Este libro es una traducción autorizada por Sage del libro Advanced Issues in Partial Least Squares Structural Equation Modeling. Concebido como una ampliación del Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición)*, esta guía práctica de fácil manejo abarca contenido avanzado de PLS-SEM para ayudar a los estudiantes e investigadores a aplicar técnicas sobre problemas de investigación y a interpretar oportunamente los resultados. El libro aporta un resumen de conceptos básicos antes de centrarse en aspectos más avanzados. Además, ofrece amplios ejemplos del software SmartPLS 3 (www.smartpls.com) y viene acompañado de bases de datos de descarga gratuita. En el libro se subraya la necesidad de aplicar cuidadosamente cualquier enfoque de PLS-SEM para asegurarnos de que éste encaje con el contexto de investigación y las características de los datos. Características clave: · Uso limitado de fórmulas, ecuaciones, símbolos y notaciones similares que hace que se comprendan los conceptos fácilmente. · Disponibilidad de reglas prácticas en cada capítulo que aportan guías concretas de mejores prácticas para aplicar e interpretar PLS-SEM y preparar artículos para su publicación en revistas científicas. · Empleo de un mismo ejemplo y base de datos a lo largo de todo el libro para facilitar la consistencia en los aspectos relacionados con el caso propuesto. · Conjunto de recursos que se pueden descargar de manera gratuita: bases de datos y proyectos de SmartPLS para practicar las técnicas planteadas. · Manual traducido y actualizado con pies de página con los desarrollos más recientes de PLS-SEM. -------- *Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM) (segunda edición) Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). OmniaScience Scholar, Terrassa, Barcelona.
Purpose This study aims to advance understanding about quality management (QM) practices by clarifying how competitive strategy conditions the impacts of exploitative and explorative QM practices on performance. Design/methodology/approach The authors apply partial least squares structural equation modeling to data from a sample of German pharmaceutical firms. Findings The results show that the impact of exploitative and explorative QM practices on firm performance is contingent on the competitive strategy pursued. Explorative QM practices are significantly more relevant for firms following a differentiation strategy, whereas exploitative QM practices are significantly more relevant for cost leaders. Furthermore, for strategically ambidextrous firms that follow simultaneously a cost and a differentiation focus, the interplay of the two QM practices matters. Originality/value This paper contributes to understanding which kind of management practices, exploitative and/or explorative, have greater performance impacts under certain competitive strategy conditions.
PurposeThis study, drawing upon affective events theory (AET), examines the relationships between work environment features, work events, affective states and attitudes in the Malaysian academic environment. Specifically, the authors examine the impact of supervisory support and welfare on role conflict, the impact of role conflict on affective states and the impact of affective states on job satisfaction using data collected from the international faculty.Design/methodology/approachThe authors collected data from 152 respondents through an online platform, and given this study's causal predictive-explanatory nature, the authors apply partial least squares structural equation modeling (PLS-SEM) for data analysis. In addition, the authors complement their analysis by examining the nonlinear effects within the model as a robustness check.FindingsFrom an explanatory perspective, the authors find support for all the hypotheses, implying the applicability of AET in academic contexts. Regarding the predictive perspective, the authors’ model exhibits a high out-of-sample predictive power. Importantly, the robustness check provides additional support for their model.Practical implicationsGiven that the international faculty comes from different countries, the authors’ findings suggest that university managers should formulate and implement policies, which encourage and celebrate cultural diversity to increase the international faculty's job satisfaction. Additionally, policies that improve the process of job designs and descriptions need amendments in a way that reduces the role conflict faced by the multicultural faculty which, in turn, leads to negative affect and ultimately to job dissatisfaction.Originality/valueThis article is one of the first research studies focusing on the verification of AET in the context of international higher education. The authors apply the recent evaluative guidelines for a solid and rigorous PLS-SEM analysis and prove that the wandering scholars' emotions matter in achieving desirable organizational outcomes in cross-cultural institutions of higher learning.
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