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Examining sustainable hospitality practices and employee turnover in Pakistan: The interplay of robotics awareness, mutual trust, and technical skills development in the age of artificial intelligence.
J Environ Manage
January 2025
School of Business Administration (MBA School), Zhejiang Gongshang University, Hangzhou, 310018, China; Modern Business Research Center of Zhejiang Gongshang University, China. Electronic address:
Integrating robots and artificial intelligence (AI) into workplaces is becoming increasingly prevalent across various sectors, including hospitality. This trend has raised concerns regarding employee anxiety and the potential for higher turnover intentions, particularly when AI technologies are perceived to undermine professional expertise. This study explores the relationship between awareness of robotics and AI and employee turnover intentions, framed within the Conservation of Resources Theory (COR).
View Article and Find Full Text PDFProduction scheduling with multi-robot task allocation in a real industry 4.0 setting.
Sci Rep
January 2025
Laboratoire d'Ingenierie des Systemes Physiques et Numeriques, 59046, Lille, France.
The demand for efficient Industry 4.0 systems has driven the need to optimize production systems, where effective scheduling is crucial. In smart manufacturing, robots handle material transfers, making precise scheduling essential for seamless operations.
View Article and Find Full Text PDFDevelopment of a Grape Cut Point Detection System Using Multi-Cameras for a Grape-Harvesting Robot.
Sensors (Basel)
December 2024
Laboratory of Bio-Mechatronics, Faculty of Engineering, Kitami Institute of Technology, Koentyo 165, Kitami Shi 090-8507, Hokkaido, Japan.
Harvesting grapes requires a large amount of manual labor. To reduce the labor force for the harvesting job, in this study, we developed a robot harvester for the vine grapes. In this paper, we proposed an algorithm that using multi-cameras, as well as artificial intelligence (AI) object detection methods, to detect the thin stem and decide the cut point.
View Article and Find Full Text PDFDigital technologies in nursing: An umbrella review.
Int J Nurs Stud
January 2025
Federal Institute for Occupational Safety and Health, Dresden, Germany. Electronic address:
Background: Digital technologies promise to reduce nurses' workload and increase quality of care. However, considering the plethora of single and review studies published to date, maintaining a comprehensive overview of digital technologies' impact on nursing and effectively utilizing available evidence is challenging.
Objective: This review aims (i) to map published reviews on digital nursing technologies, based on their aims and the specific technologies investigated, to synthesize evidence on how these technologies' uses is associated with (ii) nurses' work-related and organizational factors, professional behavior, and health and work safety and (iii) ethically relevant outcomes for people in need of care.
OCTOPUS: operation control system for task optimization and job parallelization via a user-optimal scheduler.
Nat Commun
November 2024
Computational Science Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea.
The material acceleration platform, empowered by robotics and artificial intelligence, is a transformative approach for expediting material discovery processes across diverse domains. However, the development of an operating system for material acceleration platform faces challenges in simultaneously managing diverse experiments from multiple users. Specifically, when it is utilized by multiple users, the overlapping challenges of experimental modules or devices can lead to inefficiencies in both resource utilization and safety hazards.
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