Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators

Byron Calle; Erik Sigcha; Rodrigo Guaman; Lorena Siguenza-Guzman

doi:10.1007/978-3-030-59194-6_14

Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators

Byron Calle, Erik Sigcha, Rodrigo Guaman, Lorena Siguenza-Guzman

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Occupational Safety and Health (OSH) is a primary concern in the Corporate Social Responsibility (CSR) discussion since the workers’ welfare is one of the main aspects of operating in a socially responsible manner. When searching for information about OSH management models, a large amount of content is obtained; however, they have not been compiled or synthesized for their analysis. The purpose of this study is to define the main models, guidelines, and indicators that allow building a conceptual framework for decision-making regarding the topic of OSH as a component for CSR. A literature review methodology was applied to select relevant information in the period 2009–2018 about OSH in manufacturing industries. This literature review allowed analyzing a final sample of 96 articles. As a result, this paper identifies the most applied OSH models, their benefits and challenges, as well as the main guidelines and indicators to be included as part of an OSH-based management model.

Idioma original	Inglés
Título de la publicación alojada	Systems and Information Sciences - Proceedings of ICCIS 2020
Editores	Miguel Botto-Tobar, Willian Zamora, Johnny Larrea Plúa, José Bazurto Roldan, Alex Santamaría Philco
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	157-169
Número de páginas	13
ISBN (versión impresa)	9783030591939
DOI	https://doi.org/10.1007/978-3-030-59194-6_14
Estado	Publicada - 2021
Evento	1st International Conference on Systems and Information Sciences, ICCIS 2020 - Manta, Ecuador Duración: 27 jul. 2020 → 29 jul. 2020

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1273 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conferencia

Conferencia	1st International Conference on Systems and Information Sciences, ICCIS 2020
País/Territorio	Ecuador
Ciudad	Manta
Período	27/07/20 → 29/07/20

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-030-59194-6_14

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Modelo De Gestión Basado En Variables De Calidad Y Responsabilidad Social Empresarial Para La Optimización De Procesos De Ensamblaje.
Morocho Zurita, C. V. (Director), Morles, E. C. (Investigador), Guaman Guachichullca, N. R. (Investigador), Siguenza Guzman, L. C. (Investigador), Segarra Tapia, S. L. (Investigador Invitado), Arcentales Carrion, R. N. (Becarios De Doctorado En I+D), Calle Morocho, B. F. (Tesista Grado), Farfan Rea, P. F. (Tesista Grado), Guacho Ayala, A. S. (Tesista Grado), Jara Molineros, A. C. (Tesista Grado), Mendieta Gutierrez, P. A. (Tesista Grado), Tipantaxi Rosero, G. E. (Tesista Grado) & Sigcha Quezada, E. A. (Personal Tecnico Asimilado)
3/09/18 → 29/02/20
Proyecto: Investigación

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Calle, B., Sigcha, E., Guaman, R., & Siguenza-Guzman, L. (2021). Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators. En M. Botto-Tobar, W. Zamora, J. Larrea Plúa, J. Bazurto Roldan, & A. Santamaría Philco (Eds.), Systems and Information Sciences - Proceedings of ICCIS 2020 (pp. 157-169). (Advances in Intelligent Systems and Computing; Vol. 1273 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59194-6_14

Calle, Byron ; Sigcha, Erik ; Guaman, Rodrigo et al. / Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility : Models, Guidelines, and Indicators. Systems and Information Sciences - Proceedings of ICCIS 2020. editor / Miguel Botto-Tobar ; Willian Zamora ; Johnny Larrea Plúa ; José Bazurto Roldan ; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. pp. 157-169 (Advances in Intelligent Systems and Computing).

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abstract = "Occupational Safety and Health (OSH) is a primary concern in the Corporate Social Responsibility (CSR) discussion since the workers{\textquoteright} welfare is one of the main aspects of operating in a socially responsible manner. When searching for information about OSH management models, a large amount of content is obtained; however, they have not been compiled or synthesized for their analysis. The purpose of this study is to define the main models, guidelines, and indicators that allow building a conceptual framework for decision-making regarding the topic of OSH as a component for CSR. A literature review methodology was applied to select relevant information in the period 2009–2018 about OSH in manufacturing industries. This literature review allowed analyzing a final sample of 96 articles. As a result, this paper identifies the most applied OSH models, their benefits and challenges, as well as the main guidelines and indicators to be included as part of an OSH-based management model.",

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Calle, B, Sigcha, E, Guaman, R & Siguenza-Guzman, L 2021, Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators. En M Botto-Tobar, W Zamora, J Larrea Plúa, J Bazurto Roldan & A Santamaría Philco (eds.), Systems and Information Sciences - Proceedings of ICCIS 2020. Advances in Intelligent Systems and Computing, vol. 1273 AISC, Springer Science and Business Media Deutschland GmbH, pp. 157-169, 1st International Conference on Systems and Information Sciences, ICCIS 2020, Manta, Ecuador, 27/07/20. https://doi.org/10.1007/978-3-030-59194-6_14

Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators. / Calle, Byron; Sigcha, Erik; Guaman, Rodrigo et al.
Systems and Information Sciences - Proceedings of ICCIS 2020. ed. / Miguel Botto-Tobar; Willian Zamora; Johnny Larrea Plúa; José Bazurto Roldan; Alex Santamaría Philco. Springer Science and Business Media Deutschland GmbH, 2021. p. 157-169 (Advances in Intelligent Systems and Computing; Vol. 1273 AISC).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility

T2 - 1st International Conference on Systems and Information Sciences, ICCIS 2020

AU - Calle, Byron

AU - Sigcha, Erik

AU - Guaman, Rodrigo

AU - Siguenza-Guzman, Lorena

PY - 2021

Y1 - 2021

N2 - Occupational Safety and Health (OSH) is a primary concern in the Corporate Social Responsibility (CSR) discussion since the workers’ welfare is one of the main aspects of operating in a socially responsible manner. When searching for information about OSH management models, a large amount of content is obtained; however, they have not been compiled or synthesized for their analysis. The purpose of this study is to define the main models, guidelines, and indicators that allow building a conceptual framework for decision-making regarding the topic of OSH as a component for CSR. A literature review methodology was applied to select relevant information in the period 2009–2018 about OSH in manufacturing industries. This literature review allowed analyzing a final sample of 96 articles. As a result, this paper identifies the most applied OSH models, their benefits and challenges, as well as the main guidelines and indicators to be included as part of an OSH-based management model.

AB - Occupational Safety and Health (OSH) is a primary concern in the Corporate Social Responsibility (CSR) discussion since the workers’ welfare is one of the main aspects of operating in a socially responsible manner. When searching for information about OSH management models, a large amount of content is obtained; however, they have not been compiled or synthesized for their analysis. The purpose of this study is to define the main models, guidelines, and indicators that allow building a conceptual framework for decision-making regarding the topic of OSH as a component for CSR. A literature review methodology was applied to select relevant information in the period 2009–2018 about OSH in manufacturing industries. This literature review allowed analyzing a final sample of 96 articles. As a result, this paper identifies the most applied OSH models, their benefits and challenges, as well as the main guidelines and indicators to be included as part of an OSH-based management model.

KW - Indicators

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KW - Management model

KW - Occupational Safety and Health

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DO - 10.1007/978-3-030-59194-6_14

M3 - Contribución a la conferencia

AN - SCOPUS:85094160401

SN - 9783030591939

T3 - Advances in Intelligent Systems and Computing

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BT - Systems and Information Sciences - Proceedings of ICCIS 2020

A2 - Botto-Tobar, Miguel

A2 - Zamora, Willian

A2 - Larrea Plúa, Johnny

A2 - Bazurto Roldan, José

A2 - Santamaría Philco, Alex

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 27 July 2020 through 29 July 2020

ER -

Calle B, Sigcha E, Guaman R , Siguenza-Guzman L. Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators. En Botto-Tobar M, Zamora W, Larrea Plúa J, Bazurto Roldan J, Santamaría Philco A, editores, Systems and Information Sciences - Proceedings of ICCIS 2020. Springer Science and Business Media Deutschland GmbH. 2021. p. 157-169. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-59194-6_14

Occupational Health and Safety for Decision-Making in the Framework of Corporate Social Responsibility: Models, Guidelines, and Indicators

Resumen

Serie de la publicación

Conferencia

ODS de las Naciones Unidas

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Modelo De Gestión Basado En Variables De Calidad Y Responsabilidad Social Empresarial Para La Optimización De Procesos De Ensamblaje.

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