Managing Generation Z : Motivation, Engagement and Loyalty

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 compa...

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Main Authors: Agnieszka Niemczynowicz, Radosław Antoni Kycia, Joanna Nieżurawska
Format: Book
Published: Routledge 2023
Subjects:
Online Access:View this record in EBSCOhost
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          Joanna Nieżurawska
      sertl: Routledge Open Business and Economics
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          Agnieszka Niemczynowicz
          Radosław Antoni Kycia
          Joanna Nieżurawska
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        Generation Z--Europe
        Personnel management--Europe
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          BUSINESS & ECONOMICS / Human Resources & Personnel Management
          BUSINESS & ECONOMICS / General
          BUSINESS & ECONOMICS / Management
          BUSINESS & ECONOMICS / Motivational
          BUSINESS & ECONOMICS / Leadership
          BUSINESS & ECONOMICS / Organizational Development
          BUSINESS & ECONOMICS / Research & Development
          Generation Z--Europe
          Personnel management--Europe
      ab: 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.The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-NonCommercial-No Derivatives 4.0 license.
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