| Title |
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance |
| ID_Doc |
62390 |
| Authors |
Zekhnini, K; Cherrafi, A; Bouhaddou, I; Benabdellah, AC; Bag, S |
| Title |
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance |
| Year |
2022 |
| Published |
International Journal Of Production Research, 60, 21 |
| DOI |
10.1080/00207543.2021.1994164 |
| Abstract |
In disrupted environments, the concept of digitalisation, viability, and sustainability have attracted considerable attention for the last decade. Digital, lean, and green capabilities have stimulated enormous advances in the development of industries. This paper discusses the current state of the art literature regarding sustainable and digital supply chain management performance. It reviews the relationship between digital technologies, lean, green, sustainability, and supply chain performance. A literature review approach, combined with a bibliometric analysis was adopted for robust field analysis. A set of 86 papers has been analysed and synthesised. The analysis of these papers has enabled the identification of the impact of Industry 4.0 technologies on the supply chain performance; the relationship of lean, green, and sustainability capabilities and digital supply chain; and the implications of the digital transformation of those capabilities. It presents a roadmap model integrating lean and green for viable, sustainable, and digital supply chain performance. The study is useful for academics and practitioners as it provides a roadmap framework and a solid background for integrating lean and green in the digital supply chain to achieve sustainable and viable performance as it outlines the necessity for incorporating the sustainability and viability performances in the digital supply chains. |
| Author Keywords |
Digital supply chain management; viability; lean; green; sustainability; key performances |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000713509600001 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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