This paper presents the development of a sensemaking support system (S³,S cube) for selecting improvement projects in a complex,small-volume batch production system of a premium car manufacturer. Contradicting subjective judgments can distort the group’s decision-making process because team members understand situations differently and are generally prone to behavioural biases. Production management teams often face unfamiliar situations where each team member must understand new phenomena individually before the team can make mutually understandable and acceptable decisions. SJT methods have proven valuable in the analysis of individual judgements as well as groupbased judgements where conflict becomes likely. averaging across judges) through the use of idiographic statistical analysis. SJT methods maintain close contact with ecological circumstances by employing the principle of representative design (which focuses on how the researcher obtains the stimuli for judgement) and avoiding unwarranted over-generalisations from nomothetic aggregation (e.g. This a posteriori decomposition is accomplished by first using multiple regression analysis to recover prediction equations for both the judgement and ecological systems and then using the Lens Model Equation to compare those systems. ![]() In contrast to more prescriptive approaches to decision analysis, the SJT approach analyses judgements by decomposing the judgement process after judgements have been rendered. Special advantages accrue to the SJT approach when criterion values (or correct values) for judgement are also available, as this permits the comparison of judgement processes to environmental processes and leads naturally to the generation of cognitive feedback as an aid to facilitate learning. ![]() Judgements are assumed to result from the integration of different cues or sources of perceptual information from the environment. Through its representational device, the Lens Model, SJT has become a widely used, systems-oriented perspective for analysing human judgement in specific ecological circumstances. Social Judgement Theory (SJT) evolved from Egon Brunswik's Probabilistic Functionalist psychology coupled with multiple correlation and regression-based statistical analysis.
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