Workforce Analytics

Workforce Analytics

A Global Perspective

Minbaeva, Dana; Edwards, Martin R.; Levenson, Alec; Huselid, Mark A.

Taylor & Francis Ltd

04/2025

240

Mole

Inglês

9781032029009

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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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Workforce Analytics;Global;HR;Business success;People analytics