The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in...

The propose of this paper is to develop a Bayesian procedure that adequately account for studies with zero observations in meta-analysis and then we focus the problem in the context of the Bayesian selection models. Also, attention is focused to the link distribution between effectiveness in...

The literature shows contradictory results in the direction and intensity of the relation between size and innovation. This study presents the results of a metaanalytic investigation, which aims to clarify this discrepancy. The sample used was made up of 87 correlations taken from 53 empirical...

This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: univariate, linear, discriminate and logit regression; recursive partitioning, rough sets, artificial neural networks, and DEA. Our goals are: clarify the complexity-effectiveness balance of each...

Artículo de revista ; El uso de herramientas de inteligencia artificial está proliferando en los últimos tiempos en todos los sectores de la economía, debido, entre otras cuestiones, al creciente volumen de datos digitales y al aumento de la capacidad computacional. La aplicación de estas...