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PurposeDrawing on signaling theory, the purpose of this study is to explore how high-performance work systems (HPWS) interact with leader–member exchange (LMX) to predict employees' proactive behavior and job engagement. Moreover, the present study also proposes the mediating role of job engagement in the interactive effects of HPWS and LMX quality on proactive behavior.Design/methodology/approachThe data of this study include 228 customer-contact employees and 44 store managers from chain store enterprises in the service sector in Taiwan. The proposed models were tested with hierarchical linear modeling and Monte Carlo simulation.FindingsThe results show a significant interactive effect of HPWS and LMX on job engagement and proactive behavior. In addition, job engagement serves as a vital mechanism linking the interactive effect of HPWS and LMX quality on proactive behavior.Originality/valueThis study uses signaling theory to unpack the question when and how HPWS can be more influential on employees' proactive behavior. In particular, the positive effect of HPWS on proactive behavior is more prominent only when employees enjoy high LMX quality with their respective line managers. In addition, the interactive effects of HPWS and LMX quality on proactive behavior are mediated by job engagement. The findings provide valuable theoretical and managerial contribution by integrating HRM and leadership research.

The controversial findings of both high and low performance for family-controlled public firms offer a unique context in which to study the moderating role of high-performance work systems (HPWS) on founding-family ownership effects. In a sample of Taiwan-based public firms, founding-family ownership was found not to be associated with firm performance. However, when the level of HPWS facing family ownership was accounted for, the results showed that the relationship between founding-family ownership and firm performance is significantly negative for companies with lower levels of HPWS but is significantly positive for companies with higher levels of HPWS.

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We add to the small number of studies that have used the Meyer, Allen, and Smith (1993) three component model to better understand occupational commitment. A series of demographic (age, education), dispositional (emotional intelligence), and organizational variables (human resources practices and perceived organizational support) were examined for their relationship to occupational commitment. Our relatively small set of variables, from 431 debt-collection employees and their supervisors at 34 banks in Taiwan, accounted for substantial variance in each of the commitment facets. In the context of the entire set of variables, perceived organizational support was the strongest predictor across all three forms of occupational commitment. Other variables (e.g., age, emotional intelligence) were of predictive value for a subset of the components only.