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    The Art of Sustainable Performance

    A Model for Recruiting, Selection, and Professional Development

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    Author(s)
    Kodden, Bas
    Language
    English
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    Abstract
    This open access book revisits common notions on how to select and recruit the right employees. It reveals that the secret of successful individuals and teams lies in a combination of talent and four important performance indicators, offering an innovative approach that companies can fruitfully adopt. Bas Kodden has studied key performance indicators among over 1,100 executives, senior staff and professionals, including 50 CEOs from leading Dutch companies. His findings put the present recruitment and selection procedures used by many prominent companies in a new light. Moreover, the book not only addresses theory; it also offers a practically applicable model for recruitment, selection and professional development. In closing, the book includes a variety of questionnaires and checklists for HR professionals and executives whose goal is to build sustainable and successful teams and organizations.
    URI
    https://library.oapen.org/handle/20.500.12657/39977
    Keywords
    Human Resource Development; Employee Health and Wellbeing; Knowledge Management; Human Resource Management; Management; Open access book; HR performance indicators; KPIs for employee productivity; Sustainable performance indicators; Talent recognition; Intrinsic motivation; Self-efficacy; Personnel & human resources management; Knowledge management
    DOI
    10.1007/978-3-030-46463-9
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2020
    Imprint
    Springer
    Series
    SpringerBriefs in Business,
    Classification
    Personnel and human resources management
    Knowledge management
    Pages
    120
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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