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Cited by 169

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Communication Concurrency and the New Media: A New Dimension for Media Richness

VALACICH, JOSEPH S., PARANKA, DAVID, GEORGE, JOEY F., NUNAMAKER, J. F.·1993·Communication Research

Abstract

An experiment investigated the ideational performance of groups using verbal or computer-mediated communication while face-to-face or distributed from one another. Groups using computer mediation outperformed groups using verbal communication. The proximity manipulation had no significant effects on performance. It is proposed that the difference between the new media (e.g., computer-mediated) and more traditional media (e.g., verbal) relates to the medium's concurrency—defined as the number of distinct communication episodes a channel can effectively support. Computer mediation can support an unlimited number of parallel and distinct communication episodes; traditional media support serial communication and therefore have a fundamentally different concurrency.

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Crossref · 10.1177/009365093020002004

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Metadata

Authors
VALACICH, J. S., PARANKA, D., GEORGE, J. F., & NUNAMAKER, J. F.
Venue
Communication Research
Published
1993-04
Volume
20
Issue
2
Pages
249-276
ISSN
  • 0093-6502 (ISSN-L)
  • 1552-3810
OpenAlex
W2133782991
Cited by
169
References
2
FWCI
9.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Communication Concurrency and the New Media: A New Dimension for Media Richness. https://app.cochat.ai/papers/10.1177/009365093020002004
The paper
VALACICH, J. S., PARANKA, D., GEORGE, J. F., & NUNAMAKER, J. F. (1993). Communication Concurrency and the New Media: A New Dimension for Media Richness. Communication Research. https://doi.org/10.1177/009365093020002004

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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.