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

^*Corresponding author for this work

Escuela Politecnica Nacional
CERAG

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Trends and Advances in Information Systems and Technologies
Editors	Alvaro Rocha, Luis Paulo Reis, Sandra Costanzo, Hojjat Adeli
Publisher	Springer Verlag
Pages	576-586
Number of pages	11
ISBN (Print)	9783319777023
DOIs	https://doi.org/10.1007/978-3-319-77703-0_57
State	Published - 2018
Externally published	Yes
Event	6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italy Duration: 27 Mar 2018 → 29 Mar 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	745
ISSN (Print)	2194-5357

Conference

Conference	6th World Conference on Information Systems and Technologies, WorldCIST 2018
Country/Territory	Italy
City	Naples
Period	27/03/18 → 29/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Content analysis
LDA topic model
Monte Carlo method
Sustainable development
Sustainable supply chain

Access to Document

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

Cite this

Montenegro, C., Loza-Aguirre, E., & Segura-Morales, M. (2018). Using probabilistic topic models to study orientation of sustainable supply chain research. In 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).

@inproceedings{6ed9046a3796452d9e58b89350368a32,

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",

author = "Carlos Montenegro and Edison Loza-Aguirre and Marco Segura-Morales",

note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 6th World Conference on Information Systems and Technologies, WorldCIST 2018 ; Conference date: 27-03-2018 Through 29-03-2018",

year = "2018",

doi = "10.1007/978-3-319-77703-0\_57",

language = "Ingl{\'e}s",

isbn = "9783319777023",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "576--586",

editor = "Alvaro Rocha and Reis, \{Luis Paulo\} and Sandra Costanzo and Hojjat Adeli",

booktitle = "Trends and Advances in Information Systems and Technologies",

}

Montenegro, C, Loza-Aguirre, E & Segura-Morales, M 2018, Using probabilistic topic models to study orientation of sustainable supply chain research. in 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, Italy, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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.

KW - Content analysis

KW - LDA topic model

KW - Monte Carlo method

KW - Sustainable development

KW - Sustainable supply chain

UR - https://www.scopus.com/pages/publications/85045139027

U2 - 10.1007/978-3-319-77703-0_57

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

M3 - Contribución a la conferencia

AN - SCOPUS:85045139027

SN - 9783319777023

T3 - Advances in Intelligent Systems and Computing

SP - 576

EP - 586

BT - Trends and Advances in Information Systems and Technologies

A2 - Rocha, Alvaro

A2 - Reis, Luis Paulo

A2 - Costanzo, Sandra

A2 - Adeli, Hojjat

PB - Springer Verlag

T2 - 6th World Conference on Information Systems and Technologies, WorldCIST 2018

Y2 - 27 March 2018 through 29 March 2018

ER -

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this