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Coles AI-Driven Sustainable Human Resource Management: Opportunities and Challenges at Village Green Shopping Centre in Vernon, BC
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This innovative book presents a human-centered examination of how AI can support sustainable human resource (HR) management. It analyzes the intersection of AI and sustainability across core HR functions, from recruitment to employee well-being and diversity.
Drawing on global case studies, expert contributors demonstrate AI’s capacity to enhance efficiency, reduce resource consumption, minimize bias, and strengthen employee well-being. They also combine environmental HR policy and digital transformations into one holistic framework, going beyond the traditional scholarly approach of treating them as separate entities. Chapters provide a practical guide for AI integration, addressing critical concerns over algorithmic transparency, data privacy, unequal access, and environmental costs. Adhering to specialized ethical guidelines, the contributing authors argue that successful AI integration will come from human-centered designs which prioritize participatory implementation and align with social and environmental values.
This is an essential resource for scholars and students of business, employment relations, knowledge management, and disruptive technologies. HR practitioners and organizational managers will also benefit from its actionable guidance for leveraging AI tools.
This innovative book presents a human-centered examination of how AI can support sustainable human resource (HR) management. It analyzes the intersection of AI and sustainability across core HR functions, from recruitment to employee well-being and diversity.
Drawing on global case studies, expert contributors demonstrate AI’s capacity to enhance efficiency, reduce resource consumption, minimize bias, and strengthen employee well-being. They also combine environmental HR policy and digital transformations into one holistic framework, going beyond the traditional scholarly approach of treating them as separate entities. Chapters provide a practical guide for AI integration, addressing critical concerns over algorithmic transparency, data privacy, unequal access, and environmental costs. Adhering to specialized ethical guidelines, the contributing authors argue that successful AI integration will come from human-centered designs which prioritize participatory implementation and align with social and environmental values.
This is an essential resource for scholars and students of business, employment relations, knowledge management, and disruptive technologies. HR practitioners and organizational managers will also benefit from its actionable guidance for leveraging AI tools.
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