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Cited by 294

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Interactivity and Communication Mode Choice in Ongoing Management Groups

Zack, Michael H.·1993·Information Systems Research

Abstract

Management is communication intensive and, therefore, managers may derive benefits from computer-based alternatives to the traditional communication modes of face-to-face (FTF), telephone, and written memo. This research examined the use of electronic messaging (EM) by ongoing management groups performing a cooperative task. By means of an in-depth multimethod case study of the editorial group of two daily newspapers, it examined the fit between the interactivity of the chosen communication mode (FTF vs. EM) and the mode of discourse it was used for (alternation vs. interaction/discussion). Two propositions were derived from this exploratory study. The first proposes that FTF, being highly interactive, is appropriate for building a shared interpretive context among group members, while CMC, being less interactive, is more appropriate for communicating within an established context. Groups exhibiting effective communication will use FTF primarily for interactive discourse and EM for discourse consisting primarily of alternating adjacency pairs. The second proposes that to the extent that the appropriate communication modes are chosen, communication will be more effective.

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Metadata

Authors
Zack, M. H.
Venue
Information Systems Research
Published
1993-09
Volume
4
Issue
3
Pages
207-239
ISSN
  • 1047-7047 (ISSN-L)
  • 1526-5536
OpenAlex
W2132277798
Cited by
294
References
3
FWCI
4.53
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Interactivity and Communication Mode Choice in Ongoing Management Groups. https://app.cochat.ai/papers/10.1287/isre.4.3.207
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Zack, M. H. (1993). Interactivity and Communication Mode Choice in Ongoing Management Groups. Information Systems Research. https://doi.org/10.1287/isre.4.3.207

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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.