Quantification of social impacts on workers to aid decision-making in micro and small enterprises

Diego Alexis Ramos Huarachi, Fabio Neves Puglieri, Julio Abraham Ramos Quispe, Antonio Carlos De Francisco

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Micro and Small Enterprises (MSEs) are a great source of social impacts and are more vulnerable to have worse social performance on their workers than bigger firms. Thus, it is important to aid decision-making to optimize the social impacts of MSEs on their workers. Hence, the purpose of this study is to apply a quantification framework to the qualitative results of a previous social life cycle assessment study applied in MSEs and to prove whether the quantification of the social impacts on their workers can aid to decision-making in this type of organizations. The method follows a four-step procedure and uses customized score factors for quantifying the social impacts on workers and was applied in three MSEs from three service activities. The results show several social hotspots that impacts negatively on MSEs' workers (Freedom of association, Fair salary, Working hours, and Social benefits), thus, some actions, such as the encouragement of association of workers to labor unions, the increasing of salaries, the reduction of working hours and the provision of more social benefits, are suggested to enhance the social impacts on MSEs' workers. So, the quantified results of social life cycle assessment allow to recognize social hotspots, they are a guidance to realize in what issues MSEs are impacting negatively on their workers and, thus, it aids to the decision-making, and encourages MSE-owners to take actions on it, in order to be more responsible with their workers and more socially sustainable.

Idioma originalInglés
Título de la publicación alojada2020 International Conference on Decision Aid Sciences and Application, DASA 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas127-131
Número de páginas5
ISBN (versión digital)9781728196770
DOI
EstadoPublicada - 8 nov. 2020
Publicado de forma externa
Evento2020 International Conference on Decision Aid Sciences and Application, DASA 2020 - Virtual, Sakheer, Bahréin
Duración: 7 nov. 20209 nov. 2020

Serie de la publicación

Nombre2020 International Conference on Decision Aid Sciences and Application, DASA 2020

Conferencia

Conferencia2020 International Conference on Decision Aid Sciences and Application, DASA 2020
País/TerritorioBahréin
CiudadVirtual, Sakheer
Período7/11/209/11/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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