Unveiling the influencing mechanism underlying users’ adoption and recommend intentions of central bank digital currency: A behavioral reasoning theory perspective DOI
Jiaqi Wu, Xin Liu, Zhang Cheng-hu

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 81, С. 104050 - 104050

Опубликована: Авг. 24, 2024

Язык: Английский

Decisions with ChatGPT: Reexamining choice overload in ChatGPT recommendations DOI Creative Commons
Jungkeun Kim, Jeong Hyun Kim, Changju Kim

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 75, С. 103494 - 103494

Опубликована: Июль 13, 2023

This research examines how individuals respond differently to recommendation options generated by ChatGPT, an AI-powered language model, in five studies. In contrast previous on choice overload, Studies 1 and 2 demonstrate that people tend positively a large number of (60 options), revealing diverse consumer perceptions AI-generated recommendations. 3 4 further illustrate the moderating effect agents indicate overload elicits distinct patterns reactions depending whether recommendations are from human or AI agent. Lastly, Study 5 directly measures preferences for agents, general preference particularly when available. These findings have significant implications system design user regarding

Язык: Английский

Процитировано

72

Embracing digital companions: Unveiling customer engagement with anthropomorphic AI service robots in cross-cultural context DOI
Khalid Mehmood, Pradeep Kautish, Tejas R. Shah

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103825 - 103825

Опубликована: Март 18, 2024

Язык: Английский

Процитировано

34

Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases DOI
Debarun Chakraborty, Aruna Polisetty,

G. Sowmya

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103842 - 103842

Опубликована: Апрель 5, 2024

Язык: Английский

Процитировано

17

Determinants of ChatGPT Use and its Impact on Learning Performance: An Integrated Model of BRT and TPB DOI
Noor Al-Qaysi, Mostafa Al‐Emran, Mohammed A. Al‐Sharafi

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Июнь 7, 2024

The rapid emergence of Generative Artificial Intelligence (GAI) heralds a significant shift, opening new frontiers in how education is delivered. This groundbreaking wave technological advancement poised to redefine traditional learning, promising enhance the educational landscape with unprecedented levels personalized learning and accessibility. Despite GAI's progressive infiltration into various strata, limited empirical research exists on its impact students' performance. Drawing Theory Planned Behavior (TPB) Behavioral Reasoning (BRT), this study investigates determinants affecting use ChatGPT influence data were collected from 357 university students analyzed using PLS-SEM technique. results supported role positively In addition, showed that reasons for against adoption are pivotal shaping attitudes. found be significantly affected by attitudes, subjective norms, perceived behavioral control. Besides theoretical contributions, findings offer implications stakeholders underscore necessity institutions foster conducive environment GAI adoption, addressing ethical technical concerns optimize experiences.

Язык: Английский

Процитировано

16

The Impact of Artificial Intelligence on Chatbot Technology: A Study on the Current Advancements and Leading Innovations DOI Open Access
Farhan Aslam

European Journal of Technology, Год журнала: 2023, Номер 7(3), С. 62 - 72

Опубликована: Авг. 15, 2023

Artificial intelligence (AI) has had a profound impact on various industries, and one prominent domain where its influence is evident in chatbot technology. Chatbots, computer programs designed to simulate human conversation, have evolved significantly through the advancements AI, becoming more sophisticated intelligent. This research paper aims explore current state of AI-powered technology, focusing latest leading innovations. The study delves into application natural language processing (NLP) algorithms, machine learning models, deep techniques development gain insights their capabilities limitations. also highlights innovations such as virtual assistants voice-enabled chatbots. These conversational agents transformed providing innovative solutions reference services customer-company interactions. contextual understanding personalized responses that chatbots can provide, offering tailored interactions meet users' specific needs preferences. Furthermore, integration other technologies, including speech recognition sentiment analysis, enhances capabilities, improving user satisfaction engagement. However, while enhanced experiences, customer satisfaction, efficiency industries like support service, they raise potential ethical privacy concerns. Medical chatbots, particular, pose legal challenges require careful management appropriate frameworks. Understanding advancements, innovations, AI technology essential for recognizing benefits these systems present. By addressing concerns, responsibly shape future human-computer interactions, further contributing broader AI's role transforming enhancing experiences.

Язык: Английский

Процитировано

39

Do you trust ChatGPTs? Effects of the ethical and quality issues of generative AI on travel decisions DOI Creative Commons
Jeong Hyun Kim, Jungkeun Kim, Changju Kim

и другие.

Journal of Travel & Tourism Marketing, Год журнала: 2023, Номер 40(9), С. 779 - 801

Опубликована: Ноя. 22, 2023

This study investigated the impact of ChatGPT's recommendation quality and ethical concerns on travelers' acceptance, satisfaction, perceived trustworthiness. Results showed that when were prominent, acceptance satisfaction with recommendations decreased significantly, negative effects mediated by also identified message framing containing errors, information types delivered ChatGPT, acted as moderators positive effect its recommendations. These findings underscore significance addressing in using AI (Artificial intelligence)-powered chatbots, implications for satisfaction.

Язык: Английский

Процитировано

36

Consumer reactions to chatbot versus human service: An investigation in the role of outcome valence and perceived empathy DOI
Dmitri G. Markovitch, Rusty A. Stough, Dongling Huang

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103847 - 103847

Опубликована: Апрель 9, 2024

Язык: Английский

Процитировано

14

Enhancing Parasocial Brand Experience and Brand Equity: Unleashing the Advantages of ChatGPT Service DOI Open Access
Shuman Wang,

Chunlin Yuan,

Hakil Moon

и другие.

International Journal of Consumer Studies, Год журнала: 2025, Номер 49(2)

Опубликована: Фев. 13, 2025

ABSTRACT This study proposes a comprehensive framework with which to examine the relationships between ChatGPT service, parasocial brand experience, and equity, moderating effect of consumer innovativeness in technology. A structured web‐based survey was administered 210 respondents who were experienced understanding using AI‐based technology during April–July 2023. Structural equation modeling employed hypothesized variables. The findings show that advantages service positively affect experience affects equity. Parasocial mediates Consumer acts as moderator on proposed this research model. Given there is little relevant marketing from perspective, expands use tools marketing, provides theoretical practical insights for academics practitioners.

Язык: Английский

Процитировано

1

Exploring customer stickiness during “smart” experiences: a study on AI chatbot affinity in online customer services DOI Creative Commons
Muhammad Ashfaq, Marian Makkar, Ai-Phuong Hoang

и другие.

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

Опубликована: Март 5, 2025

Purpose Drawing on the technology affordance and affinity theories, this study proposes a framework explaining antecedents consequences of customers’ smart experiences (CSEs) in artificial intelligence (AI) chatbot context. Design/methodology/approach The quantitative approach employing an online survey was adopted to obtain data from users ( N = 761) analyzed using structural equation modeling. Findings Results show that affordances, including interactivity (two-way communication, active control synchronicity), selectivity (customization localization), information (argument quality source credibility), association (connectivity sense safety) navigation positively affect CSEs (hedonic cognitive), leading customer stickiness through affinity. Originality/value Our provides evidence supports extends affordances lens by highlighting roles specific contribute positive-smart experience subsequently enhances

Язык: Английский

Процитировано

1

The impact of AI identity disclosure on consumer unethical behavior: A social judgment perspective DOI
Tian-Ge Li, Chu-Bing Zhang,

Ying Chang

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 76, С. 103606 - 103606

Опубликована: Окт. 17, 2023

Язык: Английский

Процитировано

22