Can digital leadership transform AI anxiety and attitude in nurses?

Author:

Tarsuslu Sinan1ORCID,Agaoglu Ferhat Onur2ORCID,Bas Murat2ORCID

Affiliation:

1. Health Services School Erzincan Binali Yildirim University Erzincan Turkey

2. Department of Health Management Erzincan Binali Yildirim University Erzincan Turkey

Abstract

AbstractBackgroundThe lack of artificial intelligence applications in nursing education and the nursing profession in Turkey and the need for strategies for integrating artificial intelligence into the nursing profession continues. At this point, there is a need to transform the negative attitudes and anxiety that may occur in nurses.ObjectivesIt was aimed to reorganize the professional transformation in this parallel by analyzing the effect of digital leadership perception, which is explained as how nurses approach digital technologies and innovations and their awareness of how and with which methods they can use these technologies on artificial intelligence anxiety and attitude in the nursing profession.DesignThe study was designed as descriptive, correlational, and cross‐sectional.ParticipantsThe research was conducted by reaching 439 nurses working in hospitals operating in three different regions of Turkey by simple random sampling method.MethodsIn the first part of the data collection tool used in this study, digital leadership scale, artificial intelligence use anxiety, and artificial intelligence attitude scales were used, including questions determining the demographic information of nurses, their relationship with technology, artificial intelligence usage status and its importance in the profession.ResultsIt was determined that 29.8% of the nurses had a good relationship with technology, 66.3% knew about using artificial intelligence in health, and 27.3% wanted it to be more involved in their lives. It was determined that nurses' perceptions of digital leadership were at a medium level of 46.9% and a high level of 41.7%, 82.7% had a positive attitude towards artificial intelligence, and 82.7% had low or medium level anxiety when their artificial intelligence anxiety status was examined. There was a significant and negative relationship between digital leadership and AI anxiety (r = −0.434; p < 0.01), a significant and positive relationship between digital leadership and AI attitude (r = 0.468; p < 0.01), and a significant and negative relationship between AI attitude and AI anxiety (r = −0.629; p < 0.01). Finally, it was determined that nurses' perception of digital leadership indirectly affected AI anxiety through AI attitude (β = −0.230, 95% CI [−0.298, −0.165]).ConclusionIt is suggested that the anxiety and attitude towards artificial intelligence can be transformed positively with the effect of digital leadership, and in this parallel, the digital leadership phenomenon should be evaluated as a practical implementation strategy in integrating artificial intelligence into the nursing profession.Clinical RelevanceOur study showed that artificial intelligence attitude has a mediating role in the indirect effect of the perception of digital leadership in nursing on AI anxiety. It was determined that nurses' digital leadership perception, artificial intelligence anxiety, and artificial intelligence attitude differed significantly with demographic variables.

Publisher

Wiley

Reference46 articles.

1. Validity and reliability of the Turkish Adaptation of the Store Personality Scale;Çakıroğlu K. I.;Business & Management Studies,2020

2. A systematic literature review on common method bias;Çizel B.;Anatolia: Journal of Tourism Research,2020

3. Artificial intelligence anxiety of nurses and related factors;Çobanoğlu A.;Gümüşhane University Journal of Health Sciences,2023

4. Özyılmaz A. &Eser S.(2013).“What is Common Method Variance? How Can It Be Controlled?”. 21st National Management and Organization Congress Proceedings Book pp. 500–508.

5. Health Care Employees’ Perceptions of the Use of Artificial Intelligence Applications: Survey Study

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3