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Providing high-quality and cost-efficient care of older people is an important development priority for many health and social care systems in the world. This paper suggests a shift from acute, episodic and reactive hospital-centered care toward longitudinal, person-centered and proactive home-centered care. The purpose of this paper is to contribute to the knowledge of a comprehensive development strategy for designing and providing home-centered care of older people.

The study design is based on qualitative research with an inductive approach. The authors study development initiatives at the national, regional and local levels of the Swedish health and social care system. The data collection methods included interviews (n = 54), meeting observations (n = 25) and document studies (n = 59).

The authors describe findings related to policy actions and system changes, attempts to achieve collaboration, integration and coordination, new forms of care offerings, characteristics of work settings at home and differences in patients' roles and participation at home and in the hospital.

The authors suggest home-centered care as a solution for providing person-centered and integrated care of older people and give examples of how this can be achieved.

The authors outline five propositions for research and development related to national policies, service modularity as a solution for customized and coordinated care, developing human resources and infrastructure for home settings, expanding services that enable older people living at home and patient co-creation.

This study investigates the relationships among digital transformation, technological innovation, industry–university–research collaborations and labor income share in manufacturing firms.

The relationships are tested using an empirical method, constructing regression models, by collecting 1,240 manufacturing firms and 9,029 items listed on the A-share market in China from 2013 to 2020.

The results indicate that digital transformation has a positive effect on manufacturing companies’ labor income share. Technological innovation can mediate the effect of digital transformation on labor income share. Industry–university–research cooperation can positively moderate the promotion effect of digital transformation on labor income share but cannot moderate the mediating effect of technological innovation. Heterogeneity analysis also found that firms without service-based transformation and nonstate-owned firms are better able to increase their labor income share through digital transformation.

This study provides a new path to increase the labor income share of enterprises to achieve common prosperity, which is important for manufacturing enterprises to better transform and upgrade to achieve high-quality development.

Green innovation in supply chains is crucial for socioeconomic development and stability. Factors that influence collaborative green innovation in the supply chain are complex and diverse. Exploring the main influencing factors and their mechanisms is essential for promoting collaborative green innovation in supply chains. Therefore, this study analyzes how upstream and downstream enterprises in the supply chain collaborate to develop green technological innovations, thereby providing a theoretical basis for improving the overall efficiency of the supply chain and advancing green innovation technology.

Based on evolutionary game theory, this study divides operational scenarios into pure market and government-regulated operations, thereby constructing collaborative green innovation relationships in different scenarios. Through evolutionary analysis of various entities in different operational scenarios, combined with numerical simulation analysis, we compared the evolutionary stability of collaborative green innovation behavior in supply chains with and without government regulation.

Under pure market mechanisms, the higher the green innovation capability, the stronger the willingness of various entities to collaborate in green innovation. However, under government regulation, a decrease in green innovation capability increases the willingness to collaborate with various entities. Environmental tax rates and green subsidy levels promote collaborative innovation in the short term but inhibit collaborative innovation in the long term, indicating that policy orientation has a short-term impact. Additionally, the greater the penalty for collaborative innovation breaches, the stronger the intention to engage in collaborative green innovation in the supply chain.

We introduce the factors influencing green innovation capability and social benefits in the study of the innovation behavior of upstream and downstream enterprises, expanding the research field of collaborative innovation in the supply chain. By comparing the collaborative innovation behavior of various entities in the supply chain under a pure market scenario and government regulations, this study provides a new perspective for analyzing the impact of corresponding government policies on the green innovation capability of upstream and downstream enterprises, enriching theoretical research on green innovation in the supply chain to some extent.

Gamification design is considered an effective way of changing users' health behavior and improving their health management performance. Even though numerous studies have investigated the positive effect of gamification competition on users, little research has considered gamification's ineffectiveness and negative effects. In particular, how gamification competition affects users' technological exhaustion remains unclear.

According to flow theory and related research on gamification, this study discusses the nonlinear relationship between gamification competition and users' technological exhaustion. Furthermore, the authors analyze the moderating effect of user type (socializers and achievers) and users' health condition on this nonlinear relationship. Based on flow theory, the authors propose a series of research hypotheses. To test all research hypotheses, the authors collected information from 407 users via a questionnaire as the data for this study.

The empirical results found a U-shaped relationship between gamification competition and technological exhaustion. Technological exhaustion gradually decreases as competition increases until reaching the lowest point; after that, technological exhaustion gradually increases as competition increases. Further, being a socializer and health condition play a moderating role in the U-shaped relationship between competition and technological exhaustion.

This study's findings not only enrich the related research in flow theory and gamification, but also contribute to the effective design of gamification in health management platforms.

This study aims to consider environmental sustainability, a global challenge under the preview of sustainable development goals, highlighting the significance of knowledge economy in attaining sustainable aggregate demand behavior globally. For this purpose, 155 countries that have data available from 1995 to 2021 were selected. The purpose of selecting these countries is to test the global responsibility of the knowledge economy to attain environmental sustainability.

Results are estimated with the help of panel quantile regression. The empirical existence of aggregate demand-based environmental Kuznets curve (EKC) was tested using non-linear tests. Moreover, principal component analysis has been incorporated to construct the knowledge economy index.

U-shaped aggregate demand-based EKC at global level is validated. However, environmental deterioration increases with an additional escalation after US$497.945m in aggregate demand. As a determinant, the knowledge economy is reducing CO₂ emissions. The knowledge economy has played a significant role in global responsibility, shifting the EKC downward and extending the CO₂ reduction phase for every selected country. Further, urbanization, energy intensity, financial development and trade openness significantly deteriorate the environmental quality.

This study contains the empirical existence of aggregate demand-based EKC. The role of the knowledge economy is examined through an index which is calculated by using four pillars of the knowledge economy (technology, innovations, education and institutions). This study is based on a combined panel of all the countries for which the data was available.

The purpose of the present study was to investigate the interrelationships among the dimensions of sport event experience, event satisfaction and event behavioral intentions.

The sample was comprised of 186 individuals who actively participated in a mass participation sport event. Partial least squares-structural equation modeling (PLS-SEM) was employed to test the relationships among the latent constructs.

The results indicated that the dimensions of sport event experience predicted 55% of the variance of event satisfaction and 63% of the variance of event behavioral intentions was predicted by sport event experience dimensions and event satisfaction. Specifically, the sensory, affective and relational dimensions of experience sought to have a statistically significant and positive association with event satisfaction, while event satisfaction and the relational dimension of experience were found to have a statistically significant and positive correlation with event behavioral intentions. In addition, event satisfaction was found to mediate the relationships between sensory, affective and relational experiences and event behavioral intentions.

The present study is one of the first that explores the relationships among sport event experience’s dimensions, event satisfaction and positive behavioral intentions in the context of sport event participation.

Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human–computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.

A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum–based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including “Multi-head Attention-based Intra-modality Interaction Module” and “Multi-head Attention-based Cross-modality Interaction Module”, are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.

Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.

The proposed KE-AFN can support the development of engaging and empathetic human–computer interaction environment.

This study aims to fill this research gap by providing a comprehensive exploration of the transnationalization of higher education in China and Asia, with a particular focus on how institutions maintain quality assurance and how student learning experiences are reported.

The transnationalization of higher education involves educational programs and services provided by institutions or universities in a country other than their home country where students from diverse countries are trained. The goal of transnational education is to offer higher education to students who face obstacles in physically entering the host country of a transnational program, encourage globalization, enhance cross-cultural communication and improve the quality of education by expanding students' learning opportunities, providing diverse educational experiences and elevating academic standards. The transnationalization of higher education has become a crucial endeavor in Asia, especially in countries such as China, Malaysia and Singapore, where rapid economic development and globalization have prompted the need to evolve into knowledge-driven economies to meet the increasing demand for higher education. The factors driving the expansion of transnational higher education in China and Asia include the desire for top-quality education, the allure of international students, the establishment of worldwide collaborations and aspirations to be recognized as centers of academic distinction. The rapid expansion and increasing importance of transnational higher education has underscored the vital role of quality assurance. To guarantee educational quality, maintain institutional reputation and improve overall student outcomes, several agencies and frameworks have been established to uphold international standards.

Based upon extensive literature reveiw and case analysis, our findings indicated the quality assurance assessment varies and is primarily influenced by host countries and provider polices. However, students in transnational higher education programs report satisfaction with their experienes and the quality of their programs, which tends to meet their expecations.

This study presents the first comprehsensive literatrue rewiew and case analysis of how transnational higher education in China, Sinapore, Malaysia and Vietnam uphold quality assurance and report students learning experiences. Additionally, the findings highlight why future researceh on this topic is crucial and why forestering colloboration among countries in Asian regions is imporant in term of growing geo-politics.

This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.

Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.

This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.

Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.

The purpose of this paper is to investigate the moderating effect of homophily between trust in social media influencers (SMIs) and credibility of the post in influencer marketing by incorporating the similarity attraction theory (SAT) and analysing the effect of trust in SMIs on online purchase intention and credibility of the post. This study also explored the mediating role of influencers’ credibility of the post between trust in SMIs and online purchase intention.

The data were collected from 417 respondents in Jaipur, India, using an online questionnaire via Google Forms. A convenience sampling technique was employed to collect the data. Partial least squares structural equation modelling (PLS-SEM) was used to test the proposed hypotheses with the help of SmartPLS version 4.

The results exhibit a positive and significant influence of trust in SMIs on credibility of the post and online purchase intention. Also, this study found a positive and significant relationship between credibility of the post and online purchase intention. Additionally, credibility of the post had a positive and significant mediation role in the relationship between trust in SMIs and online purchase intention. In addition, homophily positively moderated the relationship between trust in SMIs and credibility of the post.

The findings of this study can be used by marketing professionals working in the e-commerce industry to ensure their continued in success using the right influencers for their specific target audiences and help them create and implement more effective promotional strategies, increasing brand awareness, announcing sales, using them for creative content and so on.

Until now, there has been no study in the Indian context that has tested the moderation effect of homophily between the trust in SMIs and credibility of the post by incorporating the SAT, according to the researchers’ knowledge. Furthermore, this novel piece of research explored the relationship between trust in SMIs and online purchase intention with credibility of the post as a mediator.