Leadership Data-Driven and CBHRM: Interplay of Skills in Public Administration

Authors

  • Ginevra Gravili University of Bari "Aldo Moro" - DEMDI

DOI:

https://doi.org/10.34190/ecmlg.21.1.4300

Keywords:

Leadership Data-Driven, CBHRM, Skills, Public Administration

Abstract

The increasing complexity of public sector challenges needs a shift from intuition-based decision-making to evidence-based approaches, particularly in human resource management (Cho et al., 2023). This paradigm shift requires leaders able to leverage data analytics to manage strategically human resources within public administration (Magakwe, 2025) (Cho et al., 2023). The digital transformation in public sector needs to move beyond traditional practices to embrace new strategies for performance optimization (“Digital Transformation in Public Sector Human Resource Management,” 2024). This paper explores the interplay between data-driven and soft skills, examining how these elements facilitate efficient transformation programs and enhance public service delivery (Adie et al., 2024) (Bastidas et al., 2023). Specifically, it investigates how leaders in public administration need to integrate sophisticated data analytics and soft competency frameworks to support an adaptive and high-performing workforce (García, 2025) (Zervas & Stiakakis, 2024). The objective is to delineate the weight of the skills and competencies required for public
sector leaders to navigate the complexities of data-driven decision-making (Adie et al., 2024). This integration is crucial to raise a workforce capable of navigating and ensuring public sector development (Adie et al., 2024; Zervas & Stiakakis, 2024). This research will delve into the competencies required by Human Resource Directors within these highly adaptive and scalable organizations, particularly examining how a human-centric approach to digital leadership can foster an environment leading to innovation and efficiency in public service.

 

Author Biography

Ginevra Gravili, University of Bari "Aldo Moro" - DEMDI

Ginevra Gravili, PhD in Management and Organization, is Associate Professor at University Aldo Moro of Bari (Italy), currently qualified to the position of Full Professor (Italian Ministry of University and Research). She is adjunct professor of Organization Theory at University of Sapienza and she was professor of Organization Theory at University of Professor Salento, from 2002 to 2020. Her researches are focused on Big Data, HR analytics, sme’s, knowledge sharing, social recruitment, HRM of public administration, HRM and Health, ICT, social media communication, supply chain management and sustainability in HRM. These research activities have been documented in articles and books published with national and international editors. She is a member of the Cranet Network of HRM. Across 2017 and 2018 she has been visiting researcher at the East European Center for Research in Economics and Business of Timisora, in 2018 she has been visiting researcher at the Toulouse Business School – TBS – Toulouse, in 2022-23 she has been visiting researcher at Research Center of Organizational and Social Science of Institute of Polytechnic of Porto.

 

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Published

2025-11-04

Issue

Vol. 21 No. 1 (2025): The Proceedings of the 21st European Conference on Management Leadership and Governance, ECMLG 2025

Section

Academic Papers