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Co-authored by three South African academics working in higher education development, this chapter uses the transition from professional practice to academic contexts as an entry point into a discussion of transitions broadly. We reflect on the role of mentoring in supporting the multiple transitions which dual professionals navigate and what this means for the provision of inclusive, quality education (SDG 4) with a focus on higher education. In reflecting on this Sustainable Development Goal, we approach the topic of mentoring from a critical perspective which allows us to attend to the themes of power, access and equity that it invokes. The body of scholarship on the transition experiences of practitioners into academia has challenged the assumption that professional expertise translates into teaching expertise in the classroom. The opening vignette contextualizes this challenge. The vignette protagonist offers to support an academic colleague and approaches a mentoring expert to explore her guiding principles for mentoring within and beyond the classroom. The dialogue surfaces the need for mentoring that considers the various transitions that dual professionals navigate. We engage critically with international literature on the role and positionality of dual professionals in academia and reflect on selected concepts from this literature to highlight the importance of an adaptive mentoring approach for meeting academics in transition at their point of need. We offer a synthesis of literature on holistic approaches to mentoring, critically reflecting on how they enable inclusive quality education for the benefit of society.

A learning-focused culture promotes creativity, innovativeness and the acquisition of novel insights and competencies. The study aims to explore the relationship between human resource development (HRD) practice and employee competencies using organizational learning culture as a mediating variable.

Data were collected from 828 employees of 37 health care institutions comprising 24 (internationally-owned) and 13 (indigenously-owned). Construct reliability and validity was established through a confirmatory factor analysis. The proposed model and hypotheses were evaluated using structural equation modeling.

Data supported the hypothesized relationships. The results show that training and development and employee competencies were significantly related. Career development and employee competencies were significantly related. Organizational learning culture mediates the relationship between training and development and employee competencies. However, organizational learning culture did not mediate the relationship between career development and employee competencies.

The generalizability of the findings will be constrained due to the research’s health care focus and cross-sectional data.

The study’s findings will serve as valuable pointers to policy makers and stakeholders of health care institutions in developing system-level capacities that promote continuous learning and adaptive learning cultures to ensure sustainability and competitive advantage.

By evidencing empirically that organizational learning culture mediates the relationship between HRD practices and employee competencies the study extends the literature.

The purpose of this study is to explore the mechanism of digitalized transformation in organizations’ human resource management (HRM). This study summarizes three basic factors driving the digital transformation process in China: level of perception, level of application and speed of transformation.

This study analyzes the strategic transformation process of HRM in Haier, Hisense and Chambroad to explore the human resource digital transformation mechanism in Chinese enterprises.

The results of this study show that three HR value chain models can be constructed based on how well HRM deals with business: the efficiency-oriented HRM value chain, quasi-business-oriented HRM value chain and business-oriented HRM value chain. The basic factors – level of perception, level of application and speed of transformation – are observed in the entire HRM digital transformation process.

This study provides theoretical and empirical insights for enterprises to explore the value of digital technology in HRM and facilitate the digital transformation of HRM.

This study investigates the psychological adoption of technology in relation to employees' mental beliefs about using technology in their workplace, because it is necessary to investigate the direct and indirect effects of information systems (IS) on employees' work-related results that underpin creativity and engagement.

Using a cross-sectional design, data were collected from 153 human resource (HR) employees who used human resource information systems (HRIS) in small- and medium-sized enterprises (SMEs) in Malaysia.

The results show that effective acceptance and adoption of an HRIS enables HR employees and management in SMEs to be creative, balanced and engaged. Facilitating conditions and task-technology fit positively affect the behavioral intention to accept and adopt an HRIS. Additionally, organizational citizenship behavior moderates the relationship between the behavioral intention to accept and adopt an HRIS and employee creativity.

This study significantly advances the fields of human resource management and IS by elucidating the factors influencing employees' adoption of technology. In an effort to address a research gap in existing research, it introduces a unified theory of acceptance and use of technology, which precedes the psychological adoption process by individuals. Furthermore, it offers both empirical and theoretical insights into the interplay between technology adoption factors and their subsequent impact on work-related outcomes.

In current era, retaining the best-performing employees has become essential for businesses to compete in the dynamic technological landscape. Consequently, organizations must ensure that their star performers believe that company’s reward and recognition (R&R) system is fair and equal. This study aims to use an explainable machine learning (eXML) model to develop a prediction algorithm for employee satisfaction with the fairness of R&R systems.

The current study uses state-of-the-art machine learning models such as Naive Bayes, Decision Tree C5.0, Random Forest and support vector machine-RBF to predict employee satisfaction towards fairness in R&R. The primary data used in the study has been collected from the employees of a large public sector undertaking from an emerging economy. This study also proposes a novel improved Naïve Bayes (INB) algorithm, the efficiency of which is compared with the state-of-the-art algorithms.

It is seen that the proposed INB model outperforms the state-of-the-art algorithms in many scenarios. Further, the proposed model and feature interaction are explained using the explainable machine learning (XML) concept. In addition, this study incorporates text mining techniques to corroborate the results from XML and suggests that “Transparency”, “Recognition”, “Unbiasedness”, “Appreciation” and “Timeliness in reward” are the most important features that impact employee satisfaction.

To the best of the authors’ knowledge, this is one of the first studies to use INB algorithm and mixed method research (text mining along with machine learning algorithms) for the prediction of employee satisfaction with respect to the R&R system.

Age-inclusive management practices are crucial for addressing the needs of the older workforce, but there is limited research on these practices. One underexplored area is how workplaces can support older employees dealing with the loss of a loved one. The psychological process of loss differs for older employees and can have adverse effects on their ability to perform in the workplace. The purpose of this paper is to explore how workplaces can provide the necessary tools to support their older grieving employees.

This conceptual paper draws on the job-demand resource model and signaling theory to investigate how flexible work arrangements can support older employees after a bereavement and contribute to optimal employee performance.

Flexible work arrangements are theorized to lead to optimal performance via informational support. An ethical climate and stronger cultural competencies are proposed to strengthen this relationship. A theoretical framework is presented for a comprehensive research approach.

This paper advances the current understanding of age-inclusive management and offers a novel perspective on the benefits of flexible working arrangements.

Flexibility in the workplace is increasingly considered an important aspect of human resource strategy aimed at attracting and retaining a high-quality workforce. The purpose of this study is to explore the direct relationships between both employee- and employer-centered flexible work arrangements and turnover intentions, specifically focusing on Generation Z employees. In addition, this study also examines the mediating role of supervisor support and total rewards in these relationships.

This study used a quantitative research design using a cross-sectional survey method to gather data from employees born from 1995 across three industries – logistics, retail sales, and manufacturing. Partial least-squares structural equation modeling was used to analyze the data. The survey was conducted online, ensuring a diverse geographical spread and adherence to the representativeness of Generation Z within these sectors.

Contrary to existing literature, the findings reveal no direct correlation between flexible working arrangements (FWAs) and turnover intentions in this demographic. Instead, the results highlight the significant mediating roles of perceived supervisor support and total rewards. Specifically, these factors were found to influence turnover intentions in relation to the availability of employee-centered FWAs. The findings provide theoretical and practical implications, suggesting an adaptation of human resource strategies to better align with the preferences and expectations of Generation Z in the workplace.

In contrast to existing literature, this study examines the relationship between the availability of two different types of flexible work arrangements (employee- and employer-centered) and turnover intentions, specifically among Generation Z employees. In addition, this research introduces mediation analysis to investigate the roles of perceived supervisor support and total rewards – constructs that have been rarely considered in the context of these relationships.

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

Relying on the effort-recovery model, this study aimed to test how and when a good night’s sleep increases in daily physical health. The authors hypothesized that when individuals have a good night’s sleep, it helps them to recover their self-regulatory resources, and, in turn, these cognitive resources improve their physical health experienced at work. Furthermore, the authors argue that this will be different depending on the individuals’ levels of neuroticism; that is, the indirect relationship between sleep duration and physical health through self-regulatory resources will be stronger for individuals who score lower on neuroticism, and in contrast, the relationship will be buffered for those who score higher on neuroticism.

To test the hypothesized model, the authors conducted a three-wave longitudinal study with working adults (N = 262). The authors used multilevel modelling to test if neuroticism moderated the indirect relationship between sleep duration and physical health through self-regulatory resources, at both between and within-person levels.

The multilevel results showed that a good night’s sleep recovered self-regulatory resources needed to promote physical health; however, this indirect relationship was buffered for those who scored higher on neuroticism (versus lower levels of neuroticism).

Hence, the role of neuroticism as a potentially harming condition for employees’ physical health is pointed out.

The findings highlight the relevance of sleep as a recovery activity for both cognitive and physical resources experienced during the working day. However, this appears to be attenuated for employees with higher levels of neuroticism.

This paper aims to show the role of employees’ self-regulation in defining the effect of job demands on employees’ burnout. Moreover, the paper also highlights the importance of a high-performance work system (HPWS) on the relation between job demands and employee self-regulation.

Data has been collected from public sector hospital nurses through a survey strategy following a time-lagged approach. This data has been analysed to validate the measure and to test the hypotheses through structural equation modelling.

Results of this study indicate that job demands affect employees’ burnout through adaptive regulation (recovery) and maladaptive regulation (self-undermining). Adaptive regulation minimizes while maladaptive regulation supports this effect. Moreover, results also highlight the role of HPWS in mitigating the negative impact of job demands on adaptive regulation.

This study serves as a guide for managers to minimize the burnout of their subordinates in the face of increasing job demands. This study also emphasizes the use of HPWS in organizations so that the burnout of the employees may be decreased by increasing adaptive self-regulation or recovery.

This study enriches the literature on the job demand resource theory by showing how employee job demands, employee self-regulation (psychological processes) and HPWS (organizational processes) collaborate to determine the extent of job burnout of employees.