While intellectual property rights (IPRs) are the key drivers of economic performance in R&D based growth models, they have not been fully explored in empirical development studies. We introduce IPRs to this literature, using Two-Stage Least Squares Bayesian Model Averaging to address...

This study addresses simultaneity bias in piecewise linear forms of the earnings-return relation. We specify an overidentified system of simultaneous equations that incorporates both asymmetric earnings timeliness and asymmetric earnings persistence specifications, and implement two-stage least...

Structural equation modeling (SEM) has become a mainstream method in many fields of business research, but its use in family business research remains in its infancy. This lag in SEM's application holds especially true for partial least squares SEM (PLS-SEM), an alternative to covariance-based...

Purpose – Research on international marketing usually involves comparing different groups of respondents. When using structural equation modeling (SEM), group comparisons can be misleading unless researchers establish the invariance of their measures. While methods have been proposed to...

Discussions concerning different structural equation modeling methods draw on an increasing array of concepts and related terminology. As a consequence,misconceptions about the meaning of terms such as reflective measurement and common factor models as well as formative measurement and composite...

Uncovering unobserved heterogeneity is a requirement to obtain valid results when using structural equation modeling (SEM). Conventional segmentation methods usually fail in an SEM context because they account for the indicator data, but not for the latent variables and their relationships in...