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The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the factors that influence the viewership of online films. Therefore, this study aims to use the signaling theory to investigate how signals of varying qualities affect online movie viewership, considering both signal transmission costs and prices.

This study uses a sample of 1,071 online movies released on the iQiyi from July 2020 to July 2022. It uses OLS regression and instrumental variable method to examine the impact of various quality indicators on the viewership of online movies, as well as the moderating effect of price.

After conducting a thorough analysis of this study, it can be deduced that the varying impacts on online movie viewership are attributed to disparities in signal transmission costs. Specifically, star influence and rating exhibit a positive effect on the viewership of online movies, whereas the number of raters has a detrimental impact. Furthermore, there exists an “inverted U-shaped” relationship between the number of reviews and online movie viewership. Additionally, within the consumer decision-making process, both price-cost and price-quality relationships coexist. This is evident as prices negatively affect online movie viewership but positively moderate the relationship between rating, number of reviews and online movie viewership.

The research findings of this study offer valuable insights for online film producers to effectively leverage quality signals and pricing, thereby capturing market attention and enhancing film profitability.

This study aims to chart the impact of technological advancements on tourism from the post–Second World War era to the present and forecast their influence until 2050. It assesses how technologies have reshaped travel experiences and operations, with a focus on upcoming innovations such as the metaverse, Web 3.0 and AI, and their implications for sustainable and ethical tourism.

This study uses a hybrid approach, combining historical analysis and future projections. It analyzes archival data, industry reports and academic literature.

This study identifies crucial technological milestones that have significantly impacted tourism, including the rise of commercial aviation, the internet and AI. Future trends suggest emerging technologies will further transform the sector. Challenges in sustainability, ethics and inclusivity are highlighted as critical considerations for future development.

This paper offers a unique longitudinal perspective on technology’s influence on tourism, bridging past trends with future projections.

本研究采取混合方法, 融合历史分析与未来趋势预测。研究分析了丰富的档案数据、行业报告以及学术文献。

旨在勾勒从二战后至今技术进步对旅游业的影响, 并展望至2050年的潜在影响。本研究着重评估技术如何重塑旅游体验和运作, 特别是对元宇宙、网络3.0和人工智能等即将到来的创新技术及其对可持续和伦理旅游的意义。

识别了旅游业中关键的技术里程碑, 包括商业航空、互联网和人工智能的崛起。研究指出, 未来趋势显示新兴技术将继续深刻改变旅游业。同时强调, 可持续性、伦理和包容性是未来发展中不可忽视的关键要素。

本文从独特的纵向视角出发, 深入探讨了技术对旅游业的历史与未来影响, 将过去发展趋势与未来展望紧密结合。

Este estudio emplea un enfoque híbrido que combina el análisis histórico y las proyecciones de futuro. Analiza datos de archivo, informes del sector y bibliografía académica.

La investigación pretende trazar el impacto de los avances tecnológicos en el turismo desde la era posterior a la Segunda Guerra Mundial hasta la actualidad y prever su influencia hasta 2050. Evalúa cómo las tecnologías han reconfigurado las experiencias y las operaciones de viaje, centrándose en las próximas innovaciones como el Metaverso, la Web 3.0 y la IA, y sus implicaciones para un turismo sostenible y ético.

El estudio identifica hitos tecnológicos cruciales que han tenido un impacto significativo en el turismo, como el auge de la aviación comercial, Internet y la IA. Las tendencias futuras sugieren que las tecnologías emergentes transformarán aún más el sector. Los retos en sostenibilidad, ética e inclusividad se destacan como consideraciones críticas para el desarrollo futuro.

Este artículo ofrece una perspectiva longitudinal única sobre la influencia de la tecnología en el turismo, tendiendo un puente entre las tendencias pasadas y las proyecciones futuras.

Amid rising concerns over unhealthy dietary habits and their impact on public health, this study aims to explore the role of avatars in promoting healthier eating and enhancing customer satisfaction in restaurants. By leveraging the theory of planned behavior (TPB) and nudge theory, this research sought to gain insights into consumer behavior and assess how digital innovations can encourage healthier food choices.

This study recruited 672 participants in the USA. Participants viewed a video featuring an avatar that informed them about available healthy food options, simulating a restaurant ordering scenario. Following the video, participants completed comprehensive online surveys. The collected data was analyzed using partial least squares structural equation modeling to assess the effectiveness and implications of the intervention.

The findings revealed that health consciousness, environmental awareness, social norms and perceived behavioral control significantly influence dietary habits. Restaurant health initiatives and avatar persuasiveness were found to encourage healthier food choices, improve customer satisfaction and loyalty and enhance electronic word-of-mouth. The study confirmed that avatars equipped with attributes such as competence, warmth, trustworthiness and credibility can be an effective digital nudge for consumers toward healthier dietary decisions.

This study’s originality lies in its integration of TPB and nudge theory, bridging the gap between individual psychological factors and external cues. This comprehensive framework provides valuable insights for restaurant managers, artificial intelligence developers and policymakers, offering practical strategies to promote healthier eating and enhance customer experiences through digital innovation.

鉴于公众对不健康饮食习惯及其对公共健康影响的日益关注, 本研究旨在探索虚拟形象在促进更健康饮食和提升餐厅顾客满意度中的作用。通过利用计划行为理论（TPB）和劝导理论（Nudge Theory）, 本研究试图深入了解消费者行为, 并评估数字创新如何鼓励更健康的食品选择。

本研究在美国招募了672名参与者。参与者观看了一个展示虚拟形象的视频, 该虚拟形象向他们介绍了可供选择的健康食品选项, 模拟了餐厅点餐场景。观看视频后, 参与者完成了全面的在线调查。收集的数据通过偏最小二乘结构方程模型（PLS-SEM）分析, 以评估干预的有效性和影响。

研究发现, 健康意识、环境意识、社会规范和感知行为控制显著影响饮食习惯。餐厅健康倡议和虚拟形象的说服力被发现能够鼓励更健康的食品选择, 提高顾客满意度和忠诚度, 并增强电子口碑。研究证实, 具备能力、温暖、可信度和信誉等属性的虚拟形象可以成为有效的数字劝导工具, 引导消费者作出更健康的饮食决策。

本研究的原创性在于它将计划行为理论和劝导理论结合起来, 填补了个体心理因素和外部线索之间的差距。这一综合框架为餐厅经理、人工智能开发者和政策制定者提供了宝贵的洞见, 提供了推动更健康饮食和通过数字创新增强顾客体验的实用策略。

En medio de la creciente preocupación por los hábitos alimentarios poco saludables y su impacto en la salud pública, este estudio pretende explorar el papel de los avatares en la promoción de una alimentación más saludable y la mejora de la satisfacción del cliente en los restaurantes. Aprovechando la Teoría del Comportamiento Planificado (TPB) y la Teoría del Impulso, esta investigación trata de profundizar en el comportamiento del consumidor y evalúa cómo las innovaciones digitales pueden fomentar la elección de alimentos más saludables.

El estudio reclutó a 672 participantes en Estados Unidos. Los participantes visionaron un vídeo en el que un avatar les informaba sobre las opciones de comida saludable disponible, simulando una situación en la que solicitaban comida en un restaurante. Después del vídeo, los participantes rellenaron unas exhaustivas encuestas en línea. Los datos recogidos se analizaron mediante un modelo de ecuaciones estructurales por mínimos cuadrados parciales para evaluar la eficacia y las implicaciones de la intervención.

Los resultados revelaron que la conciencia saludable, la conciencia medioambiental, las normas sociales y el control conductual percibido influyen significativamente en los hábitos alimentarios. Se comprobó que las iniciativas relacionadas con la salud en los restaurantes y la capacidad de persuasión de los avatares fomentan la elección de alimentos más sanos, mejoran la satisfacción y la fidelidad de los clientes y potencian el boca a boca electrónico. El estudio confirmó que los avatares dotados de atributos como competencia, calidez, fiabilidad y credibilidad pueden ser un estímulo digital eficaz para que los consumidores tomen decisiones dietéticas más saludables.

La originalidad de este estudio radica en la integración de la TPB y la Teoría de los Estímulos, que tiende un puente entre los factores psicológicos individuales y las señales externas. Este marco integral aporta valiosas ideas a los gestores de restaurantes, desarrolladores de IA y responsables políticos, ofreciendo estrategias prácticas para promover una alimentación más sana y mejorar las experiencias de los clientes a través de la innovación digital.

Artificial intelligence (AI) is revolutionizing product recommendations, but little is known about consumer acceptance of AI recommendations. This study examines how to improve consumers' acceptance of AI recommendations from the perspective of product type (material vs experiential).

Four studies, including a field experiment and three online experiments, tested how consumers' preference for AI-based (vs human) recommendations differs between material and experiential product purchases.

Results show that people perceive AI recommendations as more competent than human recommendations for material products, whereas they believe human recommendations are more competent than AI recommendations for experiential products. Therefore, people are more (less) likely to choose AI recommendations when buying material (vs experiential) products. However, this effect is eliminated when is used as an assistant to rather than a replacement for a human recommendation.

This study is the first to focus on how products' material and experiential attributes influence people's attitudes toward AI recommendations. The authors also identify under what circumstances resistance to algorithmic advice is attenuated. These findings contribute to the research on the psychology of artificial intelligence and on human–technology interaction by investigating how experiential and material attributes influence preference for or resistance to AI recommenders.

Corporate ESG performance has attracted widespread attention from various sectors of society. This paper aims to investigate whether analysts’ ESG attention can convey additional information to the market and consequently influence stock pricing efficiency.

Using A-share listed companies from 2014 to 2021 as the research subjects, this paper employs a deep learning algorithm, word2vec, to construct an ESG dictionary. Text analysis is then applied to create an analysts’ ESG attention index, delving into its impact on stock pricing efficiency.

Empirical research reveals that: (1) Analysts' ESG attention effectively enhances stock pricing efficiency, with a more significant impact from analysts’ attention to environmental (E) and social (S) factors compared to governance (G); (2) Further analysis indicates that this effect becomes more pronounced when there is higher disparity in corporate ESG ratings, greater marketization in the province where the company is located, and a higher institutional ownership percentage and (3) The mechanism by which analysts' ESG attention influences stock pricing efficiency is through an elevation in investor attention and stock liquidity. Additionally, it is observed that analysts prioritize ESG information to enhance their reputation and business capabilities.

From the perspective of ESG rating divergence, this paper innovatively uses analyst reports to construct ESG attention indicators and analyzes their impact on the efficiency of stock pricing.

Humanoid social robots (HSRs) are an innovative technology revitalizing various service sectors, such as the hospitality industry. However, limited research has explored how anthropomorphic features of HSRs influence user satisfaction with the services delivered by HSRs. To address this, a research model was proposed to evaluate how three distinct anthropomorphic features: appearance, voice and response, impact the perceived values (i.e. utilitarian, social and hedonic values) of HSRs, which, in turn, influence user satisfaction.

Data from an online survey of hotel customers was utilized to test the research model (N = 509).

The results indicated that appearance, voice, and response affect perceived utilitarian, hedonic and social values differently. The response feature of HSRs demonstrated the strongest impact on perceived utilitarian, social and hedonic values. In addition, voice affected all three perceived values, while appearance only affected perceived utilitarian and social values. Furthermore, perceived utilitarian, hedonic and social values showed positive impacts on user satisfaction, with hedonic value being the most influential factor.

This study contributes to the literature on HSRs and anthropomorphism by explaining how different anthropomorphic features affect users’ value perceptions and user satisfaction with HSR services by utilizing the stimulus-organism-response (SOR) framework.

This study aims to investigate the impact of virtual tours on the engagement and travel intentions of older adults, emphasizing the role of emotional and informative content. It aims to enhance travel confidence and reduce stress among older travelers, fostering inclusive tourism through advanced avatar technology.

Using two between-subjects experiments, this research compares the effects of emotion-driven and knowledge-centric virtual tours on older adults. It explores the mediating role of travel confidence and stress reduction, along with the moderating influence of positive psychological cues on engagement and travel intentions.

The results highlight the potential of technology in promoting inclusive tourism. Emotionally engaging virtual tours significantly increase travel intentions among older adults by boosting confidence and alleviating stress, with positive psychological cues enhancing these effects.

This study offers valuable insights for tourism industry stakeholders by suggesting the development of avatar-based virtual tours tailored to the emotional and cognitive needs of older travelers. This approach could create more accessible and satisfying tourism experiences for older travelers.

This study extends the socioemotional selectivity theory to the realm of metaverse travel, providing a novel perspective on the emotional and cognitive engagement of older adults in the metaverse. This underscores the importance of inclusive technology in addressing the needs of older travelers.

The prevalence of live-streaming e-commerce leads to massive impulse purchases. Based on social learning theory, this study proposes a research model to explore the effect of streamers and viewers on impulsive buying by influencing consumers’ certainty perception.

This study adopts a questionnaire (N = 285) to collect data and conducts a partial least squares structural equation modelling (PLS-SEM) analysis to examine our research hypotheses.

Our results indicate that streamers and viewers improve product demand certainty and product quality certainty, but their effects on streamer quality certainty vary. In addition, product quality certainty is positively associated with impulsive buying, whereas streamer quality certainty and product demand certainty show a negative effect. Streamers can only drive impulse purchases by increasing product quality certainty, but the influence of viewers on consumers’ impulsive buying is fully mediated by product quality certainty and streamer quality certainty.

Our findings contribute to the literature on live-streaming e-commerce (LSE) by identifying the differential effects of streamers and viewers on impulsive buying. In addition, we broaden the area of certainty research in the LSE field to include product quality certainty, streamer quality certainty and product demand certainty and evaluate these certainty aspects as three psychological mechanisms that drive consumers’ impulse purchases.

The anti-friction and anti-wear properties of WS₂@GO composites on paraffin liquid were investigated with a four-ball tribometer.

A series of graphene oxide (GO) nano hybrid composites decorated with tungsten disulfide (WS₂) were prepared in-suit by hydrothermal strategy.

The results showed that compared to the virgin oil, friction coefficient and diameter of wear scare of lubricant oil containing W/G = 1:1 hybrid composite was reduced by 42.7% and 31.6%, respectively. At the microscopic, the excellent lubrication performance resulted from the tribo-chemical reaction on the sliding interface, which promotes the formation of tribo-film with a thickness of 8 nm. The carbonization compound, WO₃ and Fe₂O₃ in the tribo-film results from the tribo-chemical reactions at the sliding interface, which can improve the stability and strength of tribo-film. Thereby the metal surface was further protected from friction and wear.

A series of WS₂@GO composites were prepared in-suit by a hydrothermal strategy, and the tribo-film was analyzed by the transmission electron microscope and X-ray photoelectron spectrometer.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0397

This study investigates the influences of brands, sources and congruence on perceived product quality, as well as the role of content creator types in Instagram influencer marketing for luxury brands.

The samples consisted of Instagram users who follow content creators who posted about luxury brands. A survey instrument was used to collect data from 916 respondents who were of working age (22–55 years old).

The analysis showed acceptable fits for both measurement and structural models. The results reveal the positive effect of luxury brand identity on content attributes, which influence both content creator-product fit and perceived product quality and the direct influence of fit on perceived quality. Perceived uniqueness acts as a negative driver.

The findings of this study guide luxury brand marketers in choosing peers and influencers, selecting appropriate content creators and emphasizing effective content attributes.

This study identifies novel antecedents for perceived quality, a part of brand equity, including drivers and obstacles. It also explores the impact of content creator types, such as friends and/or acquaintances, compared to influencers and/or celebrities, offering insights beyond previous research.