The DOI matches its Crossref record.
BOUNDARIES, HIERARCHIES AND NETWORKS IN COMPLEX SYSTEMS
Abstract
Models used in the understanding of complex entities, like organisations, are problematic in several respects. After an introductory discussion of this problem, this paper addresses the problems associated with the boundaries of complex systems, arguing that although boundaries do exist, they have a peculiar nature. Similarly, it is argued that although hierarchies form an important part of the structure of complex systems, they are not clearly defined or "nested" as is often assumed. Hierarchies should also in principle be transformable in a viable system. Finally, the usefulness of network models is investigated. The conclusion is that although network models have a structure similar to that of complex systems, they are subject to the same limitations all models of complexity are faced with. A few implications for our understanding of organisations are mentioned.
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
Complexity, Deconstruction and Relativism
Cilliers, P. (2005) · Theory, Culture & Society · doi:10.1177/0263276405058052 · Cited by 375
Self-citationBroadening the range of designs and methods for impact evaluations
Stern, E., Stame, N., Mayne, J., Forss, K., Davies, R., & Befani, B. (2012) · doi:10.22163/fteval.2012.100 · Cited by 369
Knowledge, Complexity, and Understanding
Cilliers, P. (2000) · Emergence · doi:10.1207/s15327000em0204_03 · Cited by 85
Self-citation
Metadata
- Authors
- CILLIERS, P.
- Venue
- International Journal of Innovation Management
- Publisher
- World Scientific Pub Co Pte Lt
- Published
- 2001-06
- Volume
- 05
- Issue
- 02
- Pages
- 135-147
- ISSN
- 1363-9196 (ISSN-L)
- 1757-5877
- OpenAlex
- W4253785930
- Cited by
- 320
- References
- 0
- FWCI
- 2.77
- Type
- journal article
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: BOUNDARIES, HIERARCHIES AND NETWORKS IN COMPLEX SYSTEMS. https://app.cochat.ai/papers/10.1142/s1363919601000312
- The paper
- CILLIERS, P. (2001). BOUNDARIES, HIERARCHIES AND NETWORKS IN COMPLEX SYSTEMS. International Journal of Innovation Management. https://doi.org/10.1142/s1363919601000312
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.