政府部门的绿色牧场?菲律宾政府雇员公共服务动机的因素结构

Randy Tudy
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摘要

在政府部门工作既是一个获得更广阔牧场的梦想,也是一个怀着崇高理想和价值观服务社会的机会。本研究的主要目的是建立菲律宾背景下的 PSM 因素结构。共随机抽取了 456 名政府雇员,他们分别来自菲律宾的三个大岛,即吕宋岛、米沙鄢群岛和棉兰老岛。采用探索性因子分析和确认性因子分析对数据进行了分析。探索性因素分析的结果验证了最初的 40 个项目和 4 个指标的-PSM,但版本更短,只有 3 个基本因素,共 11 个项目,即自我牺牲(6 个项目)、对公共利益的承诺(2 个项目)和对决策的吸引力(3 个项目)。此外,确认性因子分析验证了模型的拟合度,并确定了潜在变量之间的重要关系,这表明该模型能够衡量菲律宾的公共服务动机。因此,除了绿色牧场的诱惑之外,研究结果还强调了较高的公共服务价值是激励因素。研究结果可以帮助菲律宾政府调整各机构的人力资源开发计划,同时最大限度地利用已确定的激励因素来提高个人生产力和公共服务效率。
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Greener pasture in the government sector? A factor structure on public service motivation among government employees in the Philippines
Working in the government is both a dream of securing a greener pasture and the opportunity to serve society with a noble intention and values. The main purpose of this study is to establish the factor structure of PSM in the Philippine context. A total of 456 randomly selected government employees from different agencies representing the three big islands of the country, namely Luzon, Visayas, and Mindanao, willingly participated in the survey. Data were analyzed using Exploratory Factor Analysis and Confirmatory Factor Analysis. The results of the Exploratory Factor Analysis validated the original 40-item and four-indicator-PSM but with a shorter version with only three underlying factors comprising 11 items, namely, Self-Sacrifice with six items, Commitment to Public Interest with two items, and Attraction to Policy Making with three items. Furthermore, Confirmatory Factor Analysis validated the model's goodness of fit and established a significant relationship among the latent variables, signifying the ability to measure public service motivation in the Philippine context. Hence, aside from the lure of a greener pasture, the results highlight the higher public service values as motivating factors. The findings can help the Philippine government tailor the agencies’ respective human resource development programs while maximizing the identified motivation factors to propel individual productivity and effectiveness in public service.
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