Rodríguez HAG, Sosa RY, Viña BSJ

Language: Spanish
References: 12
Page: 1-11
PDF size: 581.59 Kb.

ABSTRACT

Introduction: The best management of work safety and health is the practice of prevention; its efficiency is based in specialized knowledge for the assessment of risks and the search of good solutions. Therefore, the success depends on the comprehension of the knowledge intensity that this task requires.
Objective: Analyze the intensity of the knowledge work that demands the management of safety and health in the functions of a company.
Methods: The study was carried out in the National Company of Analysis and Technical Services during the period when it was performed the research for the accreditation of their Occupational health and safety management system by the NC ISO 45001. It was assessed the intensity of knowledge work from the division of the work in tasks, which were assessed according to the dimensions: required calification, autonomy, innovation, intensity of information, interdependencies and variability of the situations. It was calculated the overall intensity, the contribution of each task and of each dimension.
Results: The most demanding dimension was the intensity of information, because of the technological aspects as well as due to the medical and legal aspects. The tasks with most demand of knowledge intensity were: the identification of dangers and assessment of risks, the training of workers, and the one related with the conduction and analysis of medical checkings.
Conclusions: The effectiveness of health and safety’s management in companies requires informatics supports that actually respond to their needs, and interdisciplinary systematic exchanges among engineers, psychologists and physicians devoted to occupational health and security.

REFERENCES

1. República de Cuba. Ley No. 116, "Código de Trabajo", de 20 de diciembre de 2013. Gaceta Oficial No. 29 Extraordinaria; 17 jun. 2014. p. 453-83.

2. Oficina Nacional de Normalización. NC-ISO 45001: 2018. Sistemas de gestión de la seguridad y salud en el trabajo - Requisitos con orientación para su uso. La Habana: Oficina Nacional de Normalización; 2018. p. 62.

3. International Labour Office (ed.). Teleworking during the COVID-19 pandemic and beyond. A practical guide. Geneva: International Labour Office; 2020. [acceso 31/07/2020]; Disponible en: https://www.ilo.org/wcmsp5/groups/public/---ed_protect/---protrav/---travail/documents/instructionalmaterial/wcms_751232.pdf

4. Drucker PF. Knowledge-Worker Productivity: The Biggest Challenge. California Management Review. 1999;14(2):79-94.

5. Ramírez Y, Steudel HJ. Measuring Knowledge Work: The Knowledge Work Quantification Framework. Journal of Intellectual Capital. 2008;9(4):564-84. DOI 10.1108/14691930810913168

6. Rodríguez Hernández AG, Casares Li R, Viña Brito S. La evaluación de la intensidad de trabajo de conocimiento en la ingeniería industrial. [CD-ROM] En Memorias del VII Simposio de Ingeniería Industrial y Afines. La Habana: ISPJAE; 2012.

7. Ahonen M, llmarinen R, Kuorinka I, Launis M, Lehtelá J, Leskinen T, et al. Ergonomic workplace analysis. Ergonomics Section. Helsinki: Finnish Institute of Occupational Health; 1989. p. 34.

8. Jacobs RL. Knowledge Work and Human Resource Development. Human Resource Development Review. 2017;16(2):176-202. DOI: 10.1177/1534484317704293

9. Rodríguez-Hernández AG. Casares-Li R, Viña-Brito SJ, Rodríguez-Abril O. Diseño de ayudas al trabajador del conocimiento. Ingeniería Industrial. 2015 [acceso 07/10/2015];36(2):118-25. Disponible en: http://scielo.sld.cu/pdf/rii/v36n2/rii02215.pdf

10. Echevarría Molina C, Hernández Apaulaza R, Garza Ríos R. Statistical analysis in the evaluation of intensity of knowledge work. In: Universidad de La Habana. [CD-ROM] 11th International Workshop on Operations Research, 10th - 13th March. La Habana: Universidad de La Habana; 2015.

11. Casares-Li R, Rodríguez-Hernández AG, Viña-Brito SJ. Análisis de errores humanos mediante la tecnología TEREH: experiencias en su aplicación. Ingeniería Industrial. 2016 [acceso 04/04/2016];37(1):49-58. Disponible en: http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1815-59362016000100006&lng=es&nrm=iso

12. Casares-Li R, Rodríguez-Hernández AG, Viña-Brito S. Knowledge Patterns to Support Ergonomic Treatment of Human Error: Technology TErEH. En: Ronald L. Boring, Advances in Human Error, Reliability, Resilience, and Performance. Switzerland: Springer International Publishing; 2019. p. 88-98.