| Title |
A framework of sustainability drivers and externalities for Industry 4.0 technologies using the Best-Worst Method |
| ID_Doc |
18841 |
| Authors |
El Baz, J; Tiwari, S; Akenroye, T; Cherrafi, A; Derrouiche, R |
| Title |
A framework of sustainability drivers and externalities for Industry 4.0 technologies using the Best-Worst Method |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.jclepro.2022.130909 |
| Abstract |
Despite the increasing academic interest in Industry 4.0, only a minority of studies has examined the antecedents and outcomes of sustainability-oriented Industry 4.0 initiatives. In this paper, the authors investigate how sustainability drivers might be taken into account in Industry 4.0 technologies' implementation. Industry 4.0 sustainability drivers and externalities are identified based on a comprehensive review of the literature and categorized based on experts' surveys. The authors employ the Best-Worst Method to prioritize the sustainability drivers and externalities. The results highlight the role of management support and commitment in sustainability-oriented Industry 4.0 initiatives and underline their economic and socio-environmental externalities. Based on the findings, the authors develop a self-assessment framework of Industry 4.0 sustainability drivers and externalities with a readiness index for organizations willing to adopt such initiatives. The authors suggest approaching sustainability-oriented Industry 4.0 implementation through three main stages: approach, deployment, and results (externalities). In doing so, this study contributes to knowledge in the Industry 4.0 and sustainability fields by defining the factors influencing both disciplines and by proposing an integrative readiness model. |
| Author Keywords |
Industry 4.0; Sustainability drivers; Externalities; Best-worst method; Multi-criteria decision making; Environmental and social governance |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000793184900009 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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