Interaction Between Groupthink Predictors and Maintaining Their Moderate Values

The purpose of the paper is to examine how groupthink predictors interact with each other and identify the movement of their values. That can simplify how to prevent groupthink. Survey data was collected from 315 employees of working groups. The survey was used to collect groupthink data through its eight predictors. Multiple linear regression was used for analyzing data collected from the survey. All groupthink predictors correlate with each other, but the study also shows a division of predictors into positive and negative predictors. When positive predictors have a high value, negative predictors will have a low value and vice versa. That shows that it is not recommended to have a high or low value of groupthink predictors, because that may cause groupthink. Due to the lack of research conducted on the questionnaire, the main research challenge was to establish a correlation between those new predictors and to explain some of the questions raised in the criticism of the original theory.