SciELO - Scientific Electronic Library Online

 
vol.22 issue45Innovations in Governmental Accounting in Latin America: The Case of ColombiaPlanning of a Supply Chain for Anti-Personal Landmine Disposal by Means of Robots author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Innovar

Print version ISSN 0121-5051

Abstract

PINEDA-ZAPATA, Uriel; PEREZ-ORTEGA, Giovanni  and  ARANGO-SERNA, Martín. Measuring the Impact of Labor Skills on Productivity in Processes: Case of a Manufacturing Company. Innovar [online]. 2012, vol.22, n.45, pp.37-50. ISSN 0121-5051.

This article is the product of research into two main questions: How to measure the impact of labor skills on productivity in processes? And are worker skills determining factors for performance at the operational level in the workplace? The study was done at a textile manufacturing sector company in the Antioquia region in 2010. The research design employed was an explicative correlational field study. By means of heuristics using multiple regression statistical theory, a model was created that explains the relationship between productivity and the worker in a spinning process with different explicative variables such as: Their technological skill, experience and hours of training, among others. The conclusion is that the evaluated technological skill, as defined in the skills model developed in the United States by the Secretary of Labor Commission (1992), influences changes in productivity among the workers through its "technological reparation" component. The contribution of experience to productivity is also evident, particularly during the early years of work. This in turn is coherent with the concepts of the theory of quality rotation and multi-functionality at the workplace, concepts in accordance with participative theories of administration. The proposed association model explains the 63% variability in productivity (adjusted). The way in which organizational and behavioral factors influence performance variability remains to be determined.

Keywords : technological skill; performance in processes; learning at the workplace.

        · abstract in Spanish | French | Portuguese     · text in Spanish     · Spanish ( pdf )