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Data-Driven Talent Management Practices for Eco-Innovation in State-Owned Enterprises
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Author(s): Sulaiman Olusegun Atiku (Namibia University of Science and Technology, Namibia & Walter Sisulu University, South Africa), Doreen K. Menjengua (Namibia University of Science and Technology, Namibia), Andrew Jeremiah (Namibia University of Science and Technology, Namibia)and Hylton James Villet (Namibia University of Science and Technology, Namibia)
Copyright: 2024
Pages: 26
Source title:
Data-Driven Decision Making for Long-Term Business Success
Source Author(s)/Editor(s): Sonia Singh (Toss Global Management, UAE), S. Suman Rajest (Dhaanish Ahmed College of Engineering, India), Slim Hadoussa (Brest Business School, France), Ahmed J. Obaid (University of Kufa, Iraq)and R. Regin (SRM Institute of Science and Technology, India)
DOI: 10.4018/979-8-3693-2193-5.ch025
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Abstract
This study explores the influence of data-driven talent management practices on eco-innovation in state-owned enterprises. A literature review was conducted to examine the role of people data, HR metrics, and people analytics in enhancing talent management practices and eco-innovation in state-owned enterprises. Findings revealed that people data is essential for making talent decisions and developing effective talent retention strategies. Additionally, two key drivers of eco-innovations were identified and grouped into external and internal drivers. External drivers include environmental regulations, competition pressures, and customers' demands for eco-friendly products and services. Internal drivers are organizational capabilities, technological capabilities, and corporate social responsibility. Therefore, data-driven talent development interventions are necessary for advancing organizational and technological capabilities to boost eco-innovation performance in state-owned enterprises.
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