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While both perceived job autonomy and self-leadership are assumed to be important for optimal functioning of healthcare workers, their mutual relationship remains unclear. This cross-lagged study aims to theorize and test that perceived job autonomy and self-leadership have a reciprocal relationship, which is moderated by need for job autonomy.

Two-wave panel data were used to measure cross-lagged relationships over a time period of three months. Self-leadership is indicated by both self-leadership strategies and self-leadership behavior. The data were analyzed using hierarchical multiple regression (HMR).

Job autonomy was not causally nor reverse related to self-leadership strategies, but did relate to self-leadership behavior in both directions. Need for job autonomy did not influence the causal and reverse relationships between job autonomy and self-leadership (strategies and behavior). Instead, need for job autonomy discarded the influence of job autonomy on self-leadership behavior, and predicted self-leadership behavior over time.

For optimizing healthcare jobs, human resource management (HRM) policy makers need to consider other interventions such as training self-leadership, or developing an autonomy supportive work environment, since job autonomy does not lead to more use of self-leadership strategies.

This study used a cross-lagged study design which gives the opportunity to investigate causal relationships between job autonomy and self-leadership. Both self-leadership strategies and self-leadership behavior are included.

The aging of the population is changing the composition of the workforce in most developed countries. With increasingly older and age-diverse workforces, organizations need to redesign jobs to keep their workers healthy, happy and productive across the lifespan. In the current research, the authors integrate socioemotional selectivity theory and selection, optimization and compensation theory with job design to investigate how certain job characteristics influence the work engagement of older and younger workers.

In a two-wave survey with age-diverse employees from multiple organizations (N = 372), the authors explore how autonomy and feedback contribute to the engagement of older and younger workers, depending on levels of task variety.

In the case of older workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is low but non-significant when task variety is high. Conversely, in the case of younger workers the relationships between autonomy and engagement, and feedback and engagement are positive when task variety is high but non-significant when task variety is low.

The research contributes to the growing body of knowledge on aging and work, particularly the lifespan perspective on job design. Nonetheless, the correlational design warrants caution about drawing causal inferences.

The findings inform managers on how to combine autonomy, feedback and task variety to design jobs that can engage the multi-age workforce.

The research is among the first to investigate the combined effects of different job characteristics on age-diverse employees' engagement at work.

Existing literature on algorithmic management practices – defined as autonomous data-driven decision making in people's management by adoption of self-learning algorithms and artificial intelligence – suggests complex relationships with employees' well-being in the workplace. While the use of algorithms can have positive impacts on people-related decisions, they may also adversely influence job autonomy, perceived justice and – as a result – workplace well-being. Literature review revealed a significant gap in empirical research on the nature and direction of these relationships. Therefore the purpose of this paper is to analyse how algorithmic management practices directly influence workplace well-being, as well as investigating its relationships with job autonomy and total rewards practices.

Conceptual model of relationships between algorithmic management practices, job autonomy, total rewards and workplace well-being has been formulated on the basis of literature review. Proposed model has been empirically verified through confirmatory analysis by means of structural equation modelling (SEM CFA) on a sample of 21,869 European organisations, using data collected by Eurofound and Cedefop in 2019, with the focus of investigating the direct and indirect influence of algorithmic management practices on workplace well-being.

This research confirmed a moderate, direct impact of application of algorithmic management practices on workplace well-being. More importantly the authors found out that this approach has an indirect influence, through negative impact on job autonomy and total rewards practices. The authors observed significant variation in the level of influence depending on the size of the organisation, with the decreasing impacts of algorithmic management on well-being and job autonomy for larger entities.

While the influence of algorithmic management on various workplace practices and effects is now widely discussed, the empirical evidence – especially for traditional work contexts, not only gig economy – is highly limited. The study fills this gap and suggests that algorithmic management – understood as an automated decision-making vehicle – might not always lead to better, well-being focused, people management in organisations. Academic studies and practical applications need to account for possible negative consequences of algorithmic management for the workplace well-being, by better reflecting complex nature of relationships between these variables.

Self-determination theory (SDT), offers a theoretical framework for enhancing employee motivation and stimulating positive outcomes such as commitment, well-being and engagement, in organizations. This paper aims to investigate the application of SDT among leaders and delineate practical managerial approaches for supporting basic psychological needs in the workplace.

Participants were 51 leaders who had personally applied SDT with their own followers. Data were collected via free-listing method and analysed to extrapolate examples of SDT-application that are both practically salient and aligned to theoretic tenets of SDT.

The findings reveal how SDT is operationalized by leaders to support basic psychological needs for autonomy, competence and relatedness in the workplace. The SDT-informed management strategies are discussed in relation to the literature and alongside case scenarios to illustrate approaches for integrating elements of SDT into day-to-day management activities.

Despite extensive literature support for SDT, very little empirical attention has been paid to examining how the theory is applied, interpreted and/or used by practitioners in real world settings. This research is the first to draw on the lived-experience of practitioners who have applied SDT, contributes previously unexplored strategies for supporting workers’ basic psychological needs and responds to calls for SDT research to identify a broader range of managerial behaviours that support employee motivation.

Online labour markets (OLMs) have recently become a widespread phenomenon of digital work. While the implications of OLMs on worker well-being are hotly debated, little empirical research examines the impact of such work on individuals. The highly competitive and fast-paced nature of OLMs compels workers to multitask and to perform intense technology-enabled work, which can potentially enhance technostress. This paper examines the antecedents and well-being consequences of technostress arising from work in OLMs.

The authors draw from person–environment fit theory and job characteristics theory and test a research model of the antecedents and consequences of worker technostress in OLMs. Data were gathered from 366 workers in a popular OLM through a large-scale online survey. Structural equation modelling was used to evaluate the research model.

The findings extend existing research by validating the relationships between specific OLM characteristics and strain. Contrary to previous literature, the results indicate a link between technology complexity and work overload in OLMs. Furthermore, in OLMs, feedback is positively associated with work overload and job insecurity, while strain directly influences workers' negative affective well-being and discontinuous intention.

This study contributes to technostress literature by developing and testing a research model relevant to a new form of work conducted through OLMs. The authors expand the current research on technostress by integrating job characteristics as new antecedents to technostress and demonstrating its impact on different types of subjective well-being and discontinuous intention. In addition, while examining the impact of technostressors on outcomes, the authors consider their impact at the individual level (disaggregated approach) to capture the subtlety involved in understanding technostressors' unique relationships with outcomes.

The current study is aimed at analyzing whether and how organizational constraints (i.e. lack of autonomy) and individual characteristics (i.e. psychological capital) are related to work alienation in subordinates and supervisors, and whether the often hypothesized relationship between autonomy and work alienation is moderated in a three-way interaction (autonomy × psychological capital × hierarchical level). The hypotheses are developed by drawing on the tenets of the job demands-resources model.

The study is based on two-wave survey data from 294 Dutch employees (subordinates and supervisors).

The paper finds that autonomy is more negatively related to work alienation for subordinates with low psychological capital than for subordinates with high psychological capital. Autonomy is negatively related to work alienation for leaders, independent of their level of psychological capital.

Antecedents of work alienation have received substantial attention from researchers. The authors aim to better understand these antecedents by highlighting differences between supervisors and subordinates.

Although we know that HRM practices can have a huge impact on employees’ innovative work behaviour (IWB), we do not know exactly which practices make the difference and how they affect IWB. Thus, the purpose of this paper is to determine the best HRM practices for boosting IWB, to understand the theoretical reasons for this, and to discover mediators and moderators in the relationship between HRM practices and IWB.

Based on a systematic review of the literature, the authors carried out a content analysis on 27 peer-reviewed journal articles.

Working with the definitions and items provided in the articles, the authors were able to cluster HRM practices according to the ability-motivation-opportunity framework. The best HRM practices for enhancing IWB are training and development, reward, job security, autonomy, task composition, job demand, and feedback.

The results of this study provide practical information for HRM professionals aiming to develop an HRM system that generates innovative employee behaviours that might help build an innovative climate.

A framework is presented that aggregates the findings and clarifies which HRM practices influence IWB and how these relationships can be explained.

The purpose of this paper is to examine how organisational activities that formally provide employees with work autonomy explain the performance of open innovation (OI).

The study reports the results of mediation analyses conducted on the basis of survey data from 307 firms.

The economic benefits of both inbound and outbound OI are fully captured only if firms provide employees with time, freedom and independence. The results show that employee autonomy fully mediates the relationship between openness and innovation sales, while the adoption of inbound OI is positively associated with the introduction of new products.

The opening of innovation induces managers to provide employees with discretion, as OI requires high levels of flexibility and experimentation.

The paper addresses theoretically and empirically the role of job design in the implementation of OI, while also distinguishing between the effects of inbound and outbound practices on innovation performance.

This study aims to analyze the influence of job autonomy and unscripted agility on ambidextrous innovation in startups in times of the Covid-19 pandemic.

A survey was conducted with founders and managers of Brazilian startups in the e-commerce segment, resulting in a sample of 84 startups. Symmetric (structural equation modeling) and asymmetric (fuzzy-set qualitative comparative analysis) analyses were performed. The variables' external financing and institutional ties were controlled.

The symmetric findings indicate that unscripted agility is a full mediator between job autonomy and ambidextrous innovation. The asymmetric findings offer two solutions for startups to achieve high ambidextrous innovation.

The implications of the research for the literature are discussing elements associated with ambidextrous innovation, exploring the context of innovation in startups in times of crisis, specifically in the Covid-19 pandemic, and considering the role of resilience in startups.

The study provides informational inputs to founders and managers of startups on how job autonomy and unscripted agility can propel incremental and radical innovations.

This study provides new insights and success factors into startups, based on the discussion of entrepreneurship in times of crisis, as in the case of the Covid-19 pandemic.

The COVID-19 pandemic has rapidly accelerated a shift to remote working for previously office-based employees in South Africa, impacting employee outcomes such as well-being. The remote work trend is expected to continue even post the pandemic, necessitating for organizational understanding of the factors impacting employee well-being. Using the Job Demands–Resources model as the theoretical framework, this study aims to understand the role of job demands and resources as predictors of employee well-being in the pandemic context.

A self-administered online survey questionnaire was used to gather quantitative data about remote workers’ (n = 204) perceptions of specifically identified demands, resources and employee well-being. Descriptive statistics, Pearson’s correlation and moderated hierarchical regression were used to analyse the data.

This study found that job demands in the form of work–home conflict were associated with reduced employee well-being. Resources, namely, job autonomy, effective communication and social support were associated with increased employee well-being. Job autonomy was positively correlated to remote work frequency, and gender had a significant positive association to work–home conflict. Social support was found to moderate the relationship between work–home conflict and employee well-being. Findings suggest that organizations looking to enhance the well-being of their remote workforce should implement policies and practices that reduce the demands and increase the resources of their employees. The significant association of gender to work–home conflict suggests that greater interventions are required particularly for women. This study advances knowledge on the role of demands and resources as predictors of employee well-being of remote workforces during COVID-19 and beyond.

This paper provides insight on employee well-being during COVID-19 remote work. Further, the findings suggest that organizations looking to enhance the well-being of their remote workforce should implement policies and practices that reduce the demands and increase the resources of their employees. The significant association of gender to work–home conflict suggests that greater interventions are required particularly for women. To the best of the authors’ knowledge, this is the first study carried out to explore the employee well-being during COVID-19 pandemic and will be beneficial to stakeholders for understanding the factors impacting employee well-being.