The DOI matches its Crossref record; 112 of the 112 references it cites were found in a registry or an index.
Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review
Open accessAbstract
Automation and digitalization, as long-term evolutionary processes, cause significant effects, such as the transformation of occupations and job profiles, changes to employment forms, and a more significant role for the platform economy, generating challenges for social policy. This systematic literature review aims to provide an overview of the research to date related to influences of the Industry 4.0 Revolution on human capital development and consumer behavior. A search on the Web of Science identified 160 papers that met the inclusion criteria. The major objectives aimed to identify: the main types of influences of the Industry 4.0 Revolution on human capital development and consumer behavior; the main opportunities and challenges for new directions in education associated with shifting the work environment; and the drivers for human capital development and consumer behavior through the lenses of the Industry 4.0 Revolution. The results revealed some key aspects for the development of human capital: information, new jobs, the Internet, technology, training, education, new skills, automation, communication, innovativeness, professionals, productivity, artificial intelligence, digitalization, e-recruitment, and the Internet of Things, as well as the main drivers of consumer behavior: information, e-commerce, digitalization, the Internet of Things, e-distribution, technology, digitalization, automation, personalized, performance, artificial intelligence, behavior intention, e-shopping, and data mining.
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Automation, artificial intelligence and future skills needs: An Irish perspective
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Metadata
- Authors
- Sima, V., Gheorghe, I. G., Subić, J., & Nancu, D.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-05-14
- Volume
- 12
- Issue
- 10
- Pages
- 4035
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3024362711
- Cited by
- 786
- References
- 112
- FWCI
- 24.50
- Type
- journal article
- Language
- en
- Open access
- gold
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