TY - JOUR
T1 - Future images of data in circular economy for textiles
AU - Luoma, Päivi
AU - Penttinen, Esko
AU - Tapio, Petri
AU - Toppinen, Anne
N1 - Funding Information:
The Metsämiesten Säätiö Foundation is gratefully acknowledged for funding Päivi Luoma's work in this research [grant numbers 20VE070MO , 21VE049KE ].
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/9
Y1 - 2022/9
N2 - Rapid expansion of digitalization and in the volume of data available constitutes a major driver toward circular economy. In the textile industry, with its vast quantities of waste and huge environmental impact, transformation toward such circularity is necessary but challenging. To explore how the use of data could support building sustainability-aligned pathways to circular economy of textiles, a study employing a two-round disaggregative Delphi approach (engaging 33 experts in the first round, in May 2021, and 26 in the second, in June 2021) articulated alternative images of the future. The three images, dubbed Transparency, Conflicting Interests, and Sustainable Textiles, imply that the role for data is intertwined with sustainability aspirations. The results highlight that exploiting data in pursuit of circular economy is a collaborative effort involving business value networks that include consumers and regulators. Availability and sharing of accountability-affording, meaningful data on textiles' life cycle and value network function as a key enabler. By working with the images developed, actors can better assess their circular-economy commitments, planned actions, and the consequences of these. Furthermore, the images provide a tool for mutual discussion of the development desired and of related responsibilities and uncertainties.
AB - Rapid expansion of digitalization and in the volume of data available constitutes a major driver toward circular economy. In the textile industry, with its vast quantities of waste and huge environmental impact, transformation toward such circularity is necessary but challenging. To explore how the use of data could support building sustainability-aligned pathways to circular economy of textiles, a study employing a two-round disaggregative Delphi approach (engaging 33 experts in the first round, in May 2021, and 26 in the second, in June 2021) articulated alternative images of the future. The three images, dubbed Transparency, Conflicting Interests, and Sustainable Textiles, imply that the role for data is intertwined with sustainability aspirations. The results highlight that exploiting data in pursuit of circular economy is a collaborative effort involving business value networks that include consumers and regulators. Availability and sharing of accountability-affording, meaningful data on textiles' life cycle and value network function as a key enabler. By working with the images developed, actors can better assess their circular-economy commitments, planned actions, and the consequences of these. Furthermore, the images provide a tool for mutual discussion of the development desired and of related responsibilities and uncertainties.
KW - Circular economy
KW - Data management
KW - Delphi method
KW - Digitalization
KW - Future images
KW - Textile industry
UR - http://www.scopus.com/inward/record.url?scp=85134383943&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2022.121859
DO - 10.1016/j.techfore.2022.121859
M3 - Article
AN - SCOPUS:85134383943
SN - 0040-1625
VL - 182
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
M1 - 121859
ER -