Model of relationships between corporate social responsibility, human resources management, and artificial intelligence

Abstract

Research background: The research explores the interrelationship between human resource management (HRM), corporate social responsibility (CSR), and artificial intelligence (AI) in the modern business environment. It examines the potential of AI to optimise HR processes while ensuring ethical considerations and social responsibility are integrated into corporate strategies.

Purpose of the article: The aim of the article is to identify and quantify the causal relationships between human resource management, corporate social responsibility, and the perception of artificial intelligence within the company as key aspects of sustainable business development.

Methods: Research was conducted in the Czech business environment based on 451 responses from HR managers in medium- to large-sized companies. A uniquely designed questionnaire was created to capture the respondents' subjective attitudes in September 2024. The hypotheses were evaluated using the application of structural equation modelling (SEM).

Findings & value added: The findings confirm that CSR activities exert a clear and positive impact on HRM, whereas AI, despite its significant potential to enhance HR processes, is not yet fully implemented or utilised at an optimal level. In addition, we have also analysed the relationship between AI and CSR, and empirical findings indicate that AI can significantly support CSR activities as these two domains had the potential to enhance the competitiveness of the organisation. Our results emphasise the necessity for policy makers and managers to enhance CSR focused HRM practices and to support guidelines to ensure the ethical deployment of AI as the ethical and social implications of implementing AI in HR and CSR present another key challenge, including data bias and privacy concerns.

Keywords

corporate social responsibility, empirical research, artificial intelligence, human resources management

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