4 resultados para Structural Equations Modeling
em Universidad de Alicante
Resumo:
The modeling of complex dynamic systems depends on the solution of a differential equations system. Some problems appear because we do not know the mathematical expressions of the said equations. Enough numerical data of the system variables are known. The authors, think that it is very important to establish a code between the different languages to let them codify and decodify information. Coding permits us to reduce the study of some objects to others. Mathematical expressions are used to model certain variables of the system are complex, so it is convenient to define an alphabet code determining the correspondence between these equations and words in the alphabet. In this paper the authors begin with the introduction to the coding and decoding of complex structural systems modeling.
Resumo:
Purpose – The purpose of this paper is to analyze the internalization of quality management (QM) on the basis of quality certifiable standards – also referred to as meta-standards – in service organizations. More specifically, the paper analyzes the case of the internalization of a quality standard in the Spanish hotel industry. Design/methodology/approach – The paper examines the relationships between the measures of internalization, benefit, QM tools and motivation, using partial least squares in the framework of the structural equation modeling technique. Findings – The results show that the hotels that have internalized the standard to a greater extent are more likely to be driven by internal motivation, develop more QM tools and achieve greater benefits than the hotels with a lower degree of internalization. Originality/value – As previous studies have examined these issues in relation to the internalization of ISO standards, the present study adds to this important stream of research and contributes by advancing the understanding of these issues through the case of a specific standard for the hotel industry.
Resumo:
Este artículo sugiere que el personal de hotel ante un trato (in)justo del hotel hacia los clientes atribuye tal trato a la responsabilidad del hotel y, dependiendo que éste sea justo o injusto, aumentaría o disminuiría sus conductas orientadas al cliente (COBs). Los datos fueron recogidos mediante cuestionarios pasados a 204 empleados de ocho hoteles de lujo en las Islas Canarias (España). Para examinar las hipótesis se utilizaron modelos de ecuaciones estructurales (SEM). No así en el caso de percepciones de justicia distributiva, los resultados muestran que cuanta más justicia procedimental e interpersonal hacia los huéspedes perciban los empleados, más se implican en conductas orientadas al cliente (COBs). Los hallazgos sugieren la necesidad de prevenir episodios de maltrato a los huéspedes por parte del hotel, haciendo especial hincapié en aquellos que son visibles para los empleados, para promover así conductas orientadas al cliente (COBs). Hasta donde nosotros sabemos, este es el primer estudio empírico en donde la justicia organizativa (distributiva, procedimental e interpersonal) dirigida hacia los clientes y las conductas orientadas al cliente (COBs) de los empleados son examinadas conjuntamente en un mismo modelo.
Resumo:
The optimization of chemical processes where the flowsheet topology is not kept fixed is a challenging discrete-continuous optimization problem. Usually, this task has been performed through equation based models. This approach presents several problems, as tedious and complicated component properties estimation or the handling of huge problems (with thousands of equations and variables). We propose a GDP approach as an alternative to the MINLP models coupled with a flowsheet program. The novelty of this approach relies on using a commercial modular process simulator where the superstructure is drawn directly on the graphical use interface of the simulator. This methodology takes advantage of modular process simulators (specially tailored numerical methods, reliability, and robustness) and the flexibility of the GDP formulation for the modeling and solution. The optimization tool proposed is successfully applied to the synthesis of a methanol plant where different alternatives are available for the streams, equipment and process conditions.