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1 – 2 of 2This study aims to discuss whether the lasting Confucian philosophy could be used in responding to the consequences of technological impacts on jobs in the Age of Robots from a…
Abstract
Purpose
This study aims to discuss whether the lasting Confucian philosophy could be used in responding to the consequences of technological impacts on jobs in the Age of Robots from a human resource management and development (HRMD) perspective.
Design/methodology/approach
Related literature concerning traditional Confucian philosophy and the power of Confucianism was examined. Key perspectives on this topic relating to smart technology were analyzed. Whether Confucian humanity could be used to promote ethical behavior and continuous improvement in the workplace in the Age of Robots was then discussed.
Findings
Three propositions were made: humans can better coexist with artificial intelligence (AI) and robots if humanity is valued, cultivated and practiced; some concepts of traditional Confucian philosophy can be applied to support management, employees and organizations to go through the technology-driven social change; and managements and human resource professionals can be the change agent and adopt Confucian paradigm for employees’ and organizational effectiveness in the Age of Robots.
Research limitations/implications
Future research on human–machine interactions and strategic plans to apply Confucian humanity on job restructuring in robotic workplace is recommended.
Practical implications
For organizational development implication, human resource professionals may identify business opportunities, develop human–machine interactions strategic plans, build out creative process and promote moral behaviors and ethical conduct with a growth mindset.
Social implications
For corporate social responsibility, management and human resource professionals can upskill and reskill employees to develop talents, avoid technology unemployment and advance their human skills to be competitive in the robotic workplace.
Originality/value
This study highlighted how human workers should work like a human, not as a robot, by building a lifelong character through a moral refinement process for self-fulfillment, social responsibility and social stability.
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Marc Gilbey, Shea Palmer, Louise Moody, Christopher Newton, Natasha Taylor and Ksenija Maravic da Silva
This study, which is a cross-sectional survey, aims to investigate health-care academics, clinicians and students’ perspectives of health-care simulation-based learning (SBL) and…
Abstract
Purpose
This study, which is a cross-sectional survey, aims to investigate health-care academics, clinicians and students’ perspectives of health-care simulation-based learning (SBL) and extended reality (XR) haptics use within health-care education. Participants’ views regarding the application, barriers and facilitators of SBL and XR haptics were explored.
Design/methodology/approach
The authors conducted an online international cross-sectional survey of 178 participants.
Findings
The survey found high health-care SBL use (n = 97, 55.1%) but low awareness (n = 48, 27.3%) or prior use of XR haptics (n = 14, 7.9%). Participants expressed interest in XR haptic technology emphasising its potential in SBL, particularly for understanding anatomy and physiology, enhancing clinical reasoning and consultation and practical skills.
Research limitations/implications
Whilst there was interest in XR haptics, few participants described previous experience of using this technology in SBL. A large percentage of the participants were UK-based. Most participants were from a nurse or physiotherapy professional background.
Practical implications
XR haptics is a developing technology for SBL in health-care education. Whilst there was clear interest from survey participants, further research is now required to develop and evaluate the feasibility of using this technology in health-care education.
Originality/value
Health-care students, educators and clinicians views on XR haptics have not previously been explored in the development and application of this technology. The findings of this survey will inform the development of XR learning scenarios that will be evaluated for feasibility in health-care SBL.
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