Exploring recommendations for circular supply chain management through interactive visualisation

Guido van Capelleveen*, Jesse van Wieren, Chintan Amrit, Devrim Murat Yazan, Henk Zijm

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

28 Citations (Scopus)
163 Downloads (Pure)


The new era of circular supply chain management (CSCM) produces a new complex decision area for process managers. Part of it can be attributed to green procurement, in which a large number of potential ideas need to be reviewed that can sustain business. Such a large amount of data can quickly lead to information overload, especially without the presence of appropriate decision support tools. While there exists a range of visualisation methods that can aid the exploration of recommendations, there is a lack of studies that illustrate how these exploration techniques can facilitate the identification of CSCM activities. This paper showcases a study on how to ease the identification of new sustainable business opportunities through visual data exploration. Following the design science methodology, we have designed and evaluated a recommender system prototype (the IS Identification App) that supports sector-based identification of industrial symbiosis. The interactive visualisation enhances users with more control over recommendations and makes the recommendation process more transparent. Our case study results indicate that the interactive visualisation technique is a viable, fast and effective approach for exploring recommendations that increase the sustainability of the supply chain.

Original languageEnglish
Article number113431
JournalDecision support systems
Early online date28 Oct 2020
Publication statusPublished - Jan 2021


  • Circular economy
  • Circular supply chain management
  • Exploration
  • Industrial symbiosis
  • Recommender systems
  • Set visualisation


Dive into the research topics of 'Exploring recommendations for circular supply chain management through interactive visualisation'. Together they form a unique fingerprint.

Cite this