Does Servant Leadership Enhance Employee Creativity and Performance?

IF 3.6 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Organizational and End User Computing Pub Date : 2023-04-21 DOI:10.4018/joeuc.321656
Shagufta Zada, J. Khan, M. Zada, Imran Saeed, Zhan Jun
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引用次数: 2

Abstract

Grounding on social learning theory, this study investigates the link between servant leadership, employee creativity, and work role performance. To examine the proposed model, the authors collected data from 289 nurses and doctors through a multi-wave (i.e., a time-lag) survey. In this study, servant leadership positively affects employee creativity and work role performance, and knowledge sharing partially mediates the relationship between servant leadership, employee creativity, and work role performance. The results show that self-efficacy directly moderates the positive relationship between servant leadership and knowledge sharing, and indirectly affects the link between servant leadership, employee creativity, and work role performance via knowledge sharing.
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服务型领导能提高员工的创造力和绩效吗?
本研究以社会学习理论为基础,探讨仆人领导、员工创造力与工作角色绩效之间的联系。为了检验所提出的模型,作者通过多波(即时滞)调查收集了289名护士和医生的数据。在本研究中,仆人式领导正向影响员工创造力和工作角色绩效,而知识共享部分中介了仆人式领导、员工创造力与工作角色绩效之间的关系。结果表明,自我效能感直接调节了仆人领导与知识共享之间的正向关系,并通过知识共享间接影响了仆人领导、员工创造力和工作角色绩效之间的联系。
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来源期刊
Journal of Organizational and End User Computing
Journal of Organizational and End User Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
6.00
自引率
9.20%
发文量
77
期刊介绍: The Journal of Organizational and End User Computing (JOEUC) provides a forum to information technology educators, researchers, and practitioners to advance the practice and understanding of organizational and end user computing. The journal features a major emphasis on how to increase organizational and end user productivity and performance, and how to achieve organizational strategic and competitive advantage. JOEUC publishes full-length research manuscripts, insightful research and practice notes, and case studies from all areas of organizational and end user computing that are selected after a rigorous blind review by experts in the field.
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