Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)

Abstract

PROACTIVE MANAGEMENT OF OCCUPATIONAL RISKS IN AN ORGANIZATION IN THE OIL SECTOR USING BUSINESS INTELLIGENCE AND TEXT MINING

Author(s): Jesus David Julio-Parra & Juan Pablo Giraldo-Rend

Occupational health and safety are strategic variables of great importance for the development of any organization, since it reflects the responsibility towards its workers and the environment where it is developed. In this article, an analysis of the reports of unsafe acts and conditions is carried out through the application of business intelligence and text mining techniques, which led to the construction of an interactive dashboard that includes a word cloud diagram allowing to identify the phrases most reported by workers. In addition, it associates them with risk situations that may be occurring in different projects. This allows timely decision making that leads to intervene in the occurrence of incidents. Finally, the limitations of the analysis are presented and suggestions for improvement of the method used are proposed.

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