Journal of Marketing Management, Год журнала: 2025, Номер unknown, С. 1 - 23
Опубликована: Апрель 22, 2025
Язык: Английский
Journal of Marketing Management, Год журнала: 2025, Номер unknown, С. 1 - 23
Опубликована: Апрель 22, 2025
Язык: Английский
Journal of Travel Research, Год журнала: 2025, Номер unknown
Опубликована: Март 13, 2025
This study explores the adoption of artificial intelligence (AI)-enabled trip-planning assistants, focusing on user interaction dynamics and preferences. Although users appreciate quick access to basic information offered by AI-powered travel platforms, challenges such as accuracy adaptability create a gap between potential realized advantages these technologies. Drawing affordance-actualization theory, this research analyzes preferences their drivers regarding characteristics AI-enabled trip planners. The data collected through stated-choice experiment were analyzed with discrete choice modeling measure users’ heterogeneity in interactions AI-assisted platforms. Findings reveal that are influenced contextual elements, purpose, activity type, perceived importance quality. systematic investigation contributes significantly understanding AI digital age, offering insights for improving platform design satisfaction.
Язык: Английский
Процитировано
0Asia Pacific Journal of Marketing and Logistics, Год журнала: 2025, Номер unknown
Опубликована: Март 20, 2025
Purpose Based on privacy calculus theory (PCT), this paper aims to investigate personalization-privacy paradox (PPP) in the context of intelligent voice assistant (IVA). Besides, moderating role emotional attachment is also considered. Design/methodology/approach A total 247 valid online questionnaires were gathered China, and results analysed using partial least squares-structural equation modeling (PLS-SEM). Findings The show that personalization increases consumers’ perceived benefit information disclosure (PBID) decreases their concern. Emotional negatively moderates effect concern value (PVID). Originality/value With consideration calculus, limited investigation about PPP within IVA. challenge traditional view PPP, as well offer fresh insight into process.
Язык: Английский
Процитировано
0Abant 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
0Behaviour and Information Technology, Год журнала: 2025, Номер unknown, С. 1 - 19
Опубликована: Апрель 15, 2025
Язык: Английский
Процитировано
0Journal of Marketing Management, Год журнала: 2025, Номер unknown, С. 1 - 23
Опубликована: Апрель 22, 2025
Язык: Английский
Процитировано
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