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Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand

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  • Li, Meichan
  • Wang, Rui

Abstract

The utilization of chatbots has grown in popularity in recent years, leading to an increasing interest among academics and practitioners. This study investigates the effect of chatbot language style on customers' continuance usage intention and attitude toward brand. Two scenario-based experiments were conducted to examine the underlying mechanism. The results show that when chatbots adopt an informal (vs. formal) language style, customers’ continuance usage intention and brand attitude increase through the mediating role of parasocial interaction. Further, this study identifies brand affiliation as a pertinent moderator, such that the effect of chatbot language style is attenuated for people who have no prior relationship with the brand. The findings contribute to the existing chatbot literature and offer practical implications for brand managers to develop optimal language strategies when deploying chatbots in e-commerce.

Suggested Citation

  • Li, Meichan & Wang, Rui, 2023. "Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
  • Handle: RePEc:eee:joreco:v:71:y:2023:i:c:s0969698922003022
    DOI: 10.1016/j.jretconser.2022.103209
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    References listed on IDEAS

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    Cited by:

    1. Söderlund, Magnus, 2023. "Moderator variables in consumer research: A call for caution," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Song, Mengmeng & Zhang, Huixian & Xing, Xinyu & Duan, Yucong, 2023. "Appreciation vs. apology: Research on the influence mechanism of chatbot service recovery based on politeness theory," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    3. Xu, Ying & Niu, Nan & Zhao, Zixiang, 2023. "Dissecting the mixed effects of human-customer service chatbot interaction on customer satisfaction: An explanation from temporal and conversational cues," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    4. Lee, Kuo-Wei & Li, Chia-Ying, 2023. "It is not merely a chat: Transforming chatbot affordances into dual identification and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    5. Degutis, Mindaugas & UrbonaviÄ ius, Sigitas & Hollebeek, Linda D. & Anselmsson, Johan, 2023. "Consumers’ willingness to disclose their personal data in e-commerce: A reciprocity-based social exchange perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    6. El Hedhli, Kamel & Zourrig, Haithem & Al Khateeb, Amr & Alnawas, Ibrahim, 2023. "Stereotyping human-like virtual influencers in retailing: Does warmth prevail over competence?," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    7. Park, Junsung & Yoo, Joon Woo & Cho, Youngju & Park, Heejun, 2023. "Examining the impact of service robot communication styles on customer intimacy following service failure," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    8. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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