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A Research Agenda for HR Analytics

Vicenc Fernandez (Herausgeber)

Buch | Hardcover
226 Seiten
2024
Edward Elgar Publishing Ltd (Verlag)
978-1-0353-0108-9 (ISBN)
CHF 157,10 inkl. MwSt
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This Research Agenda explores the crucial role of HR analytics in modern organizations, examining diverse methodologies, data sources and ethical considerations. It demonstrates how HR analytics can be used to navigate the complex challenges of digital transformation and implementing data-driven practices in human resource management.
Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary.

This Research Agenda explores the crucial role of HR analytics in modern organizations, examining diverse methodologies, data sources and ethical considerations. It demonstrates how HR analytics can be used to navigate the complex challenges of digital transformation to implement data-driven practices in human resource management.



Adopting an interdisciplinary approach, expert contributing authors outline the extensive benefits of HR analytics for strategic decision-making, employee well-being and job security. They provide actionable frameworks and models to guide the implementation of analytics in organizational settings, focusing in particular on ethical concerns such as data protection and eliminating discrimination. The Research Agenda covers important topics including algorithm management, maturity models, knowledge creation, and how to develop trust. Ultimately, it charts the course for future research and practice, highlighting both key strengths and areas for progress in the field.



A Research Agenda for HR Analytics is essential reading for students and scholars of business, human resource management, and organizational psychology. It is also an invaluable resource for HR professionals and analysts seeking to enhance their organization’s operational efficiency.

Edited by Vicenc Fernandez, Professor of Management and Business Analytics, TechTalent-Lab, Department of Management, Universitat Politècnica de Catalunya - BarcelonaTech, Spain

Contents
1 Introduction: the future research agenda for HR analytics 1
Vicenc Fernandez
PART I Linking HR analytics and business
2 From operational reporting to prescriptive analytics: moving up the value chain 8
Wayne F. Cascio
3 People analytics maturity and organizational performance value chains 25
Janet H. Marler and Lexy Martin
PART II Researching on HR analytics
4 From business analytics to HR analytics: common conceptual and methodological grounds 40
Thomas Kiu, Barbara Bechter, Bernd Brandl and Alex Lehr
5 Co-creating knowledge between business and academia: looking for joint optimization of both rigor and relevance 54
Jaap Paauwe, Tina Peeters and Karina Van De Voorde
6 A strategic view of HR analytics: applying the scientific method and systems diagnostics 69
Alec Levenson
7 A multidisciplinary retrospective of HR analytics 82
Jiarui Yin and Eva Gallardo-Gallardo
PART III Implementation and use of HR analytics
8 Linking HR analytics with business: exploring its adoption, implementation, and evaluation 110
Na Fu and Steven McCartney
9 Ethics in people analytics research: a multi-disciplinary perspective 139
Aizhan Tursunbayeva and Luigi Moschera
10 Trust and control amidst intelligent technology at work: what we can learn from online labor platforms 158
Simon Schafheitle and Jeroen Meijerink
11 Human resource analytics to address job insecurity and employee resilience in organizational transformation 175
Alessandro Margherita, Sergio López Bohle and Felipe Muñoz Medina
12 Data sources and methods in HR analytics 189
Clotilde Coron

Erscheint lt. Verlag 28.12.2024
Reihe/Serie Elgar Research Agendas
Verlagsort Cheltenham
Sprache englisch
Maße 156 x 234 mm
Themenwelt Informatik Office Programme Outlook
Wirtschaft Betriebswirtschaft / Management Personalwesen
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
ISBN-10 1-0353-0108-3 / 1035301083
ISBN-13 978-1-0353-0108-9 / 9781035301089
Zustand Neuware
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