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Roles of barriers and gender in explaining consumers' chatbot resistance in banking: a fuzzy approach

Walid Chaouali (Faculty of Law, Economics and Management of Jendouba, University of Jendouba, Jendouba, Tunisia) (ERMA Laboratory, LR11ES07, Faculty of Economics and Management of Tunis, University of Tunis El Manar, Tunis, Tunisia)
Nizar Souiden (Faculty of Business Administration, Laval University, Quebec, Canada)
Narjess Aloui (Faculty of Economic Sciences and Management of Tunis, Tunis El Manar University, Tunis, Tunisia) (ERMA Laboratory, LR11ES07, University of Tunis El Manar, Tunis, Tunisia)
Norchène Ben Dahmane Mouelhi (ESCE International Business School, OMNES Education, Lyon, France) (Normandie University, UNICAEN, NIMEC, EA, Caen, France)
Arch George Woodside (Department of Marketing, Boston College, Chestnut Hill, Massachusetts, USA)
Fouad Ben Abdelaziz (NEOMA Business School, Rouen Campus, Mont-Saint-Aignan, France)

International Journal of Bank Marketing

ISSN: 0265-2323

Article publication date: 5 July 2024

63

Abstract

Purpose

This study strives to better understand resistance to chatbots in the banking sector. To achieve this, it proposes a model based on the paradigm of resistance to innovation and the complexity theory. In addition, it explores the role of gender in relation to chatbot resistance.

Design/methodology/approach

Data are collected in France using a snowball sampling technique. The sample is composed of 385 participants. FsQCA is used to identify all possible combinations of usage, value, risk, tradition and image barriers, as well as two gender conditions that predict resistance to chatbots.

Findings

The results reveal that the sample provides four possible solutions/combinations that may explain resistance to chatbots. These are: (i) a combination of usage, value, risk and tradition barriers, (ii) a combination of value, risk, tradition and image barriers, (iii) a combination of usage, value, risk and image barriers, along with the male gender and (iv) a combination of usage, value, tradition and image barriers, along with the female gender.

Research limitations/implications

This study provides valuable and straightforward theoretical and managerial implications. The proposed solutions suggest a deep understanding of chatbot resistance. Chatbot developers and marketers can highly benefit from these findings to enhance user acceptance.

Originality/value

In this study, barriers are envisioned within the larger context of innovation resistance. The interactions among barriers causing resistance to chatbots are examined through the lens of the complexity theory, while the data analysis employs the fsQCA approach. Furthermore, this study sheds light on the role of gender in explaining chatbot resistance in the banking sector.

Keywords

Citation

Chaouali, W., Souiden, N., Aloui, N., Ben Dahmane Mouelhi, N., Woodside, A.G. and Ben Abdelaziz, F. (2024), "Roles of barriers and gender in explaining consumers' chatbot resistance in banking: a fuzzy approach", International Journal of Bank Marketing, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJBM-03-2023-0153

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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