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Cited by 161

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Organizational size and knowledge flow: a proposed theoretical link

Serenko, Alexander, Bontis, Nick, Hardie, Timothy·2007·Journal of Intellectual Capital

Abstract

Purpose: This paper seeks to present a theory clarifying the negative relationship between organizational unit size and knowledge flows referred to as Gita's Rule. Design/methodology/approach: This paper draws from the literature and develops a grounded theory. Various applications and propositions are suggested through this theoretical lens. Findings: It is suggested that, as the size of an organizational unit increases, the effectiveness of internal knowledge flows dramatically diminishes and the degree of intra‐organizational knowledge sharing decreases. Research limitations/implications: It is proposed that 150 employees represents a general breaking point, after which knowledge sharing reduces due largely to increased complexity in the formal structure, weaker interpersonal relationships and lower trust, decreased connective efficacy, and less effective communication. Practical implications: The research points to the key dimension of organizational size that must be considered when developing models and reviewing case studies. Originality/value: The research reported in this paper is among the first to explicitly tackle the issue of how knowledge flows are affected by organizational size. A theory is developed and several research propositions are introduced for future studies.

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Metadata

Authors
Serenko, A., Bontis, N., & Hardie, T.
Venue
Journal of Intellectual Capital
Publisher
Emerald
Published
2007-10-23
Volume
8
Issue
4
Pages
610-627
ISSN
1469-1930 (ISSN-L)
OpenAlex
W2089942076
Cited by
161
References
4
FWCI
28.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Organizational size and knowledge flow: a proposed theoretical link. https://app.cochat.ai/papers/10.1108/14691930710830783
The paper
Serenko, A., Bontis, N., & Hardie, T. (2007). Organizational size and knowledge flow: a proposed theoretical link. Journal of Intellectual Capital. https://doi.org/10.1108/14691930710830783

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.