Using probabilistic topic models to study orientation of sustainable supply chain research

Carlos Montenegro; Edison Loza-Aguirre; Marco Segura-Morales

doi:10.1007/978-3-319-77703-0_57

Using probabilistic topic models to study orientation of sustainable supply chain research

Carlos Montenegro, Edison Loza-Aguirre, Marco Segura-Morales

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

2 Citas (Scopus)

Resumen

Even though the notion of sustainable development calls for an equilibrium among social, environmental and economic dimensions, several studies have suggested that an unbalance exists about the attention given to the three dimensions. Nonetheless, few contributions have demonstrated such unbalance. In this article, we propose a method based on LDA Topic Model, conceived to speed up the analysis of the sustainable orientation of a corpus. To test the procedure, we compared the results obtained using our method against those from a manual coding procedure performed on about ten years of literature from top-tier journals dealing with Sustainable Supply Chain issues. Our results confirm unbalance on research in this field, as they were reported previously. They show that most research is oriented to environmental and economic aspects, leaving aside social issues.

Idioma original	Inglés
Título de la publicación alojada	Trends and Advances in Information Systems and Technologies
Editores	Alvaro Rocha, Luis Paulo Reis, Sandra Costanzo, Hojjat Adeli
Editorial	Springer Verlag
Páginas	576-586
Número de páginas	11
ISBN (versión impresa)	9783319777023
DOI	https://doi.org/10.1007/978-3-319-77703-0_57
Estado	Publicada - 2018
Publicado de forma externa	Sí
Evento	6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italia Duración: 27 mar. 2018 → 29 mar. 2018

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	745
ISSN (versión impresa)	2194-5357

Conferencia

Conferencia	6th World Conference on Information Systems and Technologies, WorldCIST 2018
País/Territorio	Italia
Ciudad	Naples
Período	27/03/18 → 29/03/18

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

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10.1007/978-3-319-77703-0_57

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Montenegro, C., Loza-Aguirre, E., & Segura-Morales, M. (2018). Using probabilistic topic models to study orientation of sustainable supply chain research. En A. Rocha, L. P. Reis, S. Costanzo, & H. Adeli (Eds.), Trends and Advances in Information Systems and Technologies (pp. 576-586). (Advances in Intelligent Systems and Computing; Vol. 745). Springer Verlag. https://doi.org/10.1007/978-3-319-77703-0_57

Montenegro, Carlos ; Loza-Aguirre, Edison ; Segura-Morales, Marco. / Using probabilistic topic models to study orientation of sustainable supply chain research. Trends and Advances in Information Systems and Technologies. editor / Alvaro Rocha ; Luis Paulo Reis ; Sandra Costanzo ; Hojjat Adeli. Springer Verlag, 2018. pp. 576-586 (Advances in Intelligent Systems and Computing).

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title = "Using probabilistic topic models to study orientation of sustainable supply chain research",

abstract = "Even though the notion of sustainable development calls for an equilibrium among social, environmental and economic dimensions, several studies have suggested that an unbalance exists about the attention given to the three dimensions. Nonetheless, few contributions have demonstrated such unbalance. In this article, we propose a method based on LDA Topic Model, conceived to speed up the analysis of the sustainable orientation of a corpus. To test the procedure, we compared the results obtained using our method against those from a manual coding procedure performed on about ten years of literature from top-tier journals dealing with Sustainable Supply Chain issues. Our results confirm unbalance on research in this field, as they were reported previously. They show that most research is oriented to environmental and economic aspects, leaving aside social issues.",

keywords = "Content analysis, LDA topic model, Monte Carlo method, Sustainable development, Sustainable supply chain",

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Montenegro, C, Loza-Aguirre, E & Segura-Morales, M 2018, Using probabilistic topic models to study orientation of sustainable supply chain research. En A Rocha, LP Reis, S Costanzo & H Adeli (eds.), Trends and Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 745, Springer Verlag, pp. 576-586, 6th World Conference on Information Systems and Technologies, WorldCIST 2018, Naples, Italia, 27/03/18. https://doi.org/10.1007/978-3-319-77703-0_57

Using probabilistic topic models to study orientation of sustainable supply chain research. / Montenegro, Carlos; Loza-Aguirre, Edison; Segura-Morales, Marco.
Trends and Advances in Information Systems and Technologies. ed. / Alvaro Rocha; Luis Paulo Reis; Sandra Costanzo; Hojjat Adeli. Springer Verlag, 2018. p. 576-586 (Advances in Intelligent Systems and Computing; Vol. 745).

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

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T1 - Using probabilistic topic models to study orientation of sustainable supply chain research

AU - Montenegro, Carlos

AU - Loza-Aguirre, Edison

AU - Segura-Morales, Marco

PY - 2018

Y1 - 2018

N2 - Even though the notion of sustainable development calls for an equilibrium among social, environmental and economic dimensions, several studies have suggested that an unbalance exists about the attention given to the three dimensions. Nonetheless, few contributions have demonstrated such unbalance. In this article, we propose a method based on LDA Topic Model, conceived to speed up the analysis of the sustainable orientation of a corpus. To test the procedure, we compared the results obtained using our method against those from a manual coding procedure performed on about ten years of literature from top-tier journals dealing with Sustainable Supply Chain issues. Our results confirm unbalance on research in this field, as they were reported previously. They show that most research is oriented to environmental and economic aspects, leaving aside social issues.

AB - Even though the notion of sustainable development calls for an equilibrium among social, environmental and economic dimensions, several studies have suggested that an unbalance exists about the attention given to the three dimensions. Nonetheless, few contributions have demonstrated such unbalance. In this article, we propose a method based on LDA Topic Model, conceived to speed up the analysis of the sustainable orientation of a corpus. To test the procedure, we compared the results obtained using our method against those from a manual coding procedure performed on about ten years of literature from top-tier journals dealing with Sustainable Supply Chain issues. Our results confirm unbalance on research in this field, as they were reported previously. They show that most research is oriented to environmental and economic aspects, leaving aside social issues.

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KW - LDA topic model

KW - Monte Carlo method

KW - Sustainable development

KW - Sustainable supply chain

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Montenegro C, Loza-Aguirre E, Segura-Morales M. Using probabilistic topic models to study orientation of sustainable supply chain research. En Rocha A, Reis LP, Costanzo S, Adeli H, editores, Trends and Advances in Information Systems and Technologies. Springer Verlag. 2018. p. 576-586. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-77703-0_57

Using probabilistic topic models to study orientation of sustainable supply chain research

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