The Manner Is the Matter: How the Chatbot Communication Style and Consumers' Regulatory Focus Shape Purchase Intention

ABSTRACT This research explores the potential of imbuing AI‐based chatbots with human‐like communication styles, such as warmth or competence, and suggests that tailoring a chatbot's communication style to align with customer characteristics can be a strategic approach that enhances consumers' purchase intentions. To test the hypotheses, I conducted two pre‐tests and three experiments. The results indicate that individuals with a promotion‐focused orientation exhibit enhanced purchase intentions when interacting with a warm‐style chatbot, while prevention‐focused individuals show increased purchase intentions when engaging with a competent‐style chatbot. Additionally, this effect is mediated by perceived engagement. The current research enriches the literature on AI‐powered chatbots by applying regulatory fit theory to explore ways to enhance the efficiency of human–chatbot interaction in digital environments and provides valuable managerial insights.

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Publication Details

Journal
Journal of Consumer Behaviour
Published
2025-04-29
DOI
https://doi.org/10.1002/cb.2505
Citations
5
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
12.40
Controls
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article

The Manner Is the Matter: How the Chatbot Communication Style and Consumers' Regulatory Focus Shape Purchase Intention

Sunhwa Choi
5 citations
Journal of Consumer Behaviour
AI in Service Interactions
12.40
article

The Manner Is the Matter: How the Chatbot Communication Style and Consumers' Regulatory Focus Shape Purchase Intention

Sunhwa Choi
article en
5 citations

Abstract

ABSTRACT This research explores the potential of imbuing AI‐based chatbots with human‐like communication styles, such as warmth or competence, and suggests that tailoring a chatbot's communication style to align with customer characteristics can be a strategic approach that enhances consumers' purchase intentions. To test the hypotheses, I conducted two pre‐tests and three experiments. The results indicate that individuals with a promotion‐focused orientation exhibit enhanced purchase intentions when interacting with a warm‐style chatbot, while prevention‐focused individuals show increased purchase intentions when engaging with a competent‐style chatbot. Additionally, this effect is mediated by perceived engagement. The current research enriches the literature on AI‐powered chatbots by applying regulatory fit theory to explore ways to enhance the efficiency of human–chatbot interaction in digital environments and provides valuable managerial insights.

Journal of Consumer BehaviourVol. 24(4)
University of Waikato (NZ)
Openalex Percentile: Top 2%
AI in Service Interactions
12.40
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