Occupational stress can cause health problems, productivity loss or absenteeism. Resilience interventions that help employees positively adapt to adversity can help prevent the negative consequences of occupational stress. Due to advances in sensor technology and smartphone applications, relatively unobtrusive self-monitoring of resilience-related outcomes is possible. With models that can recognize intra-individual changes in these outcomes and relate them to causal factors within the employee's context, an automated resilience intervention that gives personalized, just-in-time feedback can be developed. This paper presents the conceptual framework and methods behind the WearMe project, which aims to develop such models. A cyclical conceptual framework based on existing theories of stress and resilience is presented as the basis for the WearMe project. The operationalization of the concepts and the daily measurement cycle are described, including the use of wearable sensor technology (e.g., sleep tracking and heart rate variability measurements) and Ecological Momentary Assessment (mobile app). Analyses target the development of within-subject (n=1) and between-subjects models and include repeated measures correlation, multilevel modelling, time series analysis and Bayesian network statistics. Future work will focus on further developing these models and eventually explore the effectiveness of the envisioned personalized resilience system.
Based on the social exchange theory and on ageing and life-span theories, this paper aims to examine: (1) the relationships between perceived availability and use of HRM practices, and employee outcomes (i.e. work engagement and employability); and (2) how employee age moderates these relationships. Using a sample of Nmaximum = 1589 employees, correlational analyses and multiple hierarchical regression analyses were conducted. First, confirming our hypotheses, results showed predominantly positive relationships between work engagement and both perceived availability and use of development HRM practices, such as HRM practices related to learning, development, and incorporating new tasks. The study outcomes opposed, however, our hypotheses with predominantly negative relationships between work engagement and perceived availability and use of maintenance HRM practices. Predominantly positive relationships were furthermore found, as was hypothesized, between employability and perceived availability and use of development as well as maintenance HRM practices. Generally speaking, these results were not more pronounced for any of the age groups. That is, age appeared to not play any significant moderating role. Research limitations, implications for practice and directions for future work are also discussed.
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This two-wave complete panel study aims to examine human resource management (HRM) bundles of practices in relation to social support [i.e., leader–member exchange (LMX; Graen & Uhl-Bien, 1995), coworker exchange (CWX; Sherony & Green, 2002)] and employee outcomes (i.e., work engagement, employability, and health), within a context of workers aged 65+, the so-called bridge workers (Wang, Adams, Beehr, & Shultz, 2009). Based upon the social exchange theory (Blau, 1964; Gouldner, 1960), and the Job Demands-Resources (JD-R; Demerouti, Bakker, Nachreiner, & Schaufeli, 2001) framework, it was hypothesized that HRM bundles at Time 1 would increase bridge workers’ outcomes at Time 2, and that this relationship would be mediated by perceptions of LMX and CWX at Time 2. Hypotheses were tested among a unique sample of Dutch bridge employees (N = 228). Results of several structural equation modeling analyses revealed no significant associations between HRM bundles, and social support, moreover, no significant associations were found in relation to employee outcomes. However, the results of the best-fitting final model revealed the importance of the impact of social support on employee (65+) outcomes over time.
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