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Disrupting the Ecosystem: Shifting the Paradigm in Circular Economy with Business Analytics

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 2243

Special Issue Editors


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Guest Editor
Department of Business Informatics at UGent (Belgium) and is a lecturer at KU Leuven, Leuven, Belgium
Interests: process mining; machine learning; geospatial analytics

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Guest Editor
Department of Computer Science, Reykjavik University, Reykjavik, Iceland
Interests: machine learning; network analytics; marketing analytics

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Guest Editor
Marketing, Innovation, and Organization Department, Faculty of Economics and Business Administration, UGent Tweekerkenstraat 2, 9000 Gent, Belgium
Interests: machine learning; marketing analytics; social network analytics

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Guest Editor
Department of Mathematics, university Antwerpen, Antwerpen, Belgium
Interests: statistical data science; actuarial sciences; fraud and anomaly detection; reserving; high-dimensional analysis; robust statistics; deep learning
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Special Issue Information

Dear Colleagues,

All across the globe, policy makers, organizations, customers, and the general public are becoming increasingly aware of the necessity of sustainable development. The concept of a circular economy forms a cornerstone towards reaching this goal, describing a closed loop in which products, raw materials, and intermediate goods lose their value as little as possible through means of reducing their use, as well as increasing reuse and recycling. Obviously, this gives rise to a lot of synergies across different scientific fields, including economy, engineering, management, political sciences, and many others. In this Special Issue of Sustainability, we invite works that zoom into the possible relationships between business analytics and the circular economy, from a broad perspective, including managerial systems and applied viewpoints. This includes, amongst others, the application of machine learning and predictive modelling towards supporting and improving sustainable supply chains, product design, production process improvements, applications of analytics in the domain of renewable energy and predictive maintenance, and analytics for footprint reduction. Contributions exploring a holistic angle focusing on the relationship between business analytics and the circular economy are also welcomed.

We look forward to receiving your contributions.

Prof. Dr. Seppe vanden Broucke
Prof. Dr. María Óskarsdóttir
Prof. Dr. Matthias Bogaert
Prof. Dr. Tim Verdonck
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • circular economy
  • sustainability
  • renewable energy
  • supply chain
  • modular products
  • recycling
  • natural capital use
  • machine learning
  • artificial intelligence
  • predictive modelling
  • recommender systems

Published Papers (1 paper)

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Research

17 pages, 462 KiB  
Article
Green Intentions: Field Research and Data-Driven Analysis of Customers’ Purchasing Patterns
by Camilla Carpinelli, Einar Torfi Einarsson Reynis, Anna Sigríður Islind, Hlynur Stefánsson and María Óskarsdóttir
Sustainability 2022, 14(16), 9863; https://doi.org/10.3390/su14169863 - 10 Aug 2022
Cited by 2 | Viewed by 1815
Abstract
Sustainability and sustainable consumption have become key factors in the battle with global warming in general and environmental pollution in particular. To motivate consumers to make sustainable purchasing decisions, it is necessary to understand consumers’ attitudes and purchasing behavior towards green products. This [...] Read more.
Sustainability and sustainable consumption have become key factors in the battle with global warming in general and environmental pollution in particular. To motivate consumers to make sustainable purchasing decisions, it is necessary to understand consumers’ attitudes and purchasing behavior towards green products. This study analyzed if the environmental impact of select products had measurable effects on consumers’ purchasing behavior by analyzing purchasing data from a large retail store in Iceland spanning two years. To gain insight into consumers attitude and intentions towards green products, a survey was conducted which received 166 responses, and will be used in comparison with the purchasing data analysis and testing. The main goal of this study is to analyze the gap between consumers’ intent to consumers’ actual green purchasing. The results of this study will demonstrate that there is an actual difference in this field. Full article
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