| Title |
Innovative and Sustainable Supply Chain Model in Industry 4.0 Based on Moroccan Industrial Field |
| ID_Doc |
65895 |
| Authors |
El Maalmi, A; Jenoui, K; El Abbadi, L |
| Title |
Innovative and Sustainable Supply Chain Model in Industry 4.0 Based on Moroccan Industrial Field |
| Year |
2021 |
| Published |
|
| DOI |
10.1109/IEEM50564.2021.9672836 |
| Abstract |
Moroccan industrial enterprises are leading many changes inside their supply chain to take advantage of industry 4.0 transformation. This optic aims to ensure sustainability and innovation simultaneously. Or, one of the most crucial operations is to enhance innovation inside supply chain processes and to improve supply chain resilience and sustainability regarding the changeable environment. Therefore, in this paper, we develop an integrated business model considering six constructs: supply chain integration, supply chain orientation, competition capability, business continuity management, environmental sustainability, and finally human and social approach. Then we apply and validate the business model to the case of large and medium Moroccan enterprises. The main objective is to study the impact of the considered constructs with the mediation of industry 4.0 technological systems in achieving supply chain innovation and sustainability. Our paper is built of four sections, the first lists previous studies performed in some countries, the second presents the proposed business model, the third describes the experimental data collection, and in the last part, we discuss the results of the data validation process, followed by a conclusion and work perspectives. |
| Author Keywords |
Industry 4.0 technologies; Digital transformation; Business model; Innovation; Sustainability |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000821855600025 |
| WoS Category |
Engineering, Industrial; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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