Masterarbeit, 2017
59 Seiten, Note: 2
This master thesis examines the disruptive substitution of human capital by IT. It investigates the increasing use of automation and artificial intelligence in the service sector, which traditionally has been less affected by technological advancements than the primary and secondary sectors. The thesis aims to understand the impact of this trend on unemployment rates and the future of employment.
The introduction sets out the problem formulation, the objective of the Master Thesis, and the course of investigation. The glossary of terms defines key concepts such as substitution, disruption, information technology, and unemployment. The main part delves into the analysis of unemployment statistics and trend analysis, exploring the impact of IT on job markets. It also presents a comprehensive examination of key studies such as Frey's and Osborne's “The Future of Employment” study, the OECD's \"Risk of Automation for Jobs in OECD Countries\" Report, and the WEF's \"The Future of Jobs\" Report. The chapter concludes with a detailed comparison of these studies, identifying commonalities and differences.
The core keywords of this master thesis include: human capital, IT, automation, artificial intelligence, disruptive technology, service sector, unemployment, future of employment, economic impact, technological advancement, labor market, job displacement, and digital transformation. The thesis explores the dynamic interplay between these keywords, analyzing the substitution of human capital by IT and its implications for the future of work.
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