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dc.contributor.author
Hajzeri, Valmir
en
dc.date.accessioned
2020-06-10T11:49:03Z
dc.date.available
2020-06-11T00:00:44Z
dc.date.issued
2020-06-10
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/29536
dc.rights
Default License
dc.subject
AI
en
dc.subject
HR
en
dc.subject
Recruitment
en
dc.subject
Automation
en
dc.subject
Artificial intelligence
en
dc.subject
Talent acquisition
en
dc.title
Artificial Intelligence
en
heal.type
masterThesis
en_US
heal.secondaryTitle
The new recruiting era
en
heal.creatorID.email
valmirhajzeri@gmail.com
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Economics, Business Administration and Legal Studies, MSc in Management
en_US
heal.publicationDate
2019-06-17
heal.bibliographicCitation
Bradley, K., & Smyth, B. (2003). Personalized information ordering: a case study in online recruitment. In Research and Development in Intelligent Systems XIX (pp. 279-292). Springer, London. Rafter, R., Bradley, K., & Smyth, B. (2000, August). Automated collaborative filtering applications for online recruitment services. In International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (pp. 363-368). Springer, Berlin, Heidelberg. Färber, F., Weitzel, T., & Keim, T. (2003). An automated recommendation approach to selection in personnel recruitment. AMCIS 2003 proceedings, 302. Kolbjørnsrud, V., Amico, R., & Thomas, R. J. (2016). How artificial intelligence will redefine management. Harvard Business Review, 2.
en
heal.abstract
This dissertation was written as part of the MSc in Management, at the International Hellenic University. The purpose of this study was performed with the aim to gain further insight, understand and explain Artificial Intelligence, and how it can be applied in today's world. This paper presents the results of qualitative and quantitative research as article analysis, literature review and surveys done in artificial intelligence (AI) and respectively focusing on the effect it has in the human resources departments, particularly in recruitment. The theoretical framework of the study is more focused on the past, present, and future of AI, and how it can change the fight for talent acquisition in this fast-growing market. In this study the HR department is not discussed as a whole, but the thesis focuses more on the recruitment process. The thesis shows the effects of AI and what the recruiting process can look like in the future with its integration.
en
heal.advisorName
Katsaliaki, Korina
en
heal.committeeMemberName
Katsaliaki, Korina
en
heal.academicPublisher
IHU
en
heal.academicPublisherID
ihu
en_US
heal.numberOfPages
40
en_US


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