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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.

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.

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.

This study explored moderating effects of employee generations on factors related to employee retention and motivation in the workplace.

The authors developed a survey instrument and collected the survey data via Amazon Mechanical Turk. After filtering out bad responses, the authors ended up with 489 sample cases for this study. The authors used structural equation modeling for data analysis.

Evidence showed that only transformational leadership was significantly related to retention of Generation X employees and only work–life balance had a significant relationship with intrinsic motivation. For Generation Y employees, transformational leadership was the only factor affecting their retention while both transformational leadership and autonomy showed significant impacts on their intrinsic motivation. Generation Z employees reported that only transformation leadership affected their retention while transformational leadership, corporate social responsibility and autonomy were significantly related to their intrinsic motivation in the workplace. All three generations showed statistical significance between intrinsic motivation and employee retention.

This study could help business practitioners increase employees' work motivation and retention.

First, our results revealed interesting similarities and differences between generations in terms of the factors that affected employees' retention and motivation. Second, this study proved that employees' generation affects the impacts of transformational leadership, CSR, autonomy, WLB and technology on their motivation and retention in the workplace. Third, the results of our study also showed that employees of different generations are intrinsically motivated by different factors, proving the importance of considering generational differences in motivation literature.

Leading with vision while granting employees autonomy is one effective organizational response to the demands of a dynamic external environment. The former is thought to align followers' behavior by providing guidance, the latter to increase variance in their behavior by relinquishing control; both exert beneficial but distinct effects on organizational performance. What has remained uncharted heretofore is how these leader behaviors shape their followers' cognition and, subsequently, yield improvements in performance. The authors argue that a leader's vision communication transforms followers' cognitive representation of their work. This not only enables them to specify their goals in alignment with the vision (goal clarity) but also to locate the meaning of their work within the bigger picture of the vision (construal level). By contrast, perceived autonomy in terms of power-sharing might directly affect followers' work engagement more narrowly.

The authors tested the model on a sample of 408 employees from eleven enterprises of a holding company. In the survey, employees reported perceived vision communication and autonomy provided by their leader. Furthermore, the authors assessed the employees' goal attainment. To capture how employees represent their daily work activities, the authors measured their construal level and their goal clarity.

The results show that both perceived vision communication and granted autonomy improve employees' goal achievement. Moreover, two processes mediate the relationship between vision communication and goal achievement in followers: first, specifying goals in terms of clarity; second, composing a higher-level mental construal of their work. In contrast, no mediation of empowering leader behaviors was found.

Better goal achievement through visionary leadership is therefore achieved through cognitive alignment of followers, while leader-granted autonomy acts as a motivational tool directly on performance.

Drawing from the Job Demands-Resources (JD-R) framework and Conservation of Resources (COR) theory, the authors’ study examines the impact of high commitment HR management (HCHRM) practices and psychological capital (PsyCap) on job autonomy and job demands in predicting burnout in frontline food service employees.

A moderated mediation model was developed and tested on 257 Australian workers employed in the food service industry. Hypotheses were tested using structural equation modeling.

There was support for the mediation effect of HCHRM on burnout, via two sequential mediators: job autonomy and job demands. PsyCap was found to buffer (moderation) the effect of job demands on burnout. Frontline employees also perceived HCHRM to be a “negative signal” that was implemented for the good of management.

The authors are aware of the potential of common method variance due to the cross-sectional research design. Future research should adopt a longitudinal research design or collect data from several sources of informants. As the authors did not find support for the optimistic perspective hypothesis, despite its theoretical and empirical relevance under JD-R and COR perspectives, they call for further research exploring the link between HRM, job design and psychological conditions in promoting employee wellbeing.

Burnout is one of the most common and critical health issues faced by frontline food service employees. Food service organizations have to strategize their management practices to reduce employees' experience with burnout by implementing high commitment enhancing HR practices and developing employees' PsyCap.

This study provided a better understanding of how (macro) HCHRM practices as an organizational resource reduce burnout of frontline food service employees via two (micro) mediators: job autonomy and job demands. PsyCap is an important personal resource that lessens burnout, consistent with the COR theory. These findings contribute to the literature on strategic HRM and its relationship to employee wellbeing.

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.

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.

How to design jobs to support innovation is an issue that has received plenty of consideration over the past years. Building on the job characteristics model, the present study is set up to identify configurations of perceived job characteristics for innovation.

By adopting a fuzzy-set configurational approach (fsQCA), the research question is addressed through a two-wave self-report survey of 199 employees of an Italian manufacturing company.

Results reveal four compatible configurations of job characteristics leading to high levels of innovative work behavior and two for low levels.

The results offer guidance for managers and organizations that aim to strengthen employee-driven innovation by offering different recipes of job design to maximize the chance of boosting innovative behaviors among their workers.

This research is one of the first to empirically test the relation of job characteristics for innovative behavior using a configurational approach. By doing so it contributes to the literature by advancing the notion that innovative endeavors are determined by the holistic effects of different interdependent configurations of job characteristics.