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

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

Proceedings of ideal 2019. Springer Nature, 2019. 127.

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@inproceedings{950351642bdb4567b9ea7ff7894893d1,
title = "Studying the Evolution of the ‘Circular Economy’ 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",
month = "8",
day = "23",
language = "English",
booktitle = "Proceedings of ideal 2019",
publisher = "Springer Nature",
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 - 2019/8/23

Y1 - 2019/8/23

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

BT - Proceedings of ideal 2019

PB - Springer Nature

ER -