TY - JOUR
T1 - Exploring recommendations for circular supply chain management through interactive visualisation
AU - van Capelleveen, Guido
AU - van Wieren, Jesse
AU - Amrit, Chintan
AU - Yazan, Devrim Murat
AU - Zijm, Henk
N1 - Funding Information:
This research is funded by European Union's Horizon 2020 Program under grant agreement No. 680843 . We thank Rijkswaterstaat (The Netherlands) for providing waste statistics from ‘Landelijk Meldpunt Afval (LMA)’ to develop and populate the IS Identification App.
Funding Information:
This research is funded by European Union's Horizon 2020 Program under grant agreement No. 680843. We thank Rijkswaterstaat (The Netherlands) for providing waste statistics from ?Landelijk Meldpunt Afval (LMA)? to develop and populate the IS Identification App.
Publisher Copyright:
© 2020 The Author(s)
PY - 2021/1
Y1 - 2021/1
N2 - 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.
AB - 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.
KW - Circular economy
KW - Circular supply chain management
KW - Exploration
KW - Industrial symbiosis
KW - Recommender systems
KW - Set visualisation
UR - http://www.scopus.com/inward/record.url?scp=85096387861&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2020.113431
DO - 10.1016/j.dss.2020.113431
M3 - Article
AN - SCOPUS:85096387861
SN - 0167-9236
VL - 140
JO - Decision support systems
JF - Decision support systems
M1 - 113431
ER -