A model based on PDCA and data mining approach for the prevention of occupational accidents in the plumbing activity in the construction sector.

BACKGROUND: Occupational accidents in the plumbing activity in the construction sector in developing countries have high rates of work absenteeism. The productivity of enterprises is heavily influenced by it. OBJECTIVE: To propose a model based on the Plan, Do, Check, and Act cycle and data mining for the prevention of occupational accidents in the plumbing activity in the construction sector. METHODS: This cross-sectional study was administered on a total of 200 male technical workers in plumbing. It considers biological, biomechanical, chemical, and, physical risk factors. Three data mining algorithms were compared: Logistic Regression, Naive Bayes, and Decision Trees, classifying the occurrences occupational accident. The model was validated considering 20% of the data collected, maintaining the same proportion between accidents and non-accidents. The model was applied to data collected from the last 17 years of occupational accidents in the plumbing activity in a Colombian construction company. RESULTS: The results showed that, in 90.5% of the cases, the decision tree classifier (J48) correctly identified the possible cases of occupational accidents with the biological, chemical, and, biomechanical, risk factors training variables applied in the model. CONCLUSION: The results of this study are promising in that the model is efficient in predicting the occurrence of an occupational accident in the plumbing activity in the construction sector. For the accidents identified and the associated causes, a plan of measures to mitigate the risk of occupational accidents is proposed.

Inversión social responsable: una forma de potenciar los agronegocios - caso Colombia / Socially responsible investment: a way to impulse agribusinesses - the case of Colombia

RESUMEN El presente trabajo busca establecer la forma en que la inversión social responsable tiene el potencial de dinamizar el desarrollo empresarial de un país y, al mismo tiempo, asumir los objetivos de sostenibilidad, como propósitos propios de las actividades productivas en los agronegocios. Para ello, se propone una aproximación a un modelo teórico ideal, que expone la dinámica de la inversión social responsable, como impulsor del desarrollo empresarial. En lo metodológico, mediante el análisis de la literatura existente, se estudia el fenómeno desde la perspectiva teórica y, posteriormente, desde la perspectiva empírica, se hace uso de un análisis de framework sobre siete casos de estudio colombianos. De esta forma, se abordan conceptos relacionados con el desarrollo empresarial y la influencia de modelos de agronegocio de doble y triple impacto, así como en factores condicionantes para el otorgamiento de la figura de financiación respectiva. A manera de resultados, junto al modelo teórico expuesto, se suministra un planteamiento basado en cinco proposiciones de asociación, lo cual, prepara el terreno para su futura comprobación deductiva, tanto cualitativa como cuantitativamente.

ABSTRACT This work aims to determine the way in which social responsible investments has the potential of providing dynamism to the entrepreneurial development in agribusiness initiatives. At the same time, it seeks to integrate this concept with sustainable development objectives, and with conventional financial purposes within this particular industry. To do it, this work proposes an ideal theoretical model that exposes the dynamics of the social responsible investments and its positive influence on the entrepreneurial development. Methodologically, by using relevant literature, a conceptual analysis is performed from a theoretical perspective, followed by a framework analysis through the lens of seven Colombian case studies in order to perform a theory-building approach. Specifically, this work examines several concepts related with entrepreneurial development and the influence of double- and triple-bottom-line agribusiness models, together with conditioning factors for obtaining responsible financing. Together with the model at issue, this work provides a duly supported conceptual approach with five associative propositions, which ultimately fosters the prospective testing of the model trough deductive methods in both ways: qualitative and quantitative.