Management Implications for HR Analytics in Light of Systems Theory

Authors

  • Alexandre Ricardo Peres Universidade de São Paulo (USP)
  • Edson Luiz Riccio Universidade de São Paulo (USP), Université de Pau et des Pays de l'Adour (UPPA)
  • Fernando José Barbin Laurindo Universidade de São Paulo, USP

DOI:

https://doi.org/10.14571/brajets.v16.n2.307-329

Keywords:

HR Analytics, Information Technology, Systems Theory, Bibliometric Analysis, Human Resources Management, Workforce Analytics, People Analytics

Abstract

Since the 2000s, the HR Analytics field has experienced a steady growth in published works, with a variety of focus, but aiming the value added to HR Management. Recently, the literature has been increasingly focused on factors to be considered in HR Analytics frameworks, suggesting the question of “how” HR Analytics should be put into practice and drove by objectives; unlike initial (but still abundant) approaches of “what” should be done. This paper aims to address gaps that could help setting management resources, researching if there are relevant nuances in HR Analytics objectives that may imply in distinct ways to manage the activity. Two main approaches were combined: (i) a quantitative and qualitative analysis of recent publications and (ii) an approach under the Systems Theory constructs. HR Analytics definitions, approaches, underlying themes, related areas of study and academic gaps were analyzed from 231 publications in the Scopus database until 2021. The analysis highlighted main features of interest, which were clustered and drove to the drawing of distinct (but related) objectives and ways of manage HR Analytics. Moreover, comparisons with knowledge creation of correlated activities led to the proposition of a taxonomy as a driver to objectives and a research agenda.

Author Biographies

Alexandre Ricardo Peres, Universidade de São Paulo (USP)

Alexandre R. Peres is a PhD Student in the Production Engineering Department (USP). He has a MSc in Production Engineering, MBA in Operations, Products and Services Management from USP, Post-graduation from FGV-SP, B.S. Degree in Civil Engineering from USP. Currently is a visiting professor at Fundacao Dom Cabral for Business Analytics, People Analytics and Data-Driven Decision-Making. Former Head of a Decision Support System (DSS) at banking industry that run HR Analytics data products, he has as his main research interests Information Technology (IT) Strategy and Planning, IT Strategic Alignment, IT Governance, IT Management, Knowledge Management, Competitive Intelligence, Analytics, HR Strategy, HR Analytics, Systems Theory and Corporate Strategy.

Edson Luiz Riccio, Universidade de São Paulo (USP), Université de Pau et des Pays de l'Adour (UPPA)

Professor and Researcher of Business Information Systems and International Management at the Universidade de São Paulo - Brazil. Director of TECSI Research Center.  PHD in Management - Universidade de São Paulo. Msc in Business Information Systems, Universidade de São Paulo. International Management Program at Stanford University (USA) and NUS - National University of Singapore. Past Deputy Director of International Relations at FEA USP. Acted as CIO in international corporations and as a Senior Consultant in implementation of new technologies. Visiting Professor since 2004 in France -Université Pays D'Adour - Management School - Bayonne. Member of Scientific Committee of Eduniversal - Paris, France.

Fernando José Barbin Laurindo, Universidade de São Paulo, USP

Professor Fernando José Barbin Laurindo is a Full Professor in the Production Engineering Department (USP). B.S. Degree in Production Engineering and in Law from USP, MBA from FGV-SP, MSc in Production Engineering and PhD in Production Engineering from USP, Post-doctoral in Ingegneria Gestionale from Politecnico di Milano and Associate Professor Degree from USP.  Former Head of Production Engineering Department (USP) and Chairman of the Postgraduate Committee of Polytechnic School (USP). His main research interests:  Business Strategy, Information Technology (IT) Strategy and Planning, IT Strategic Alignment, IT Governance, IT Management, Knowledge Management, Competitive Intelligence, Artificial Intelligence, Analytics, Innovation, Enterprises Network, Collaboration and Cooperation.

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2023-08-27

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