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数字时代员工对技术不确定性的适应:基于工作需求-资源理论的探索

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

IEEE Transactions on Engineering Management · 2023
被引 37
ABS 3

中文导读

基于工作需求-资源理论,研究感知技术不确定性如何通过技术压力降低员工工作满意度,并发现合作生产工作情境和技能灵活性作为调节因素,对员工幸福感有复杂交互影响。

Abstract

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.

数字化转型员工适应工作需求-资源理论技术压力金融科技