The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The Platform Organization: Recombining Strategies, Structures, and Surprises
Abstract
The global technology strategy of Olivetti, a leading European computer firm, is analyzed over the last decade in order to illustrate how high-tech firms undergo transformations which not only tend to destroy their best core competencies, but also affect their very business identity. Task uncertainty is so pronounced that conventional ways of looking at the organizational structures and processes, such as the transaction costs approach or the strategy-structure link, need to be amended in favor of a more dynamic perspective. Such a perspective looks at organizations as platforms, or contexts, out of which specific structures are extracted, tried out and discarded in a pragmatic manner. A platform is a metaorganization, a formative context that molds structures, and routines shaping them into well-known forms, such as the hierarchy, the matrix and even the network, but on a highly volatile basis. Hence, the platform organization may appear to be confused and inefficient but its value lies in its readiness to sport whatever organizational form is required under the circumstances. Platforms are characterized by surprises, and organization members, no matter how they see themselves after the fact, are busy improvising and tinkering. Drawing on similar studies carried out in Silicon Valley, one can draw the conclusion that high-tech firms can survive if they are smart at doing what ‘savages do daily’, i.e. bricolage In searching out the truth be ready for the unexpected, for it is difficult to find and puzzling when you find it. (Heraclitus) Men and women confronting change are never fully prepared for the demands of the moment, but they are strengthened to meet uncertainty if they can claim a history of improvisation and a habit of reflection … Learning to savor the vertigo of doing without answers or making shift and making do with fragmentary ones opens up the pleasures of recognizing and playing with pattern, finding coherence within complexity, sharing within multiplicity. (Mary C. Bateson)When the artists and sculptors I know work, there’s a sort of free play idea. You try things; you experiment. It’s kind of naive and childish, it’s like kids in a playpen. Scientists work that way too — for example genetic scientists that I have been involved with seem to work similarly. It’s kind of like throwing things out and then following the ideas, rather than predicting where you’re going to go. (Frank O, Gehry)
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
Cites
Coase, R. H. (1937) · Economica · doi:10.1111/j.1468-0335.1937.tb00002.x · Cited by 23,972
A Dynamic Theory of Organizational Knowledge Creation
Nonaka, I. (1994) · Organization Science · doi:10.1287/orsc.5.1.14 · Cited by 17,809
Knowledge of the firm, combinative capabilities, and the replication of technology
Kogut, B., & Zander, U. (1992) · Organization Science · doi:10.1287/orsc.3.3.383 · Cited by 12,939
Fading Memories: A Process Theory of Strategic Business Exit in Dynamic Environments
Burgelman, R. A. (1994) · Administrative Science Quarterly · doi:10.2307/2393493 · Cited by 1,018
Cited by
Organizing for Innovation in the Digitized World
Yoo, Y., Boland, R. J., Lyytinen, K., & Majchrzak, A. (2012) · Organization Science · doi:10.1287/orsc.1120.0771 · Cited by 2,469
Theorizing Practice and Practicing Theory
Feldman, M. S., & Orlikowski, W. J. (2011) · Organization Science · doi:10.1287/orsc.1100.0612 · Cited by 1,753
Kellogg, K. C., Orlikowski, W. J., & Yates, J. (2006) · Organization Science · doi:10.1287/orsc.1050.0157 · Cited by 802
George, J. M. (2007) · Academy of Management Annals · doi:10.5465/078559814 · Cited by 781
Eggers, J. P., & Kaplan, S. (2009) · Organization Science · doi:10.1287/orsc.1080.0401 · Cited by 774
Metadata
- Authors
- Ciborra, C. U.
- Venue
- Bricolage, Care and Information
- Publisher
- Palgrave Macmillan UK
- Published
- 2009
- Pages
- 134-158
- OpenAlex
- W2042619154
- Cited by
- 386
- References
- 4
- FWCI
- 74.05
- 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.