The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Media and Group Cohesion: Relative Influences on Social Presence, Task Participation, and Group Consensus1
Abstract
Organizations deploy advanced communication media such as audio and videoconferencing to enhance and extend group communication inter-actions. However, established groups (i.e., groups with a history of working together) can view and use the same technology differently from groups without any past experiences of working together. This study examines the relative influences of media condition and group cohesion on social presence, task participation, and group consensus. Results from a controlled laboratory experiment with 45 triads of college students working on a decision-making task showed that media condition (audio conferencing vs. desktop video- conferencing) has significantly smaller influences on social presence and task participation than group cohesion in established groups. The study found that influence of group cohesion over social presence is additive, rather than substitutive, to that of media condition. The study also established that task participation played a more important role than social presence in determining the degree of consensus among group members in computer-mediated communication environments.
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Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
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
Developmental sequence in small groups.
Tuckman, B. W. (1965) · Psychological Bulletin · doi:10.1037/h0022100 · Cited by 5,778
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957
Estimating within-group interrater reliability with and without response bias
James, L. R., Demaree, R. G., & Wolf, G. (1984) · Journal of Applied Psychology · doi:10.1037/0021-9010.69.1.85 · Cited by 4,774
Information richness. A new approach to managerial behavior and organization design
Daft, R. L., & Lengel, R. H. (1983) · doi:10.21236/ada128980 · Cited by 2,263
CHANNEL EXPANSION THEORY AND THE EXPERIENTIAL NATURE OF MEDIA RICHNESS PERCEPTIONS.
Carlson, J. R., & Zmud, R. W. (1999) · Academy of Management Journal · doi:10.2307/257090 · Cited by 1,270
Gender differences in work-family conflict
Duxbury, L. E., & Higgins, C. A. (1991) · Journal of Applied Psychology · doi:10.1037/0021-9010.76.1.60 · Cited by 782
Group Cohesion and Performance: A Meta-Analysis
Evans, C. R., & Dion, K. L. (1991) · Small Group Research · doi:10.1177/1046496491222002 · Cited by 535
Cited by
Media, Tasks, and Communication Processes: A Theory of Media Synchronicity1
Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008) · MIS Quarterly · doi:10.2307/25148857 · Cited by 1,511
A Systematic Review of Social Presence: Definition, Antecedents, and Implications
Oh, C. S., Bailenson, J. N., & Welch, G. F. (2018) · Frontiers in Robotics and AI · doi:10.3389/frobt.2018.00114 · Cited by 1,032
“Of the nine studies identified in Table 1 ( de Greef and Ijsselsteijn, 2001; Yoo and Alavi, 2001; Sallnäs, 2005, Study 1 & 2; Bailenson et al., 2006; Bente et al., 2008; Homer et al., 2008; de Greef, 2014; Gimpel et al., 2016) that offered a comparison between audio-only and audio-video modalities,…”
BackgroundHassanein, K., & Head, M. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.018 · Cited by 986
The acceptance and use of a virtual learning environment in China
van Raaij, E. M., & Schepers, J. J. L. (2008) · Computers & Education · doi:10.1016/j.compedu.2006.09.001 · Cited by 940
Lee, A. R., Son, S.-M., & Kim, K. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.011 · Cited by 814
Perceived information quality in data exchanges: Effects on risk, trust, and intention to use
Nicolaou, A. I., & McKnight, D. H. (2006) · Information Systems Research · doi:10.1287/isre.1060.0103 · Cited by 682
The 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
Understanding the effect of e-learning on individual performance: The role of digital literacy
Mohammadyari, S., & Singh, H. (2015) · Computers & Education · doi:10.1016/j.compedu.2014.10.025 · Cited by 496
Consumer behavior in online game communities: A motivational factor perspective
Hsu, C.-L., & Lu, H.-P. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2005.09.001 · Cited by 494
Understanding social presence in text‐based online learning environments
Kehrwald, B. (2008) · Distance Education · doi:10.1080/01587910802004860 · Cited by 424
Cui, G., Lockee, B., & Meng, C. (2013) · Education and Information Technologies · doi:10.1007/s10639-012-9192-1 · Cited by 288
Communication Media Repertoires: Dealing with the Multiplicity of Media Choices1
Watson-Manheim, M. B., & Bélanger, F. (2007) · MIS Quarterly · doi:10.2307/25148791 · Cited by 276
Investigating Determinants of Software Developers' Intentions to Follow Methodologies
(2003) · Journal of Management Information Systems · doi:10.1080/07421222.2003.11045751 · Cited by 272
The Impact of Anthropomorphism on Consumers’ Purchase Decision in Chatbot Commerce
Han, M. C. (2021) · Journal of Internet Commerce · doi:10.1080/15332861.2020.1863022 · Cited by 220
Going with the Flow: Predicting Online Purchase Intentions
Korzaan, M. L. (2003) · Journal of Computer Information Systems · doi:10.1080/08874417.2003.11647530 · Cited by 214
O’Leary, M. B., Wilson, J. M., & Metiu, A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.4.13 · Cited by 191
Schuetzler, R. M., Giboney, J. S., Grimes, G. M., & Nunamaker, J. F. (2018) · Decision Support Systems · doi:10.1016/j.dss.2018.08.011 · Cited by 154
“As a communication medium allows for richer content, the media evokes a greater sense of social presence compared to less rich media [24] and can give additional context to communication [25], thus increasing social presence.”
BackgroundYeou, M. (2016) · Journal of Educational Technology Systems · doi:10.1177/0047239515618464 · Cited by 141
Mäntymäki, M., & Riemer, K. (2014) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.12.010 · Cited by 112
Measuring perceived social presence in distributed learning groups
Kreijns, K., Kirschner, P. A., Jochems, W., & van Buuren, H. (2011) · Education and Information Technologies · doi:10.1007/s10639-010-9135-7 · Cited by 105
Learning-by-Teaching Without Audience Presence or Interaction: When and Why Does it Work?
Lachner, A., Hoogerheide, V., van Gog, T., & Renkl, A. (2022) · Educational Psychology Review · doi:10.1007/s10648-021-09643-4 · Cited by 77
An examination of work exhaustion in the mobile enterprise environment
Kim, H. J., Lee, C. C., Yun, H., & Im, K. S. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.07.009 · Cited by 45
Zhang, X., Xu, T., Wei, X., Tang, J., & Ordonez de Pablos, P. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-10-2022-0791 · Cited by 40
(2012) · Academy of Information and Management Sciences journal · Cited by 22
Teubner, T., Adam, M., Camacho, S., & Hassanein, K. (2022) · Information Systems Management · doi:10.1080/10580530.2020.1871533 · Cited by 17
Social presence and use of Internet-delivered interventions: a multi-method approach
Crutzen, R., Cyr, D., Larios, H., Ruiter, R. A. C., & de Vries, N. K. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057067 · Cited by 12
Log Out or Stay Connected? Unveiling the Intention for Continuous Use in the Metaverse
Chong, K. M., Cham, T.-H., Lau, E., Wong, B. K. M., & Syed Annuar, S. N. (2023) · Studies in Computational Intelligence · doi:10.1007/978-3-031-48397-4_1 · Cited by 4
Metadata
- Authors
- Yoo, Y., & Alavi, M.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2001-09-01
- Volume
- 25
- Issue
- 3
- Pages
- 371-390
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1563826891
- Cited by
- 678
- References
- 10
- FWCI
- 15.22
- Type
- journal article
- Language
- en
- Open access
- closed
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