The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use
Abstract
Theorizing about communication media attitudes and behaviors has drawn upon multiple theories (e.g., media richness, social influence). But these theories have often been pitted against each other rather than considered as complementary in more comprehensive studies. Furthermore, previous research has tended to focus more on newer communication media such as electronic mail rather than more traditional media. Finally, communication media research has studied attitudes toward media, use of media, and only occasionally media choice. Yet, all three dependent variables are important. This comprehensive survey hypothesized and tested multiple influences (based on multiple theories) in a study of media attitudes and behaviors. The media included electronic mail, fax, letters, and face-to-face meetings. The outcomes included media choice (an individual's decision to use a medium in a particular communication incident), media use (an individual's general pattern of use over time), and media attitudes (an individual's general subjective evaluation of media). Results suggested that a number of factors differentiated among media choices, including medium symbolism, message equivocality, distance between message partners, perceived media richness, number of message recipients, and perceived message recipients' attitudes. General attitudes toward the different media were influenced most consistently by perceived medium richness. New media attitudes were also influenced by person/technology interaction factors. General medium use was influenced by different factors for the different media. The results generally supported a comprehensive theoretical approach to understanding media attitudes and behaviors. All of the theories have some merit in explaining media attitudes and behaviors. But different factors, derived from different theories, were more important in accounting for each of the dependent variables'media choices, attitudes, and use. We hope that this investigation will help research in this area move toward the development of more integrative theoretical models.
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
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Productivity enhancement from computer-mediated communication: a systems contingency approach
Hiltz, S. R. (1988) · Communications of the ACM · doi:10.1145/53580.53583 · Cited by 91
Cited by
10 Sociomateriality: Challenging the Separation of Technology, Work and Organization
Orlikowski, W. J., & Scott, S. V. (2008) · Academy of Management Annals · doi:10.5465/19416520802211644 · Cited by 2,571
Toward Meaningful Engagement: A Framework for Design and Research of Gamified Information Systems1
Liu, D., Santhanam, R., & Webster, J. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.4.01 · Cited by 521
Self-citationThe Spatial, Temporal, and Configurational Characteristics of Geographic Dispersion in Teams1
O’Leary, M. B., & Cummings, J. N. (2007) · MIS Quarterly · doi:10.2307/25148802 · Cited by 497
Klitmøller, A., & Lauring, J. (2013) · Journal of World Business · doi:10.1016/j.jwb.2012.07.023 · Cited by 287
Measuring Online Communication Attitude: Instrument Development and Validation
Ledbetter, A. M. (2009) · Communication Monographs · doi:10.1080/03637750903300262 · Cited by 133
Metadata
- Authors
- Treviño, L. K., Webster, J., & Stein, E. W.
- Venue
- Organization Science
- Published
- 2000-04
- Volume
- 11
- Issue
- 2
- Pages
- 163-182
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2166201974
- Cited by
- 265
- References
- 3
- FWCI
- 28.35
- 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: Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use. https://app.cochat.ai/papers/10.1287/orsc.11.2.163.12510
- The paper
- Treviño, L. K., Webster, J., & Stein, E. W. (2000). Making Connections: Complementary Influences on Communication Media Choices, Attitudes, and Use. Organization Science. https://doi.org/10.1287/orsc.11.2.163.12510
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.