Employees’ Adaptation to Technology Uncertainty in the Digital Era: An Exploration Through the Lens of Job Demands–Resources Theory

协同生产 数字化转型 灵活性(工程) 知识管理 背景(考古学) 工作满意度 工作态度 适应(眼睛) 营销 业务 工作表现 公共关系 心理学 计算机科学 经济 管理 社会心理学 政治学 古生物学 万维网 生物 神经科学
作者
Nien-Chi Liu,Yung-Chun Wang,Yi‐Ting Lin
出处
期刊:IEEE Transactions on Engineering Management [Institute of Electrical and Electronics Engineers]
卷期号:71: 7286-7297 被引量:10
标识
DOI:10.1109/tem.2023.3264293
摘要

Digital transformation has created dramatic changes and led to extensive employee uncertainty in the workplace. This study aimed to explore how employees can positively respond and adapt to digital transformation and the uncertainty it creates. Based on the job demands–resources (JD-R) theory, we propose that perceived technology uncertainty may be a type of job demand which will increase employees' technostress and, sequentially, reduce job satisfaction. Moreover, we argue that two factors, coproduction work context and individual skill flexibility, should be included as additional demands and resources that jointly interact and influence employees' wellbeing. We explore our theoretical arguments in the financial services industry context, where the Fintech Revolution is undergoing. Data from a two-wave survey of 296 employees revealed that perceived technology uncertainty indeed threatens employees' subjective wellbeing through increased technostress. However, we found complex interactions among these three factors. While coproduction was originally an intensive job demand, it becomes a job resource to help employees cope with technostress if they have high skill flexibility. If employees can flexibly use their skills to face digital revolution challenges, the experiences acquired from coproduction jobs will be valuable for future work. Managerial implications were also discussed, along with directions for future research.
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