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This study aims to examine the impact of cultural values [power distance (PD), uncertainty avoidance (UC), individualism vs collectivism (IC) and time orientation] and users’ perceptions on the adoption of big data analytics (BDA) within the context of the United Arab Emirates (UAE) health-care sector. It uses the unified theory of acceptance and use of technology (UTAUT) model as its theoretical foundation.

A cross-sectional survey involving 256 health-care organization users in major hospitals across the UAE was conducted. Smart partial least squares (PLS) structural equation modeling was used to assess users’ behavioral intentions (BI) to use BDA in the health-care context.

Results indicate that performance expectancy, social influence, facilitating conditions and perceived trust significantly predicted respondents’ BI to use BDA. However, effort expectancy, perceived security and time orientation were found to have insignificant impacts on BI. Interestingly, the remaining cultural values (PD, UC and IC) did not significantly affect the relationship between social influence and BI in the context of BDA adoption in health care.

This study contributes to the literature by examining the role of cultural dimensions in BDA adoption within health-care organizations, particularly in the underrepresented UAE health-care context. Moreover, it extends the application of the UTAUT model to the BDA adoption in health care, providing insights into the factors affecting users’ BIs to use the technology.

This study aims to evaluate the current situation of education for sustainable development, climate change education and environmental education in a nationwide context. Methodologically, this study calls for more research to go beyond case studies and take a similar approach to examine university curricula and facilitate cross-country comparisons.

This paper examines the status of climate and sustainability curricula in Taiwan’s higher education system. Using the course catalog for the 2020–2021 academic year, the authors constructed a unique data set that includes 1,827 courses at 29 major universities in Taiwan. In each institution, the authors search for course titles that include “climate,” “sustainable/sustainability” and “environment/environmental” as keywords and code the courses according to their disciplines.

The finding highlights the variations across institutional types and subject matters. Public universities have an average of 4.94 related courses per 1,000 students, whereas private universities have only 3.13. In general, the relevant courses are more concentrated in the STEM and bioscience fields. The curricula, however, are seriously constrained by the disciplinary structure and foster few transdisciplinary perspectives.

The authors seek to go beyond case studies and offer one of the most comprehensive curricula samples at the national level. Taiwan adds an important data point, as the current literature focuses heavily on the USA and Europe.

Student engagement is a key factor that connects with student achievement and retention. This paper aims to identify individuals' engagement automatically in the classroom with multimodal data for supporting educational research.

The video and electroencephalogram data of 36 undergraduates were collected to represent observable and internal information. Since different modal data have different granularity, this study proposed the Fast–Slow Neural Network (FSNN) to detect engagement through both observable and internal information, with an asynchrony structure to preserve the sequence information of data with different granularity.

Experimental results show that the proposed algorithm can recognize engagement better than the traditional data fusion methods. The results are also analyzed to figure out the reasons for the better performance of the proposed FSNN.

This study combined multimodal data from observable and internal aspects to improve the accuracy of engagement detection in the classroom. The proposed FSNN used the asynchronous process to deal with the problem of remaining sequential information when facing multimodal data with different granularity.

The study examines the role of social media technologies (SMTs) as a driver of organization cultural intelligence (OCI) and new product development (NPD) capabilities, and how the complementary effects of these capabilities contribute to multinational corporations (MNCs)’ performance. Further, the study investigates the capability–performance relationship under conditions of high and low market and technological turbulence.

A quantitative survey method was implemented, with the data provided by senior marketing managers employed in MNC regional offices. The proposed model was tested using structural equation modeling and multi-group moderation analysis, and fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that SMTs support the development of OCI and NPD capabilities, which in turn contribute to MNC regional performance. A high level of technological turbulence only weakens the relationship between OCI and performance.

The results suggest that OCI contributes to MNCs’ performance, by deploying social media information and complementing the organization’s NPD capability under a specific environmental context.

The paper offers practical recommendations to MNCs on social media use when developing and launching new products in different regional markets. MNCs need to recruit culturally intelligent managers, who consider the level of market and technological turbulence when combining several types of capabilities.

Within the dynamic marketing capabilities literature, this is the first study to incorporate and reliably measure cultural intelligence capability. The research offers empirical evidence that OCI and NPD capabilities are necessary to achieve superior MNC performance and depend on the level of market and technological turbulence.

The main goal of viral marketing is to affect brands positively. But most studies concern the causes of an ad going viral, not its impact on brands. In this sense, this study aims to demonstrate and compare video ads' value drivers on brands and sharing, determining which antecedents maximize results on each, enabling the best ad performance for advertisers.

A survey was conducted with 368 respondents who watched viral video ads from five global companies on YouTube. The proposed model was tested using structural equation modeling in SmartPLS4.

The results of this study demonstrated that product category involvement is essential for viral advertising. Furthermore, the entertainment value is the most relevant antecedent of sharing, but it does not affect brand equity; it is the social value responsible for brand equity.

Marketing managers should create ads that simultaneously generate entertainment and social values, maximizing sharing and branding effects. However, if only one of the two effects (brand/share) is achieved, then the advertiser will fail to obtain maximum performance.

The mainstream of viral marketing research is focused on antecedents of sharing. However, sharing is not enough to provide brand effects and return on investment of advertisement. This study reveals that different consumers’ values drive sharing and brand equity, suggesting that firms should consider a dual value generation strategy regarding the performance of viral video ads. On the other hand, this research conciliates the extant literature about the phenomena with the importance of product category involvement.

El objetivo principal del marketing viral es influir positivamente en las marcas. Pero la mayoría de las investigaciones se refieren a las causas de que un anuncio se vuelva viral, no a su impacto en las marcas. En este sentido, esta investigación tiene como objetivo demostrar y comparar los impulsores de valor de los anuncios de video en las marcas y su viralización, determinando qué antecedentes maximizan los resultados en cada uno, permitiendo el mejor rendimiento publicitario para los anunciantes.

Se realizó una encuesta con 368 participantes que vieron anuncios de video virales de cinco empresas globales en YouTube. El modelo estructural se analizó mediante ecuaciones estructurales basada en mínimos cuadrados utilizando SmartPLS4.

Los resultados demostraron que la participación en la categoría de productos es esencial para la publicidad viral. Además, el valor de entretenimiento es el antecedente más relevante de compartir, pero no afecta el valor de la marca; es el valor social responsable del valor de la marca.

Los gerentes de marketing deben crear anuncios que generen simultáneamente entretenimiento y valores sociales, maximizando los efectos de uso compartido y de marca. Sin embargo, si solo se consigue uno de los dos efectos (marca/participación), el anunciante no conseguirá obtener el máximo rendimiento.

La corriente principal de la investigación de marketing viral se centra en los antecedentes de compartir. Sin embargo, compartir no es suficiente para proporcionar efectos de marca y ROI de publicidad. Este estudio revela que los diferentes valores de los consumidores impulsan el intercambio y el valor de la marca, lo que sugiere que las empresas deberían considerar una estrategia de generación de valor dual con respecto al rendimiento de los anuncios de video virales. Por otro lado, esta investigación concilia la literatura existente sobre los fenómenos con la importancia de la participación de la categoría de productos.

病毒式营销的主要目标是对品牌产生积极的影响。但大多数研究关注的是广告走红的原因, 而不是它对品牌的影响。在这个意义上, 本研究旨在证明和比较视频广告对品牌和分享的价值驱动因素, 确定哪些前因能使每一个因素的结果最大化, 为广告商带来最佳的广告效果。

对368名受访者进行了调查, 他们在YouTube上观看了五家全球公司的病毒视频广告。在SmartPLS4中使用结构方程模型 对提议的模型进行了测试。

结果表明, 产品类别的参与对于病毒式广告来说是至关重要的。此外, 娱乐价值是分享的最相关前因, 但它并不影响品牌资产; 对品牌资产负责的是社会价值。

营销经理应该创造同时产生娱乐和社会价值的广告, 使分享和品牌效应最大化。然而, 如果只实现两种效果（品牌/分享）中的一种, 广告商将无法获得最大的绩效。

病毒式营销研究的主流是关注分享的前因后果。然而, 分享并不足以提供品牌效应和广告的投资回报率。本研究揭示了不同消费者的价值观对分享和品牌资产的推动作用, 表明企业应该考虑关于病毒视频广告表现的双重价值产生策略。另一方面, 本研究将现有的文献与产品类别参与的重要性结合在一起。

Restorative experiences relieve fatigue or stress, leading people to feel more energetic. Activation theory and the nature–dose framework hold travel duration as a crucial influence on restorative effects, yet these factors may not demonstrate a simple linear relationship. This paper, thus, aims to explore the relationship between travel duration and restoration based on a survey conducted during a seven-day holiday (the longitudinal data spanned two months); and explore the reasons for this relationship and the mechanisms for lasting restorative effects based on diary analysis.

Mixed methods were used in this study. Questionnaires regarding restorative effects were administered to 232 people at six time points before, during and after a holiday. Participants were also asked to keep a diary during their trips. Data were first tested for common method bias and were then processed via independent sample t-tests, analysis of variance and time-series analysis.

Restorative effects were consistently higher in the travel group than in the non-travel group. Additionally, an inverted U-shaped relationship emerged between travel duration and the restorative effects of a holiday; a moderate duration had stronger restorative effects than a duration that was too long or too short. More importantly, the study found that participants who traveled for a moderate duration (longer or shorter) engaged in non-judgmental challenging (relaxing) activities at least once. They also demonstrated greater eudaimonism (hedonism) and stronger, more sustained restoration versus the original set point. In addition, results revealed how travel activities, emotions, moderators and restorative effects were constructed.

Longitudinal data indicated an inverted U-shaped relationship between travel duration and restoration. Achieving lasting restorative effects requires effort and non-judgmental challenging activities for a moderate travel duration and frequency. The study uncovered mechanisms influencing the relationship between travel experiences and restorative effects. The results offer guidance for research on “travel prescriptions” and for the health and stress relief market.

Inverted U-shaped curve for different travel durations and restorative effects at T3.

The non-judgmental challenging group showed lasting and stronger restorative effects over the next two months.

恢复性体验是指从疲劳或压力状态恢复到感觉更好或更有活力的状态。基于激活理论和自然剂量框架, 旅行停留时长是恢复效果的一个关键变量, 但两者之间可能并不是简单的线性关系。本文旨在（1）基于两个月的纵向数据, 探讨固定假期旅行停留时长与恢复效果之间的关系; （2）根据假期日记内容进一步分析以上关系产生的可能原因及达到持久恢复效果的作用关系。

该研究采用了混合方法。在度假前、度假中和度假后的六个纵向时间点, 对232人进行了与恢复效果有关的问卷调查。且参与者在整个假期中每天记日记。对数据进行了常见方法偏倚、独立样本t检验、方差分析和时间序列分析。

（1）在整个调查期间, 旅行组的恢复效果始终高于非旅行组; （2）旅行停留时长与恢复效果之间的关系呈倒U型, 适度的旅行停留时长可以得到更好的恢复效果; （3）适度（太长或太短）旅行停留时长的参与者更多地参与非评判的挑战性（享乐性）的活动, 表现出更大的实现主义（享乐主义）倾向, 并获得了更强、更持久的恢复效果。进一步地, 研究结果揭示了旅游活动类型、情绪、调节变量和恢复性效果之间的作用关系。

纵向数据分析表明旅行停留时长和恢复效果之间呈现倒U型, 要实现持久的恢复效果需要努力参与非评判的挑战性活动。这项研究揭示了旅行体验和恢复效果之间的关系, 研究结果为促进旅游成为健康和压力缓解市场的处方提供了理论基础和实践指导。

Las experiencias reparadoras alivian la fatiga o el estrés, haciendo que las personas se sientan con más energía. La teoría de la activación y el marco naturaleza-dosis sostienen que la duración del viaje es una influencia crucial en los efectos reconstituyentes que provocan en las personas, aunque estos factores pueden no demostrar una relación lineal simple. Así pues, este artículo pretende 1) explorar la relación entre la duración del viaje y la recuperación de las personas, a partir de una encuesta realizada durante unas vacaciones de 7 días (los datos longitudinales abarcaron dos meses); y 2) explorar las razones de esta relación y los mecanismos de los efectos reparadores duraderos a partir del análisis de diarios.

En este estudio se utilizaron métodos mixtos. Se administraron cuestionarios sobre los efectos reconstituyentes a 232 personas en seis momentos antes, durante y después de unas vacaciones. También se pidió a los participantes que llevaran un diario durante sus viajes. En primer lugar, se comprobó que los datos no presentaran sesgos por métodos comunes y, a continuación, se procesaron mediante pruebas t de muestras independientes, análisis de la varianza y análisis de series temporales.

Los efectos reparadores fueron sistemáticamente mayores en el grupo que viajó que en el que no viajó. Además, surgió una relación en forma de U invertida entre la duración del viaje y los efectos reconstituyentes de las vacaciones; una duración moderada tuvo efectos reparadores más fuertes que una duración demasiado larga o corta. Por último, los participantes que viajaron durante una duración moderada (más larga o más corta) realizaron más actividades estimulantes no perjudiciales (relajantes). También demostraron un mayor eudaimonismo (hedonismo) y una recuperación más fuerte y sostenida en comparación con el punto de partida inicial. Los resultados revelaron cómo se relacionaban las actividades de viaje, las emociones, los moderadores y los efectos reparadores.

Los datos longitudinales indicaron una relación en forma de U invertida entre la duración del viaje y la recuperación de las personas. Lograr efectos reparadores duraderos requiere esfuerzo y actividades para una duración moderada del viaje. El estudio descubrió mecanismos que influyen en la relación entre las experiencias de viaje y los efectos reconstituyentes. Los resultados ofrecen orientaciones para la investigación sobre las “recetas de viaje” y para el mercado de la salud y el alivio del estrés.

The aim of this paper is to explore the specific relationship between managerial power and enterprise innovation performance. Combined with managerial power theory and stewardship theory, financing constraints and strategic orientation, including, strategic market orientation and strategic technology orientation are included in the analysis framework to test how managerial power influences enterprise innovation performance in detail from the perspective of enterprise internal influence mechanisms.

Based on the A-share listed companies in Shanghai and Shenzhen covering the period from 2001 to 2017, this paper uses the ordinary least square method (OLS) to explore how managerial power affects enterprise innovation performance.

The results show that managerial power has a positive impact on enterprise innovation performance. Furthermore, the authors find that financing constraints, strategic market orientation and strategic technology orientation all have partial mediating effects in the relationship between managerial power and enterprise innovation performance.

This paper verifies the application of managerial power theory and stewardship theory in the relationship between managerial power and enterprise innovation performance in Chinese A-share listed companies, contributing to the literature on enterprise innovation. Moreover, by introducing the mediating mechanisms of financing constraints, strategic market orientation and strategic technology orientation, this paper builds an effective path for in-depth study to analyze how managerial power influences enterprise innovation performance and finds ways to improve enterprise innovation performance from the inside view of the enterprise.

This study aimed to develop a method to calculate the mattress indentation for further estimating spinal alignment.

A universal indentation calculation model is derived based on the system theory, and the deformation characteristics of each component are analyzed by the finite element (FE) model of a partial air-spring mattress under the initial air pressure of 0.01–0.025 MPa. Finally, the calculation error of the model is verified.

The results indicate that the indentation calculation model could describe the stain of a mattress given the load and the constitutive model of each element. In addition, the FE model of a partial air-spring mattress can be used for further simulation analysis with an error of 1.47–3.42 mm. Furthermore, the deformation of the series system is mainly contributed by the air spring and the components directly in contact with it, while the top component is mainly deflection deformation. In addition, the error of the calculation model is 2.17–5.59 mm on the condition of 0.01–0.025 MPa, satisfying the engineering application. Finally, the supine spinal alignment is successfully extracted from the mattress indentation.

The limitation of this study is that it needs to verify the practicality of the indentation calculation model for the Bonnier spiral spring mattress. The main feature of the Bonnier spring mattress is that all springs are connected, so the mattress deflection and neighborhood effect are more significant than those of the air-spring mattress. Therefore, the applicability of the model needs to be tested. Moreover, it is worth further research to reduce the deformation error of each component.

As part of the series of studies on the intelligent air-spring mattress, the indentation-based evaluation method of spinal alignment in sleep postures will be studied for hardness and intelligent regulation based on this study.

The results of this research are ultimately used for the intelligent adjustment of air-spring mattresses, which automatically adjusts the hardness according to the user's sleep postures and spinal alignment, thus maintaining optimal spinal biomechanics. The successful application of this result could improve the sleep health of the general public.

Based on the series system theory, an indentation calculation model for mattresses with arbitrary structure is proposed, overcoming the dependence of parameters on materials and their combinations when fitting the Burgers model. Further, the spinal alignment in supine posture is extracted from the indentation, laying a theoretical foundation for further recognition and adjustment of the spinal alignment of the intelligent mattress.

The purpose of this study is to empirically examine the impact of cosmopolitan consumer orientation (CCO) on sustainable apparel consumer behavior.

A total of 469 US responses collected using MTurk were retained for the analysis after screening for unengaged responses. Structural equation modeling was used to confirm the factor structure of the measurement model and to analyze the structural model. A two-step cluster analysis using log-likelihood distance measure and Akaike's Information Criterion was conducted to explore consumer profiles and past behavior.

Based on the model results, CCO positively impacts apparel sustainability knowledge, attitude toward purchasing sustainable apparel, perceived norm and sustainable apparel purchase intention. Attitude and perceived norm also impact sustainable purchase intention. The two-step cluster analysis, based mainly on sustainable past behavior, reveals that the group of sustainability engaged consumers knows more about apparel sustainability, has a stronger intention to purchase sustainable apparel, is more cosmopolitan and shows a higher tendency to follow social norms. Consumers in this group also tend to live in metropolitan areas and are slightly younger than unengaged consumers.

This study expands CCO research linking two major trends in society and industry: cosmopolitanism and sustainable apparel consumer behavior. The study reveals that CCO uplifts consumers' sustainable behavior and provides evidence in support of CCO as a driver of sustainable consumer behavior. Moreover, results imply a positive future outlook for the diffusion of sustainable apparel, as well as a much-needed mainstream consumer adhesion to more sustainable lifestyles. Given the repercussions of the findings, this research has numerous theoretical as well practical implications.

Contractual services are characterized by features such as termination fees, long-term commitment, and complex terms. When customers find better deals from other providers, they may want to switch, but contractual obligations prevent them from doing so. Thus, this study aims to draw upon the stimulus-organism-response paradigm and theories of emotion regulation to examine how punitive switching costs (PSCs) can evoke negative emotions (NEs) from customers and, consequently, lead to negative behavioral responses in contractual service settings.

This study collected data from 395 customers of telecommunications companies, fitness centers, tutoring firms/centers, and house leasing companies in Taiwan. We tested the hypotheses using partial least squares structural equation modeling via SmartPLS 3.0.

The results show that NEs partially mediate the relationship between PSC and customers’ switching intention and negative word-of-mouth. This study also finds alternative attractiveness (AA) and service recovery (SR) do not moderate the PSCs–NEs relationship, but AA does directly influence NEs.

First, this study contributes to the literature on switching costs by exploring how PSC exerts a detrimental impact on behavioral responses. Second, this study adds to the literature on service failures by identifying the mediating role of NEs in such a relationship.