| Title |
Green Virtual Enterprise Breeding Environments Enabling the RESOLVE Framework |
| ID_Doc |
22260 |
| Authors |
Romero, D; Noran, O; Bernus, P |
| Title |
Green Virtual Enterprise Breeding Environments Enabling the RESOLVE Framework |
| Year |
2017 |
| Published |
|
| DOI |
10.1007/978-3-319-65151-4_53 |
| Abstract |
Shifting towards Circular Economy will have significant implications on how value offerings are created, delivered and their residual value recovered as well as how shared value is created and captured by various actors in a collaborative (business) network where information, materials, water, energy and cash will flow in different cycles and based on various dynamic interactions within a closed-loop value system. In this context, Green Virtual Enterprise Breeding Environments (GVBEs) will act as long-term strategic networks of green enterprises and their related support institutions established with the aim of providing the necessary conditions, including common (circular) operating principles and infrastructure, for increasing their members' preparedness towards rapid configuration of Forward- and Reverse-Green Virtual Enterprises (GVEs) in order to provide a dynamic model for operations management of closed- loop supply networks. This paper focuses on how GVEs and their breeding environments can contribute to enable McKinsey's RESOLVE framework of six core-principles, and corresponding actions, for circularity: REstore/REgenerate, Share, Optimise, Loop, Virtualise and Exchange. |
| Author Keywords |
Collaborative networked organisations; Green virtual enterprises; Breeding environments; Sharing economy; Circular Economy; Collaborative consumption; Industrial ecology; Sustainability; Shared value |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000508209200053 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Interdisciplinary Applications |
| Research Area |
Computer Science |
| PDF |
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