Suporte à aprendizagem, satisfação no trabalho e desempenho : um estudo multinível

AUTOR(ES)
DATA DE PUBLICAÇÃO

2009

RESUMO

Investing on intellectual capital, with a focus on individual performance, became the guiding pillar for personell management actions. Employee, valorization and providing psycho-social support for informal learning became vital. This papers aims to empirically test a teorical multilevel model for the prediction of individual performance. Antecedent variables were biographical and functional characteristics and learning support, measured at the individual and contextual levels, and work satisfaction, at the individual level.. Two studies were accomplished in a public corporation which deals with agricultural research in a national scope: the first, the re-validation of work satisfaction and learning support scales (N=780); the second study tested that model with six individual performance scores provided by this corporation. Data collection was done online, in its 45 central and noncentral units. Uni and multivariate data analysis procedures, factorial analysis and multilevel regression analysis have been undertaken. The work satisfaction (five factors) and learning support (two factors) scales showed adequate psychometric indexes. The multilevel results have confimed the hypothesized theoretical research model and have shown evidence that the performance variance was explained by distinct individual and contextual level predictors. Within the individual level predictors, the type of position, satisfaction with promotion and salary policiesand schooling were salient. The collective perception of learning support provided by co-workers, a contextual variable has predicted all performance scores. Given the performance scores which were based on the employees work plan, most of the prediction was derived from individual variables in that model On the other hand, performance scores related to the impact of these work plans on the corporative units were better predicted by the interaction among variables from the same level and cross-level interactions. Multilevel modelling has been shown a fundamental tool for revealing complex prediction of performance at work. Based on these empirical findings, methodological, theoretical and practical implications, limitations and a research agenda are presented.

ASSUNTO(S)

work satisfaction work performance multilevel regression satisfação no trabalho regressão multinível suporte à aprendizagem desempenho no trabalho psicologia do trabalho e organizacional learning support

ACESSO AO ARTIGO

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