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Fusing Machine Learning and AI to Create a Framework for Employee Well-Being in the Era of Industry 5.0
16 references·0 citing·47 second hop
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References

  • 2018An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study1,061 cited
  • 2019Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy854 cited
  • 2021How Toxic Workplace Environment Effects the Employee Engagement: The Mediating Role of Organizational Support and Employee Wellbeing498 cited
  • 2023Encyclopedia of Quality of Life and Well-Being Research428 cited
  • 2022A Call to Action on Assessing and Mitigating Bias in Artificial Intelligence Applications for Mental Health263 cited
  • 2018Supervisor support and turnover in hotels138 cited
  • 2019An IoT System for Remote Health Monitoring in Elderly Adults through a Wearable Device and Mobile Application128 cited
  • 2022Artificial Intelligence as a Service, Economic Growth, and Well-Being107 cited
  • 2014Cultural diversity and subjective well-being65 cited
  • 2022Tailoring sustainability indicators to small and medium enterprises for measuring industrial sustainability performance43 cited
  • 2018Hope, religiosity, and subjective well-being37 cited
  • 2019Walking and Its Contribution to Objective Well-Being35 cited
  • 2023Hotel employees’ intention to stay through psychological contract fulfillment and positive emotions in post-lockdown era27 cited

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2024
Algorithm for child adoption process using artificial intelligence and monitoring system for children
18 cited
  • 2024ARTIFICIAL INTELLIGENCE – POWERED VIDEO CONTENT GENERATION TOOLS17 cited
  • 2023FACTORS INFLUENCING THE ENGAGEMENT OF MILLENNIAL EMPLOYEES IN SURABAYA-INDONESIA4 cited
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