Future of Work. How Artificial Intelligence will impact the Future Workplace (PDF)
Perceptions of SMEs and a Roadmap to successful Implementation
(Sprache: Englisch)
Master's Thesis from the year 2019 in the subject Business economics - Business Management, Corporate Governance, grade: 1.1, University of Applied Sciences Saarbrücken, language: English, abstract: This master thesis gives an overview of the topic...
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Master's Thesis from the year 2019 in the subject Business economics - Business Management, Corporate Governance, grade: 1.1, University of Applied Sciences Saarbrücken, language: English, abstract: This master thesis gives an overview of the topic Artificial Intelligence (AI) and analyses respective effects on jobs, related employee tasks and skills. The practical empirical research examines the perceptions of AI in Saarland SMEs focusing on the actual use and their opinion of AI changing the workplace.
Qualitative interviews with SMEs in Saarland was compared to existing surveys done concerning AI. 20 interviews have been conducted in total and data from the surveys was analysed with an explaining methodology as a confirmatory research approach.
Results of the empirical research show a lack of knowledge in both AI organizational implementation and the evaluation of existing job profiles impacted by AI. A two-pillar roadmap, consisting of Technology and People, is developed by taking existing evaluation models into account and developing an own AI implementation Canvas. This thesis is a contribution to the currently rarely discussed topic of AI in Saarland.
Artificial Intelligence (AI) is not a new topic and has been researched since the 1940s. But, due to technological improvements like increased computer power at reduced costs and the occurence of Big Data, it is the most promising technology driving digitalization.
Qualitative interviews with SMEs in Saarland was compared to existing surveys done concerning AI. 20 interviews have been conducted in total and data from the surveys was analysed with an explaining methodology as a confirmatory research approach.
Results of the empirical research show a lack of knowledge in both AI organizational implementation and the evaluation of existing job profiles impacted by AI. A two-pillar roadmap, consisting of Technology and People, is developed by taking existing evaluation models into account and developing an own AI implementation Canvas. This thesis is a contribution to the currently rarely discussed topic of AI in Saarland.
Artificial Intelligence (AI) is not a new topic and has been researched since the 1940s. But, due to technological improvements like increased computer power at reduced costs and the occurence of Big Data, it is the most promising technology driving digitalization.
Bibliographische Angaben
- Autor: Aline Hamm
- 2019, 1. Auflage, 111 Seiten, Englisch
- Verlag: GRIN Verlag
- ISBN-10: 3346068439
- ISBN-13: 9783346068439
- Erscheinungsdatum: 21.11.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Dateiformat: PDF
- Größe: 3.48 MB
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Sprache:
Englisch
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