Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 337

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A Study of Influence in Computer-Mediated Group Decision Making

Zigurs, Ilze, Poole, Μ. Scott, DeSanctis, Gerardine L.·1988·MIS Quarterly

Abstract

An emerging body of research in group decision support systems (GDSS) provides evidence that computer technology can and does impact the quality of decision making in groups. Most GDSS research is oriented toward examining the effects of a computer system on group outcomes, typically decision quality or group consensus, with the process itself often treated as a "black box." The research reported in this article addresses the need for a closer, microlevel examination of group process. An important group variable, namely influence behavior, was isolated and examined at various levels and by multiple methods. A model of specific GDSS effects on influence behavior was developed, based on an information exchange view of decision making and on the impact of a GDSS as a communication channel. Based on the research questions of interest in the study, several propositions and hypotheses were advanced and empirically tested on a specific implementation of a GDSS. Results were analyzed both quantitatively and qualitatively. The major empirical findings of the study showed no significant difference between the overall amount of influence behavior attempted in computer-supported versus unsupported groups, although significant differences were found in the pattern of influence behaviors, i.e., the different types of behaviors used. In addition, the distribution of influence behavior was more even in GDSS groups than in unsupported groups on one of two measures used. Empirical findings partially supported the research model, with indications that decisionmaking groups need more active guidance in understanding how to adapt computer support technology to their view of decision-making processes.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.2307/249136

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Cited by

Metadata

Authors
Zigurs, I., Poole, Μ. S., & DeSanctis, G. L.
Venue
MIS Quarterly
Publisher
MIS Quarterly
Published
1988-12-01
Volume
12
Issue
4
Pages
625-644
ISSN
  • 0276-7783 (ISSN-L)
  • 2162-9730
OpenAlex
W1549595874
Cited by
337
References
1
FWCI
15.22
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

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.