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Lecture Notes on Multidisciplinary Industrial EngineeringVolume Part F201, 2020, Pages 52-59

Career Expectations of Generation Z(Book Chapter)

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  • Faculty of Technical Sciences, Department of Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad, Serbia

Abstract

In this study we address the importance of understanding career expectations of members of Generation Z. This generation represents the demographic cohort after the Millennials with a starting birth years in the mid-1990s to mid-2000s. Most of Generation Z have used the Internet since a young age and are comfortable with technology and social media. The research was conducted on 357 under graduate students currently enrolled in University of Novi Sad. The results indicate that life-balance, expertise, learning and freedom are found as the most important career aspects for Generation Z students. Gender differences in career expectations were examined. We make several suggestions for how human resources professionals can adjust and evolve current HR practices in order to respond to requests of their future employees. Since there were no Generation Z studies conducted in Serbia, these results give an important insight into current position of Serbian students in relation to findings from similar studies conducted in other countries. © 2020, Springer Nature Switzerland AG.

Author keywords

Career expectationsGeneration ZHuman resource management

Funding details

Funding sponsor Funding number Acronym
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja47028MPNTR
Ministarstvo Prosvete, Nauke i Tehnološkog RazvojaMPNTR
  • 1

    Acknowledgements. This paper is supported by the Ministry of Education, Science and Technological Development of the Republic of Serbia, Grant no. 47028.

  • ISSN: 25225022
  • Source Type: Book Series
  • Original language: English
  • DOI: 10.1007/978-3-030-43616-2_6
  • Document Type: Book Chapter
  • Publisher: Springer Nature

  Milić, B.; Faculty of Technical Sciences, Department of Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovića 6, Novi Sad, Serbia;
© Copyright 2023 Elsevier B.V., All rights reserved.

Cited by 1 document

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(2024) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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