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The purpose of this paper is to analyze whether and how employees’ proactive personality is related to work engagement. Drawing on job demands-resources theory, the study proposes that this relationship is moderated by a three-way interaction between proactive personality × transformational leadership × growth mindset.

The study is based on survey data from 259 employees of an internationally operating high-tech organization in the Netherlands.

In line with prior studies, support is found for positive significant relationships of proactive personality and transformational leadership with engagement. Additionally, transformational leadership is found to moderate the relationship between proactive personality and work engagement, but only when employees have a growth mindset.

The study advances the literature that investigates the proactive personality-engagement relationship. Specifically, this study is the first to examine a possible three-way interaction that may deepen the insights for how proactive personality, transformational leadership and growth mindset interact in their contribution to work engagement.

This study aims to examine the connection between scholars' research performance and the multidisciplinary nature of their collaborative research. Furthermore, in response to mixed results regarding the effects of multidisciplinarity on research performance, this study explores how human resource management (HRM) practices may moderate this link.

The authors built a model based on the theoretical arguments and empirical evidence found in the review of diversity and HRM literature. The authors also performed a quantitative study based on a sample of scholars in the field of management. Different econometric estimations were used to test the proposed model.

The results of this empirical analysis suggest that multidisciplinary research has a non-linear effect on research performance. Certain HRM practices, such as development and collaboration, moderated the curvilinear relationship between multidisciplinarity and performance, displacing the optimum to allow higher performance at higher levels of multidisciplinary research.

The paper provides advances on previous works studying the curvilinear relationship between multidisciplinarity and the researchers' performance, confirming that multidisciplinarity is beneficial up to a threshold beyond which these benefits are attenuated. In addition, the findings shed light on important issues related to team-oriented HRM practices associated with the outcomes of multidisciplinary research.

Adequate recovery from burnout is important to understand. The purpose of this paper is to investigate whether post-traumatic growth (PTG) contributes to higher engagement and reduced symptoms of burnout and whether this process is mediated by personal resources.

In a cross-sectional survey, 166 Dutch workers who had fully recovered from burnout were questioned on their level of PTG, their personal resources (optimism, resilience and self-efficacy), and their levels of engagement and burnout.

Fully recovered workers scored somewhat higher on current burnout level, but did not differ from norm group workers in their engagement level. Moreover, PTG appeared to positively affect both higher engagement and lower burnout levels, which is fully mediated by personal resources.

Post-traumatic growth (PTG) impacts on engagement and burnout levels amongst workers who have recovered from burnout by enhancing personal resources. The role of personal resources and the impact of PTG on engagement and burnout complaints following (recovery from) burnout deserve further investigation.

Management can support workers who have (recovered from a) burnout, by being aware of their (higher) engagement, and facilitate the enhancement of PTG and personal resources.

This study is one of the first to study the role of PTG after (recovery from) burnout and reveals valuable findings for both research and practice.

This study aims to explore the influence of perceived hope, intrinsic spirituality and supervisor support on job involvement at the time of work from home during the COVID-19 pandemic.

The sample included 263 employees working from home (WFH) for the first time in their careers due to COVID-19. The authors applied structural equation model and multigroup analysis (MGA) in SmartPLS3 to examine the hypothesized relationships, and artificial neural network (ANN) analysis to determine the relative influence of the antecedents.

Results indicate that both personal (such as perceived hope and intrinsic spirituality) and job (supervisor support) resources determine job involvement during remote working, with a moderating impact of age on the relationship between intrinsic spirituality and job involvement. The ANN analysis shows that perceived hope is the most influential determinant of job involvement when employees work from home.

This study suggests that when employees work remotely, organizations can generate higher job involvement by conveying a higher perception of hope and spirituality and providing supervisor support through planned hope interventions, promoting prosocial behavior and making changes in leadership style (check on instead of check-in).

This study extends the job demands-resources (JD-R) model with new insights into the impact of personal and job resources on job involvement during the new normal remote working era.

The paper aims to considering quality that comes from quality employees taking discretionary efforts, having right perception towards quality, getting satisfied from their contribution. Exploring the relationship of engagement, perception and satisfaction, and mapping the levels and identifying managerial implications for improving the levels.

William Kahn’s employee engagement dimensions, Parasuraman and Zeithaml’s quality dimensions and Harter et al.’s satisfaction dimensions applied and variables framed in health-care context, tested and applied. Survey data collected from randomly selected medical and non-medical employees from south Indian state Tamil Nadu health-care organizations, using structured questionnaire.

Age, experience and roles of the respondents in work have a significant association with the levels. It explores a significant positive relationship of perception, engagement and satisfaction. The study explores an average 28% of employees have high level of engagement, perception (18%) and satisfaction (22%), and the rest fall under moderate and low levels. The roles of the respondents significantly predict the levels.

The study focuses on engagement, perception and satisfaction of employees, not of patients. It registered the responses of trained physicians, nurses and administrative staff. It illustrates human resource strategic importance to improve the levels concerning quality measures.

Sustainable employability is an important goal for individuals and organizations alike. However, scarce knowledge is available on possible cross-lagged relations of resilience among police officers and different aspects of their sustainable employability over time. Based on assumptions of COR theory, the purpose of this paper is to test these relations in a two-wave design.

A total of 532 police officers participated in a time-lagged survey design (time interval of six months) concerning their resilience and relevant aspects, i.e., self-reported vitality, workability and organization-reported individual absenteeism rates. Data were analyzed with structural equation modeling.

Results indicate cross-lagged effects between resilience and vitality with an acceptable model fit. Thus, the level of resilience at T1 affected the level of vitality at T2 and vice versa. In addition, a nearly significant negative effect of vitality on T1 was found on absenteeism on T2.

More measurements over time are needed to test reciprocal relations and possible gain spirals. Different samples are needed to assess generalizability. Cross-lagged effects may indicate a reciprocal relation between resilience and vitality that can be further facilitated.

For example, resilience can be addressed explicitly in training.

This study is the first to test the cross-lagged relations between resilience and indicators of sustainable employability among police officers. It is important to further study this for the sake of both police officers, as well as society as a whole.

In this chapter, I explore two media texts, Imtiaz Ali's Highway and Alankrita Shrivastava's Netflix original series Bombay Begums (2021). I contend that recent filmmakers have begun to arguably reframe the narratives of rape victim-survivors and disrupting the cultural of silence described above. They offer progressive and multi-faceted representations of these experiences, such that there is an opportunity for a dialogue within both private and public spheres. What I mean when I say that they are ‘progressive representations’ is that the rape victim-survivors are not merely reduced to helpless women in distress, nor painted as vengeful, aggressive characters. Instead, their characterisation shows that they have agency and autonomy, but at the same time struggle with the repercussions of speaking out against their perpetrators in a society that does not support them wholly.

Skilled workers are crucial for an organization’s success, and managing, retaining and attracting them is vital in long-term. This study aims to explore talent management practices in the Finnish restaurant industry and to align workers' expectations with the real-world experiences of their work to reduce turnover and enhance job satisfaction.

The study adopts a mixed methods approach, including a survey and interviews with workers and managers to gain insights into their expectations and experiences of work. The study considers themes for designing and implementing effective talent management procedures.

This study highlights the importance of employees' experiences of their work conditions, leveraging positive emotions and fair utilization of temporary agency work (TAW). Understanding the different work preferences of generational cohorts and addressing the challenges associated with owner disengagement and TAW can also contribute to attracting and retaining talent in the restaurant industry.

Skilled workers have often been portrayed as targets that need to be managed, with insufficient consideration given to their preferences, needs and expectations. With the findings of this study, companies can establish mutual understanding with their employees and attract diverse talent.

Having a shared vision is crucial for innovation. The purpose of this paper is to investigate the effect of individual propensity to collaborate and innovate on the development of a shared vision.

The authors build a network in which each node represents the vision of one individual and link the network structure to individual propensity of collaboration and innovativeness. During organizational workshops in four multinational organizations, the authors collected individual visions in the form of images as well as text describing the approach to innovation from 85 employees.

The study maps individual visions for innovation as a cognitive network. The authors find that individual propensity to innovate or collaborate is related to different network centrality. Innovators, individuals who see innovation as an opportunity to change and grow, are located at the center of the cognitive network. Collaborators, who see innovation as an opportunity to collaborate, have a higher closeness centrality inside a cluster.

This paper analyses visions as a network linking recent research in psychology with the managerial longing for a more thorough investigation of group cognition. The study contributes to literature on shared vision creation, suggesting the role which innovators and collaborators can occupy in the process.

This paper proposes how an approach based on a cognitive network can inform innovation management. The findings suggest that visions of innovators summarize the visions of a group, helping the development of an overall shared vision. Collaborators on the other hand are representative of specific clusters and can help developing radical visions.

The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.

The general research approach is inherent to design science research, in which the problem of UDC assignment of the old, digitised texts is addressed by developing a machine-learning classification model. A corpus of 70,000 scholarly texts, fully bibliographically processed by librarians, was used to train and test the model, which was used for classification of old texts on a corpus of 200,000 items. Human experts evaluated the performance of the model.

Results suggest that machine-learning models can correctly assign the UDC at some level for almost any scholarly text. Furthermore, the model can be recommended for the UDC assignment of older texts. Ten librarians corroborated this on 150 randomly selected texts.

The main limitations of this study were unavailability of labelled older texts and the limited availability of librarians.

The classification model can provide a recommendation to the librarians during their classification work; furthermore, it can be implemented as an add-on to full-text search in the library databases.

The proposed methodology supports librarians by recommending UDC classifiers, thus saving time in their daily work. By automatically classifying older texts, digital libraries can provide a better user experience by enabling structured searches. These contribute to making knowledge more widely available and useable.

These findings contribute to the field of automated classification of bibliographical information with the usage of full texts, especially in cases in which the texts are old, unstructured and in which archaic language and vocabulary are used.