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The application of social sciences has been recognized as valuable to inclusive humanitarian programming that aims to be attentive to the needs and initiatives of affected communities. However, the integration of social science-informed community engagement (CE) approaches in humanitarian action remains episodic, fragmented, and under-resourced. This research article provides insights from a study that reviewed existing and needed capacities for the systematic integration of social sciences for community engagement in humanitarian action. We examined what capacity resources exist and what resources need to be developed for strengthening social science integration into humanitarian programming for improved engagement of affected and at-risk communities in conflict and hazard contexts. A mixed method approach was used, including twenty-two key informant interviews and a focus group discussion with social scientists and humanitarian practitioners, an online survey with 42 respondents, a literature review, and a year-long monthly consultation with social scientists and humanitarian practitioners in a UNICEF-led global technical working group. Results illustrate insights on the value of the "social science lens" in humanitarian action and current usage of different social science disciplines. Challenges found include different understandings (e.g., on standardization), languages and methods used by practitioners and social scientists, and how to integrate the seemingly "slow" processes of social sciences to fit emergency response. Institutional barriers to mainstream community-centered humanitarian action facilitated by the social sciences include top-down decision-making and resourcing, lack of localization, and many siloed, dispersed, and episodic efforts. [ABSTRACT FROM AUTHOR]

This article examines Higher Education students' experiences of academic reading as a grudging act: something that is performed reluctantly or half-heartedly, because it has to be done. Drawing on group interviews with 30 social science undergraduates, registered at a research-intensive UK university, we offer a reflexive thematic analysis of academic reading, experienced as 'a struggle', as 'a chore' and as 'pointless'. Our analysis centres the experiential dimensions of reading, revealing how student orientations towards reading—and the teaching that surrounds it—can influence their practices. The article makes two original contributions to the developing literature about student reading experiences in Higher Education. First, by examining student accounts of reading through Bottero's (2022) sociology of 'grudging acts', we extend what is known about the intersection between reading experiences and practices, raising important questions for educators in the social sciences and beyond. Second, by examining what educators can do in response to these challenges, we collate and extend existing guidance for educators that seek to support student engagement with academic reading in Higher Education. [ABSTRACT FROM AUTHOR]

A prominent position in the scholarly literature is that there is no duty to obey the law or political obligation. This is in contrast with lay opinion, which suggests widespread acceptance of political obligation. When confronted with this tension, skeptics of political obligation sometimes raise the possibility that lay belief is the product of sinister interests. Against this, I argue that, even if such a belief is false, belief in political obligation may operate as a useful fiction that advances people's interests. Drawing on empirical work in the social sciences, I suggest a belief in political obligation may contribute to effective governance. Even if political obligation skeptics are correct that there is no such duty to obey the law, lay belief in political obligation may play a valuable ideological function in society. [ABSTRACT FROM AUTHOR]

Several philosophers have attempted to identify how it is that “social structure” can explain phenomena. Some of the most prominent of these philosophers have posited that what we call “social structures” are sets of constraints acting on individuals that guide and regulate their actions, either coercing agents into making choices, raising the probability that they will make certain choices, or making those actions reasonable or rational. Others have argued that social structures are factors that “program” for social outcomes. Examining historical work in quantitative sociology, I argue that both views are too narrow. I present Peter Blau’s distinction between microstructure and macrostructure, articulate their differences, and then argue that for some social scientific questions, macrostructural explanations are better positioned to supply answers. Macrostructural explanations abstract away from the relata between individuals and so do not involve constraints. Further, macrostructural explanations draw on facts about population structure, and so do not fit the form of programming explanations. I motivate this category of explanation by considering social scientific research that comports with macrostructural explanation. [ABSTRACT FROM AUTHOR]

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Withdrawal from doctoral education has been recognized as a problem with negative consequences for different actors, leading researchers worldwide to explore its underlying factors and processes. However, even if many PhD candidates who withdrew intend to re-enrol, there is a gap in the literature regarding the factors and processes related to re-enrolment. The aim of this qualitative study is to understand pre- and post-withdrawal experiences of PhD candidates and the factors and processes related to withdrawal, dropout and re-enrolment, through the voices of PhD candidates who withdrew and faculty in social and health sciences in a Portuguese university. Our findings conceptualize withdrawal as a behavioural manifestation of disengagement processes comprising interacting emotional/affective, cognitive, and behavioural dimensions, which start before withdrawal, extend beyond it, and may culminate in dropout or re-engagement and re-enrolment. Factors and processes related to withdrawal, dropout, or re-enrolment were situated in various nested contexts. This study highlights the need for an academic cultural change, to envisage withdrawal as a process that does not necessarily mark the end of PhD candidates' incursion into doctoral education. It draws attention to the need to provide adequate working conditions for PhD candidates, and also to promote follow-up and communication with PhD candidates who withdrew. [ABSTRACT FROM AUTHOR]

In this paper we introduce the view that realism about a social kind K entails that the grounding conditions of K are difficult (or impossible) to manipulate. In other words, we define social kind realism in terms of relative frame manipulability (RFM). In articulating our view, we utilize theoretical resources from Epstein's (Epstein, The ant trap: Rebuilding the foundations of the Social Sciences. Oxford University Press, 2015) grounding/anchoring model and causal interventionism. After comparing our view with causal and principle-based (Tahko, Synthese 200(2):1–23, 2022) proposals, we motivate RFM by showing that it accommodates important desiderata about the social landscape (such as recognizing the context-relativity of social properties and the emancipatory dimension of social practice). Finally, we consider three objections. First, we tackle frame-necessitarianism (FN), the view that social kind frames are metaphysically necessary (and thus unmanipulable). Secondly, we engage with what Epstein (Epstein, Philosophy and Phenomenological Research, 99(3):768–781 2019a) calls UNIVERSALITY (the view that social kinds can hold in the absence of anchors) and we argue that it should also be resisted. Finally, we tackle a recent objection from Mason's (Mason, Philosophical Studies, 178(12):3975–3994) essentialism about social kinds. [ABSTRACT FROM AUTHOR]

This study examines the effectiveness of a new approach for a university transition program that uses a location-based game to familiarize first-year students with the university environment during the COVID-19 pandemic. The study involved 775 university students from 15 faculties, 9 from Human and Social Sciences and 6 from Technology and Science, who participated in the experiment by playing the game for one month. This study uses a mixed-method approach with an explanatory sequential design to collect both quantitative Pre-Post tests, IMI questionnaire, and data usage) and qualitative data (open-ended questionnaire) to evaluate the knowledge of university transition and intrinsic motivation between students in the field of Technology and Science and Humanities and Social Sciences. Overall, the findings revealed that all participants who completed the program significantly improved their knowledge of university transition. The study also found that students in the field of Technology and Science learned significantly better than those in Humanities and Social Sciences, but there were no significant differences between the two groups in terms of intrinsic motivation. The study concluded that participation in a location-based game for university transition engaged students in a more contextual and realistic way of learning to become familiar with the university. However, the study noted that the game may not be suitable for all students and should be considered as an additional tool for orientation. Future research work is also discussed. [ABSTRACT FROM AUTHOR]

Abstract In the Internet era, the communication environment of university students’ ideological and mental health education (IMHE) has become more complex. Few studies have focused on the communication effect of Internet contact on the IMHE of university students. This study adopts a questionnaire survey method to explore Internet contact and IMHE of 2294 university students. The study found that Internet was the most important information source for university students. Nearly half of the university students spent 2–5 hours online per day for entertainment or fragmented learning. Educational films, communication and discussion, and classroom teaching were the three most popular forms of IMHE for university students, while comments on current events, psychological counseling, and national policies and regulations were the three favorite contents. Internet contact during (ICD) had significant impacts on the cognitive and behavioral communication effect of IMHE among Chinese university students. The emotional dimension had the best communication effect, followed by behavior and will, and finally the cognitive dimension. After conducting IMHE, university students had stronger emotional management abilities and were more optimistic. This finding suggested that when developing and implementing IMHE intervention for university students in schools, special attention should be paid to the impact of ICD differences on the communication effect of IMHE, especially cognitive communication needed improvement.

Abstract While scholars extensively study the middle-income trap, gaps persist, particularly regarding foreign direct investment and its role in transitioning from middle- to high-income status. This mixed-methods research examines the relationship between foreign direct investment inflows and escaping the middle-income trap. Utilizing a comparative case study of the automotive industries in Mexico and South Korea during the 1960s to 2000s, alongside logistic regressions, we consistently observe a negative correlation; higher foreign direct investment inflows are associated with a decreased likelihood of escaping the middle-income trap. This confirms the World-Systems Theory’s view of the relationship between foreign direct investment inflows and the middle-income trap. The implications of this study should induce caution on the part of middle-income countries when accepting foreign direct investment in strategic, high-value-adding industries. This study recommends opting for purchasing foreign technology or for joint ventures that ensure technology transfers. This research addresses a critical gap, offering insights into the nuanced dynamics of foreign direct investment’s effects on the transition from middle to high-income status.

Abstract This theoretical review/metatheory examines different theoretical approaches to digitalisation. With a focus on education, it analyses how the digitalisation of Latin American populations in vulnerable contexts is understood in 87 documents published by Latin American institutions between 2000 and 2022 that met the inclusion criteria. An inductive coding analysis of their theoretical perspectives on ICT and digitalisation was conducted, yielding four categories as results: a tendency toward (1) a humanistic model of digitalisation, (2) with a social focus, (3) a sociocultural perspective, and (4) a communitarian-substantialist understanding of ICT. The implications of these theoretical perspectives for education are discussed in terms of the aims and expectations placed upon digitalisation and can serve as a theoretical basis for public educational policies seeking to advance development in Latin America, understood in human, not just economic, terms.

Abstract The rapid rise of live-streaming selling and the increasing diversity of e-commerce channels have sparked ongoing debates regarding product pricing power. This price competition behaviour of online dual channels triggered by the supply-side pricing dilemma is a topic of significant research interest and forms the focal point of this paper. Therefore, we leverage the principles of game theory to construct a three-party evolutionary game model consisting of a brand, a steamer, and a traditional e-commerce platform. Within this framework, the brand holds the primary pricing authority. Our analysis examines the equilibrium strategies adopted by the various players under diverse scenarios and explores how the evolving behaviours of these parties impact the overall game system. Additionally, we employ the “people-goods-scene” perspective to deconstruct the intricate dynamics within this complex supply chain ecosystem. Our findings reveal two distinct evolutionary stable strategies: one in which brands maintain a stance against low-price negotiation, streamers avoid bargaining, and platforms avoid providing subsidies; the other in which brands are open to negotiating low prices, streamers engage in bargaining, and platforms provide subsidies. Notably, in most cases, brands tend to avoid explicitly stating their opposition to low-price negotiation. However, if a brand’s strategy shifts towards rejecting such negotiation, the negative implications of price wars across channels become a critical consideration. Conversely, when a brand opts for a more concessive pricing strategy, we need to consider the potential positive impacts of low-price competition.

Abstract Researchers and policymakers hold diverse opinions about the impact of globalization on environmental degradation. Over the past three decades, increased economic, social, and political interconnections have fueled this debate. However, prior studies have largely overlooked these facets of globalization concerning environmental implications, particularly carbon emissions in developing countries. We contribute to this discourse by examining how various aspects of globalization (economic, social, and political) and two specific measures, de facto and de jure trade, influenced carbon emissions in four selected South Asian countries from 1996 to 2019. The results obtained through feasible generalized least squares (FGLS) reveal that economic globalization increases carbon emissions while social and political globalization reduces them. These results further confirm that, in South Asia, the pollution haven hypothesis is associated only with economic globalization. In contrast, social and political globalization support the world polity theory, indicating potential for positive change. The results also show that both de facto and de jure measures of disaggregated globalization equally influence carbon emissions, suggesting a significant impact from policy interventions. For future environmental sustainability, the governments of these nations should intensify their efforts to strengthen social and political globalization. Meanwhile, the adverse effects of economic globalization can be mitigated by reducing reliance on fossil fuels and providing financial assistance to businesses to encourage the use of renewable energy and modern technology in production.

Abstract This paper highlights the necessity for nations to adopt green growth strategies to achieve economic prosperity, social equity, and environmental sustainability. By examining governance indicators in six East Asian economies from 1995 to 2021, it finds that a 1% increase in the rule of law boosts green energy deployment by 0.33%, while a 1% rise in corruption reduces it by 0.25%. Similarly, a 1% increase in transparency leads to a 0.45% rise in green energy. Higher income levels encourage green energy adoption, with a 1% increase in income resulting in a 0.19% boost, whereas a 1% rise in income inequality decreases deployment by 0.32%. The paper suggests policies to enhance the rule of law, promote transparent governance, reduce income inequality, and encourage inclusive growth to support green growth objectives.

Abstract Globally, poverty and illness are linked, attracting widespread attention. In China, illness contributes to about 40% of rural poverty. This study sought to investigate how healthcare-seeking behavior differs between impoverished and non-impoverished populations within the same Chinese healthcare delivery system. It also sought to understand how differences should be considered when assessing spatial accessibility to provide more accurate recommendations for healthcare resource optimization and promote village revitalization and health equity in China. Methodologically, a survey conducted in May 2019 in Enshi Prefecture (a national impoverished region in Hubei Province, China) collected data on healthcare resource utilization regarding the inpatient and outpatient needs of both impoverished and non-impoverished populations. A Chi-square test compared their respective healthcare-seeking behaviors in three respects (e.g., preference for healthcare institution type, transportation mode, and travel time). Baidu Map data with healthcare institution locations and real-life travel times were then incorporated to assess spatial access to different types of healthcare institutions. Results showed that in Enshi, the most widespread village clinics (low-level) were generally the most utilized healthcare institutions for outpatient visits, with patients usually walking for about 30 min. The middle-level Township Health Centers (THCs) and high-level public hospitals were the most used for inpatient visits, with patients willing to drive up to 30 min to THCs and 60 min to hospitals. Comparatively, the impoverished have more frequent service demands but tend to choose lower-level healthcare institutions, with longer travel times and limited transportation modes. Although 75% of Enshi’s area was covered within 30 min by village clinics and 51% of the villages were within 60 min’ drive to hospitals, considerable areas remain under-served compared with the shortest travel time targets in China. In conclusion, spatial access to healthcare resources in Enshi must be further improved, especially by strengthening the service capacity of primary healthcare institutions to address the healthcare needs of Enshi’s impoverished population. The disparity in healthcare-seeking behavior between different population groups should be fully considered to effectively allocate limited healthcare resources to promote health equity for vulnerable populations as proposed in international and domestic policies.

Abstract Previous studies have shown that a high prevalence of depression and anxiety is a key factor leading to a decrease in student satisfaction with university life. Therefore, this study used two waves of longitudinal data to investigate the longitudinal relationships among depression, anxiety, and student satisfaction with university life among college students. We employed correlation analysis and cross-lagged models to analyze the correlation and cross-lagged relationships among depression, anxiety, and student satisfaction with university life. The results indicate a significant negative correlation between depression and student satisfaction with university life. The cross-lagged models indicate that depression (Time 1) negatively predicts student satisfaction with university life (Time 2). Anxiety (Time 1) does not have a significant predictive effect on student satisfaction with university life (Time 2). Moreover, student satisfaction with university life negatively predicts both depression (Time 2) and anxiety (Time 2). Improving student satisfaction with university life has a significant impact on reducing levels of depression and anxiety among college students. The research results can provide valuable information for mental health professionals, school administrators, and policymakers, enabling them to take more targeted measures to reduce depression and anxiety symptoms among university students and enhance student satisfaction with university life.

Abstract This research applies and integrates transactive memory systems (TMS) theory and the Big Five personality traits model to investigate the performance dynamics of dyadic teams engaged in virtual collaborative problem-solving (CPS). Specifically, this study examines how the personal attributes of team members, including their expertness and Big Five personality traits (extraversion, agreeableness, openness, conscientiousness, and neuroticism), as well as the resultant diversity in expertness and Big Five personality traits within teams, influence both team-level and individual-level performance gain from virtual collaboration. Studying 377 dyadic teams composed of 754 individuals working on an online collaborative intellective task, this research found that dyads with high expertness diversity had greater performance gain from virtual collaboration than dyads with low expertness diversity. Further, dyads, where both members scored low on agreeableness, showed the most significant improvement in team performance. At the individual level, a team member who had a low expertness level but was paired with a high-expertness teammate demonstrated the greatest performance gain from virtual collaboration. The integration of TMS theory and the Big Five personality traits model provides a richer and more nuanced understanding of how individual attributes and team dynamics contribute to successful virtual CPS outcomes.

Abstract In the age of information explosion, people are increasingly accustomed to acquiring knowledge during fragmented periods of time, which has contributed to the growing popularity of micro-learning. However, when micro-learning takes place in non-formal or informal settings, it can be easily disrupted and may lack interaction, negatively impacting the learning experience and knowledge acquisition. This study examined the effect of learning communities on knowledge acquisition and learning experience in non-formal micro-learning settings. An 8-module micro-learning course was designed, and 80 participants were divided into an experimental group with a learning community and a control group without one. All participants completed a pre-test and post-test. The results showed significant improvements in post-test scores for both groups, with no notable difference in knowledge acquisition between them. Learners who took notes and repeatedly reviewed the learning content tended to have higher post-test scores. In addition, differences between the groups in terms of mental effort and satisfaction were insignificant. By the end of the course, the control group expressed a stronger desire to join a learning community. Community learners who made significant progress reported enjoying learning within the community, while those who did not regularly check community messages and experienced a decrease in test scores reported that excessive messaging caused distress. These findings have implications for course designers and researchers aiming to enhance micro-learning through online learning communities.

Abstract At the end of 2019, the world grappled with an unparalleled public health crisis due to the COVID-19 pandemic, which also precipitated a global economic downturn. Concurrently, material panic buying occurred frequently. To restore benign market order, the government instituted a series of interventions to stabilize the market. This scholarly exploration dives deep into evaluating the tangible impact of these governmental measures in Hubei, China, a region which found itself at the very epicenter of the epidemic in its onset phase. Existing papers often employ structured questionnaires and structural equation methods, with small samples and limited effective information. In contrast, we used a dataset of tens of thousands of entries and employed text analysis to maximize the extraction of valid information. Through a meticulous analysis of public feedback, our findings unveil several pivotal insights: (1) The news measures of materials have the best effect. Their effectiveness, in descending order, is ranked as: material sufficiency > authority effect > market supervision > appeal and guidance; (2) Government measures during the epidemic’s initial phase exhibited a delay. After the lockdown measures, the phenomenon of large-scale buying has been formed, and the relevant material news was released later; (3) A dual approach combining authority influence with material sufficiency yielded the most favorable results. In light of these findings, the paper concludes with tailored recommendations aimed at amplifying the efficacy of government-led public opinion interventions in future crises.

Abstract This mixed-methods study investigates the complex factors affecting the psychological well-being of Chinese EFL teachers, particularly the direct effects of mindfulness and growth mindset, and the mediating role of teaching enthusiasm. A quantitative survey (n = 268) was distributed to EFL teachers across diverse provinces in China. Established scales measured psychological well-being, mindfulness, growth mindset, and teaching enthusiasm. The data was analyzed using structural equation modeling (SEM) with two phases in SPSS and AMOS software. A qualitative phase, employing semi-structured interviews with a subsample (n = 12) of participants, provided deeper insights into the lived experiences of teachers. The quantitative analysis yielded positive direct relationships between mindfulness, growth mindset, and well-being. Notably, teaching enthusiasm emerged as a significant mediating factor. These findings suggest that mindfulness and growth mindset indirectly influence well-being through their positive impact on teaching enthusiasm. The qualitative data corroborated these results, showcasing how mindfulness practices and a growth mindset contribute to a more passionate and fulfilling teaching experience. These combined findings underscore the importance of promoting mindfulness, growth mindset, and teaching enthusiasm to enhance the psychological well-being of Chinese EFL teachers.

Abstract This study explored the influence of COVID-19 stigma on the city image of Wuhan by adopting the associative group analysis method. The collected data were free associations of the word “Wuhan” from 39 non-Chinese participants residing outside of China. It found that there were 12 meaning categories related to the city image of Wuhan, half of which were related to COVID-19, and the other half were related to Wuhan city. 56.45% of the associated words were related to COVID-19 and 43.55% to Wuhan city. The results demonstrated that the city image of Wuhan was impacted by the COVID-19 pandemic, mediated by personal experience and perceived media reports. The associated words have constructed a “Wuhan-COVID-19” stereotype, including “Wuhan-birthplace of COVID” and “Wuhan-eating wild animals”. This reflected that the city image of Wuhan endured stigma in the global community. The study provided implications for eliminating stigma and reconstructing group relationships in the global community.

Abstract From a meaning-oriented perspective, the study drew on the nominalization in Systemic Functional Linguistics with Coh-Metrix and interviews to check how L2 academic writing of student writers may develop with the implementation of task-type repetition (TtR). The findings revealed that the development of L2 academic writing was presumably staged rather than constantly linear. Over the development, language proficiency dynamically resonated with TtR. First, the beginning session of TtR (from Task 1 to around Task 4) witnessed a more dynamic developmental trajectory during which the low-proficiency student constantly outperformed the other two in inter-sentential cohesion, while the intermediate-level student stood out over the middle session (Task 4- around Task 8). Second, at three genre stagings, students’ genre knowledge deeply resonated with their meaning-making activities throughout TtR, particularly in facilitating individual iterative reflection on their established writing knowledge. Third, the deficiency of genre knowledge may cause wide-range absence of nominalization at DESCRIPTION and CONCLUSION than EXPOSITION. Fourth, the linguistic fossilization identified at DESCRIPTION implies that anaphoric reconstrual may be individually mediated (by grammatically complicating the syntax in the study). Finally, a nuanced improvement in metaphorical enrichment and control was identified.

Abstract Intergenerational relationships that highlight learning characteristics are created in interpersonal conflicts and lifelong education. Realizing the high-quality development of intergenerational learning has become a key problem. A primary school in eastern China united communities and families to create an efficient intergenerational learning project. This study aims to explore how this intergenerational learning is created. A principal, a teacher, two community educators, and five family members were recruited as the unstructured interview participants to collect data. This study finds that the school, community, and families play irreplaceable roles in creating intergenerational learning. Influenced by educational policies and education responsibilities, the school proactively designed the intergenerational learning project that takes grandparents to school in interaction with the community and families. Adhering to the principle of social services and age-friendly, the community provides sufficient educational resources for implementing intergenerational learning through collaborative support. Considering the generation gap and integration between grandparents and grandchildren, families as participating identities make intergenerational learning from possible imagination into real practice. This study highlights the theoretical framework of how intergenerational learning is created in school-community-family collaboration. The practical implications for optimizing intergenerational relationships and coping with population aging are further emphasized.

Abstract After the implementation of Poverty Alleviation Relocation (PAR), the social integration of migrants has gradually received attention. While studies recognize the factors affecting migrants’ social integration such as human capital, social capital, and policies are multiple and co-influential, the role of community support in simultaneously influencing migrants’ social integration has been largely overlooked. This paper addresses this gap by introducing community support into the social integration framework, taking China’s PAR that cause complex spatial, economic, and social changes as the object of study. We evaluated the social integration of Poverty Alleviation Migrants (PAMs) in five Ex-situ Poverty Alleviation Relocation (ESPAR) communities in the southwestern province of China across four dimensions: psychological identity, economic integration, communicative integration, and cultural acceptance. Utilizing a multiple linear regression model, we analyzed influencing factors on social integration. Results indicate that overall social integration of PAMs is at a medium-high level, with psychological identity scoring the highest. Notably, community support significantly influences the social integration of PAMs, particularly in terms of psychological identity. In conclusion, we highlight the imperative of enhancing the spatial environment of ESPAR communities to facilitate the better integration of PAMs into society.

Abstract To rationally allocate land resources, the government has formulated biased land resource supply policies. However, this policy will promote the fluctuation of regional housing prices, thereby affecting regional innovation efficiency. To elucidate the intrinsic logical relationship among these factors, this study investigates the influence of biased land resource supply policies on housing prices and innovation across 31 Chinese provinces over a 16-year period. It places particular emphasis on probing into the spatial disparities in this impact. The innovation of this paper lies in the development of a theoretical analysis model, which creatively utilizes the regional land supply status as an instrumental variable to address the endogeneity problem. At the same time, a double robustness test was conducted by substituting the explanatory variables and employing the fixed effects model. The results of the TSLS regression indicate: (1) The land resource supply policy, which prioritizes the central and western regions, has resulted in an increase in housing prices across the majority of regions in China, with the eastern region experiencing a more rapid rise compared to the central and western regions. (2) The accelerated growth of housing prices in the eastern region is likely to exert a more pronounced inhibitory effect on innovation compared to the central and western regions. In summary, China’s land resource supply policy, which favors the central and western regions, has exacerbated the rise in housing prices in the eastern region, and rising housing prices will inhibit the innovation efficiency of the region. Hence, it is imperative for the government to continuously optimize and adjust land resource supply policies, ensuring their alignment with population migration patterns, stabilizing the real estate market, while also considering the innovation efficiency of regional development.

Abstract Non-financial information disclosed by firms is an important channel for investors and analysts to understand the operating conditions of firms and a major source of information other than financial data. This study examines the impact of disclosure of forward-looking non-financial information content by listed companies on the information efficiency of the capital market. Using data from A-share listed companies in China’s Shanghai and Shenzhen markets from 2007 to 2022, it is found that forward-looking non-financial information content has a positive impact on improving capital market information efficiency, while analysts’ attention plays a moderating role. The mechanism study finds that non-financial information disclosure with forward-looking content affects the accuracy of analysts’ earnings forecasts, the type of audit opinion, and the degree of financialisation of firms, which in turn have different impacts on the information efficiency of the capital market. The heterogeneity test finds that disclosure of non-financial information with forward-looking content will more significantly improve the information efficiency of the capital market if the listed company receives a high level of media attention, as well as listed companies with higher quality of internal control. This study explores the forward-looking characteristics of non-financial information in depth, enriches the study of information efficiency in the capital market, and provides theoretical suggestions for the content and direction of corporate non-financial information disclosure.

Abstract Given the urgency of climate change action and the significant climate impact of household emissions, understanding the drivers of individuals’ sustainable behavior patterns is more important than ever. Consequently, we investigate whether different clusters of individual users can be distinguished regarding sustainability-related values, attitudes, and intentions. If these diverse clusters exist, we can explore tailored approaches to promote sustainable behavior patterns among them based on their unique needs and targets. For this purpose, we employ a mixed-method approach combining qualitative interviews with a quantitative survey. The obtained insights help us identify core factors that drive sustainable behavior, develop representations of different user groups, and suggest individualized interventions for supporting sustainable behavior patterns. The qualitative part comprised interviews with ten participants, resulting in the development of qualitative personas. Emerging differences could subsequently be used to select validated psychological scales for the quantitative part to confirm the differences. Applying data-driven clustering, we identify five intention-based clusters that vary regarding factors such as belief in climate change, collaboration, or skepticism concerning sustainability. Building on both qualitative and quantitative insights, five validated personas are created for research and practical use. These personas include Socially Sustainable, Responsible Savers, Unconcerned Spenders, Comfort-Oriented, and Skeptical Consumers. Individuals corresponding to the selected persona may, for example, respond positively to sustainability benefits, while others may be more receptive to hedonistic benefits. Addressing related varying motivational factors raises the demand for individualized interventions. These could be achieved by incorporating the personas’ needs with more individualized products and services to promote sustainable behavior.

Abstract This study aims to examine the relationship between online volunteering and subjective well-being (SWB) and to explore the mediation effect of online bridging networks. The data used in this study came from the 2019 Chinese General Social Survey (CSS). In this study, individuals who responded to survey questions about their participation in online volunteering activities and their subjective well-being(SWB) were included for analysis (N = 5556). The results showed a positive relationship between online volunteering and online bridging networks and indicated that online volunteering affects subjective well-being through the mediating role of online bridging networks. The implications of this study are relevant to policy-makers in public health and social service organizations. Based on the findings, policy-makers and nonprofit organizations are called on to support this type of volunteering which is an important means of improving public health. Nonprofit organizations can establish online social networks for potential volunteers. In addition, nonprofit organizations need to invest more resources to enhance the digital literacy of employees and volunteers, in order to enhance the quality of online volunteering services.

Abstract The rapid development of mass entrepreneurship and innovation in China has substantially influenced the entrepreneurial environment, particularly among university students who are emerging as a vital entrepreneurial force. This study aimed to explore and identify the key characteristics and structural framework of entrepreneurial talents among university student entrepreneurs in China, specifically concerning their capacity to discover entrepreneurial opportunities. To achieve this, we conducted interviews with 21 exceptional university student entrepreneurs. A structural model was subsequently developed based on grounded theory, with data coded at three levels and tested for theoretical saturation. The results demonstrated that Chinese university students possess implicit and explicit capacities to detect business possibilities. Implicit abilities largely encompass the innate qualities of entrepreneurial drive and environmental intelligence, while explicit abilities comprise the acquired skills of learning, networking, and integration. This model can be used as a benchmark for assessing and enhancing the capacity of Chinese university students who are aspiring entrepreneurs to identify and exploit entrepreneurial opportunities.

Abstract Emergency language services play a critical role in emergency management and language services, facilitating effective information transmission, timely life-saving efforts, accurate public opinion guidance, and the maintenance of social stability during public emergencies. This study aims to comprehensively assess the current state of emergency language research, exploring recent advancements and future trends in emergency language services. Using bibliometric and content analysis, 3814 academic papers on emergency language services were systematically reviewed. Recent publications reveal a burgeoning interest in this field, particularly in the United States, Canada, the United Kingdom, and Australia. Research areas reflect a multidisciplinary approach to addressing the complex challenges of emergency language services. Keyword co-occurrence analysis unveils the pivotal research trajectories across various temporal phases. In the initial stage, emphasis was placed on unraveling communication and language hurdles within the emergency department. Transitioning into a phase of stable development, attention primarily gravitated toward natural language processing technology and the complexities of language barriers. Subsequently, during a period of rapid advancement, the spotlight shifted towards the pragmatic application of emergency language services amid the COVID-19 pandemic. This encompassed diverse domains such as distance education, telemedicine services, and exploratory investigations into social media dynamics. This evolution highlights an increasing interest in leveraging emerging technologies to enhance emergency response times and service quality. Future research should prioritize addressing key issues within the research framework and fostering interdisciplinary development.

Abstract This study investigates the factors influencing user resistance to e-health services among older adults, focusing on the role of information inequality, digital distrust, low self-efficacy, perceived risk, and social influence. Structured questionnaires were used to gather data from 301 older adult participants, and the structural equation modeling method was used to analyze the results. The results show that digital distrust, perceived risk, and user resistance have a significant positive relationship, underscoring the significance of resolving trust and risk concerns in e-health interventions. The study also finds that the association between digital distrust and user resistance is moderated by anticipated regret, indicating that people who anticipate regretting not adopting electronic health services are less likely to oppose digital technologies despite their distrust. Surprisingly, the study did not find support for the hypothesized relationship between information inequality and user resistance, indicating the need for further exploration of this complex relationship. The study contributes to a better understanding of the factors influencing user resistance to e-health services among older adults, offering valuable insights for policymakers and practitioners seeking to promote the adoption of digital health technologies in aging populations.

Abstract Democracy in the United States is in decline. The current work examines to what degree U.S. Americans perceive this decline in the U.S., and how partisanship may shape those perceptions over time. Using cross-sectional archival data spanning three U.S. presidential administrations (Study 1), we find that perceived levels of democracy by U.S. Americans on both sides of the political spectrum were not attuned to objective democracy indices but instead followed a partisan gap where election winners perceived higher levels of democracy than election losers. Using a longitudinal quasi-experiment tracking the 2020 presidential election (Study 2), we find that the effect of partisanship on perceived levels of democracy kicked in right after the announcement of the election winner but was the strongest after the official inauguration. Moreover, Trump supporters showed heterogeneous responses to the Capitol attack, which highlights the possibility of bipartisan willingness to defend democracy after salient attacks on democratic principles. We discuss the implications of the effect of partisanship on perceptions of democracy.

Abstract Early on in J. Sheridan LeFanu’s ‘Carmilla’, Laura’s father rattles off the opening lines of Shakespeare’s The Merchant of Venice (p.14; 1.1.1-4). It is the most obvious but not the only allusion to Shakespeare in LeFanu’s gothic tale. This article identifies a handful of further references, notably to Cleopatra and Ophelia, and to instances of disguise in The Taming of the Shrew and Romeo and Juliet, and to cross dressing in Twelfth Night. It begs the question, ‘What is Shakespeare doing haunting LeFanu’s nineteenth-century text?’ Ultimately connecting these allusions, some more subtle than others, to the othering of Carmilla (and her associates) and to the twin corruptions of cross-dressing and suicide, the article finds that the sometimes only half-visible figures of Shakespeare’s plays act as alluring but corrupting forces within LeFanu’s diabolical tale not unlike the titular vampire.

Abstract Prior research has shown that attitudes possess an implicit dimension that is crucial for understanding behavioral decisions. Personality traits, such as high need for cognition (NFC) and high need for affect (NFA), contribute to the formation of explicit and implicit attitudes through distinct routes, influencing the consistency between implicit and explicit attitudes. We employ Event-Related Potentials (ERPs) to examine how personality differences affect implicit attitudes and the efficacy of personalized matching in the context of COVID-19 vaccination. Phase 1 of the study explores whether participants with high need for cognition or high need for affect display varying levels of consistency between their implicit and explicit attitudes. After controlling for pre-existing positive explicit attitudes towards the COVID-19 vaccine, we discovered that participants with high NFC exhibit a more consistent attitude system, while those with high NFA do not. Phase 2 of the study reveals that personalized matching does not ensure a corresponding enhancement in persuasion, as it can influence people’s attitudes via different psychological processes based on their level of elaboration. These findings offer new insights into the factors driving COVID-19 vaccine hesitancy and the effectiveness of personalized persuasion strategies at the individual implicit cognitive level. Such understanding can assist in devising communication strategies for future vaccination promotion efforts.

Abstract The centrality of job satisfaction in fostering the stability and progression of the teaching cadre and in underpinning the effective operation of educational institutions is paramount. Drawing from motivation theory and the Job Demands-Resources model, this research delves into the influence of psychological empowerment on the job satisfaction of 533 preschool educators in China, employing the Psychological Empowerment Questionnaire, the Occupational Identity Questionnaire, and the Job Satisfaction Scale. The inquiry probes the intermediary function of occupational identity in the nexus between psychological empowerment and job satisfaction within the cohort of preschool teachers. The findings underscore that psychological empowerment substantially foretells heightened job satisfaction in preschool educators, and concurrently, occupational identity serves as a partial mediator in the association between psychological empowerment and job satisfaction. Augmenting levels of psychological empowerment and occupational identity among preschool teachers is a strategic avenue for fortifying their holistic contentment in their professional roles, thereby contributing indispensably to the fortification of a robust teaching workforce in kindergarten establishments.

Abstract This study explores the use of machine learning algorithms and EEG data to predict consumer purchasing decisions in an online shopping context. In a field experiment with 66 participants, we observed 328 decision-making instances. Two key EEG features—power spectral density (PSD) and prefrontal asymmetry index (PAI)—were analyzed. We employed traditional classifiers (KNN, RF, SVM) and a shallow neural network to assess predictive performance. Various feature selection methods (F-Score, T-value, Correlation, PCA, recursive feature elimination) were utilized. The results showed the SVM with a Gaussian kernel achieving the highest accuracy of 87.1%. Results underscore the significant roles of frontal and occipital regions in purchasing decisions. The PAI indicated the prefrontal cortex’s critical role in processing cognitive and emotional dimensions, while occipital PSD features highlighted visual processing and attention management in an online shopping environment. These findings affirm the potential of EEG features in consumer behavior analysis and emphasize the importance of advanced machine learning for interpreting neural decision-making correlates. This study provides a foundation for enhancing neuromarketing strategies and creating more engaging customer experiences, suggesting a comprehensive framework for improving marketing effectiveness and understanding consumer decision-making.

Abstract This study investigates how global misinformation and local cultural factors shape public perceptions of COVID-19 in Malawi. While misinformation about the pandemic often originates from global sources like the Internet and social media, its impact is influenced by religious and cultural narratives that resonate differently across various demographics, including gender. These ‘cultural determinants’ amplify the influence of misinformation, leading to widespread vaccine hesitancy. The paper draws on findings from a study conducted in the Malawian districts of Zomba, Dowa, and Nkhata Bay. The study reveals how religious prophecies and apocalyptic symbols, such as the ‘666’ mentioned in the biblical Book of Revelation, are used to frame vaccines as malevolent, distorting public understanding and fuelling fears about COVID-19. The role of social media in spreading misinformation is particularly significant, given its ability to quickly disseminate content and engage users as both consumers and creators of information. Despite limited internet access in Malawi, misinformation spreads effectively through offline spaces, where cultural beliefs and mistrust in political leaders further propagate it. This study highlights the need for culturally sensitive public health communication strategies to address the fears and beliefs that drive misinformation and vaccine hesitancy in Malawi and similar contexts. Although misinformation and vaccine hesitancy are global challenges, the study highlights that misinformation in Malawi is culturally specific, localised, and appeals to fears, with distinct resonance across the male-female gender divide.

Abstract The complex system of the settlement space in China’s Pearl River Delta region has always featured infrastructure as a key medium to explore the evolution of the settlement space. Therefore, anthropological research on infrastructure has become an important dimension for researchers to in analyzing social and spatial issues in the Pearl River Delta region. This study explores the correlation mechanism between infrastructure and settlement space by referring to literature reviews and empirical cases, revealing the underlying political factors, economic factors, cultural factors, and complex social change process of the physical space through empirical case studies. It provides a theoretical research genealogy for exploring spatial evolution in addition to a research sample for analyzing social and cultural changes in the Pearl River Delta region. Moreover, it emphasizes the cognitive significance of historical context and has important implications for future urban development.

Abstract Drawing on narrative transportation theory, we propose that when people consume a cultural product, they consume their emotions and memories through collective storytelling. Such emotions and memories are amplified by user comments on social media, enhancing the product’s influence and triggering audience engagement. We collected public data from NetEase Cloud Music—a major music streaming platform in mainland China—to investigate how the emotions and memories expressed in user comments influence the songs’ impact. Findings indicate that autobiographical narratives and negative emotions in user comments significantly boost a song’s influence. Moreover, user comments are particularly effective in promoting emerging artists with limited resources compared to their more established counterparts. This study advances the narrative transportation theory by emphasizing the role of active audiences and collective storytelling. Empirically, it extends the existing literature on the factors influencing cultural products on music streaming platforms in a non-Western context.

Abstract Integrating intelligent technology to promote smart education, had become a focus of education policies in many countries. However, there was little literature on strategies and trends of smart education policies at the national level. This study investigated the framework for developing national smart education strategies and trends of national policy making on smart education. Based on the Delphi technique method, a National Smart Education Framework was developed, consisting of four essential leveraging points: (1) forward-thinking governance and policy initiatives, (2) digital learning environments conducive to smart education, (3) transformative teaching and learning enabled through technology, and (4) overarching considerations. Additionally, a textual analysis method was employed to analyze 24 smart education policies from 24 countries or organizations, to uncover the strategies and policy trends of smart education in accordance with the proposed smart education framework. Promoting high-quality, inclusive, and accessible education, increasing Internet connectivity and access to digital tools, enhancing digital skills, ensuring information security and privacy, implementing new digital pedagogies, providing real-time feedback, emphasizing critical thinking, problem-solving, and creativity, etc. were the main trends for smart education policy making. The findings of this study provide valuable insights for policymakers and educators in shaping smart education policies and practices worldwide to promote sustainable development.

Abstract Institutions actively seek global talent to foster innovation in the contemporary landscape of scientific research, education, and technological progress. The COVID-19 pandemic underscored the importance of international collaboration as researchers and academicians faced limitations in accessing labs and conducting research experiments. This study uses a research collaboration system to examine the relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance. Further, this study underscores the moderating role of top management support. Using a time-lagged study design, data were collected from 363 participants in academic and research institutions. The results show a positive relationship between organizational intellectual capital (Human and structural Capital) and team scientific and technological performance using a research collaboration system. Moreover, top management support positively moderates the study’s hypothesized relationships. The study’s findings contribute significantly to existing knowledge in this field, with implications for academia, researchers, and government focused on technology transmission, talent management, research creative collaboration, supporting innovation, scientific research, technological progress, and preparing for future challenges.

Abstract We construct an extreme climate concern indicator (ECC) on the basis of the coverage of the extreme climate news reports. First, ECC significantly negatively forecasts stock market returns in subsequent months. The predictability of ECC returns outperforms alternative confidence indicators and economic predictors over both in-sample and out-of-sample periods. Second, relative to before the Paris Agreement entered into force, extreme climate concerns prominently enhanced the forecasting capabilities after the signing of the Paris Agreement. Third, the return prediction accuracy of ECC in periods of low climate concern is significantly greater than that in periods of high climate concern, which is also consistent with the limited attention of investors. Finally, ECC substantially brings appreciable economic gains to investors, and the relevant empirical results pass a series of robustness tests.

Abstract Gaming adjacent platforms have created an expanding ecosystem of online gaming, esport, and social media actors sharing online space, content, communication tools, and users. Esport, in particular, has grown beyond all expectations and is now a global leader in sport fandom and spectatorship. At the same time, the online infiltration and influence of far-right extremism have resulted in increased challenges of online radicalization. Gaming and esport form a foundational part of youth digital culture today, and this has provided a fertile ground for far-right extremist groups to communicate and connect with users globally. This paper uses framing theory and qualitative document analysis to examine how media articles frame the relationship between far-right extremism and esport. The findings enhance our understanding of how narratives of far-right extremist influence in esport and gaming are framed in the media and how this coverage shapes contemporary societal discussion. This is important because as far-right extremism continues to be propagated and performed in esport and gaming spaces, how this is framed to public audiences can have a critical influence on esport and gamer identities, victimization or criminalization of online spaces, and future activities or approaches to counter radicalization within the online environment.

Abstract Over the last two decades, the phenomenon of “slum tourism” and its academic exploration have seen considerable growth. This study presents a systematic literature review of 122 peer-reviewed journal articles, employing a combined approach of bibliometric and content analysis. Our review highlights prominent authors and journals in this domain, revealing that the most cited journals usually focus on tourism studies or geography/urban studies. This reflects a confluence of travel motivations and urban complexities within slum tourism. Through keyword co-occurrence analysis, we identified three primary research areas: the touristic transformation of urban informal settlements, the depiction and valorization of urban poverty, and the socio-economic impacts of slum tourism. This study not only maps the current landscape of research in this area but also identifies existing gaps. It suggests that the economic, social, and cultural effects of slum tourism are areas that require more in-depth investigation in future research endeavors.

Abstract This study aims to understand the images that undergraduates have of the job of auditor and the emotions accompanying those pictures. Auditing is a public interest profession focused on ensuring integrity and credibility of companies’ performance and position. First, we relied on personal visualizations expressed by the participants to analyze their images about the auditor’s job, and their changes. After that, we analyzed the emotions accompanying auditor job images, including positive emotions such as enjoyment and hope, and negative emotions such as anger, anxiety, and boredom. We also examined the evolution of the outcome by analyzing the emotions at two timepoints to capture changes in emotions accompanying the image of the auditor’s job after a session focused on the profession. The results reveal that most participants relied on traditional images, although the classical view decreased after the activity. The emotional perception of the job of auditor was mostly positive. The evidence also suggests less unpleasant emotions associated with a contemporary vision compared with a traditional view. Notably, unpleasant emotions decreased after auditing activity in both visions, and pleasant emotions increased. Study participants’ characteristics also delve into different profiles, considering emotions accompanying auditor job images. The current study combines a dynamic study of emotions and research on perceptions of the auditor’s job through personal images, which is an innovation and advancement in the auditing field owing to the importance of the affective side in critical thinking, behavior, and decision making. The findings of this study also emphasize the need that universities rethink the approach and information provided to students about the auditor’s job promoting collaboration between professional and academic worlds to improve not only perceptions about the profession but also the affective side.

Abstract Venture capital (VC) significantly contributes to the development of regional economies and fosters innovation. Analyzing the factors that influence VC investments holds key importance. This study employs two methods to ascertain the relative significance of different factors at the city level: the Lindeman, Merenda, and Gold (LMG) approach in multiple linear regression (MLR) and variable importance in random forest (RF) machine learning. The findings reveal that several factors, including economy, finance, innovation, location, and policy, significantly influence VC investments. Both the MLR and RF models highlight the preeminence of economic and financial variables, followed closely by the city’s potential for innovation. Moreover, spatial heterogeneity exists in the importance of these variables. In the economically developed and densely populated eastern regions of China, the financial environment of cities emerges as the most crucial, whereas in the central and western regions, the economy and innovation, respectively, take precedence. This research contributes to a deeper understanding of the distribution of VC investments and offers valuable insights for the development of regional policies.

Abstract This study aims to enhance the understanding of how servant leadership (SL) influences organizational citizenship behavior (OCB) in the specific context of Chinese private enterprises. Applying social exchange theory, social identity theory, and psychological contract theory, this study examines not only the mediating roles of relational identification and perceived organizational support (POS) but also how workplace loneliness negatively moderates the sequential mediating effect of SL on OCB. The analyzed survey included 335 employees from private enterprises in Zhejiang Province, China. Partial least squares structural equation modeling results show that relational identification and POS sequentially mediate the relationship between SL and OCB. Moreover, workplace loneliness significantly moderated these relationships. By presenting a framework that captures sequence mediation and includes a moderator, this study not only contributes methodologically to its field of study but also extends the literature by providing critical theoretical and practical insights for leadership and organizational behavior studies.

Abstract Spatial heterogeneity is a fundamental aspect of Public Private Partnerships (PPPs). The appropriateness of PPPs applications varies across regions. While the assessment of suitability for PPPs is crucial, it has received limited scholarly attention. This study, using China as s representative case, developed a suitability assessment model and evaluated it across 287 prefecture-level cities in China. The results reveal considerable spatial variation in the suitability of PPPs within the country. Utilizing the natural breakpoint method, this study categorized Chinese cities into four distinct levels of PPP suitability: high, medium, low, and unsuitable. 219 cities were identified as either unsuitable or having low suitability for PPPs, suggesting that PPPs may not be broadly applicable in the current Chinese context. This study not only lays the groundwork for sustainable PPP application in China but also significantly contributes to shaping strategies for successful PPP implementation globally.

Abstract Public discussion enhances people’s political efficacy, which is also true on social media. While past studies have focused on the effects of the size and frequency of interactions on this relationship, Heise suggested that social network quality may be more important. Therefore, the present study conducted an online survey that measured certain variables, including number of persons interacting, interaction frequency, public discussion involvement, social network evaluation, and internal political efficacy, for 624 social media (WeChat) users. It aimed to determine how these variables affect the generation of internal efficacy. The results revealed that number of persons interacting increases people’s public issue involvement and thus their internal political efficacy; moreover, they indicated that this relationship is mediated by the frequency of interaction and social network evaluation, with the latter having a stronger effect. A more critical factor in whether public discussions on social media enhance people’s internal political efficacy may be who they interact with and with whom they discuss things. This study’s findings demonstrate how affective control is embedded in the relational model of the influence of public discussions in social media on internal political efficacy.

Abstract With a national research-oriented atmosphere in tertiary institutions, many Chinese EFL teachers rise to the challenge by working collaboratively in professional communities, leading to increasing attention to collective agency. However, how their collective agency manifests remains underrepresented. Using a qualitative inductive method, this study investigated the manifestations of the collective agency among six university EFL teachers in a research institute of a Chinese university from a social cognitive perspective. It was found that the teachers’ collective agency manifested as their ability to form a collective mode of practice that aligned their professional goals and paths, to foster a dual-natured social network that supported professional development and to maintain a shared belief in group efficacy that enhanced collaboration and collective identity. The findings point to the importance of understanding collective agency as an emergent and contextualized phenomenon filled with complexities and nuances. Theoretically, the study enriches the understanding of the dynamism and complexities of teachers’ collective agency in a Chinese context and broadens the research perspectives of teacher collaboration. It also has practical implications for teachers and administrators who are seeking ways to cope with pressure in an era of research excellence.