This paper is part of a broader research program by Ohms (2025c) that provides a comprehensivemethodological framework for investigating moderating relationships among cognitive biasesand decision-making processes in the Singaporean workplace. It builds upon the foundationalfactors established in prior studies, including the identification of research gaps through asystematic literature review by Ohms (2025f), the development of a research framework andhypotheses by Ohms (2025e), and the design of the methodology by Ohms (2025d). It outlinesthe detailed procedures for conducting moderation analysis. Further, it builds on the outcomes ofthe data validation and preliminary analysis by Ohms (2025a) and the empirical analysis of thedirect effects by Ohms (2025b). Accordingly, this paper describes advanced statistical techniquesfor examining how time pressure and complexity affect the relationships between cognitivebiases (overconfidence bias, herding bias, decision avoidance bias) and critical stages ofemployee decision-making (evaluating information, searching information, procrastination). Bydetailing variable preparation, construction of interaction terms, applying multiple regressionanalysis with robust standard errors, and interpreting moderation effects, this paper contributes arigorous and transparent approach to enhancing analytical depth in behavioural economics andmanagement research, particularly in Singapore.
Benjamin Ohms (Tue,) studied this question.