Analysis of the quality of work life in the sewing sector of a clothing industry

The objective of this research was to analyze the quality of work life in the sewing sector of a clothing industry located in the Northwest of the Paraná. The research is characterized as an exploratory and descriptive case study. The instrument of data collection was an adaptation of the model cons...

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Detalles Bibliográficos
Autores: Aquino, Danielly Silva de, Maier, Rubia Carla, Freitas, Juliano Dias de, Francisco, Antonio Carlos de
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:Brasil
Institución:Associação Brasileira de Engenharia de Produção (ABEPRO)
Repositorio:Revista Produção Online
Idioma:portugués
OAI Identifier:oai:ojs.www.producaoonline.org.br:article/871
Acceso en línea:https://www.producaoonline.org.br/rpo/article/view/871
Access Level:acceso abierto
Palabra clave:Quality of Work Life. Clothing Industry. Sector of Sewing. Walton’s Model.
Qualidade de Vida no Trabalho. Indústria de Confecção. Setor de Costura. Modelo de Walton.
Descripción
Sumario:The objective of this research was to analyze the quality of work life in the sewing sector of a clothing industry located in the Northwest of the Paraná. The research is characterized as an exploratory and descriptive case study. The instrument of data collection was an adaptation of the model considered for Walton. For data analysis descriptive statistics and the diagram of boxes were used (boxplot). The results had disclosed that the eight criterions of the quality of work life investigated had presented levels of satisfaction greater than 50%. A satisfactory general average can be evidenced (66.85%) among the employees of the sewing sector in relation to the quality of work life. Although the presented levels of satisfaction, it would be interesting to take some measures aiming to improve them even more. These measures should be directed to the analysis of the criterion “proper and fair compensation”, which presented the worst average and greater dispersion among investigated criteria.