 · see citing works
- Authors
- Perrow, C.
- Corresponding author
- Perrow, Charles
- Venue
- American Sociological Review
- Publisher
- SAGE Publications
- Published
- 1967-04
- Volume
- 32
- Issue
- 2
- Pages
- 194
- ISSN
- 0003-1224 (ISSN-L)
- OpenAlex
- W2016202056
- Cited by
- 2,509
- References
- 0
- Citations by year
- 2026: 21 · 2025: 26 · 2024: 30 · 2023: 43 · 2022: 49 · 2021: 43 · 2020: 67 · 2019: 55 · 2018: 51 · 2017: 50 · 2016: 69 · 2015: 67 · 2014: 79 · 2013: 74 · 2012: 86
- FWCI
- 22.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Sociological Review (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management and Organizational Studies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Management Theory and Practice
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Organizational Management and Innovation
- Keywords
- organizational comparison, organizational technology, craft technology, engineering technology, task structure, control and coordination, management levels, social structure, organizational goals, organizational theory
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