Title |
Digitalisation as an Enabler of Circular Economy |
ID_Doc |
438 |
Authors |
Antikainen, M; Uusitalo, T; Kivikytö-Reponen, P |
Title |
Digitalisation as an Enabler of Circular Economy |
Year |
2018 |
Published |
|
DOI |
10.1016/j.procir.2018.04.027 |
Abstract |
Digitalisation can boost the transformation towards a more sustainable circular economy. It can help closing the material loops by providing accurate information on the availability, location and condition of products. Digitalisation also enables more efficient processes in companies, helps minimise waste, promotes longer life for products and minimises the transaction costs. Thus, digitalisation boosts the circular economy business models by helping to close the loop, slow the material loop and narrow the loop with increased resource efficiency. However, there are still many challenges to be solved in order to gain the desired benefits and gaps hindering digital technology-aided circular business models implementation. The existing literature that discusses the opportunities and challenges of digitalisation is still very limited, and therefore, our exploratory and qualitative study seeks to clarify these perspectives. There is a significant research gap in understanding those challenges and finding solutions to them. In our study, we identified challenges related to adopting novel business models, data collection and management, collaboration and competence requirements. The virtualization of products and processes, collaboration with stakeholders and utilising digitalization were highlighted to be major opportunities in adopting CE-based business models. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 10th CIRP Conference on Industrial Product-Service Systems. |
Author Keywords |
Circular economy; business models; digitalisation; qualitatative study |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
EID |
WOS:000547340900008 |
WoS Category |
Engineering, Industrial |
Research Area |
Engineering |
PDF |
https://doi.org/10.1016/j.procir.2018.04.027
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