Digital transformation as a double-edged sword: exploring the facilitating and overloading paths to employee work passion
Ye Yang, Ling Yuan, Songlin Yang, Chaorui Shen
Hunan University Beijing Jiaotong University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Purpose Based on the job demands-resource theory and the dualistic model of passion, this study explores the double-edged sword effect of digital transformation on employee work passion by constructing a dual-path model (i.e., the facilitating path and overloading path) as well as the crucial moderating role of digital transformational leadership. Design/methodology/approach A three-wave design was used to collect quantitative data from 387 leader-subordinate dyads. Testing the hypotheses was conducted through multiple regression analysis and moderated mediation regression analysis. Findings The results indicate that: (1) In the facilitating path, digital transformation positively affects employees' harmonious passion through psychological availability, (2) In the overloading path, digital transformation positively affects employees' obsessive passion by increasing their role overload and (3) Digital transformational leadership plays a moderating role in both paths, which strengthens the effect of facilitating path and alleviates the effect of overloading path. Originality/value This study elucidates the dual-path effects of digital transformation on employee work passion through an overarching theoretical framework, thereby reconciling previous inconsistent research findings. Furthermore, it reveals the differential boundary effects of digital transformational leadership within this dual-path mechanism, enriching both the conceptualization and empirical investigation of this emerging construct in digital era.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
社会科学Educational Leadership and Innovation
Cyberloafing and Workplace Behavior · Human Resource and Talent Management
参考文献 71
此处列出前 3 条
引用本文 4
按被引量排序,此处列出前 3 条