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This study addresses a gap in evidence on small employer experiences of managing mental health problems in the workplace. The authors gathered first-hand experiences of small business managers to empirically investigate how the small business context affects the management and support of mental health problems in the workplace, and the practice implications that arise.

Qualitative interviews, combining semi-structured and narrative approaches, with 21 small business managers with experience of managing employees with mental health difficulties. The 21 managers recounted a total of 45 employee cases, which were analysed thematically, using a case-based matrix. Study participants were drawn from small businesses within England and Scotland (UK). Interviews were conducted between November 2019 and February 2020.

Support aligned with current understanding of effective practice, yet was often informal, instinctive and flexible. Accommodating employees with mental health problems impacted the workload of managers and co-workers, and business operation and growth. Challenges and tensions reflected the difficult balancing act faced by managers in organisations of all sizes. However, the intensity and immediacy of cross-pressures was enhanced for small businesses, due to their smaller workforce and lack of dedicated Human Resource Management and occupational health expertise.

Guidance should address the navigation of day-to-day management and support for employees with mental health difficulties, including approaches to balancing the needs of the wider workforce and business operation. Access to HR and occupational health expertise is valuable. Financial subsidies may be of lesser concern to small businesses.

This study offers originality in focusing exclusively on small business managers with first-hand experience of supporting employees with mental health problems. Findings challenge the perception that small firms have unique experiences, whilst highlighting contextual features that exacerbate intensity and immediacy of impacts.

This study investigates the factors influencing re-usage intention of online and mobile grocery shopping among young adult consumers in South Africa.

Data were collected from selected young adult participants using a stratified probability sampling strategy. Smart PLS was used to analyse the data.

The findings of the study indicate that perceived usefulness (PU), peer review (PR) and attitude (ATT) positively influence continuance intention (CI).

In line with the available literature, there are few prior post-adoption studies that delineate the influence of individual characteristics on digital commerce usage activities. There is high mobile penetration as a result of positive digital commerce and mobile application usage and adoption, creating the need to investigate and better understand the drivers behind, not just adoption and usage, but continued use of digital commerce platforms and applications. Since the sample size is relatively small, further future research studies can test the same model with bigger sample sizes to assess generalisability of the results in different locations.

This study adds to the current literature by concentrating on the extent to which systems and marketing elements influence young adult customers' intention to continue using online and mobile grocery shopping platforms in South Africa.

The study adds value from a theoretical standpoint, contributing to the antecedent factors of the technology acceptance model (TAM), theory of reasoned action (TRA) and stimulus-organism-response (S-O-R) model and giving marketing academics insights into what aspects drive re-use of online and mobile grocery shopping and on what should be the focus.

Mental health inequalities based on race and ethnicity in the USA and globally persist despite efforts to address them. The COVID-19 epidemic accentuated these inequalities and demonstrated the extent to which they are linked to social determinants. However, the organizations that are best placed to ameliorate mental health inequalities are often underfunded and under-resourced. Investment strategies that restrict funding for programmatic costs rather than general operating costs often disproportionately impact small organizations that serve communities of color. This study aims to argue that effectively addressing mental health inequalities requires investing in these organizations by applying the lessons learned from implementation science.

This study demonstrates how organizational factors such as leadership, supervision and organizational culture and climate are key to programmatic success and how implementation strategies can target these factors. As promoting health equity is increasingly recognized as a priority outcome for implementation science research, these organizational approaches can inform funders on how to support small organizations that serve marginalized communities, giving them the capacity and flexibility to address mental health inequalities.

This paper applies the findings from implementation science to consider how best to support mental health organizations, particularly those well suited to serving the mental health needs of diverse communities.

In 2002, Pakistan made a notable advancement toward inclusive education by approving the national policy for people with disabilities (Durrani et al., 2017). This policy, advised by the Ministry of Women’s Development, Social Work, and Special Education, aimed to integrate students with special needs into mainstream schools, emphasizing the significance of inclusive learning environments (Ashfaq and Rana, 2015). Despite these efforts, the practical application of this policy in high schools has encountered numerous obstacles. Effective integration of students with special needs requires more than just policy implementation; it demands effective educational practices. Teachers are crucial in this process as they are the primary facilitators of learning and significantly influence these students’ academic and social adaptation. Administrative support is essential in fostering an environment conducive to including and adapting students with special needs. This study aims to investigate these dynamics in high schools, focusing on the role of teacher interactions and administrative frameworks in supporting or hindering the adaptation process for students with special needs. Understanding these relationships is crucial for identifying gaps, challenges and opportunities within the current educational system, thereby contributing to the development of more effective strategies for inclusive education in Pakistan.

This study used a correlational research strategy to investigate the effects of administrative and teacher support on the adaptation capabilities of high school students with special needs. The correlational design was chosen to explore the relationships between different types of support and students’ adaptation capabilities without manipulating any variables (Seeram, 2019). The study involved 230 participants, comprising 170 educators and 60 support staff. Stratified random sampling ensured that the sample represented various school types and experience levels (Sharma et al., 2017). This sampling method helps provide a more accurate and comprehensive understanding of the population under study. The demographic characteristics of the sample are summarized in Table 1. Participants were categorized based on sex, level of education, age and experience level to ensure a comprehensive understanding of the sample’s diversity.

This study reveals that teacher and administrative support significantly impact students’ adaptation capabilities. Teacher support emerged as a strong predictor (ß = 0.502, p < 0.001), highlighting its crucial role in enhancing students’ adaptability. Administrative support also showed a positive and significant effect (ß = 0.211, p < 0.001), and its interaction with teacher support (ß = 0.102, p < 0.001) suggests that administrative support amplifies the positive effects of teacher support. These findings underscore the importance of a holistic support system within schools. While teachers provide direct instructional support and foster an inclusive learning environment, administrative support ensures teachers have the necessary resources and institutional backing to support students effectively (Carter et al., 2022). The interaction between these forms of support suggests that administrative efforts to support teachers can significantly enhance the overall adaptation capabilities of students (Gibbs, 2023b).

Several limitations should be considered when interpreting the findings of this study. First, the data were collected using self-reported questionnaires, which may be subject to biases such as social desirability or recall bias. Second, the study’s cross-sectional design limits the ability to establish causality between the variables. Longitudinal studies would be beneficial in exploring the causal relationships between teacher and administrative support and students’ adaptation capabilities. In addition, the study was conducted within a specific context and population, which may limit the generalizability of the findings to other settings. Future research should aim to replicate this study in different educational contexts to validate and extend the findings.

The practical implications of these findings are significant. Schools should prioritize developing comprehensive support systems that include robust teacher support mechanisms and strong administrative backing. Professional development programs should focus on enhancing teachers’ skills in differentiated instruction, formative assessment and the use of technology in the classroom. Moreover, administrative policies should aim to provide continuous support for teachers through resources, training and collaborative opportunities. This dual approach ensures that teachers are well-equipped to address the diverse needs of students with special needs and that students receive consistent, high-quality support across their educational experience.

This study uniquely explores the combined effects of administrative and teacher support on the adaptation of high school students with special needs in mainstream education, highlighting the synergistic relationship between these support systems. Using a robust correlational design and stratified random sampling, it provides valuable insights into the dynamics of inclusive education within a Pakistani context. The findings emphasize the critical role of holistic support systems, offering practical implications for enhancing educational policies and practices. By addressing gaps in existing research, this study contributes significantly to the discourse on inclusive education and the development of effective support frameworks for special needs students.

The purpose of this study is to identify the main perspectives and trends in educational data mining (EDM) in the e-learning environment from a managerial perspective.

This paper proposes a systematic literature review to identify the main perspectives and trends in EDM in the e-learning environment from a managerial perspective. The study domain of this review is restricted by the educational concepts of e-learning and management. The search for bibliographic material considered articles published in journals and papers published in conferences from 1994 to 2023, totaling 30 years of research in EDM.

From this review, it was observed that managers have been concerned about the effectiveness of the platform used by students as it contains the entire learning process and all the interactions performed, which enable the generation of information. From the data collected on these platforms, there are improvements and inferences that can be made about the actions of educators and human tutors (or automatic tutoring systems), curricular optimization or changes related to course content, proposal of evaluation criteria and also increase the understanding of different learning styles.

This review was conducted from the perspective of the manager, who is responsible for the direction of an institution of higher education, to assist the administration in creating strategies for the use of data mining to improve the learning process. To the best of the authors’ knowledge, this review is original because other contributions do not focus on the manager.