Net versus combinatory effects of firm and industry antecedents of sales growth

This study examines antecedents of sales growth using a two-step mixed-method approach including analyses of net effects and combinatory effects. Based on a sample of 453 respondents from manufacturing and service firms, this article shows how the combination of structural equation modeling (SEM) and fuzzy set Qualitative Comparative Analysis (fsQCA) provides more detailed insights into the causal patterns of factors to explain sales growth. This article contributes to the extant literature by highlighting fsQCA as a useful method to analyze complex causality (specifically combinatory effects of antecedent conditions) and by discussing options regarding how this approach can be used to complement findings from conventional causal data analysis procedures that analyze net effects

R&D managers’ adaptation of firms’ HRM practices

The heads of R&D departments are those most responsible for the adaptation of firms’ human resource management (HRM) practices to the idiosyncrasies of their departments. From their description, this paper analyzes the HRM practices in R&D departments and the adaptation achieved in four different firms. The data suggest that the main adaptations are produced primarily in recruiting and organizing the work of R&D personnel. In contrast to suggestions in the specialized literature, less adaptation is found in other HRM practices analyzed (managerial support and degree of delegation, compensation and career plans). Psychological theories of procedural justice and social comparison can improve our understanding of such results. The organizational structure affects the reference group for such comparisons and, consequently, the R&D managers’ capacity to adapt such practices. Based on these arguments, the delegation of HRM practices to R&D departments will enhance the degree of adaptation of such policiesPublicad