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doi: 10.3390/data6110115
handle: 11367/100793
Big Data, the Internet of Things, and robotic and augmented realities are just some of the technologies that belong to Industry 4.0. These technologies improve working conditions and increase productivity and the quality of industry production. However, they can also improve life and society as a whole. A new perspective is oriented towards social well-being and it is called Society 5.0. Industry 4.0 supports the transition to the new society, but other drivers are also needed. To guide the transition, it is necessary to identify the enabling factors that integrate Industry 4.0. A conceptual framework was developed in which these factors were identified through a literature review and the analytical hierarchy process (AHP) methodology. Furthermore, the way in which they relate was evaluated with the help of the interpretive structural modeling (ISM) methodology. The proposed framework fills a research gap, which has not yet consolidated a strategy that includes all aspects of Society 5.0. As a result, the main driver, in addition to technology, is international politics.
Information Systems and Management, future development, Industry 4.0, sustainability, digitalization, Analytical hierarchy process; Digitalization; Future development; Industry 4.0; Interpretive structural modeling; Society 5.0; Sustainability, Computer Science Applications, Bibliography. Library science. Information resources, Society 5.0, analytical hierarchy process, Information Systems, Z
Information Systems and Management, future development, Industry 4.0, sustainability, digitalization, Analytical hierarchy process; Digitalization; Future development; Industry 4.0; Interpretive structural modeling; Society 5.0; Sustainability, Computer Science Applications, Bibliography. Library science. Information resources, Society 5.0, analytical hierarchy process, Information Systems, Z
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 32 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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