Studying the Evolution of the ‘Circular Economy’ Concept using Topic ModellingCitation formats

Standard

Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling. / Mahanty, Sampriti; Boons, Frank; Handl, Julia; Batista-Navarro, Riza Theresa.

IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II. Springer Nature, 2019. p. 259-270 127 (Lecture Notes in Computer Science; Vol. 11872).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Mahanty, S, Boons, F, Handl, J & Batista-Navarro, RT 2019, Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling. in IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II., 127, Lecture Notes in Computer Science, vol. 11872, Springer Nature, pp. 259-270.

APA

Mahanty, S., Boons, F., Handl, J., & Batista-Navarro, R. T. (2019). Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling. In IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II (pp. 259-270). [127] (Lecture Notes in Computer Science; Vol. 11872). Springer Nature.

Vancouver

Mahanty S, Boons F, Handl J, Batista-Navarro RT. Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling. In IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II. Springer Nature. 2019. p. 259-270. 127. (Lecture Notes in Computer Science).

Author

Mahanty, Sampriti ; Boons, Frank ; Handl, Julia ; Batista-Navarro, Riza Theresa. / Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling. IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019: 20th International Conference, Manchester, UK, November 14–16, 2019, Proceedings, Part II. Springer Nature, 2019. pp. 259-270 (Lecture Notes in Computer Science).

Bibtex

@inproceedings{950351642bdb4567b9ea7ff7894893d1,
title = "Studying the Evolution of the {\textquoteleft}Circular Economy{\textquoteright} Concept using Topic Modelling",
abstract = "Circular Economy has gained immense popularity for its perceived capacity to operationalise sustainable development. However, a comprehensive long-term understanding of the concept, characterising its evolution in academic literature, has not yet been provided. As a first step, we apply unsupervised topic models on academic articles to identify patterns in concept evolution. We generate topics using LDA, and investigate topic prevalence over time. We determine the optimal number of topics for the model (k) through coherence scorings and evaluate the topic model results by expert judgement. Specifying k as 20, we find topics in the literature focussing on resources, business models, process modelling, conceptual research and policies. We identify a shift in the research focus of contemporary literature, moving away from the Chinese pre-dominance to a European perspective, alongwith a shift towards micro level interventions, e.g., circular design, business models, around 2014-2015. ",
keywords = "circular economy, topic modeling, concept evolution",
author = "Sampriti Mahanty and Frank Boons and Julia Handl and Batista-Navarro, {Riza Theresa}",
year = "2019",
language = "English",
isbn = "978-3-030-33616-5",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "259--270",
booktitle = "IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019",
address = "United States",

}

RIS

TY - GEN

T1 - Studying the Evolution of the ‘Circular Economy’ Concept using Topic Modelling

AU - Mahanty, Sampriti

AU - Boons, Frank

AU - Handl, Julia

AU - Batista-Navarro, Riza Theresa

PY - 2019

Y1 - 2019

N2 - Circular Economy has gained immense popularity for its perceived capacity to operationalise sustainable development. However, a comprehensive long-term understanding of the concept, characterising its evolution in academic literature, has not yet been provided. As a first step, we apply unsupervised topic models on academic articles to identify patterns in concept evolution. We generate topics using LDA, and investigate topic prevalence over time. We determine the optimal number of topics for the model (k) through coherence scorings and evaluate the topic model results by expert judgement. Specifying k as 20, we find topics in the literature focussing on resources, business models, process modelling, conceptual research and policies. We identify a shift in the research focus of contemporary literature, moving away from the Chinese pre-dominance to a European perspective, alongwith a shift towards micro level interventions, e.g., circular design, business models, around 2014-2015.

AB - Circular Economy has gained immense popularity for its perceived capacity to operationalise sustainable development. However, a comprehensive long-term understanding of the concept, characterising its evolution in academic literature, has not yet been provided. As a first step, we apply unsupervised topic models on academic articles to identify patterns in concept evolution. We generate topics using LDA, and investigate topic prevalence over time. We determine the optimal number of topics for the model (k) through coherence scorings and evaluate the topic model results by expert judgement. Specifying k as 20, we find topics in the literature focussing on resources, business models, process modelling, conceptual research and policies. We identify a shift in the research focus of contemporary literature, moving away from the Chinese pre-dominance to a European perspective, alongwith a shift towards micro level interventions, e.g., circular design, business models, around 2014-2015.

KW - circular economy

KW - topic modeling

KW - concept evolution

M3 - Conference contribution

SN - 978-3-030-33616-5

SN - 978-3-030-33617-2

T3 - Lecture Notes in Computer Science

SP - 259

EP - 270

BT - IDEAL 2019: Intelligent Data Engineering and Automated Learning – IDEAL 2019

PB - Springer Nature

ER -