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    Workforce Analytics: A Global Perspective

    Workforce Analytics by Edwards, Martin R.; Minbaeva, Dana; Levenson, Alec;

    A Global Perspective

    Series: Global HRM;

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      • Publisher's listprice GBP 54.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        27 830 Ft (26 505 Ft + 5% VAT)
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    27 830 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher Routledge
    • Date of Publication 1 April 2025

    • ISBN 9781032029009
    • Binding Paperback
    • No. of pages258 pages
    • Size 246x174 mm
    • Weight 480 g
    • Language English
    • Illustrations 22 Illustrations, black & white; 2 Halftones, black & white; 20 Line drawings, black & white; 13 Tables, black & white
    • 700

    Categories

    Short description:

    This book provides a comprehensive sweep of key issues facing the evolving discipline of workforce analytics. The Editors, all globally recognised in this field, have curated a collection of unique pieces that introduce workforce analytics, discuss its place in the HR sphere and systematically work through the key practical challenges.

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    Long description:

    Workforce Analytics: A Global Perspective provides a comprehensive sweep of key issues facing the evolving discipline of workforce analytics. The editors, all globally recognized in this field, have curated a collection of unique pieces that introduce workforce analytics, discuss its place in the HR sphere, and systematically address the key practical challenges faced by analytics experts working in and with organizations. Drawing on the combined expertise of the editors and a range of practicing expert contributors, the book provides a current, cutting-edge, and multi-perspective survey of workforce analytics. The contributions examine why workforce analytics is important, how it can help contribute to business success, and the considerations businesses need to address to maximize the benefit of this important HR expertise. A breakthrough text in a game-changing emerging discipline, the book is an essential resource for practitioners, students, and researchers in workforce analytics, people analytics, and human resource management more broadly.



    Workforce Analytics is a must-read for leaders and HR professionals looking to harness data for strategic decision-making. The authors provide a clear framework for leveraging workforce analytics to drive business success, enhance employee well-being, and adapt to an evolving workplace. With research-backed insights and real-world applications, this book is an invaluable guide to optimizing human capital.



    Dr. Marshall Goldsmith, Thinkers50

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    Table of Contents:

    PART 1: WORK FORCE ANALYTICS (WFA)


    1 Introduction and book overview


    2 Theoretical frameworks for workforce analytics


    3 Data collection and analysis


    PART 2: ANALYTIC TECHNIQUES


    4.0 Considering techniques in workforce analytics


    4.1 Causal inference in HR analytics with Directed Acyclic Graphs


    4.2 Latent Class and Latent Profile Analysis


    4.3 Efficient ways to leverage untapped data sources: Using natural language processing to assess work attitudes and perceptions


    4.4 Decision trees and HR analytics: An example


    4.5 Organizational network analysis (ONA) at the Broad Institute


    4.6 Machine learning tools to support strategic HR decision-making


    4.7 Connecting employee survey data to organizational performance indicators using micro-macro multilevel regression


    4.8 Key takeaways


    PART 3: WFA APPLICATIONS AND FUTURE


    5 Implementation and change management


    6 Ethics and workforce analytics


    7 Building the workforce analytics function


    8 The future of workforce analytics

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