TY - JOUR
T1 - Overcoming financial planners’ cognitive biases through digitalization
T2 - A qualitative study
AU - Athota, Vidya S.
AU - Pereira, Vijay Edward
AU - Hasan, Zahid
AU - Vaz, Daicy
AU - Laker, Benjamin
AU - Reppas, Dimitrios
N1 - Funding Information:
Dr Vidya Sagar Athota is a Senior Academic in the School of Law and Business at The University of Notre Dame Australia. He has been employed at the Sydney campus since 2007. Dr Athota studied in India, USA and holds a PhD from the University of New South Wales, Australia. He has over 40 academic outputs and published three research books. His most recent book is entitled (2021), Mind Over Matter and Artificial Intelligence: Building Employee Mental Fitness for Organisational Success. He has published his research findings in high impact international journals. His research has been covered in several international media outlets including live TV, newspapers, and popular magazines. He has been a keynote speaker at various international conferences and has served as track chair on many international conferences. Dr Athota has received several grants and led seven international service-learning programs as part of the Global Initiative at Notre Dame. Dr Athota is also an assessor for Australian Research Council (ARC) grants. He is also on the Human Research Ethics Committee (HREC) at Notre Dame. He has successfully supervised three Higher Degree Research projects. Dr Athota has also provided consulting services to various business organizations internationally, including Fortune 500.
Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2023/1
Y1 - 2023/1
N2 - The purpose of this paper is to investigate cognitive biases among financial planners and, if and how, digital transformation through Artificial Intelligence (AI) can help overcome biases. The literature establishes that investors and financial services clients can exhibit cognitive biases. However, it is not evident whether the financial planners understand and detect cognitive biases among the clients and if they at all 'attempt' to address the biases whilst providing financial planning services. Utilizing the attribution theory, our paper contributes by exploring the gap in research related on cognitive biases among financial planners and provides a future research agenda for addressing the gap, through a qualitative investigation. Our study was designed over two stages, wherein we conducted in-depth interviews in both stages. The first stage included in depth interviews with 21 financial planners and a repeat 10 interviewers with select financial planners, with scenarios in the second stage. In total, we conducted 31 interviews to investigate cognitive biases among financial planners and how Artificial Intelligence can assist. Our findings suggest that cognitive biases exist among financial planners while providing services for the people in need, which is a major challenge for them. Our findings further suggest that digital transformation by using the Artificial Intelligence technologies might help overcome this existing biases, albeit, AI technologies ought to be combined with human intelligence. To the best of our knowledge, there exists no existing research on the association between cognitive biases and artificial intelligence among financial planners.
AB - The purpose of this paper is to investigate cognitive biases among financial planners and, if and how, digital transformation through Artificial Intelligence (AI) can help overcome biases. The literature establishes that investors and financial services clients can exhibit cognitive biases. However, it is not evident whether the financial planners understand and detect cognitive biases among the clients and if they at all 'attempt' to address the biases whilst providing financial planning services. Utilizing the attribution theory, our paper contributes by exploring the gap in research related on cognitive biases among financial planners and provides a future research agenda for addressing the gap, through a qualitative investigation. Our study was designed over two stages, wherein we conducted in-depth interviews in both stages. The first stage included in depth interviews with 21 financial planners and a repeat 10 interviewers with select financial planners, with scenarios in the second stage. In total, we conducted 31 interviews to investigate cognitive biases among financial planners and how Artificial Intelligence can assist. Our findings suggest that cognitive biases exist among financial planners while providing services for the people in need, which is a major challenge for them. Our findings further suggest that digital transformation by using the Artificial Intelligence technologies might help overcome this existing biases, albeit, AI technologies ought to be combined with human intelligence. To the best of our knowledge, there exists no existing research on the association between cognitive biases and artificial intelligence among financial planners.
KW - Artificial Intelligence, Financial planners
KW - Cognitive biases
KW - Decision making
UR - http://www.scopus.com/inward/record.url?scp=85138114320&partnerID=8YFLogxK
U2 - 10.1016/j.jbusres.2022.08.055
DO - 10.1016/j.jbusres.2022.08.055
M3 - Article
AN - SCOPUS:85138114320
SN - 0148-2963
VL - 154
JO - Journal of Business Research
JF - Journal of Business Research
M1 - 113291
ER -