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In this case study, we offer an analysis of feedback from a student experience survey completed by Black undergraduate students who received proactive, targeted coaching and mentoring support during 2021–2022. All the students were studying at a large higher education institution in the United Kingdom which offers a broad range of degree courses by distance learning.

This paper reports on the intervention delivered and analyses the student experience of being offered, and receiving, proactive coaching and mentoring. It is based on the responses of 102 students who engaged with the experience survey after having self-selected to receive the intervention. What follows is an analysis of their experiences using a qualitative in vivo approach based on word frequency in students’ free-text comments.

The findings presented are that, in this intervention, students who self-select to receive coaching and mentoring support experience tangible (self-reported) behaviour changes with potentially longer term benefits for their studies. These include improved self-confidence and self-efficacy, increased proactive help-seeking behaviour, greater recognition of strengths and achievement and personal growth and self-awareness.

In presenting this case study, we aim to contribute to the growing corpus of practitioner case studies and research papers that show the benefits of coaching and mentoring in higher education and – more specifically – why coaching and mentoring can be a worthwhile targeted intervention for students from underrepresented backgrounds. This lends support to the growing consensus that students with positive, proactive help-seeking behaviours perform better than students not able to access support (Byrne et al., 2014). We conclude the case study with some practical implications for providers looking to provide targeted support to students.

Purpose: To describe how an approach to instruction that intentionally considers elements of motivation and engagement, intensity of instruction, and cognitive challenge can accelerate the reading achievement of lower-performing readers by giving them access to and support to meet reading and knowledge building with success.

Design: The authors discuss a set of high-leverage practices squarely under the teacher’s control. Grounded in longstanding and rigorous research, the integrated set of practices have been shown time and time again to accelerate achievement beyond typical growth while also intentionally considering the experiences, cultures, and linguistic knowledge students bring to the classroom. The re-conceptualized approach forefronts student agency and engages students in meaningful interactions with text to build knowledge of the world they live in.

Findings: The authors illustrate the comprehensive approach through a composite vignette drawn from work with teachers and students in school and clinical contexts. The focus of the vignette is on the actions of the classroom teacher who is working to meet the needs of three struggling readers within the broader context of her 5th-grade classroom, while also establishing a coherent instructional approach with fellow teachers.

Practical Implications: By re-conceptualizing their approaches to working with struggling readers, teachers increase the likelihood that students will not only develop component skills related to reading but also integrate these components and develop the conceptual expertise that anchors future reading and learning.

The purpose of this paper is to explore the dynamics between management approach, human resource systems and practices, and responses of seasonal workers.

After reviewing literature on contingent workers focusing on seasonal workers in particular, this paper presents a case study of how seasonal work is managed in a specific organisational context.

There is a noticeable gap between the organisation's initial approach to human resource management (during recruitment and induction) and the way employees are actually managed during the course of their employment. While seasonal employees may have low levels of organisational commitment as a consequence, nevertheless their commitment to colleagues, supervisors, and in some cases, clients has side‐benefits for the organisation.

The research is based on a single case study and has illustrative value. The characteristics of seasonal work described in the case reflect a specific industry and organisational context.

The findings suggest that employers of seasonal workers should consider the influence of human resource management systems and practices on the expectations and experience employees have of work.

The paper makes an empirical contribution as seasonal work has received little attention to date. Moreover, as seasonal work potentially combines short‐term finite employment with longer‐term relational aspects, we are able to highlight the relevance of cyclical time to an understanding of how employees perceive and experience work.

The purpose of this paper is to investigate the impact of transformational leadership on employee turnover intention through the mediating role of affective commitment.

The study examines conceptual relationships in the Ghanaian context, based on structural equation modelling with maximum likelihood estimation, using sample employees from the private sector organizations. In addition, the mediation analysis is conducted with Sobel’s test and 95 per cent CI bootstrap analysis.

The study shows that affective commitment would decline workers’ quitting intention and serves to promote a degree of trust and willingness to follow their leaders’ philosophy, ideology, vision and guidance in the organization. Hence, affective commitment fully mediates the relationship between transformational leadership and employee turnover intention.

To help lessen employees quitting intentions, both middle and top-level managers should endeavour to create an atmosphere of trust, admiration, loyalty and respect for their employees.

Overall it is shown that affective commitment was the mechanism through which transformational leadership influences employees’ turnover intentions in the SLCs in Ghana.

The purpose of this study is to explore the incorporation of the sustainable development goals (SDGs) at the National University of Moreno (Universidad Nacional de Moreno, UNM, in Spanish), focusing on teaching and research activities, encountering difficulties from primary and secondary information sources, to integrate the SDGs, and contribute with actions for their incorporation into teaching and learning processes and research, in a newly established university.

To describe the implementation of the SDGs, an empirical study was conducted using a mixed methodology for data collection. Data collected from the survey were combined with information from the UNM project database for the period 2017–2022. Non-parametric methods were used to analyse both sets of data.

This study provides an initial overview of SDG implementation at UNM, allowing the identification of constraints and challenges to scale up contributions to the SDGs at UNM, as well as the generation of relevant action lines in the interaction with university's authorities.

Conducting studies through questionnaires has limitations, similar to other cases analysed. To increase the validity of the data, prior consultations were carried out. In addition, the database of research projects was used to identify the application of the SDGs in research. However, an approximation of the current situation could be obtained.

Particular importance was given to the challenges encountered during the data analysis phase in relation to capacity building needs. This enabled a set of actions to be defined to bring the SDGs closer to the UNM.

Although the paper used methodologies already proposed by other authors, such as survey collection, its value lies in demonstrating the possibility of using them to analyse whether the SDGs are integrated into teaching and research activities in a recently founded university, where the SDGs are integrated into its principles. The analysis also complements the survey results with information from project databases, which has not yet been analysed in the literature. Based on the results, activities are designed so that the SDGs could begin to guide teaching and research activities.

The present research focuses on improving the awareness related to soft total quality management (TQM) practices by looking from the viewpoint of strategic human resources (HR). In addition, it is intended to reflect on the resulting soft TQM-HR outcomes and determine the mediating effect between soft TQM-HR strategies and organizational effectiveness (OE).

An exploratory research methodology with an online survey technique was adopted for the study. Three hundred and three managerial-level personnel from nine large Indian manufacturing organizations participated in the research. A theoretical model is projected and verified using correlation and mediation analysis.

The results show that commitment, reduced turnover intentions and satisfaction levels of employees mediate the relationship between resources, development and retention strategies and OE. However, the retention strategy has the strongest association with the OE of the three strategies. Also, of the three HR outcomes, satisfaction was strongly associated with OE. The analysis proved that the proposed model is an acceptable fit.

Implementing HR-related TQM strategies will likely impact OE since it elicits positive HR outcomes such as commitment, reduced turnover intention and satisfaction. Recognizing human resources as a unique strategic asset will help HR managers devise adequate resourcing, development and retention strategies instrumental in executing TQM.

The present micro study is unique in scrutinizing the influence of soft TQM-HR practices on organizational effectiveness by analysing the mediating effects of commitment, reduced turnover intention and satisfaction in Indian large-scale manufacturing organizations. The study is unique since no literature deciphers the linkages between HR strategies and organizational effectiveness in the Indian manufacturing sector.

The domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.

The present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.

By examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

The paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

Based on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.