The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Relational Development in Computer-Supported Groups1
Abstract
This study examines how group attitudes and outcomes evolve over time with repeated use of a group support system. Social Information Processing (SIP) theory, which suggests that relational intimacy may take longer to develop in computer-supported groups, was used as the basis for testing a temporally bounded model of group behavior. The basic argument underlying this model is that computer-supported groups, given adequate time, will exchange enough social information to develop strong relational links. Thus, while computer support was expected to limit group interactions initially, the model predicted that, over a period of time, such constraints would dissipate. The results show evidence of such shifts among computer-supported groups. Attitudes of GSS users changed over time from highly negative to somewhat positive; outcomes improved more slowly. The turnaround in attitudes of users—toward each other and the interaction process—support the SIP perspective that repeated use of computer support - despite some inherent initial restrictions-can help groups affiliate.
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Cites
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
Group Cohesion and Performance: A Meta-Analysis
Evans, C. R., & Dion, K. L. (1991) · Small Group Research · doi:10.1177/1046496491222002 · Cited by 535
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Jarvenpaa, S. L., & Leidner, D. E. (1999) · Organization Science · doi:10.1287/orsc.10.6.791 · Cited by 2,903
Out of Sight, Out of Sync: Understanding Conflict in Distributed Teams
Hinds, P. J., & Bailey, D. E. (2003) · Organization Science · doi:10.1287/orsc.14.6.615.24872 · Cited by 974
Toward Contextualized Theories of Trust: The Role of Trust in Global Virtual Teams
Jarvenpaa, S. L., Shaw, T. R., & Staples, D. S. (2004) · Information Systems Research · doi:10.1287/isre.1040.0028 · Cited by 773
Avolio (2000) · doi:10.1016/s1048-9843(00)00062-x · Cited by 767
Virtual Teams versus Face‐to‐Face Teams: An Exploratory Study of a Web‐based Conference System*
Warkentin, M. E., Sayeed, L., & Hightower, R. (1997) · Decision Sciences · doi:10.1111/j.1540-5915.1997.tb01338.x · Cited by 663
The formation of group norms in computer-mediated communication
Postmes, T., Spears, R., & Lea, M. (2000) · Human Communication Research · doi:10.1093/hcr/26.3.341 · Cited by 557
Individual Swift Trust and Knowledge-Based Trust in Face-to-Face and Virtual Team Members
Robert, L. P., Denis, A. R., & Hung, Y.-T. C. (2009) · Journal of Management Information Systems · doi:10.2753/mis0742-1222260210 · Cited by 514
Introduction to the Special Issue: Communication Processes for Virtual Organizations
DeSanctis, G., & Monge, P. (1999) · Organization Science · doi:10.1287/orsc.10.6.693 · Cited by 495
Transformational leadership in context: Face-to-face and virtual teams
Purvanova, R. K., & Bono, J. E. (2009) · The Leadership Quarterly · doi:10.1016/j.leaqua.2009.03.004 · Cited by 472
Zhou, L., Burgoon, J. K., Nunamaker, J. F., & Twitchell, D. (2004) · Group Decision and Negotiation · doi:10.1023/b:grup.0000011944.62889.6f · Cited by 440
Virtual Work: Bridging Research Clusters
Raghuram, S., Hill, N. S., Gibbs, J. L., & Maruping, L. M. (2019) · Academy of Management Annals · doi:10.5465/annals.2017.0020 · Cited by 426
Breuer, C., Hüffmeier, J., & Hertel, G. (2016) · Journal of Applied Psychology · doi:10.1037/apl0000113 · Cited by 375
Communication in virtual teams: a conceptual framework and research agenda
Marlow, S. L., Lacerenza, C. N., & Salas, E. (2017) · Human Resource Management Review · doi:10.1016/j.hrmr.2016.12.005 · Cited by 291
Silver surfers: Training and evaluating internet use among older adult learners
Cody, M. J., Dunn, D., Hoppin, S., & Wendt, P. (1999) · Communication Education · doi:10.1080/03634529909379178 · Cited by 269
How Classroom Environment and Student Engagement Affect Learning in Internet-based MBA Courses
Arbaugh, J. B. (2000) · Business Communication Quarterly · doi:10.1177/108056990006300402 · Cited by 260
Does the Community of Inquiry Framework Predict Outcomes in Online MBA Courses?
Arbaugh, J. B. (2008) · The International Review of Research in Open and Distributed Learning · doi:10.19173/irrodl.v9i2.490 · Cited by 230
O’Leary, M. B., Wilson, J. M., & Metiu, A. (2014) · MIS Quarterly · doi:10.25300/misq/2014/38.4.13 · Cited by 191
University of Oklahoma, U., Carte, T., Chidambaram, L., & University of Oklahoma, U. (2004) · Journal of the Association for Information Systems · doi:10.17705/1jais.00060 · Cited by 165
Self-citationThe communal resource and information systems
von Krogh, G. (2002) · The Journal of Strategic Information Systems · doi:10.1016/s0963-8687(02)00006-9 · Cited by 163
Getting away from them all: Managing exhaustion from social interaction with telework
Windeler, J. B., Chudoba, K. M., & Sundrup, R. Z. (2017) · Journal of Organizational Behavior · doi:10.1002/job.2176 · Cited by 163
The Role of Shared Mental Model Development in Understanding Virtual Team Effectiveness
Maynard, M. T., & Gilson, L. L. (2014) · Group & Organization Management · doi:10.1177/1059601113475361 · Cited by 143
Surviving the paradoxes of virtual teamwork
Dubé, L., & Robey, D. (2009) · Information Systems Journal · doi:10.1111/j.1365-2575.2008.00313.x · Cited by 140
Drivers and Outcomes of Brand Relationship Quality in the Context of Online Social Networks
Pentina, I., Gammoh, B. S., Zhang, L., & Mallin, M. (2013) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415170303 · Cited by 111
Blaskovich, J. L. (2008) · Journal of Information Systems · doi:10.2308/jis.2008.22.1.27 · Cited by 81
Collie, K., Kreshka, M. A., Ferrier, S., Parsons, R., Graddy, K., Avram, S., Mannell, P., Chen, X., Perkins, J., & Koopman, C. (2007) · Psycho-Oncology · doi:10.1002/pon.1145 · Cited by 69
An Exploratory Study of Trust Dynamics in Work-Oriented Virtual Teams
Kuo, F.-Y., & Yu, C.-P. (2009) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2009.01472.x · Cited by 60
(2004) · TU/e Research Portal · Cited by 5
Metadata
- Authors
- Chidambaram, L.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 1996-06-01
- Volume
- 20
- Issue
- 2
- Pages
- 143-165
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W2111889955
- Cited by
- 554
- References
- 2
- FWCI
- 15.23
- Type
- journal article
- Language
- en
- Open access
- closed
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