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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.

The purpose of this paper is to test competing models of the relationship between job insecurity and two forms of impression management (self- and supervisor-focused) on job performance. Specifically, does job insecurity lead to greater subsequent impression management; or, does preventative use of impression management subsequently lead to reductions in job insecurity? Additionally, how do these both relate to in-role performance?

Using two-wave survey data collected from 184 working adults in the USA and the two-step approach recommended by Cole and Maxwell (2003) and Taris and Kompier (2006), the authors tested cross-lagged relationship between job insecurity and both forms of impression management by comparing four different models: a stability model, a normal causation model (with cross-lagged paths from T1 job insecurity to T2 impression management), a reversed causation model (with cross-lagged paths from T1 impression management to T2 job insecurity) and a reciprocal causation model (with all cross-lagged paths described in the normal and reversed causation model).

Results were supportive of the reversed causation model which indicated that greater use of supervisor-focused impression management at Time 1 predicted lower levels of job insecurity at Time 2 (after controlling for prior levels of job insecurity); moreover, job insecurity at Time 1 was then significantly associated with more positive in-role behaviors at Time 2. Moreover, the test of the indirect effect between T1 impression management and T2 performance was significant.

These results suggest that impression management clearly plays an important role in understanding the relationship between job insecurity and job performance. However, employees appear to utilize impression management as a means of pre-emptively enhancing their job security, rather than as a tool to reactively cope with perceived job insecurity.

Mentor secure-base support, characterized as mentor availability, noninterference and encouragement of growth, has important implications for newcomer socialization. Drawing on attachment theory, this paper aims to examine the relationship between mentor secure-base support and newcomers' workplace courage.

Data were collected at three time points with a new police officer sample (n = 124). A cross-lagged panel design was used to test the hypotheses.

Mentor secure-base support is causally precedent to newcomers' workplace courage, whereas the reverse relationship from workplace courage to mentor secure-base support was not held.

To help newcomers integrate into their organization and enhance their workplace courage, organizations should actively promote and foster mentoring relationships in which mentors can provide a secure base for mentees.

The authors' findings support that newcomers' workplace courage can be cultivated by mentor secure-base support. It provides insight for organizations to explore workplace courage development for newcomers.

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 study aims to develop measures for innovation effectiveness impacting organizational performance outcomes. Substantial evidence suggests that measuring innovation effectiveness (IE) continues to be challenging because of the use of different measures across innovation’s broad spectrum. The purpose of this study is to overcome it by examining multiple drivers of IE in emerging market economies (EMEs) and predicting their impact on financial and nonfinancial performance outcomes.

Through a two-wave panel design, firms from India, Oman and the United Arab Emirates participated in the study with a time lapse of 12 months (T1n = 417, T2n = 403). Four cross-lagged competing models are tested for autoregressive, causal, reversed and reciprocal effects using structural equation modeling (SEM).

The findings show that the synergistic effect of multiple innovation characteristics, such as innovation degree, cost, frequency and speed determines its endogenous effectiveness. The exogenous effectiveness of innovation is further established through its impact on financial and nonfinancial performance outcomes. Furthermore, readiness for innovation (RFI) is a critical factor that moderates the relationship between drivers and IE.

The study’s findings could inform practitioners in emerging market economies about the appropriate measures of IE. It will guide managerial decisions on making an investment, evaluation, accountability and strategic choices related to innovation.

It is one of the first studies that use a time-based lens to examine IE in EMEs. It posits that given the innovation’s complexity, IE needs to be measured at multiple levels. The study explains how evolutionary dynamics in different sociocultural contexts can bring a new perspective into theory of diffusion of innovation. The moderating role of RFI brings new insights into the IE process and emphasizes its importance in objective-driven and performance-focused innovation efforts.

Based on the Job Demands-Resources (JD-R) theory, this study aims to identify person-contingent antecedents and consequences of proactive strength-oriented behaviors at work. Thus, the authors propose and test a model in which psychological capital (PsyCap), as a personal resource, represents a precursor of strengths use, which in turn is a facilitator of employees' self-rated performance.

The authors tested the hypothesized mediation process through a cross-lagged study with three waves, using data collected from a sample of Romanian employees. The authors analyzed the data through structural equation modeling.

The results provided support for our model. The data showed significant, positive cross-lagged relationships between PsyCap, strengths use and performance across waves. Also, the authors identified a significant and positive indirect effect between PsyCap at T1 and performance at T3 through increased strengths use at T2.

This research brings new evidence for strengths use's placement as a proactive individual strategy within the JD-R theory. Practical implications are related to career self-management and work from home.

Considerable evidence suggests that although they overlap, entrepreneurial and employee stressors have different causal antecedents and outcomes. However, limited empirical data explain how entrepreneurial traits, work and life drive entrepreneurial stressors and create entrepreneurial strain (commonly called entrepreneurial stress). Drawing on the challenge-hindrance framework (CHF), this paper hypothesises the causal effect of hindrance stressors on entrepreneurial strain. Furthermore, the study posits that entrepreneurial stressors and the resultant strain affect entrepreneurial behaviour.

The study adopts an SEM-based machine-learning approach. Cross-lagged path models using SEM are used to analyse the data and train the machine-learning algorithm for cross-validation and generalisation. The sample consists of 415 entrepreneurs from three countries: India, Oman and United Arab Emirates. The entrepreneurs completed two self-report surveys over 12 months.

The results show that hindrances to personal and professional goal achievement, demand-capability gap and contradictions between aspiration and reality, primarily due to unique resource constraints, characterise entrepreneurial stressors leading to entrepreneurial strain. The study further asserts that entrepreneurial strain is a significant predictor of entrepreneurial behaviour, significantly affecting innovativeness behaviour. Finally, the finding suggests that psychological capital moderates the adverse impact of stressors on entrepreneurial strain over time.

This study contributes to the CHF by demonstrating the value of hindrance stressors in studying entrepreneurial strain and providing new insights into entrepreneurial coping. It argues that entrepreneurs cope effectively against hindrance stressors by utilising psychological capital. Furthermore, the study provides more evidence about the causal, reversed and reciprocal relationships between stressors and entrepreneurial strain through a cross-lagged analysis. This study is one of the first to evaluate the impact of entrepreneurial strain on entrepreneurial behaviour. Using a machine-learning approach is a new possibility for using machine learning for SEM and entrepreneurial strain.

In this chapter, the authors consider the role of time for research in occupational stress and well-being. First, temporal issues in studying occupational health longitudinally, focusing in particular on the role of time lags and their implications for observed results (e.g., effect detectability), analyses (e.g., handling unequal durations between measurement occasions), and interpretation (e.g., result generalizability, theoretical revision) were discussed. Then, time-based assumptions when modeling lagged effects in occupational health research, providing a focused review of how research has handled (or ignored) these assumptions in the past, and the relative benefits and drawbacks of these approaches were discussed. Finally, recommendations for readers, an accessible tutorial (including example data and code), and discussion of a new structural equation modeling technique, continuous time structural equation modeling, that can “handle” time in longitudinal studies of occupational health were provided.

The purpose of this paper is to examine the effects of protean career orientation (PCO) and psychological capital (PsyCap) on well-being among knowledge workers.

The author adopted a two-wave cross-lagged design. In total, 518 knowledge workers at three enterprises in China were sampled to complete the Direnzo et al.’s (2015) Protean Career Orientation Questionnaire, Luthans et al.’s (2007) Psychological Capacity Questionnaire, and Ryff and Keyes’ (1995) Psychological Well-Being Scale. The main statistical methods involved descriptive statistics, structural equation modeling, and bootstrapping analysis.

The findings of the study were as follows: PCO positively predicted PsyCap among knowledge workers; both PCO and PsyCap positively contributed to knowledge workers’ well-being; and knowledge workers’ PsyCap partially mediated the relationship between their PCO and well-being.

Rare empirical studies were conducted on the relationship between PCO and psychological well-being. The previous findings are inconsistent on whether PCO is an antecedent of PsyCap, or PsyCap is an antecedent of PCO. The author conducted a cross-lagged survey to examine the above relationships; to certain extent, the present study addresses the research gap and contributes to the burgeoning literature.

The purpose of this paper is to examine the relationships between authentic leadership and team climate across 22 months. More specifically, three alternative causation models (normal, reversed, reciprocal) were tested.

The longitudinal study was conducted among 265 Finnish municipal employees (87.5 per cent women, mean age 48.4 years). The participants completed a questionnaire three times: at baseline (T1), about 14 months after baseline (T2) and about eight months after the second questionnaire (T3).

The cross-lagged analyses based on structural equation modelling lent support to the reversed causation model more than the normal causation and reciprocal models. More specifically, team climate at T2 predicted authentic leadership across eight months at T3. Thus the study suggests that positive team climate (i.e. vision, participation safety, task orientation, and support for innovation) may foster authentic leadership in the long term and not vice versa.

The findings suggest that − besides improving team climate and authentic leadership themselves – team climate should be improved in order to enable authentic leadership to develop and flourish. It is important to emphasize that in forming the team climate employees are active agents and not passive targets.

The study is among the first to test different causal models regarding authentic leadership and team climate. From the theoretical viewpoint, the findings suggest that follower-centric theories of leadership merit greater attention in the future.