Talking the talk: how AI voice assistants’ apology styles shape consumer satisfaction in service recovery DOI

Yujie Chen,

Yunjiao Mao

Asia Pacific Journal of Marketing and Logistics, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Purpose The objective of this study is to explore the impact AI voice assistants’ anthropomorphic apology styles on consumer recovery satisfaction. Design/methodology/approach adopts three scenario-based experiments examine effects Experiment 1 involved 108 university students, while Experiments 2 and 3 collected data from 222 288 assistant users, respectively, recruited via an online survey platform (sojump.com). SPSS was used for analysis. Findings results confirmed that cute result in higher satisfaction than literal ones. Both improve by enhancing perceived competence warmth; however, warmth plays a more critical role, particularly case apologies. Moreover, positive impacts are stronger cases lower severe service failures, confirming moderating role failure severity. However, moderation relationship between style not significant. Practical implications This provides important managerial guidelines design service. Originality/value extends application social cognitive theory domain fills gap literature examining how different assistants effect severity failure, thus addressing significant literature.

Язык: Английский

Cute or competent? Contextual dynamics of consumer acceptance toward service robots DOI
Juanjuan Yan, Biao Luo, Kai Zhang

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2025, Номер unknown, С. 1 - 23

Опубликована: Фев. 28, 2025

Язык: Английский

Процитировано

0

The role of materialism and social judgment in human-chatbot service interactions DOI
Rajat Roy, Vik Naidoo

Journal of Services Marketing, Год журнала: 2025, Номер unknown

Опубликована: Март 7, 2025

Purpose Chatbots are increasingly deployed in services and marketing applications, although they often met with scepticism. To explore how such scepticism can be reduced, this study aims to examine materialism social judgment influence human–chatbot interactions. Design/methodology/approach The authors conduct one pre-test, two laboratory experiments simulated conducted the field, test premises. Findings studies show that when material pursuit is guided by positive (negative) values, subjects prefer a chatbot perceived warm (competent) versus competent (warm). This, turn, leads favourable purchase decisions for homophily mediating effect. Research limitations/implications work addresses call more research on human–robot interactions improved applied context. While findings novel, not without limitations which turn lay path future research. Practical implications have driving strategic value out of service managers improve interface design Originality/value propositions demonstrate novel framing suggesting (vs negative) values underpinning lead preference competent) chatbots, further guide decision-making.

Язык: Английский

Процитировано

0

Expert or partner: The matching effect of AI chatbot roles in different service contexts DOI
Yimin Zhu, Jiaming Liang, Yujie Zhao

и другие.

Electronic Commerce Research and Applications, Год журнала: 2025, Номер unknown, С. 101496 - 101496

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services DOI
Özge HABİBOĞLU

Abant Sosyal Bilimler Dergisi, Год журнала: 2025, Номер 25(1), С. 365 - 389

Опубликована: Март 24, 2025

The use of artificial intelligence (AI) in the retail sector is steadily increasing. This study aims to reveal usage AI retailing over years. For thisKoh purpose, 137 studies published Journal Retailing and Consumer Services were analyzed according SPAR-4-SLR protocol. reviewed across four domains: publication year, consumer approach, technology applied, theoretical framework. Findings indicate that most 2024, primarily focusing on purchasing behavior, extensive chatbots, frequent application Technology Acceptance Model (TAM) grounding. research distinguishes itself by examining retailer-consumer behavior relationship, mainly contributing current knowledge this area. Keywords: AI, ıntelligence, retailing, behaviour

Язык: Английский

Процитировано

0

Talking the talk: how AI voice assistants’ apology styles shape consumer satisfaction in service recovery DOI

Yujie Chen,

Yunjiao Mao

Asia Pacific Journal of Marketing and Logistics, Год журнала: 2025, Номер unknown

Опубликована: Март 28, 2025

Purpose The objective of this study is to explore the impact AI voice assistants’ anthropomorphic apology styles on consumer recovery satisfaction. Design/methodology/approach adopts three scenario-based experiments examine effects Experiment 1 involved 108 university students, while Experiments 2 and 3 collected data from 222 288 assistant users, respectively, recruited via an online survey platform (sojump.com). SPSS was used for analysis. Findings results confirmed that cute result in higher satisfaction than literal ones. Both improve by enhancing perceived competence warmth; however, warmth plays a more critical role, particularly case apologies. Moreover, positive impacts are stronger cases lower severe service failures, confirming moderating role failure severity. However, moderation relationship between style not significant. Practical implications This provides important managerial guidelines design service. Originality/value extends application social cognitive theory domain fills gap literature examining how different assistants effect severity failure, thus addressing significant literature.

Язык: Английский

Процитировано

0