Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Сен. 5, 2024
Язык: Английский
International Journal of Information Management, Год журнала: 2024, Номер 79, С. 102759 - 102759
Опубликована: Фев. 8, 2024
Язык: Английский
Процитировано
51
Business Strategy and the Environment, Год журнала: 2025, Номер unknown
Опубликована: Фев. 11, 2025
ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors
Язык: Английский
Процитировано
2
Journal of Consumer Behaviour, Год журнала: 2024, Номер 23(5), С. 2379 - 2389
Опубликована: Май 2, 2024
Abstract This article sheds light on the profound impact of technology consumer behavior, specifically focusing rise generative AI tools. It highlights how these advancements have revolutionized engagement, purchase decision‐making, and interaction. The underscores transformative potential in shaping behavior through personalized recommendations interactive shopping experiences. emphasizes need for continued research exploration to comprehend effectively navigate ever‐evolving landscape influenced by AI. Additionally, identifies implications practice, offers valuable strategies brands, presents a comprehensive agenda delve deeper into this field. Ultimately, it provides insights challenges opportunities presented serving as guiding resource advancing theory, policy domain.
Язык: Английский
Процитировано
15
International Journal of Tourism Cities, Год журнала: 2024, Номер unknown
Опубликована: Окт. 29, 2024
Purpose The purpose of this paper is to explore how GenAI can help companies achieve a higher level hyper-segmentation and hyper-personalization in the tourism industry, as well show importance disruptive tool for marketing. Design/methodology/approach This used Web Science Google Scholar databases provide updated studies expert authors industry. Analysing modalities through their new challenges tourists, cities companies. Findings reveal that technology exponentially improves consumers’ segmentation personalization products services, allowing organizations create tailored content real-time. That why concept substantially focused on customer (understood segment one) his or her preferences, needs, personal motivations purchase antecedents, it encourages design services with high individual scalability performance called hyper-personalization, never before seen Indeed, contextualizing experience an important way enhance personalization. Originality/value also contributes enhancing bootstrapping literature industry because field study, its functional operability incubation stage. Moreover, viewpoint facilitate researchers successfully integrate into different travel activities without expecting utopian results. Recently, there have been no tackle methodologies
Язык: Английский
Процитировано
15
Journal of Hospitality & Tourism Education, Год журнала: 2025, Номер unknown, С. 1 - 14
Опубликована: Янв. 23, 2025
Язык: Английский
Процитировано
1
Journal of Islamic marketing, Год журнала: 2024, Номер unknown
Опубликована: Апрель 15, 2024
Purpose The continued relevance of technologies in halal industries requires managers to understand the factors contributing such technologies’ acceptance. technology acceptance model (TAM) is dominant literature that predicts user and behaviour towards technology. Despite model’s significance, there has yet be a systematic review studies featuring sectors use TAM. purpose this study systematically existing on TAM research trends as well modifications opportunities industries. Design/methodology/approach Guided by preferred reporting items for meta-analysis protocol, framework-based using theories, contexts, characteristics methods (TCCM) framework was conducted. Scopus Web Science databases were used retrieve English journal articles investigated context markets. In total, 44 eligible reviewed terms developments extensions their across Findings first related published 2014. most prominent industry review, which TAM, Islamic finance. Indonesia leading economy Perceived usefulness found more significant factor than perceived ease significance religiosity inconsistent. Most done quantitative surveys with consumers target sample. Research limitations/implications are based databases, may limitation. This also only considered focus rather general Muslim consumers. Practical implications Halal will continue rely provision goods services. With rise emerging technological innovations, provide an appreciation different contexts. Researchers can results guide future contribute toward development area. Originality/value contributes marketing being comprehensively TCCM approach. A agenda proposed advance
Язык: Английский
Процитировано
5
Energies, Год журнала: 2024, Номер 17(8), С. 1982 - 1982
Опубликована: Апрель 22, 2024
Given that the implementation of renewable technologies has some key bottlenecks in adoption, this topic been explored. Particularly, we are reviewing existing theories and models to understand their fit for changing social structures evolving world contexts. This review begins with an introduction followed by a background study on energy technology (RET). We have employed mixed-approach methodology synthesize relevant literature. The comprises summary comparison such as TAM, TRA, UTAUT, elucidating factors influencing adoption processes. Additionally, discusses scope future research, emphasizing need more nuanced frameworks account contextual intricacies emerging trends adoption. Ultimately, concludes insights into ongoing discourse surrounding acceptance recommendations inclusion current views study.
Язык: Английский
Процитировано
5
Journal of Consumer Marketing, Год журнала: 2024, Номер 41(6), С. 674 - 689
Опубликована: Авг. 26, 2024
Purpose Fashion companies have been among the first to ride new trend and develop projects for Metaverse, considering Generation Z (Gen Z) as a relevant target. The paper aims investigate Gen consumers’ intention use digital fashion items in Metaverse. Design/methodology/approach study relies on technology acceptance model (TAM). authors include specific aspects of Metaverse: user-avatar identification development an alternative identity; innovativeness is discussed moderator variable. tested consumers, with 329 survey responses collected 2022 analyzed using structural equation modeling (SEM). Findings shows that two external explanatory variables added, i.e. identity, positively directly impact individual attitude Moreover, according proposed research model, moderating effect concerning has positive negative consequences. Originality/value Using TAM, explored perceptions (perceived usefulness ease use), attitudes intentions regarding context (digital Metaverse). This enriched TAM consumer marketing constructs (user-avatar identity) their relationships also contributed by exploring relevance effects novel contributes academic debate focusing personal sphere moving Metaverse environment. marketing-focused develops consumers provide insights possible opportunities marketers
Язык: Английский
Процитировано
5
Tourism and Hospitality Research, Год журнала: 2024, Номер unknown
Опубликована: Окт. 24, 2024
This study used bibliometric analysis and a systematic literature review (SLR) to examine how the tourism hospitality industries use generative artificial intelligence (GAI), identifying developed patterns, theoretical frameworks, strengths limitations, future research challenges. We conducted using Scopus database, adhering PRISMA principles. analyzed sample of 25 articles published between 2019 2023 through narrative synthesis VOSviewer software, tool for visualizing network analysis. The USA, China, India, Saudi Arabia are major countries engaged in GAI hospitality. Significant topics emphasize decision-making, chatbots, deep learning, sentiment analysis, mainly Technology Acceptance Model (TAM), Stimulus-Organism-Response (S-O-R), Human-Computer Interaction (HCI) frameworks. applications demonstrate strength improving user experience operational efficiency, though gaps exist scope, ethics, technology performance, collaboration humans AI. study, therefore, provides fundamental foundation understanding current status by pointing out some trends areas that require further investigation ensure responsible effective integration AI within industry.
Язык: Английский
Процитировано
5
Advances in hospitality, tourism and the services industry (AHTSI) book series, Год журнала: 2024, Номер unknown, С. 55 - 80
Опубликована: Авг. 16, 2024
The swift progress of technology has led to the emergence notions smart cities and tourism, which are expected significantly transform both urban living travel experiences. Modern is used by maximize services, increase sustainability, improve quality life for their citizens. A subset this more comprehensive strategy called “smart tourism” focuses on using these technologies travelers' experiences make travels frictionless, educational, pleasurable. Cities that effectively utilize have potential not just standard its citizens but also offer tourists unique sustainable These ideas will surely be crucial in determining how future tourist destinations shaped as they develop further. This chapter explores mutually beneficial link between tourism cities, emphasizing advantages, difficulties, developments.
Язык: Английский
Процитировано
4