Fourth industrial revolution and the labour market : future-proofing work in the innovation economy

By:

Johannessen , Jon-Arild

Material type: Text

TextSeries: Routledge studies in the economics of innovationPublication details: Routledge 2023 New YorkDescription: 185pISBN:

9781032564296

Subject(s):

DDC classification:

338.064 JOH

Summary: The book explores the new competence emerging from AI and intelligent robots, arguing that high technology utility and dissemination will future-proof jobs and make workers among the highest-paid. It also highlights the importance of making education more compatible with new technology, enabling graduates to access secure, better-paid jobs. The book uses conceptual generalization, scenario-based thinking, and historical economic methodology to benefit academic scholars and researchers.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Jammu General Stacks	Non-fiction	338.064 JOH (Browse shelf(Opens below))	Available		IIMJ-8743

Total holds: 0

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Previous	338.064 GAL Advanced introduction to service innovation	338.064 IND Industry 4.0 : implications for management, economics and law	338.064 INN Innovation in crisis management	338.064 JOH Fourth industrial revolution and the labour market : future-proofing work in the innovation economy	338.064 KRA Future of community : how to leverage Web3, AI, and emerging technologies to grow your business	338.09 STE The industrial revolution in world history	338.092 BHA Entrepreneurs who built India: Gujarmal Modi the resolute industrialist	Next

1. The jobs of the future 2. Competence creation 3. Competence co-ordination

The book explores the new competence emerging from AI and intelligent robots, arguing that high technology utility and dissemination will future-proof jobs and make workers among the highest-paid. It also highlights the importance of making education more compatible with new technology, enabling graduates to access secure, better-paid jobs. The book uses conceptual generalization, scenario-based thinking, and historical economic methodology to benefit academic scholars and researchers.

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