确定非营利组织提案写作中的潜在变量:两个结构方程模型的结果

Sarah K. Gunning
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引用次数: 1

摘要

本研究描述了两个结构方程模型在非营利行业内测试的结果。先前的研究要求研究人员评估提案开发的复杂性,包括协作和基于计算机的创作。复杂的相互作用很难直接测量,但因子分析可以解释潜在变量。本研究采用结构方程模型来衡量提案作者的“工作满意度”和“对知识管理系统贡献的可能性”。研究人员使用了一项包含126个项目的调查,从筹款专业组织的成员那里收集了580份回复。“人际信任”、“在组织中的角色”、“通过书籍/文章学习”、“与管理层的关系”和“组织过程”这五个重要途径解释了25.6%的“工作满意度”方差。三个因素的路径在“对KM的可能性贡献”中占21.1%的方差。:“与管理层的关系”、“知识获取习惯”和“组织中的角色”。这项工作有助于初步了解沟通过程对提案写作过程的影响。
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Identifying latent variables in nonprofit proposal writing: results of two structural equation models
This study describes the results of two structural equation models tested within the nonprofit industry. Prior research requested that researchers assess complexity of proposal development, including collaborative and computer-based authoring. Complex interactions are difficult to directly measure, but factor analysis can account for latent variables. The study uses structural equation modeling to measure contributors to proposal writers' "Job satisfaction" and "Likeliness to contribute to knowledge management system." The researcher used a 126-item survey to collect 580 responses from members of professional organizations for fundraisers. Five significant pathways explained 25.6% of variance in "Job satisfaction": "Interpersonal trust," "Role in organization," "Learning via books/articles," "Relationship with management," and "Organizational processes." Three factors' pathways accounted for 21.1% of variance within "Likeliness to contribute to KM.": "Relationship with management," "Knowledge acquisition habits," and "Role in organization." This work contributes to a preliminary understanding of how communication processes contribute to the proposal writing process.
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