2021 14th International Conference on Developments in eSystems Engineering (DeSE), Год журнала: 2023, Номер unknown, С. 474 - 479
Опубликована: Дек. 18, 2023
Язык: Английский
2021 14th International Conference on Developments in eSystems Engineering (DeSE), Год журнала: 2023, Номер unknown, С. 474 - 479
Опубликована: Дек. 18, 2023
Язык: Английский
Cogent Business & Management, Год журнала: 2024, Номер 11(1)
Опубликована: Март 25, 2024
In the rapidly evolving landscape of customer service, integrating AI-powered solutionshas emerged as a game-changer. This study delves into intricate dynamics AI-Powered Customer Service and its profound impact on loyalty, specifically focusing mediating roles played by satisfaction perceived efficiency. Data were collected from 373 respondents in cross-sectional conducted 2023. A structured questionnaire was administered electronically to individuals with recent experiences service within last six months. The findings provide compelling evidence significant influence efficiency, indicated path coefficients 0.91 0.95, respectively. Moreover, strong relationship between loyalty (path coefficient = 1.05) efficiency 0.22) underscores their pivotal driving loyalty. Organizations should strategically embrace emphasizing satisfaction. They prioritize customer-centric design AI solutions align technology preferences needs.
Язык: Английский
Процитировано
14Libri, Год журнала: 2024, Номер 74(3), С. 211 - 223
Опубликована: Июнь 26, 2024
Abstract The Fifth Industrial Revolution is ushering in a profound era of technological advancement and societal transformation, prompting critical examination the evolving role libraries this digital landscape. Traditionally regarded as custodians knowledge, must adapt to these changing dynamics world while preserving their core principles. This study looks into strategic integration advanced technologies, aiming redefine mission face complex challenges. encompasses convergence diverse including Internet Things (IoT), cloud computing, biotechnology, nanotechnology, quantum all underpinned by currency data. Artificial intelligence (AI) focal point, promising enhancements user experiences operational efficiency, however, it also raises ethical privacy concerns that challenge fundamental library research employs an interpretive content/document analysis approach examine roles libraries, considering pivotal function bridging divide, providing equitable access technology resources, advancing innovation, fostering community engagement. underscores imperative address challenges related data privacy, inclusion, resource allocation, intellectual property, sustainability. However, despite challenges, are poised remain indispensable pillars education, research, interaction. To do so, they embrace strategically expand influence within knowledge systems.
Язык: Английский
Процитировано
11Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 1 - 16
Опубликована: Июль 26, 2024
This study explores the capacity of Artificial Intelligence (AI) to revolutionize customization marketing tactics. delves into fundamental principles customer engagement and investigates capability AI provide relevant focused experiences. can personalize communications by monitoring behavior demographics, which improves influences decision-making. theory use game mechanics engage incentivize users. intelligence has ability tailor gamified experiences personalizing rewards challenges according specific tastes particular customers. leads a deeper more meaningful degree engagement. Algorithms have forecast individual preferences actions evaluating vast amounts consumer data. allows for development content that connects with certain groupings, provides product suggestions, delivers advertising.
Язык: Английский
Процитировано
7Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 57 - 79
Опубликована: Июль 26, 2024
The transformative effects of artificial intelligence (AI) on service efficiency and the use best practices in marketing are examined this study. authors have given an overview how AI technologies transform delivery by enabling automated processes, dynamic pricing strategies, predictive analytics, personalized customer experiences through extensive analysis literature. Chatbots virtual assistants powered improve service, while sentiment help with reputation management consumer feedback analysis. Fairness, accountability, openness ensured emphasizing ethical considerations responsible deployment. Furthermore, it is noted that order to utilize entirely marketing, interdisciplinary cooperation, ongoing education crucial. In addition addressing issues relevance continual adaptation collaboration, chapter captures value promoting efficiency, creativity, customer-centricity industries. This report offers guidance companies looking happiness maintain competitiveness a market becoming more digital data-driven.
Язык: Английский
Процитировано
7Опубликована: Фев. 26, 2024
Many sectors have been pursuing the adoption of Artificial Intelligence (AI) marketing tools, which promise to enhance process and digital transformation process. This is driven by innovation, leading implementation a more comprehensive approach in business context, such as Industry 5.0. article provides broader review AI tools 5.0 investigating impact on implementing three pillars 5:0, including customer-centric approach, resilience, sustainability. Our findings through an extensive literature indicate that support highlighting benefits limitations these implementations. These results may inform managers policymakers who are involved adapting implement successfully.
Язык: Английский
Процитировано
4Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 335 - 350
Опубликована: Июль 12, 2024
This chapter is a product of the author's extensive first-hand experience gained during their professional journey and as well interactions with colleagues who are occupying role senior management in various hotels. Personalization has become key factor for enhancing experiences guest also to foster loyalty hotel industry. The industry witnessed significant shift towards artificial intelligence (AI) that plays pivotal providing opportunities tailor guests' preferences accordingly. Through this chapter, researcher aims identify influence AI on loyalty, profiling service customization within hospitality sector. In addition examining customized services, study examines challenges ethical considerations related AI-powered personalization loyalty.
Язык: Английский
Процитировано
4Journal of Consumer Behaviour, Год журнала: 2024, Номер unknown
Опубликована: Сен. 2, 2024
Abstract This research systematically reviews artificial intelligence (AI) effects in customer‐interfacing retail applications based on an ecosystem value co‐creation framework. We conduct a bibliometric and conceptual mapping analysis study, focusing AI‐related implications for consumers' other stakeholders' well‐being, social interaction, societal welfare. A co‐citation network visualization of critical AI journal articles is generated, keyword relationships clustered topic areas presented discussed, along with map the between key concepts substantive themes. In context, multidisciplinary‐based findings our reflect need to focus not only positive negative stakeholder welfare but also how created one these levels impact layers. Furthermore, interdisciplinary characteristics necessary effectively implementing managing technologies emphasize collaboration among multiple organizational departments, technology partners, members business ecosystem. The this contribute assessing both allow its implementation way that helpful organizations, employees, consumers, society. study should help managers decide which situations are best suited using not.
Язык: Английский
Процитировано
4Journal of Product Innovation Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 6, 2025
Abstract Despite artificial intelligence's (AI) increased efficiency and accuracy in many contexts, algorithm aversion, that is, people's biased preference for human recommendations over those of algorithms, is a well‐documented phenomenon. In this research, we show reversal the aversion phenomenon, referred to as appreciation, prevalent context marketplace discrimination. Specifically, current research documents propensity rely on AI‐based proposed by counterparts aftermath Such an happens because it serves coping strategy consumers who have faced discrimination from other actors. The results series three lab studies one field study provide consistent support effect document underlying psychological mechanism driving through perceived embarrassment. Using moderated‐mediation model, identify boundary condition demonstrating focal effect, remains valid under public consumption but diminishes private consumption. Employing natural setting field, replicate our findings with actual making real choices. Our important implications (e.g., integrating AI‐driven recommendation systems into firms' platforms sectors susceptible developing ethical guidelines AI systems) managers companies.
Язык: Английский
Процитировано
0Advances in marketing, customer relationship management, and e-services book series, Год журнала: 2025, Номер unknown, С. 81 - 110
Опубликована: Янв. 17, 2025
The origin of a brand, its development, and transformation over the last centuries under influence economic, social, cultural processes are tightly interrelated. It started with sign craftsmanship in past nowadays has status asset: concept brand develops time along globalization, technological advancements, shift consumer trends. is interesting to know development rise concept, as it helps explain why brands modern world able create value equity, differentiation, attraction audiences, which relevant today's conditions.
Язык: Английский
Процитировано
0Applied Sciences, Год журнала: 2025, Номер 15(6), С. 3252 - 3252
Опубликована: Март 17, 2025
The new generation of wireless communication technologies is already in development. Sixth Generation (6G) mobile communications are designed to push the limits for more bandwidth, connected devices with minimal power requirements, and better signal quality. Previous used Fifth (5G) inadequate handle requirements alone. One proposed solutions use Reconfigurable Intelligent Surfaces (RISs). These surfaces, when combined Artificial Intelligence (AI), may be a very powerful means achieving this. In this paper, we review studies that focus on RISs controlled by AI determining concept Smart Radio Environment (SRE) 6G networks. We examine applications span from Supervised Federated Learning (FL) as enabled rise Edge Computing. As expected have enhanced capabilities perform computing locally, thus reducing need transfer data central hub, opportunities created extensive FL. context, research FL RIS-aided SRE.
Язык: Английский
Процитировано
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