Christina T Yuan, Alden Yuanhong Lai, Lauren E Benishek, Jill A Marsteller, Darshan Mahabare, Hadi Kharrazi, Sydney M Dy
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We used multivariable linear regression to estimate the relationship between an individual's job satisfaction and two network properties: (a) eigenvector centrality (a measure of the importance of an individual in a network) and (b) ego network density (a measure of the cohesiveness of an individual's network). We examined this relationship for both instrumental and expressive ties.</p><p><strong>Results: </strong>Individuals who were more central in the expressive network were less satisfied in their job, b = -0.40 (0.19), p < .05, whereas individuals who had denser instrumental networks were more satisfied in their job, b = 0.49 (0.21), p < .05.</p><p><strong>Conclusion: </strong>Workplace relationships affect worker well-being. Centrality in an expressive network may require greater emotional labor, increasing workers' risk for job dissatisfaction. 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引用次数: 6
摘要
背景:卫生保健工作者之间的社会关系可能是工作满意度的重要驱动因素;然而,这方面的研究是有限的。目的:我们使用社会网络方法收集描述两种类型社会关系的数据,(a)工具性关系(即,使工作成为可能的建议的交换)和(b)表达性关系(即,社会支持的交换),并将这些关系与工人的工作满意度联系起来。方法:我们调查了23家初级保健机构的456名临床医生和工作人员的社会网络和工作态度。我们使用多变量线性回归来估计个人工作满意度与两个网络属性之间的关系:(a)特征向量中心性(衡量个人在网络中的重要性)和(b)自我网络密度(衡量个人网络的凝聚力)。我们从工具性和表现性两方面考察了这种关系。结果:表达性网络中央性越强的个体工作满意度越低,b = -0.40 (0.19), p < 0.05;工具性网络中央性越强的个体工作满意度越高,b = 0.49 (0.21), p < 0.05。结论:职场关系影响员工的幸福感。表达性网络中的中心性可能需要更多的情绪劳动,从而增加员工对工作不满的风险。另一方面,密集的工具性网络可以通过加强工人获得充分信息、支持能力和信心来促进工作满意度。实践启示:提高工作满意度的努力应该考虑社会网络对员工幸福感的积极和消极影响。
A double-edged sword: The effects of social network ties on job satisfaction in primary care organizations.
Background: Social ties between health care workers may be an important driver of job satisfaction; however, research on this topic is limited.
Purpose: We used social network methods to collect data describing two types of social ties, (a) instrumental ties (i.e., exchange of advice that enables work) and (b) expressive ties (i.e., exchange of social support), and related those ties to workers' job satisfaction.
Methodology: We surveyed 456 clinicians and staff at 23 primary care practices about their social networks and workplace attitudes. We used multivariable linear regression to estimate the relationship between an individual's job satisfaction and two network properties: (a) eigenvector centrality (a measure of the importance of an individual in a network) and (b) ego network density (a measure of the cohesiveness of an individual's network). We examined this relationship for both instrumental and expressive ties.
Results: Individuals who were more central in the expressive network were less satisfied in their job, b = -0.40 (0.19), p < .05, whereas individuals who had denser instrumental networks were more satisfied in their job, b = 0.49 (0.21), p < .05.
Conclusion: Workplace relationships affect worker well-being. Centrality in an expressive network may require greater emotional labor, increasing workers' risk for job dissatisfaction. On the other hand, a dense instrumental network may promote job satisfaction by strengthening workers' access to full information, supporting competence and confidence.
Practice implications: Efforts to increase job satisfaction should consider both the positive and negative effects of social networks on workers' sense of well-being.
期刊介绍:
Health Care Management Review (HCMR) disseminates state-of-the-art knowledge about management, leadership, and administration of health care systems, organizations, and agencies. Multidisciplinary and international in scope, articles present completed research relevant to health care management, leadership, and administration, as well report on rigorous evaluations of health care management innovations, or provide a synthesis of prior research that results in evidence-based health care management practice recommendations. Articles are theory-driven and translate findings into implications and recommendations for health care administrators, researchers, and faculty.