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Counteracting dark sides of robo-advisors: justice, privacy and intrusion considerations

Eugene Cheng-Xi Aw (UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia) (Department of Business Administration, IQRA University, Karachi, Pakistan)
Lai-Ying Leong (Faculty of Business and Finance, Universiti Tunku Abdul Rahman - Kampus Perak, Kampar, Malaysia)
Jun-Jie Hew (Faculty of Business and Finance, Universiti Tunku Abdul Rahman - Kampus Perak, Kampar, Malaysia)
Nripendra P. Rana (College of Business and Economics, Qatar University, Doha, Qatar)
Teck Ming Tan (Department of Marketing, Management and International Business, Oulu Business School, University of Oulu, Oulu, Finland)
Teck-Weng Jee (School of Business, Swinburne University of Technology - Sarawak Campus, Kuching, Malaysia)

International Journal of Bank Marketing

ISSN: 0265-2323

Article publication date: 3 April 2023

Issue publication date: 22 January 2024

1053

Abstract

Purpose

Under the pressure of dynamic business environments, firms in the banking and finance industry are gradually embracing Fintech, such as robo-advisors, as part of their digital transformation process. While robo-advisory services are expected to witness lucrative growth, challenges persist in the current landscape where most consumers are unready to adopt and even resist the new service. The study aims to investigate resistance to robo-advisors through the privacy and justice perspective. The human-like attributes are modeled as the antecedents to perceived justice, followed by the subsequent outcomes of privacy concerns, perceived intrusiveness and resistance.

Design/methodology/approach

An online survey was conducted to gather consumer responses about their perceptions of robo-advisors. Two hundred valid questionnaires were collected and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Findings

The results revealed that (1) perceived anthropomorphism and perceived autonomy are the positive determinants of perceived justice, (2) perceived justice negatively impacts privacy concerns and perceived intrusiveness and (3) privacy concerns and perceived intrusiveness positively influence resistance to robo-advisors.

Originality/value

The present study contributes to robo-advisory service research by applying a privacy and justice perspective to explain consumer resistance to robo-advisors, thereby complementing past studies that focused on the technology acceptance paradigm. The study also offers practical implications for mitigating resistance to robo-advisors.

Keywords

Citation

Aw, E.C.-X., Leong, L.-Y., Hew, J.-J., Rana, N.P., Tan, T.M. and Jee, T.-W. (2024), "Counteracting dark sides of robo-advisors: justice, privacy and intrusion considerations", International Journal of Bank Marketing, Vol. 42 No. 1, pp. 133-151. https://doi.org/10.1108/IJBM-10-2022-0439

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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