Author List: Gopal, Abhijit; Bostrom, Robert P.; Chin, Wynne W.;
Journal of Management Information Systems, 1992, Volume 9, Issue 3, Page 45-69.
Adaptive structuration theory (AST) provides a sound basis from which to study the use of group support systems (GSS). The need for a theoretical approach such as AST is especially urgent because it helps explain the process of GSS use, thereby providing insights into the reasons for inconsistent research results. This paper illustrates the development of a research model based on AST, and reports the results of a study conducted on the basis of this model. The independent variables in the study were task and technology. The model's process component was represented by the attitudes of group members toward the technology they used. The six attitude dimensions were obtained from AST as well as from other information technology researchers. The model was tested using the partial least squares (PLS) technique.
Keywords: adaptive structuration theory; group decision process; group decision support systems.
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#233 0.207 group gss support groups systems brainstorming research process electronic members results paper effects individual ebs using used anonymity ideas discussion
#18 0.184 adaptive theory structuration appropriation structures technology use theoretical ast capture believe consensus technologies offices context based initial advanced exploring findings
#191 0.144 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#9 0.105 using subjects results study experiment did conducted task time used experienced use preference experimental presented decision-making empirical significantly effects better
#140 0.099 model use theory technology intention information attitude acceptance behavioral behavior intentions research understanding systems continuance models planned percent attitudes predict
#11 0.087 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem