TY - JOUR
T1 - Using the four-quadrant model of think/feel/fast/ slow to understand the decision-making of self-managed superannuation fund trustees
AU - Colbeck, Roger
AU - D’Alessandro, Steven
AU - Minas, John
N1 - Publisher Copyright:
© 2026, Academy of Financial Services. All rights reserved.
PY - 2026/3/31
Y1 - 2026/3/31
N2 - This research focuses on decision-making by trustees of self-managed superannuation funds (SMSFs) in Australia. Behavioral attributes are examined using the four-quadrant model (FQM) developed by Lovric et al. (2010), comprising the cognitive, affective, controlled, and automatic quadrants. The FQM integrates two closely related dual-process theories (DPT). Both the DPT framework and the FQM draw on foundational principles from the cognitive and behavioral sciences. The result of the mixed methods study uses the FQM to explain investment decision-making. The dataset was examined using cluster analysis to identify underlying group structures, followed by regression modelling to assess the relationships between key variables. The model can also predict trustees who seek investment advice and those who act independently. The FQM was also associated with different styles of investment decision-making by the SMSF trustees and investors. Under the model, trustees and investors are classified as active or passive investors. A key finding of the research is that investment decision-making often includes emotions and feelings as overriding influences and nonrational behavior can, and does determine investment decisions.
AB - This research focuses on decision-making by trustees of self-managed superannuation funds (SMSFs) in Australia. Behavioral attributes are examined using the four-quadrant model (FQM) developed by Lovric et al. (2010), comprising the cognitive, affective, controlled, and automatic quadrants. The FQM integrates two closely related dual-process theories (DPT). Both the DPT framework and the FQM draw on foundational principles from the cognitive and behavioral sciences. The result of the mixed methods study uses the FQM to explain investment decision-making. The dataset was examined using cluster analysis to identify underlying group structures, followed by regression modelling to assess the relationships between key variables. The model can also predict trustees who seek investment advice and those who act independently. The FQM was also associated with different styles of investment decision-making by the SMSF trustees and investors. Under the model, trustees and investors are classified as active or passive investors. A key finding of the research is that investment decision-making often includes emotions and feelings as overriding influences and nonrational behavior can, and does determine investment decisions.
UR - https://www.scopus.com/pages/publications/105034912241
U2 - 10.61190/zsy7wg09
DO - 10.61190/zsy7wg09
M3 - Article
AN - SCOPUS:105034912241
SN - 1057-0810
VL - 34
SP - 43
EP - 69
JO - Financial Services Review
JF - Financial Services Review
IS - 1
ER -