Li, Yan and Evans, Steve (2019) Business model innovation for eco-efficiency: an empirical study. In: APMS 2019: Advances in Production Management Systems. Towards Smart Production Management Systems. IFIP Advances in Information and Communication Technology, 566 . Springer, Cham, Switzerland, pp. 143-150. ISBN 978-3030299958 ISSN 1868-4238 (Print), 1868-422X (Online) (doi:10.1007/978-3-030-29996-5_17)

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Abstract

Business model has the potential to create value and capture value for companies, which is critical for their sustainable development [1]. The concept of eco-efficiency can be a useful concept to link an enterprise’s business with sustainable development as well as achieving long-term profits [2,3]. Extant lit- erature reveals that there is a need to study business model innovation and eco- efficiency under one text to achieve a win-win rationale to increase profits while reducing environmental impact [4,5]. This empirical study conducted 8-in-depth case studies with manufacturing companies across UK and China. The author synthesized the cases and concluded the measures of business model innovation for eco-efficiency in five categories, namely (1) Selling of service model, (2) Direct selling model, (3) Collaboration strategy, (4) Whole system design strat- egy, and (5) Technology renovation strategy. The empirical finding suggests the adaptation of strategy and exploitation of the technologies are essential to busi- ness model innovation when manufacturing companies seeking to implement eco-efficiency.

Item Type:	Conference Proceedings
Title of Proceedings:	APMS 2019: Advances in Production Management Systems. Towards Smart Production Management Systems
Uncontrolled Keywords:	business model innovation, eco-efficiency, sustainable business model
Subjects:	H Social Sciences > HB Economic Theory
Faculty / School / Research Centre / Research Group:	Faculty of Business Faculty of Business > Department of Systems Management & Strategy Faculty of Business > Networks and Urban Systems Centre (NUSC) Faculty of Business > Networks and Urban Systems Centre (NUSC) > Connected Cities Research Group
Related URLs:	Organisation
Last Modified:	24 Aug 2020 01:38
URI:	http://gala.gre.ac.uk/id/eprint/24818

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