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Cited by 165

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A Theory of Electronic Propinquity: Mediated Communication in Organizations

Korzenny, Felipe·1978·Communication Research

Abstract

This paper proposes a theoretical approach to mediated communication in organizations. It is argued that the man-machine interface in mediated human communication is better dealt with when a comprehensive theoretical approach is used, than when separate communication devices are tested as they appear in the market, such as video-teleconferencing. Propinquity is considered to be the system's trait which is essential for the continuation of the human communication system in organizations. In a structural-functional analysis, six propositions, 15 derived corollaries, and two-limits propositions are presented. The variables included in the propositions are: (a) perceived propinquity; (b) perceived bandwidth; (c) perceived complexity of the information; (d) perceived degree of mutual directionality of the channel; (e) communication skills; (f) perceived communication rules; (g) perceived number of choices among channels; (h) perceived conflict; and (i) perceived turbulence in the environment. Evidence from past research is used to support the perspective presented.

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Metadata

Authors
Korzenny, F.
Venue
Communication Research
Published
1978-01
Volume
5
Issue
1
Pages
3-24
ISSN
  • 0093-6502 (ISSN-L)
  • 1552-3810
OpenAlex
W2170355232
Cited by
165
References
0
FWCI
11.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Theory of Electronic Propinquity: Mediated Communication in Organizations. https://app.cochat.ai/papers/10.1177/009365027800500101
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Korzenny, F. (1978). A Theory of Electronic Propinquity: Mediated Communication in Organizations. Communication Research. https://doi.org/10.1177/009365027800500101

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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.