Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104024 - 104024
Published: Aug. 23, 2024
Language: Английский
Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 46 - 46
Published: March 10, 2025
Internet platforms and self-media have become vital online communities for promoting positive reputations hotels. Previous studies primarily focused on enhancing electronic word-of-mouth (eWOM) through improvements in hotel infrastructure staff services. As hotels deepen their digital transformation, the application of various artificial intelligence technologies service encounters significantly impacts experience. This study explores effects voice assistant (VA) attributes reputation Specifically, it examines how VAs (anytime connectivity, information association, interactivity) influence customer evaluations Utilizing a questionnaire survey method, we collected 529 valid questionnaires offline employed structural equation modeling along with PROCESS plugin SPSS to conduct path analysis, as well mediation moderation effect analyses. The results indicate that perceived value existence human–AI rapport mediate impact VA eWOM, although direct some (information association) was not supported. Furthermore, anytime connectivity enhances social presence, while privacy concerns negatively affect relationship between intentions engage eWOM. These insights are critical seeking maximize benefits transformation.
Language: Английский
Citations
0
Journal of Islamic marketing, Journal Year: 2025, Volume and Issue: unknown
Published: March 10, 2025
Purpose The purpose of this paper is to investigate the impact artificial intelligence (AI)-enabled Conversational Agents (AICAs) on religious tourists’ experiences. It explores how AICA attributes influence cognitive and affective states these evaluations, in turn, affect their memorable tourism experiences (MRTEs) continuous use intentions AICAs. Design/methodology/approach Drawing stimulus-organism-response model Technology Readiness Index, authors propose a new theoretical framework examine relationships among (stimuli), evaluations (organism), behavioral responses (MRTEs intentions). conceptual, with supported through comprehensive literature review. Findings posits that attributes, such as informativeness, accessibility, empathy personalization, shape These MRTEs, influencing willingness continue using AICAs future Additionally, technology readiness posited moderate relationship between evaluations. Recommendations are made research can be conducted test proposed conceptual model. Originality/value This enhances AI by examining AICAs’ exploring multidimensional nature adoption. provides foundation for empirical research. offers insights operators service providers, guiding strategic enhance MRTEs while respecting sacred spiritual journeys. inform development more effective culturally sensitive AI-driven solutions contexts.
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(7), P. 2789 - 2789
Published: March 21, 2025
Within the global wave of manufacturing intelligence, AI technologies are revolutionizing industrial frameworks through deep integration. As a resource-intensive sector, fashion has become pivotal arena for assessing AI’s role in sustainable development. China, world’s largest apparel producer, faces unique integration challenges, highlighting intersection innovation and sustainability. To further explore impact AI-powered try-on technology on impulsive buying intentions young Chinese consumers, this research utilizes modified version stimulus–organism–response (SOR) model. From lens online shopping, investigates how key features technology, such as visual vividness, interactive control, personalized configuration, ease use, affect intentions. Additionally, study examines mediating roles perceived utilitarian value, hedonic immersion, alongside moderating brand trust. A structured survey was conducted with 366 participants, data were analyzed using partial least squares (PLS) method. The findings reveal that four core attributes have positive effect Furthermore, along influence trust, substantiated. In realm effectively stimulates behavior drives purchases. These results offer valuable theoretical insights enhancing applications, while also providing strategic guidance brands e-commerce platforms developing AI-driven marketing approaches.
Language: Английский
Citations
0
IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 77 - 104
Published: March 7, 2025
In the contemporary business landscape, branding extends beyond mere logos and slogans, evolving into a strategic tool that defines consumer perception, fosters engagement, solidifies market positioning. The increasing integration of Artificial Intelligence (AI) in is revolutionizing way businesses interact with consumers, enabling unprecedented personalization, predictive insights, operational efficiency. This chapter explores transformative role AI branding, examining its impact on behavior, brand storytelling, marketing effectiveness.
Language: Английский
Citations
0
Journal of Marketing Analytics, Journal Year: 2025, Volume and Issue: unknown
Published: April 9, 2025
Language: Английский
Citations
0
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104028 - 104028
Published: Aug. 3, 2024
Language: Английский
Citations
4
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 82, P. 104120 - 104120
Published: Oct. 13, 2024
Language: Английский
Citations
4
International Journal of Retail & Distribution Management, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 23, 2025
Purpose Although well documented for physical stores, consumer motives buying apparel online have been poorly investigated. Drawing on the social exchange theory (SET), authors tested a framework that relates time savings, effort savings and money to satisfaction, e-loyalty e-word-of-mouth (e-WOM). Design/methodology/approach A cross-sectional, web-based survey was conducted in Canada during coronavirus (COVID-19) pandemic. Data were collected from 247 participants who made clothing purchases analysed using partial least-squares structural equation modelling. The reliability validity of measurement model assessed, path coefficients estimated. Findings Money strong effect e-satisfaction, which turn determines e-WOM. Time also found influence whereas no influence. Finally, results indicate e-satisfaction competitively mediates relationship between both Originality/value Utilising SET, this study contributes deepening knowledge purchase context COVID-19 provide comprehensive view mechanisms through are strongest drivers customer loyalty e-WOM when clothes online.
Language: Английский
Citations
0
Asia-Pacific Journal of Business Administration, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
Purpose This study aims to investigate the impact of artificial intelligence (AI) on customer loyalty in luxury fashion market. It explores how AI-driven tools influence trust, satisfaction, commitment and engagement, which turn affect loyalty. By examining these relationships, provides insights into acceptance effectiveness AI technologies enhancing within sector. Design/methodology/approach employs structural equation modelling (SEM) analyse data collected from 406 consumers Iran. The was gathered using a targeted sampling procedure, leveraging DigiKala’s e-commerce platform. A comprehensive literature review informed measurement items, seven-point Likert scale used. methodology includes confirmatory factor analysis (CFA) assess reliability validity constructs, followed by hypothesis testing through SEM. Findings reveals that significantly enhances market positively influencing engagement. Satisfaction engagement were found be key mediators between loyalty, while trust had no direct results underscore importance personalized experiences fostering stronger relationships Originality/value is one first explore market, model as mediators. extends stimulus-organism-response (SOR) technology (TAM) frameworks, offering valuable for brands can leveraged enhance
Language: Английский
Citations
0
Journal of Research in Interactive Marketing, Journal Year: 2025, Volume and Issue: unknown
Published: March 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
Language: Английский
Citations
0