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AI in Collective Bargaining and Dispute Resolution
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References

  • 2020Human Trust in Artificial Intelligence: Review of Empirical Research2,874 cited
  • 2021Artificial Intelligence and Management: The Automation–Augmentation Paradox2,718 cited
  • 2022Unlocking the value of artificial intelligence in human resource management through AI capability framework923 cited
  • 2022Artificial intelligence – challenges and opportunities for international HRM: a review and research agenda716 cited
  • 2019Industry 4.0 in Terms of Industrial Relations and Its Impacts on Labour Life162 cited
  • 2022Algorithmic management and collective bargaining118 cited
  • 2019Algorithms, artificial intelligence and automated decisions concerning workers and the risks of discrimination: the necessary collective governance of data protection85 cited
  • 2021Confronting Race and Other Social Identity Erasures: The Case for Critical Industrial Relations Theory84 cited
  • 2022Collective regulation and the future of work in the digital economy: Insights from comparative employment relations73 cited
  • 2023It takes two to code: a comparative analysis of collective bargaining and artificial intelligence34 cited
  • 2019Industrial Relations and the Limits of the State: Can a Left Labour Government Resurrect Comprehensive Sectoral Collective Bargaining and Restore Trade Union Power?23 cited
  • 2019Strikes, employee workplace representation, unionism, and industrial relations quality in European establishments22 cited
  • 2019The Industrial Relations of Training and Development

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  • 2024Workplace Artificial Intelligence Regulation in China: Between Efficiency and Social Stability12 cited
  • 2024HOW ARTIFICIAL INTELLIGENCE (A.I.) CAN INFLUENCE THE INSTITUTIONS OF COLLECTIVE BARGAINING AND THE INITIATION OF COLLECTIVE LABOUR DISPUTES AND STRIKES, AS AMENDED BY LAW NO. 367/2022 (AS AMENDED BY OUG NO. 42/2023)1 cited
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