Augmenting Human Resource Management with Artificial Intelligence: Towards an Inclusive, Sustainable, and Responsible Future (Contributions to Management Science) - Tapa dura

Acerca del autor

Dr. Aizhan Tursunbayeva is an Associate Professor at the University of Naples "Parthenope" (Italy). Her previous roles include Assistant Professor at the University of Twente in the Netherlands, Management Consultant at KPMG Advisory in Italy, and HRM Manager at HSBC Bank in Canada, the UK, Poland, and Kazakhstan. An expert in HRM and HR technologies, including People Analytics, Artificial Intelligence (AI), and their ethical implications, she has published extensively in these areas. In 2023, she received the Emerald Literati Award for Outstanding Paper on the ethics of People Analytics and was contracted by the International Labor Organization as an expert on Responsible AI and the Future of Work. She also coordinates several internationally relevant projects and serves as an Associate Editor for the European Management Journal's AI and Future of Work and Organizations section. 

De la contraportada

The potential of Artificial Intelligence (AI) to reshape Human Resource Management (HRM) practices is profound, but it also presents challenges that require careful consideration, particularly in terms of ethics, inclusivity, and sustainability. However, knowledge about whether and how this transformation is actually occurring remains limited. This book aims to provide a theoretically informed and empirically grounded examination of AI's role in shaping the future of HRM and work.

The book explores HRM technologies using a configurational approach, which views HRM practices as a blend of operational, relational, and transformational elements. It consistently addresses the dual perspectives on AI--its transformative potential and the concerns surrounding its disruptive impact on the future of work and management. In doing so, the book draws on ongoing original research, including an analysis of vendors' value propositions and insights from scholars and experts. Real-life applications of AI in HRM are also thoroughly covered, offering insights into algorithmic management, AI-driven relational HRM configurations, and AI-augmented HRM.

The book dedicates significant attention to the ethical implications of AI and how they can be addressed through Responsible AI principles. Ultimately, it establishes a framework for future research and practice, serving as a crucial reference for scholars, practitioners, and policymakers.