Enhancing trust in online grocery shopping through generative AI chatbots

Journal of Business Research, Journal Year: 2024, Volume and Issue: 180, P. 114737 - 114737

Published: May 24, 2024

Generative Artificial Intelligence (GAI) is witnessing a lot of adoption across industries, but literature yet to fully document the nuances these applications. We develop comprehensive framework for understanding factors that affect trust in online grocery shopping (OGS) using GAI chatbots. Our exploratory study was conducted via interviews, which helped build our model. integrate Elaboration Likelihood Model (ELM) and Status Quo Bias (SQB) theory Unified Framework Trust on Technology Platforms. In confirmatory study, by analyzing 372 responses from users, structural equation modelling (SEM), we initially validate path Subsequently, used fuzzy set qualitative comparative analysis (fsQCA) check causal combinations explain different levels. Apart perceived regret avoidance, all other had significant effect attitude trust. Perceived anthropomorphism moderated associations between interaction quality, credibility, threat, attitude.

Language: Английский

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Human vs. AI: The battle for authenticity in fashion design and consumer response

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 77, P. 103690 - 103690

Published: Dec. 22, 2023

Language: Английский

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The Role of Artificial Intelligence Autonomy in Higher Education: A Uses and Gratification Perspective

Sustainability, Journal Year: 2024, Volume and Issue: 16(3), P. 1276 - 1276

Published: Feb. 2, 2024

With the rapid development of artificial intelligence (AI) technology, AI educators have become a reality. The advancement and increasing applications technology in higher education not only provide more efficient tools for teachers long-term focused teaching, but also new active independent spaces sustainable self-motivated learning college students. It is great importance that effects educator design are understood to ensure deployment AI-driven courses at universities. This paper investigates influences educators’ autonomy on students’ usage intentions by delving into how satisfies needs. Drawing uses gratification (U&G) framework, we theoretically elaborate (i.e., sensing autonomy, thought action autonomy) use an through mediating U&G benefits information-seeking gratification, social interaction entertainment gratification). By conducting online survey (N = 673) students, found positively associated with intention due gratifications; related intention, mediated gratifications, linked paths gratifications. Our findings both theoretical contributions practical implications.

Language: Английский

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Trust in AI-driven chatbots: A systematic review

Telematics and Informatics, Journal Year: 2025, Volume and Issue: 97, P. 102240 - 102240

Published: Jan. 9, 2025

Language: Английский

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How does live streaming affect tourists’ intention — a psychology theory perspective

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 17, 2025

As a novel experiential approach, live streaming at tourist destinations has garnered significant attention and profoundly impacts tourists' travel decisions. This study aims to validate the effects of usefulness, authenticity, interactivity destination streams on decision-making process tourists. Grounded in stimulus-organism-response (S-O-R) theory, this research identifies as "stimulus," while telepresence trust "organism," with decisions "response." Utilizing survey questionnaires, 274 valid data were collected analyzed through structural equation modeling SPSS 26.0 Amos 28.0 software assess impact The findings reveal that both authenticity positively influence telepresence. Additionally, interactivity, these also affect perceived among viewers, which subsequently enhances their highlights external stimuli streams, elucidating contributing understanding phenomenon within tourism sector.

Language: Английский

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Understanding AI-enabled conversational agent customer experiences in religious tourism

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

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The Mediating Role of Parasocial Relationship in Customer Services Chatbots Among Millennials and Gen Z Population

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 2, 2024

In the fast-evolving landscape of human–computer interaction (HCI), customer service chatbots have emerged as a new way for engaging with users. However, critical challenge lies in ensuring continued usage these chatbot's services. This study argues that by tapping into emotional dimension chatbot–user interactions, Parasocial Relationships (PSRs) can influence customers' continuance intention (CI) to use chatbot The findings from PLS-SEM shed light on significance Information Quality and System fostering PSRs. further identifies PSR significant mediator between Service Continuous use. research primarily examines Millennials Gen Z. Future studies may explore consumers different age groups. implications this are crucial advancing field chatbot–human interaction. Organizations benefit insights prioritizing personalized empathetic experiences nurture stronger PSRs promote user satisfaction, trust, continue using

Language: Английский

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Examining the effect of gamification mobile app on conference engagement: an integration of S-O-R framework and UGT

International Journal of Event and Festival Management, Journal Year: 2024, Volume and Issue: 15(3), P. 339 - 357

Published: April 5, 2024

Purpose By integrating stimulus-organism-response theory and uses gratifications theory, this study explored the salient gamification factors that satisfy of conference attendees in context an event mobile app their relationships with engagement, continuance intention word-of-mouth. Design/methodology/approach The questionnaire was developed Qualtrics administered on a application called Goosechase during annual hospitality conference. proposed hypotheses were tested using partial least square-structural equation modeling (PLS-SEM). Findings social presence, education entertainment through influences attendees’ engagement while achievement gratification does not. Positive effects continuous WOM have been also validated. Originality/value adopting unique integrated approach utilizes UGT S-O-R framework, considering as work-related offers fresh perspective apps discusses its theoretical practical implications depth.

Language: Английский

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I sense my digital assistants! Assessing the impact of customers’ immersive experience and perceived social presence on purchase intention

Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 19

Published: April 15, 2025

Language: Английский

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Analytical modeling of perceived authenticity in AI assistants: application of PLS-predict algorithm and importance-performance map analysis

South Asian Journal of Business Studies, Journal Year: 2024, Volume and Issue: unknown

Published: June 4, 2024

Purpose The present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation loyalty human–AI relationships. It intended assess predictive power developed model based on training-holdout sample procedure. further attempted map examine predictors loyalty, strengthening such relationship. Design/methodology/approach Partial least squares structural equation modeling (PLS-SEM) bootstrapping technique was employed higher-order effects pertaining relational intricacies. size comprised 412 AI assistant users belonging millennial generation. PLS-Predict algorithm used model, while importance-performance analysis executed effectiveness predictor variables two-dimensional map. Findings A positive relationship found between “Perceived Authenticity” “Loyalty,” which serially mediated by “Perceived-Quality” “Animacy” context. construct “Loyalty” remained significant “Emotional-Attachment” “Word-of-Mouth.” possessed high power. Mapping delivered contradictory result, indicating “authenticity” as most “loyalty,” but effective performance dimension. Practical implications findings may assist marketers understand relevance critical behavioral underlying customer retention extension strategies. Originality/value is pioneer introduce hybrid establish its explaining transactional communal view human reciprocation exclusively provided relative assessment

Language: Английский

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