Author List: Reinig, Bruce A.; Briggs, Robert O.; Nunamaker, Jr., Jay F.;
Journal of Management Information Systems, 2007, Volume 23, Issue 4, Page 143-161.
Ideation is a key step in organizational problem solving, so researchers have developed a variety of technological interventions for improving ideation quality, which we define as the degree to which an ideation activity produces ideas that are helpful in attaining a goal. In this paper, we examine the four measures typically used to evaluate ideation quality, including idea-count, sum-of-quality, average-quality, and good-idea-count, and discuss their validity and potential biases. An experimental study comparing three levels of social comparison was used to illustrate the differences in the ideation quality measures and revealed that research conclusions were dependent on the measure used. Based on our analysis of the measures and experimental results, we recommend that only good-idea-count be used as a measure to evaluate ideation treatments and call into question research that has based its findings on the other measures. Finally, we discuss implications for research and other potential approaches to evaluating ideation quality.
Keywords: construct validity; electronic brainstorming; group support systems; idea quality; idea quantity; ideation
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#142 0.206 creativity ideas idea creative individual generation techniques individuals problem support cognitive ideation stimuli memory generate enhance generated solutions solving quality
#124 0.158 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#44 0.126 approach analysis application approaches new used paper methodology simulation traditional techniques systems process based using proposed method present provides various
#106 0.124 integration present offer processes integrating current discuss perspectives related quality literature integrated benefits measures potential regarding issues finally taken propose
#145 0.117 differences analysis different similar study findings based significant highly groups popular samples comparison similarities non-is variety reveals imitation versus suggests
#115 0.054 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better include means van dimensions assessing
#127 0.053 systems information research theory implications practice discussed findings field paper practitioners role general important key grounded researchers domain new identified