TITLE

Identificación diferencial de objetivos y resultados de los planes de formación: una aplicación al sector de la acuicultura en España

AUTHOR(S)
Cruz González, María Montserrat; Sánchez Sellero, Francisco Javier
PUB. DATE
July 2011
SOURCE
Contabilidad y Negocios;jul2011, Vol. 6 Issue 11, p67
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The main aims of the formation, related theoretically to the performance of human resources, self-training, information and effectiveness, have been identified as the amount in which the company goes further from knowledge to learning. In this paper three hypotheses applied to the Spanish aquaculture are proposed to model the differential aim follow-up and the achievements of the formation plans. The empirical analysis has been carried out with the data of 99 representative companies of the aquaculture sector. The SPSS 19 statistical program was used for the data analysis. A factor analysis was made by the method of principal components. Eighteen nonparametric tests of Kruskal-Wallis type were applied, as well as 36 chi-squared tests. As a result, three principal components were identified that explain 80% of the variance of the aims: the first one refers to policies of implication of human resources, the second one is related to objective circumstances and the third one is associated to dynamism. It was confirmed that the relevance of aims is proportional to the percentage of expense in formation and, specifically, it is greater in suppliers. Finally, significant differences in the results of the formation with respect to the reduction of errors were observed, this reduction being greater in fish distribution and production. Significant differences were also observed in the effect of the formation on the motivation of the employee, this being greater in fish suppliers and producers.
ACCESSION #
66963948

 

Related Articles

  • Constructing and Empirical Research on Producer Services Development Evaluation System Based on Principal Component Analysis. Benhua Xu // Journal of Applied Sciences;2013, Vol. 13 Issue 17, p3453 

    In Post-industrial society, the development of service industry become the main power of economic growth and the symbol of modernization of the city. This study aims to build evaluation system of the development level of producer services and assess the development level of producer services in...

  • A Near-Optimal Algorithm for Differentially-Private Principal Components. Chaudhuri, Kamalika; Sarwate, Anand D.; Sinha, Kaushik // Journal of Machine Learning Research;Sep2013, Vol. 14, p2905 

    The principal components analysis (PCA) algorithm is a standard tool for identifying good low-dimensional approximations to high-dimensional data. Many data sets of interest contain private or sensitive information about individuals. Algorithms which operate on such data should be sensitive to...

  • Application of the Empirical Orthogonal Function to Study the Rainfall Pattern in Daerah Istimewa Yogyakarta Province. Adi-Kusumo, Fajar; Gunardi; Utami, Herni; Nurjani, Emilya; Sopaheluwakan, Ardhasena; Aluicius, Irwan Endrayanto; Christiawank, Titus // AIP Conference Proceedings;2016, Vol. 1707 Issue 1, p1 

    We consider the Empirical Orthogonal Function (EOF) to study the rainfall pattern in Daerah Istimewa Yogyakarta (DIY) Province, Indonesia. The EOF is one of the important methods to study the dominant pattern of the data using dimension reduction technique. EOF makes possible to reduce the huge...

  • Supplier Selection Via Principal Component Analysis: An Empirical Examination. Amiri, M.; Hadadi, B.; Amirkhani, A. H.; Izadbakhsh, H. // Journal of Applied Sciences;2008, Vol. 8 Issue 20, p3715 

    This study presents a multivariate approach for solving supplier selection problem. The approach is based on Principal Component Analysis (PCA) that uses information obtained from eigen values to combined different ratio measures defined by every input and every output.

  • MethylPCA: a toolkit to control for confounders in methylome-wide association studies. Chen, Wenan; Gao, Guimin; Nerella, Srilaxmi; Hultman, Christina M.; Magnusson, Patrik KE; Sullivan, Patrick F.; Aberg, Karolina A.; van den Oord, Edwin JCG // BMC Bioinformatics;2013, Vol. 14 Issue 1, p1 

    Background: In methylome-wide association studies (MWAS) there are many possible differences between cases and controls (e.g. related to life style, diet, and medication use) that may affect the methylome and produce false positive findings. An effective approach to control for these confounders...

  • RECONCILING COST CALCULATIONS AND MANAGEMENT CONTROL TOOLS IN MUNICIPAL SERVICES: AN EMPIRICAL STUDY. Avelé, Donatien // Allied Academies International Conference: Proceedings of the Ac;Oct2012, Vol. 17 Issue 2, p67 

    Municipality control has not always led to conclusive results. This is particularly true for the municipalities of the emerging countries of francophone Sub-Saharan Africa. Thus local managers are increasingly faced with the difficulties related to controlling the costs of their various...

  • Empirical Analysis of the Most Relevant Parameters of Codon Substitution Models. Zoller, Stefan; Schneider, Adrian // Journal of Molecular Evolution;Jun2010, Vol. 70 Issue 6, p605 

    Traditionally, codon models of evolution have been parametric, meaning that the 61 × 61 substitution rate matrix was derived from only a handful of parameters, typically the equilibrium frequencies, the ratio of nonsynonymous to synonymous substitution rates and the ratio between transition...

  • Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Triguero, Isaac; García, Salvador; Herrera, Francisco // Knowledge & Information Systems;Feb2015, Vol. 42 Issue 2, p245 

    Semi-supervised classification methods are suitable tools to tackle training sets with large amounts of unlabeled data and a small quantity of labeled data. This problem has been addressed by several approaches with different assumptions about the characteristics of the input data. Among them,...

  • Principal component analysis of surface water quality data of the River Drava in eastern Croatia (24 year survey). Gvozdić, Vlatka; Brana, Josip; Malatesti, Nela; Roland, Danijela // Journal of Hydroinformatics;Oct2012, Vol. 14 Issue 4, p1051 

    The River Drava is one of the major, inexhaustible water sources not only for Croatia, but also for the other European countries it flows through. This study is based on the observations of 15 water variables at three sampling stations in the lower River Drava over a 24 year period. Although the...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics