The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors
Abstract
Abstract This work makes the case for integrating two industrial waves that promise to re-shape current patterns of production and consumption: Industry 4.0 and environmentally-sustainable manufacturing. We argue that, although these two trends cannot be considered an industrial revolution, Industry 4.0-associated technologies nevertheless have the unique potential to unlock environmentally-sustainable manufacturing. Productive synergy between Industry 4.0 and environmentally-sustainable manufacturing relies on understanding the role played by eleven critical success factors, which organisations should consider carefully when simultaneously implementing Industry 4.0 and environmentally-sustainable manufacturing. As this is one of the first works to address whether or not Industry 4.0 can synergistically boost environmentally-sustainable manufacturing – with an emphasis on the critical success factors that can pose challenges and opportunities to this process – we also propose an integrative framework containing twelve research propositions. We hope this will stimulate the debate on the intersection of manufacturing waves, in particular the integration of Industry 4.0 and environmentally-sustainable manufacturing.
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Cites
Strategic alignment: Leveraging information technology for transforming organizations
Henderson, J. C., & Venkatraman, H. (1999) · IBM Systems Journal · doi:10.1147/sj.1999.5387096 · Cited by 3,498
Stakeholder pressure and the adoption of environmental practices: The mediating effect of training
Sarkis, J., Gonzalez‐Torre, P., & Adenso‐Diaz, B. (2010) · Journal of Operations Management · doi:10.1016/j.jom.2009.10.001 · Cited by 1,518
Can big data and predictive analytics improve social and environmental sustainability?
Dubey, R., Gunasekaran, A., Childe, S. J., Papadopoulos, T., Luo, Z., Wamba, S. F., & Roubaud, D. (2019) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2017.06.020 · Cited by 860
Shao, Z., Feng, Y., & Hu, Q. (2017) · Information & Management · doi:10.1016/j.im.2017.01.005 · Cited by 119
Cited by
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Industry 4.0 technologies: Implementation patterns in manufacturing companies
Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019) · International Journal of Production Economics · doi:10.1016/j.ijpe.2019.01.004 · Cited by 2,958
The expected contribution of Industry 4.0 technologies for industrial performance
Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018) · International Journal of Production Economics · doi:10.1016/j.ijpe.2018.08.019 · Cited by 2,201
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,115
Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.05.009 · Cited by 1,440
Metadata
- Authors
- de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M.
- Venue
- Technological Forecasting and Social Change
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 132
- Pages
- 18-25
- ISSN
- 0040-1625 (ISSN-L)
- OpenAlex
- W2792445274
- Cited by
- 1,043
- References
- 4
- FWCI
- 73.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- de Sousa Jabbour, A. B. L., Jabbour, C. J. C., Foropon, C., & Godinho Filho, M. (2018). When titans meet – Can industry 4.0 revolutionise the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change. https://doi.org/10.1016/j.techfore.2018.01.017
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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