Language:

Managing Generation Z: Motivation, Engagement and Loyalty

2023 selection and editorial matter, Joanna Nieżurawska, Radosław Antoni Kycia and Agnieszka Niemczynowicz; individual chapters, the contributors ;ISBN: 9781032406091 ;ISBN: 1032406097 ;ISBN: 9781032406084 ;ISBN: 1032406089 ;ISBN: 1003353932 ;ISBN: 9781003353935 ;EISBN: 9781000867831 ;EISBN: 1003353932 ;EISBN: 1000867838 ;EISBN: 9781000867824 ;EISBN: 100086782X ;EISBN: 9781003353935 ;DOI: 10.4324/9781003353935

Full text available

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Managing Generation Z: Motivation, Engagement and Loyalty
Author: Niemczynowicz, Agnieszka ; Nieżurawska, Joanna ; Kycia, Radosław Antoni ; Kycia, Radosław Antoni ; Niemczynowicz, Agnieszka ; Nieżurawska-Zając, Joanna
Subjects: Business and Management ; Economics, Finance, Business and Management ; engagement at workplace; generation Z; hygge; Machine Learning; Python; work-life balance ; KJMV2 Personnel and human resources management ; KJMV6 Research and development management ; Management and management techniques ; Management of specific areas ; Management: leadership and motivation ; Organizational theory and behaviour ; thema EDItEUR
Description: Generation Z (Gen Z) is the young generation born between the mid-1990s and 2010s. They are now entering the market and starting their first jobs. Therefore, managers must shape the company workplace environment to encourage young employees to work efficiently and connect their future with the company. Only then will both managers and employees share mutual satisfaction from collaboration and aim at the common target, which should be the prosperity of the company. This book presents research results and techniques for analysing the working expectations and needs of Gen Z. The analyses were made in various countries in Europe: The Czech Republic, Latvia, Poland, and Portugal. The book contains chapters that present the analysis results and technical chapters that outline modern methods of analysis of management data, including tutorial chapters on machine learning, which currently makes a strong appearance in research in various disciplines. This volume will be of interest to researchers, academics, practitioners, and students in the fields of management studies, research methods, and human resource management.
Related Titles: Routledge Open Business and Economics
Publisher: Routledge
Creation Date: 2023
Format: 140
Language: English
Identifier: ISBN: 9781032406091
ISBN: 1032406097
ISBN: 9781032406084
ISBN: 1032406089
ISBN: 1003353932
ISBN: 9781003353935
EISBN: 9781000867831
EISBN: 1003353932
EISBN: 1000867838
EISBN: 9781000867824
EISBN: 100086782X
EISBN: 9781003353935
DOI: 10.4324/9781003353935
Source: OAPEN
DOAB: Directory of Open Access Books

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Managing Generation Z: Motivation, Engagement and Loyalty

Searching Remote Databases, Please Wait