City Research Online

An effective uncertainty based framework for sustainable industrial product-service system transformation

Erkoyuncu, J. A., Roy, R. ORCID: 0000-0001-5491-7437, Shehab, E. , Durugbo, C., Khan, S. & Datta, P. (2019). An effective uncertainty based framework for sustainable industrial product-service system transformation. Journal of Cleaner Production, 208, pp. 160-177. doi: 10.1016/j.jclepro.2018.09.182

Abstract

Industrial Product-Service Systems (IPS2) can provide insights to enhance the environmental sustainability and lower environmental impact. However, its successful realisation for preventing the production of waste, while increasing efficiencies in the uses of energy and human capital remains a highly convoluted problem. This research article aims to address this issue by presenting an innovative uncertainty-based framework that can be used to assist in achieving increased sustainability within the context of IPS2. The developed framework explains the drivers for decision-making and cost to enable sustainability improvements in transforming to industrial services. This is based on academic literature, and multiple case studies of seven industrial companies with over 30 h of semi-structured interviews. The validation of the framework through two case studies demonstrates that uncertainty management can enable resource efficiency and offer sustainable transformation to service provision.

Publication Type: Article
Publisher Keywords: Industrial services, Contracts, Uncertainty, Sustainability, Transformation
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
T Technology > TJ Mechanical engineering and machinery
Departments: School of Science & Technology
SWORD Depositor:
[thumbnail of 1-s2.0-S0959652618329111-main.pdf]
Preview
Text - Published Version
Available under License Creative Commons: Attribution International Public License 4.0.

Download (1MB) | Preview

Export

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Downloads

Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login