How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention

Hao Yuan Chang, Tzu Ling Huang, May Kuen Wong*, Lun Hui Ho, Chieh Ni Wu, Ching I. Teng*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

36 Scopus citations

Abstract

Purpose: To examine how robot-enabled focus on professional task engagement and robot-reduced nonprofessional task engagement are related to nurses’ professional turnover intention. Design: We adopted a two-wave study design. Methods: We collected the first wave of data in a large hospital in Taiwan during October and November 2019 and the second wave between December 2019 and February 2020. We used the data collected from 331 nurses who participated in both waves. Findings: We found that robot-enabled focus on professional task engagement is positively related to nurses’ overall job satisfaction and perceived health improvement. Robot-reduced nonprofessional task engagement is positively related to nurses’ perceived health improvement. Both overall job satisfaction and perceived health improvement are negatively related to nurses’ professional turnover intention. Conclusions: Robots’ ability to focus nurses’ efforts in professional tasks may help improve nurses’ health and overall job satisfaction, and by extension reduce their turnover intention. Clinical Relevance: Nurse managers could suggest hospitals introduce robots, particularly those that can share nurses’ nonprofessional workload. This, meanwhile, could focus nurses’ efforts on professional task engagement.

Original languageEnglish
Pages (from-to)237-245
Number of pages9
JournalJournal of Nursing Scholarship
Volume53
Issue number2
DOIs
StatePublished - 03 2021

Bibliographical note

Publisher Copyright:
© 2021 Sigma Theta Tau International

Keywords

  • Job satisfaction
  • nurse
  • nursing job
  • robot
  • task engagement
  • turnover intention

Fingerprint

Dive into the research topics of 'How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses’ Turnover Intention'. Together they form a unique fingerprint.

Cite this