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

What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective DOI

Hong Chuong Pham,

Cong Doanh Duong,

Giang Khanh Huyen Nguyen

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103758 - 103758

Опубликована: Фев. 9, 2024

Язык: Английский

Процитировано

62

Analysing the impact of coupled domestic demand dynamics of green and low-carbon consumption in the market based on SEM-ANN DOI
Kaisheng Di, Weidong Chen, Qiumei Shi

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103856 - 103856

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

29

AI-powered ChatGPT in the hospitality and tourism industry: benefits, challenges, theoretical framework, propositions and future research directions DOI
Raouf Ahmad Rather

Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 11

Опубликована: Янв. 5, 2024

Generative artificial intelligence (AI) and smart/e-tourism provide imperative opportunities to service industries; however, the implementation of ChatGPT in tourism hospitality industry is limited, which extends different considerations/challenges that need vigilant reflection. Based on this significance research gap, we thus develop a theoretical framework suggests sets key propositions AI technology-powered ChatGPT. A widespread literature review practices were conducted investigate conceptual advancements/developments generative AI-powered technologies including ChatGPT, chatbot marketing, tourism, information management. The proposed develops customer's interaction-based conditions experience, engagement/trust, attachment, satisfaction/service quality, attitude change operational efficiency, consequently affect their strategic outcomes behaviours, subjective/psychological well-being, happiness performance. Thus, note theoretical/practical implications an extensive future-research roadmap also recommends transformative opportunities, challenges benefits marketing

Язык: Английский

Процитировано

18

Understanding Public Perceptions of AI Conversational Agents: A Cross-Cultural Analysis DOI Creative Commons
Zihan Liu, Han Li, Anfan Chen

и другие.

Опубликована: Май 11, 2024

Conversational Agents (CAs) have increasingly been integrated into everyday life, sparking significant discussions on social media. While previous research has examined public perceptions of AI in general, there is a notable lack focused CAs, with fewer investigations cultural variations CA perceptions. To address this gap, study used computational methods to analyze about one million media surrounding CAs and compared people's discourses the US China. We find Chinese participants tended view hedonically, perceived voice-based physically embodied as warmer more competent, generally expressed positive emotions. In contrat, saw functionally, an ambivalent attitude. Warm perception was key driver emotions toward both countries. discussed practical implications for designing contextually sensitive user-centric resonate various users' preferences needs.

Язык: Английский

Процитировано

18

Consumer perceptions of AI chatbots on Twitter (X) and Reddit: an analysis of social media sentiment and interactive marketing strategies DOI
C. Matt Graham, Rusty A. Stough

Journal of Research in Interactive Marketing, Год журнала: 2025, Номер unknown

Опубликована: Янв. 27, 2025

Purpose This study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral explores their impact chatbot deployment in interactive marketing. The goal was to understand engagement dynamics provide insights for enhancing marketing strategies interactions with chatbots. Design/methodology/approach Using analysis, this research examined the nature scope discussions surrounding methodological approach allowed a nuanced understanding predominant neutral, expressed by users providing into interaction patterns. Findings findings reveal diverse range sentiments toward ChatGPT 3, reflecting varying degrees acceptance skepticism. These varied are crucial organizations shaping strategies, particularly how they deploy brand interaction. Practical implications Trust positive ChatGPT, platforms like Reddit, suggest it is becoming part everyday life. However, concerns about its human jobs lack emotional intelligence persist. Users still weigh benefits drawbacks negative these worries. For marketers, presents an opportunity differentiate customer-facing roles. Addressing risks ethical AI, marketers can better engage consumers refine future deployments, ensuring enhances rather than detracts from customer experience. Originality/value paper makes unique contribution existing literature demonstrating perceptions, mere acceptance, directly influence strategic use By offers deeper social media that campaigns enhance emerging technologies digital landscape.

Язык: Английский

Процитировано

4

How AI chatbots shape satisfactory experiences: A combined perspective of competence expansion and emotional extension DOI

R. Hao,

Chunqing Li

Technological Forecasting and Social Change, Год журнала: 2025, Номер 212, С. 123979 - 123979

Опубликована: Янв. 7, 2025

Язык: Английский

Процитировано

2

Examining the impact of service robot communication styles on customer intimacy following service failure DOI
Junsung Park, Joon Woo Yoo, Young-Ju Cho

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 75, С. 103511 - 103511

Опубликована: Июль 31, 2023

Язык: Английский

Процитировано

32

The effect of the anthropomorphic design of chatbots on customer switching intention when the chatbot service fails: An expectation perspective DOI

Zhenzhen Lu,

Qingfei Min,

Lintong Jiang

и другие.

International Journal of Information Management, Год журнала: 2024, Номер 76, С. 102767 - 102767

Опубликована: Фев. 15, 2024

Язык: Английский

Процитировано

14

My colleague is not “human”: Will working with robots make you act more indifferently? DOI
Xingyang Lv, K Shi, Yueying He

и другие.

Journal of Business Research, Год журнала: 2024, Номер 176, С. 114585 - 114585

Опубликована: Фев. 29, 2024

Язык: Английский

Процитировано

14

Customers’ online service encounter satisfaction with chatbots: interaction effects of language style and decision-making journey stage DOI
Yingying Huang, Doğan Gürsoy

International Journal of Contemporary Hospitality Management, Год журнала: 2024, Номер 36(12), С. 4074 - 4091

Опубликована: Апрель 22, 2024

Purpose This study aims to examine the interaction effects of chatbots’ language style and customers’ decision-making journey stage on customer’s service encounter satisfaction mediating role customer perception emotional support informational using construal level theory social as conceptual frameworks. Design/methodology/approach used a scenario-based experiment with 2 (chatbot’s style: abstract vs concrete language) × (decision-making stage: transactional stage) between-subjects design. Findings show that during stage, chatbots use exert strong influence through support. During impact Practical implications provide some suggestions for improving customer–chatbot quality online encounters. Originality/value offers novel perspective experience by investigating chatbot’s styles at different stages.

Язык: Английский

Процитировано

10