The Impact of Job Challenge on Innovative Work Behaviour Among Healthcare Workers: Mediating Roles of End-User Computing Satisfaction and Presenteeism

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Human Behavior and Emerging Technologies Pub Date : 2025-05-23 DOI:10.1155/hbe2/9465306

Tianan Yang, Wenhao Deng, Yuhang Jin, Bo Peng, Jianwei Deng

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引用次数: 0

Abstract

Objectives: Under the guidance of the job demands-resources (JD-R) model, this study is aimed at exploring the relationship between job challenge, presenteeism, end-user computing satisfaction, and innovative work behaviour by establishing a chain mediation model.

Methods: We invited 617 healthcare workers from China to participate in the survey during 2020. We obtained 566 valid data by sifting out invalid data and used SPSS 26.0 and Amos 21.0 for correlation analysis and structural equation model testing to test the chained mediation model.

Results: The results show that presenteeism partially mediates job challenge and innovative work behaviour. The end-user computing satisfaction of the information system and the presenteeism of the medical staff play a chain mediating role between job challenge and innovative work behaviour.

Conclusions: This study provides policy suggestions and theoretical guidance for promoting innovative work behaviours of medical staff, improving medical service levels, and improving medical information systems reasonably and efficiently.

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工作挑战对医护人员创新工作行为的影响：终端用户计算满意度和出勤率的中介作用

目的：在工作需求-资源（JD-R）模型的指导下，通过建立链式中介模型，探讨工作挑战、出勤、终端用户计算满意度与创新工作行为之间的关系。方法：2020年共邀请617名中国卫生工作者参与调查。通过筛选无效数据，获得566条有效数据，使用SPSS 26.0和Amos 21.0进行相关分析和结构方程模型检验，对链式中介模型进行检验。结果：出勤对工作挑战和创新工作行为有部分中介作用。终端用户对信息系统的计算满意度和医务人员的出勤率在工作挑战与创新工作行为之间起连锁中介作用。结论：本研究为促进医务人员创新工作行为，提高医疗服务水平，合理高效地完善医疗信息系统提供政策建议和理论指导。

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来源期刊

Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)

CiteScore

17.20

自引率

8.70%

发文量

期刊介绍： Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.