The analysis of engagement at the workplace of Generation Z – machine learning in management
Authors:
- Agnieszka Niemczynowicz,
- Radosław Antoni Kycia
Abstract
This chapter leads readers through basic methods of machine learning that can be used in management research: correlation analysis, PCA (principal component analysis), clustering: k-means and GMM (Gaussian mixture model). These methods allow researchers to discover some relations in the samples/data. They are general enough to be applied in many other management research topics. After completing this chapter, readers will know how to use these methods in their own research and will have a set of code snippets that can be used in her/his analysis. Therefore, this chapter is invaluable for students and researchers willing to use modern machine learning techniques in their research. The full code with descriptions/comments will be published under open-source license and will be publicly available on GitHub.
- Record ID
- CUTae7c97fda56349b19be831af903a4c15
- Publication type
- Publication categories
- ; ;
- Author
- Pages
- 83-103
- Other elements of collation
- il.; Bibliografia (na s.) - 103; Bibliografia (liczba pozycji) - 7
- Book
- Nieżurawska Joanna, Joanna Nieżurawska Kycia Radosław Antoni, Radosław Antoni Kycia Niemczynowicz Agnieszka Agnieszka Niemczynowicz (eds.): Managing Generation Z : motivation, engagement and loyalty, Routledge Open Business and Economics, 2023, New York, London, Routledge, Routledge, 125 p., ISBN 978-1-003-35393-5 (ebk). DOI:10.4324/9781003353935 Opening in a new tab
- Keywords in English
- data science, machine learning, management, Generation Z
- DOI
- DOI:10.4324/9781003353935-6 Opening in a new tab
- URL
- https://doi.org/10.4324/9781003353935 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 50
- Score source
- publisherList
- Score
- Publication indicators
- = 0
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTae7c97fda56349b19be831af903a4c15/
- URN
urn:pkr-prod:CUTae7c97fda56349b19be831af903a4c15
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.