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Professional trait scepticism and behavioural bias in decision-making by financial professionals

Thesis (PhD (Financial Sciences))--University of Pretoria, 2024.

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Other Authors: Hall, J.H. (John Henry)
Format: Thesis
Language:English
Published: University of Pretoria 2024
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access_status_str Open Access
author2 Hall, J.H. (John Henry)
author_browse Hall, J.H. (John Henry)
author_facet Hall, J.H. (John Henry)
collection Thesis
dc_rights_str_mv © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD (Financial Sciences))--University of Pretoria, 2024.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:30.755Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/96954 Professional trait scepticism and behavioural bias in decision-making by financial professionals Hall, J.H. (John Henry) charisa.deklerk@up.ac.za Enslin, Zack De Klerk, Charisa UCTD Sustainable Development Goals (SDGs) Decision-making biases Financial professionals Professional scepticism Trait of professional scepticism Heuristics Thesis (PhD (Financial Sciences))--University of Pretoria, 2024. Professional scepticism has received attention from various stakeholders, such as policy-makers, regulators, practitioners, and the public, in the last few years. This interest was driven by various negative events which have been attributed to financial professionals’ failure to apply professional scepticism. Such incidents have damaged the reputation of the finance profession. This study investigates the relationship between the trait of professional scepticism and decision-making biases. It further examines how possible determinants, such as gender, age, experience, and personality traits, could play a role in financial professionals’ susceptibility to decision-making biases. The study adopted an empirical research design, using a quantitative data analysis approach. Data were collected primarily through questionnaires distributed to financial professionals accredited by the International Auditing and Assurance Board (IAASB) or the Association of Chartered Certified Accountants (ACCA). Advanced statistical techniques, including structural equation modelling (SEM), were used to explore the relationship between the trait of professional scepticism and decision-making biases. The findings show the presence to a significant extent among financial professionals of confirmation bias, misconceptions of regression to the mean bias, conjunctive event bias, overconfidence bias, and affect bias. There was no significant relationship between the trait of professional scepticism and these biases. However, specific constructs within the trait of professional scepticism (such as a questioning mind, suspension of judgement, the search for knowledge, and self-determining) displayed significant positive (and in some instances negative) relationships with these biases. The results reveal that determinants such as gender, experience, and personality traits (such as extraversion and neuroticism) lead to both higher and lower susceptibility to certain decision-making biases among financial professionals. The present study contributes to the literature by providing evidence of the behavioural manifestation of the relationship between the trait of professional scepticism constructs and decision-making biases. These findings shed light on the effectiveness of some constructs of the trait of professional scepticism in making financial professionals less susceptible to decision-making biases. Conversely, instances were also identified where certain constructs could potentially aggravate decision-making biases. The findings offer valuable insights for policy-makers, regulators, and professional bodies such as the IAASB and the ACCA, emphasising the need for a comprehensive understanding of professional scepticism and its possible implications for decision-makers in the finance profession. Financial Management PhD (Financial Sciences) Unrestricted Faculty of Economic And Management Sciences 2024-07-12T09:00:36Z 2024-07-12T09:00:36Z 2024-09 2024-04 Thesis * S2024 http://hdl.handle.net/2263/96954 https://doi.org/10.25403/UPresearchdata.26105791.v1 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Sustainable Development Goals (SDGs)
Decision-making biases
Financial professionals
Professional scepticism
Trait of professional scepticism
Heuristics
Professional trait scepticism and behavioural bias in decision-making by financial professionals
title Professional trait scepticism and behavioural bias in decision-making by financial professionals
title_full Professional trait scepticism and behavioural bias in decision-making by financial professionals
title_fullStr Professional trait scepticism and behavioural bias in decision-making by financial professionals
title_full_unstemmed Professional trait scepticism and behavioural bias in decision-making by financial professionals
title_short Professional trait scepticism and behavioural bias in decision-making by financial professionals
title_sort professional trait scepticism and behavioural bias in decision making by financial professionals
topic UCTD
Sustainable Development Goals (SDGs)
Decision-making biases
Financial professionals
Professional scepticism
Trait of professional scepticism
Heuristics
url http://hdl.handle.net/2263/96954
https://doi.org/10.25403/UPresearchdata.26105791.v1