Deciphering technological contributions of visibility and interactivity to website atmospheric and customer stickiness in AI-driven websites: The pivotal function of online flow state

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 78, P. 103795 - 103795

Published: March 8, 2024

Language: Английский

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Nitty-gritties of customer experience in metaverse retailing

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103876 - 103876

Published: April 30, 2024

Language: Английский

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Exploring drivers of customer engagement with voice interface in E-retail

International Journal of Retail & Distribution Management, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Purpose E-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new more inclusive modality that provides customers with hands-free, convenient e-shopping option relevant for e-retailers. However, the voice significantly different from text consumers are accustomed to. This study investigates customer experiences search selection of products on e-commerce platforms its subsequent impact engagement enhanced usage. Design/methodology/approach We conducted 34 in-depth interviews executive management students. For analysis findings, we used grounded theory paradigm thematic analysis. Findings Based probing consumers' interfaces platforms, identified two enablers: satisfaction awe-experience positively impacted inhibitors: risk perceptions inertia negatively usage interface. Originality/value transforming journey online shopping domain. How experience when searching selecting impacts their platform intentions to use interact e-retailer future. The findings substantiate tenets dual-process found enabling inhibiting factors independent can coexist. identifies most salient affect interfaces.

Language: Английский

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Internet of Robotic Things: Current Technologies, Challenges, Applications, and Future Research Topics

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 765 - 765

Published: Jan. 27, 2025

This article focuses on the integration of Internet Things (IoT) and Robotic Things, representing a dynamic research area with significant potential for industrial applications. The (IoRT) integrates IoT technologies into robotic systems, enhancing their efficiency autonomy. provides an overview used in IoRT, including hardware components, communication technologies, cloud services. It also explores IoRT applications industries such as healthcare, agriculture, more. discusses challenges future directions, data security, energy efficiency, ethical issues. goal is to raise awareness importance demonstrate how this technology can bring benefits across various sectors.

Language: Английский

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Leveraging digital technology in retailing business: Unboxing synergy between omnichannel retail adoption and sustainable retail performance

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 81, P. 104047 - 104047

Published: Aug. 18, 2024

Language: Английский

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Why people trust AI software robots: a mediated moderation perspective on the interaction between their intelligence and appearance

Industrial Management & Data Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Purpose This study aims to discover the impact of interaction between learning performance (as behavioral realism) and realistic appearance form AI-powered software robots on user trust. The also reveal how why happens, especially from dual processing perspective affective cognitive human responses. Design/methodology/approach We adopted an experimental research methodology in a movie recommendation system environment where machine learning-based recommendations are widely used. conducted 3 × 2 factorial design experimentation based three levels (low, mid high) two (caricature avatar digital human). used ANCOVA PROCESS Macro analyze our models. Findings Our results confirm that (intelligence) is critical factor influencing trust robots, this intelligence–trust relationship influenced by their appearance. further there significant intermediating mechanisms, i.e. responses, intelligence–appearance effect explained response mechanism. Practical implications provides valuable for creating optimal can lead various settings utilized. Originality/value has sveral contributions literature. First, addition well-recognized anthropomorphic characteristics, investigates another (learning as intelligence characteristics) intriguing realism factors. Second, drawing upon mediated moderation perspective, proposes novice factors build (the underlying mechanisms).

Language: Английский

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Understanding customers’ intentions to use AI-enabled services in online fashion stores – a longitudinal study

International Marketing Review, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Artificial intelligence (AI) services are vital in enhancing customer experience and purchase intentions the international online fashion retail sector. This study explores customers’ to use AI-enabled services, focusing on transaction utility, trust product uniqueness across journey context of stores. also assesses how privacy moderates intentions. Design/methodology/approach adopted a longitudinal research design purposive sampling technique collect total 566 participants. The final data were analyzed using IBM SPSS Amos version 21 software. Findings highlights significance AI integration (pre-purchase, during post-purchase stages). Most direct relationships significant, except relationship between stages. With few exceptions, commonly does not mediate antecedents intention services. Privacy post-purchase, pre-purchase stage. Originality/value bridges important gaps literature by integrating behavior, contributing broader knowledge interactions global e-commerce examines multiple attributes that impact intention, such as trust, uniqueness, three stages purchases post-purchase) privacy, major theories: mental accounting theory, commitment theory commodity theory.

Language: Английский

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Foundational Concepts of AI and the Metaverse in Tourism

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 347 - 372

Published: March 12, 2025

This chapter shows how AI and the metaverse can revolutionize travel experiences increase accessibility. Through real-time data analysis prediction algorithms, automates booking itinerary planning improves customer experience. While immersive virtual environments allow users to experience worldwide destinations digitally, opens those with financial, physical, or geographical restrictions. Tourism operators give customized suggestions “previews” of using AI-driven metaverse-enabled satisfy varied travelers. However, these advances raise ethical issues, including privacy, security, biases. Addressing challenges is crucial ensuring that evolve tourism responsibly. These technologies support sustainable, inclusive tourism, making global accessible engaging while promoting innovation in industry. empower digitally if used

Language: Английский

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Smart banking chatbots and consumer engagement: the role of trust and privacy in AI-driven banking

Journal of Strategic Marketing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: March 23, 2025

This study examines the role of smart banking chatbots (SBCs) in shaping consumer trust and engagement digital banking, with a focus on exploring moderating impact privacy concerns. Grounded stimulus-organism-response (SOR) model, research investigates how immersive experience impacts trustworthiness, which turn influences engagement, measured by intention to explore cognitive absorption. Data collected from 287 customers using structured survey questionnaire. The findings reveals that conversational agility ubiquitous connectivity significantly enhance whereas responsiveness, personalization, perceived control, social presence do not. Furthermore, concerns negatively moderate agility, trustworthiness. uniquely contributes literature AI-human interactions financial services. also offers strategic insights for banks optimizing SBCs customer provide better while addressing

Language: Английский

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A Literature Review on the Emerging Trends of AI Applications in E-Retailing: Insights from the Journal of Retailing and Consumer Services

Abant Sosyal Bilimler Dergisi, Journal Year: 2025, Volume and Issue: 25(1), P. 365 - 389

Published: March 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

Language: Английский

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