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This study aims to apply attribution theory to examine how internal stakeholders’ attributions affect the perceived company’s corporate social responsibility (CSR) initiatives on employees’ pro-environmental behavioral intention through a mediated perceived CSR authenticity.

A questionnaire-based survey was used because of the standardized questions and ease of acquisition of the target data with the assistance of a Web-based tool.

The perceived company’s other-centered CSR motives are positively associated with the perceived authenticity of the CSR engagement. The small company had a significantly stronger relationship than the large company. The perceived company’s self-centered CSR motives are not associated with the perceived authenticity of the CSR engagement. The perceived authenticity of CSR engagement is positively related to its own pro-environmental behavioral intention.

A larger sample size across different industries can improve the result. When the authors examine the effect of company size, multi-group sizes can be used instead of two groups. The above scenario usually works in normal businesses. How about the “dirty” business situation? Examples of dirty businesses are tobacco, gambling, alcohol and mining companies. During their business operations, they destroy our environment or create harmful effects on our health. Thus, dirty businesses engaging in CSR practices at the same time seems contradicting.

The management should ensure that employees perceive the company’s CSR initiatives as other-centered rather than self-centered. Company size matters in terms of delivering other-centered CSR messages. Specifically, employees who work in a small company (i.e. less than 100 employees) are more favorable to other-centered CSR messages.

This study extends the CSR literature by examining how internal stakeholders’ attributions (i.e. employees’ attribution) of the perceived company’s CSR initiatives influence employees’ pro-environmental behavior through a mediated perceived CSR authenticity.

The UK Mental Health Act (MHA) Reform (2021) on race and ethnicity promotes new governmental strategies to tackle inequalities faced by ethnically racialised communities detained under the MHA. However, there is a scarcity in personality disorder and ethnicity research. This study aims to investigate what is available in the UK in relation to prevalence, aetiology and treatment provisions of personality disorder for ethnically diverse patients, and to understand their interconnectedness with mental health and criminal justice service provisions. Three key areas of investigations were reviewed, (1) UK prevalence of personality disorder amongst ethnically diverse individuals; (2) aetiology of personality disorder and ethnicity; (3) treatment provisions for ethnically diverse individuals diagnosed with personality disorder.

A scoping study review involved a comprehensive scanning of literature published between 2003 and 2022. Screening and data extraction tools were co-produced by an ethnically diverse research team, including people with lived experience of mental health and occupational expertise. Collaborative work was complete throughout the review, ensuring the research remained valid and reliable.

Ten papers were included. Results demonstrated an evident gap in the literature. Of these, nine papers discussed their prevalence, three papers informed on treatment provisions and only one made reference to aetiology. This review further supports the notion that personality disorder is under-represented within ethnic minority populations, particularly of African, Caribbean and British heritage, however, the reasons for this are multi-facetted and complex, hence, requiring further investigation. The evidence collected relating to treatment provisions of personality disorder was limited and of low quality to reach a clear conclusion on effective treatments for ethnically diverse patients.

The shortage of findings on prevalence, aetiology and treatment provisions, emphasises the need to prioritise further research in this area. Results provide valuable insights into this limited body of knowledge from a UK perspective.

Teacher education for social justice aims to enable teachers to work toward equity and justice in society and humanizing the educational experience of their students. Conceptualizing teaching as a political and ethical endeavor, social justice teacher education must engage seriously with the local and lived experiences of both teacher educators and student teachers. How then does teacher education for social justice move across communities and identities, and through cultural, social, geographic and temporal spaces? This chapter presents an autobiographical narrative inquiry into social justice teacher education across sociocultural and sociopolitical contexts, across time, and within different educational communities. Bakhtin's dialogic theory (1981) helps to trace the narrative threads wherein “each word tastes of the context and contexts in which it has lived its socially charged life” (p. 293). The study examines my ideological becoming (Bakhtin, 1981) as a critical teacher educator in the context of a youth mentoring service-learning course for undergraduate teacher candidates. I examine the complexities and tensions in exploring experiences and co-constructing understandings of oppression, privilege and social justice with my student teachers on the youth mentoring course in dialogic struggles with my experiences of justice and education in the USA and Hong Kong as an English-speaking Chinese American. Providing an in-depth examination of the convergence of identity, social relations, place, and time in my knowledge formation, I critically reflect upon the notion of social justice to suggest that social justice teacher education is multi-voiced and lived both locally and globally.

This study examines chronic illness, disability and social inequality within an exposure-vulnerabilities theoretical framework.

Using the National Survey of Drug Use and Health (NSDUH), a preeminent source of national behavioral health estimates of chronic medical illness, stress and disability, for selected sample years 2005–2014, we construct and analyze two foundational hypotheses underlying the exposure-vulnerabilities model: (1) greater exposure to stressors (i.e., chronic medical illness) among racial/ethnic minority populations yields higher levels of serious psychological distress, which in turn increases the likelihood of medical disability; (2) greater vulnerability among minority populations to stressors such as chronic medical illness exacerbates the impact of these conditions on mental health as well as the impact of mental health on medical disability.

Results of our analyses provided mixed support for the vulnerability (moderator) hypothesis, but not for the exposure (mediation) hypothesis. In the exposure models, while Blacks were more likely than Whites to have a long-term disability, the pathway to disability through chronic illness and serious psychological distress did not emerge. Rather, Whites were more likely than Blacks and Latinx to have a chronic illness and to have experienced severe psychological distress (both of which themselves were related to disability). In the vulnerability models, both Blacks and Latinx with chronic medical illness were more likely than Whites to experience serious psychological distress, although Whites with serious psychological distress were more likely than these groups to have a long-term disability.

Several possibilities for understanding the failure to uncover an exposure dynamic in the model turn on the potential intersectional effects of age and gender, as well as several other covariates that seem to confound the linkages in the model (e.g., issues of stigma, social support, education).

This study (1) extends the racial/ethnic disparities in exposure-vulnerability framework by including factors measuring chronic medical illness and disability which: (2) explicitly test exposure and vulnerability hypotheses in minority populations; (3) develop and test the causal linkages in the hypothesized processes, based on innovations in general structural equation models, and lastly; (4) use national population estimates of these conditions which are rarely, if ever, investigated in this kind of causal framework.

This chapter draws on biographical interviews to analyze identity-based interpretations of inequalities by disabled people in France, as these understandings are formed and transformed over the course of their lives. We combined the material from two different studies to create a corpus of 65 life stories from working-age people with contrasting impairments in terms of type, degree, and onset, as well as various profiles in terms of gender, race, and class. When talking about the inequalities they face, respondents commonly made use of identity labels (gender, class, race, disability), among those available in their micro and macro environments. They usually presented these categories as separate and cumulative, and only a few upper-class disabled women developed reflections in line with an intersectional model. This fragmentation of identity categories translated into the framing of each inequality encountered through a single lens. Respondents mentioned race, class, or gender mainly when evoking topics and contexts that the public debate highlights as problematic, while their references to disability covered a variety of disadvantages. Although the interview situation might have fueled this framing, we also showed that certain earlier socialization processes led people to believe that their disability was the source of the inequalities they encountered. Lastly, we identified three turning points that encourage shifts in the interpretation of inequalities; these are the availability of a new label to qualify one's experience, a competing identity-based interpretation for a mechanism, and access to a different, intersectional model of inequality.

Drawing upon a contractarian lens of corporate social responsibility (CSR), this study aims to explore community construals of happiness and evaluates conceptual boundaries of CSR for happiness.

Using a mixed-methods design, natural language processing and thematic analysis techniques were used to analyse large volumes of textual survey data collected from over 1,000 research participants through an online survey.

Results indicated that lay construals of happiness were primarily defined in terms of socioeconomic conditions and psychoemotional experiences. In explicating the boundary conditions, community perceptions regarding the extent of businesses’ social responsibilities for happiness were evidenced in five themes: that businesses have a responsibility not to harm happiness, a responsibility to enable conditions for happiness to occur, a responsibility to exercise awareness of happiness implications in decision-making, a responsibility for happiness that is limited by strategic purpose and resource capability and a responsibility for happiness that is limited by stakeholder proximity.

This study contributes to the theoretical and empirical foundation of CSR for happiness while simultaneously developing and applying a novel approach for processing and analysing large volumes of qualitative survey-based data.

This study sought to understand which food allergen labeling systems (non-directive, semi-directive, and directive) were attended to and preferred by 34 participants with food hypersensitivity and their perceived corporate social responsibility (CSR) and behavioral intention towards a restaurant that identifies food allergens on menus.

This study used an online survey with open-ended and ranking questions, combined with eye-tracking technology, to explore participants' visual attention and design preferences regarding four menus. This study utilized one-way repeated measures analysis of variance (RM-ANOVA) and heat maps to analyze participants' menu-reading behaviors. A content analysis of survey responses and a ranking analysis of menus were conducted to understand the reasons behind consumers' preferred menu designs.

The advisory statement was not much attended to. Participants identified food allergen information significantly quicker with the directive labeling system (icons) than the other two systems, implying they were eye-catching. Semi-directive labeling system (red text) has lower visit count and was more preferred than two other systems; each labeling system has its strengths and limitations. Participants viewed restaurants that disclosed food allergen information on menus as socially responsible, and they would revisit those restaurants in the future.

This study was one of the first to explore, through use of eye-tracking technology, which food allergen labeling systems were attended to by consumers with food hypersensitivity. The use of triangulation methods strengthened the credibility of the results. The study provided empirical data to restauranteurs in the US on the values of food allergen identification on restaurant menus, although it is voluntary.

This study aims to uncover and develop explicit knowledge of existing smart communities (SCs) to guide services and business solutions for enterprises and serve community users in a well-thought-out manner. These sagacious frameworks will assist in analyzing trends and reaching out to pre-existing setups with different degrees of expertise.

A systematic overview is provided in this paper to unify insights and competencies toward building SCs; a hybrid analytical approach is used consisting of machine learning and bibliometric analysis. Scopus and Web of Science (WoS) are the primary databases for this purpose.

SCs implement cutting-edge technologies to enhance mobility, elevating information and communication technology (ICT) skills and data awareness while improving business processes and efficiency. This system of SC is an evolution of the conventional method. It provides a foundation for intelligent community services based on individual users and technologies such as the Internet of Things (IoT), artificial intelligence, cloud computing and big data. Manufacturing-based, service-based, retail-based, resource management and infrastructure-based SCs exist in the literature.

The paper summarizes a conceptual framework of SCs based on existing works around SCs. To the best of the authors’ knowledge, this is the first systematic literature review that uses a hybrid approach of topic modeling and bibliometric analysis to understand SCs better.