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The role of job-related affective well-being in the relationship between person–organization fit and job performance among on-site, hybrid and remote employees

Purpose. This study aimed to achieve two objectives: First, we verified whether person–organization fit indirectly affected job performance through positive and negative job-related affective well-being to explore potential affective mechanisms underlying these relationships. Second, we examined possible variations in these associations among employees in on-site, hybrid and remote work modalities.Design/methodology/approach. The cross-sectional survey, involving 804 participants across the three work arrangements, utilized moderated mediation analysis to examine the impact of person–organization fit on job performance, with the mediating role of job-related affective well-being and the moderating effects of work modes.Findings. The results revealed a positive relationship between fit and performance via positive and negative job-related affective well-being, consistent across all work modalities.Research limitations/implications. The findings implicate the importance of person–organization fit in enhancing well-being and its consequences in performance behavior and goal attainment. The consistency of this relationship across various forms of work, including remote and hybrid arrangements, suggests their similarity.Originality/value. This paper substantially contributes to the field and literature in several key aspects. First, we suggest and verify an underlying affective mechanism for the PO fit-job performance relationship. Second, we discuss this mechanism in the context of the broaden-and-build theory of positive emotions, providing theoretical insights into the empirical findings. Last, we incorporate three work modalities to create a more complex model and investigate if the post-pandemic changes observed in the work environment differentiate the fit-performance association discovered in prior research.

OSF

Investigating the effect of intelligent assistance systems on motivational work characteristics in assembly - Journal of Intelligent Manufacturing

Intelligent assistance systems (IAS) are designed to counteract rising cognitive demands caused by increasingly individualized manufacturing processes in assembly. How IAS affect work characteristics which are crucial for promoting work motivation of employees is yet unclear. Based on the cyber-physical systems transformation framework, the model of routine-biased technological change, and a comprehensive model of work design, we expected in- and decreases in motivational work characteristics (MWC) when working with IAS. Furthermore, we posited a buffering effect of the option of voluntary use on decreasing knowledge characteristics. Applying an online case study with experimental vignette methodology (EVM) allowed us to identify effects of the IAS on MWC before it is widely implemented. 203 German and British blue-collar workers evaluated an assembly workplace according to three experimental conditions (work without IAS, work with IAS, work with voluntary use of IAS). We identified enhanced feedback from the job and information processing in work with IAS in contrast to a traditional assembly workplace but found no restrictions (or elevations) in terms of other task (i.e., autonomy) or knowledge characteristics (i.e., job complexity, problem solving, specialization, skill variety). Thus, our results indicate that the IAS improves some motivational work characteristics of the assembly workplace, although it misses the primary goal of cognitive relief. Our study highlights the need for work design theories that specify the effect of IAS on motivational work characteristics and the potential benefit of IAS in assembly of the future.