肯尼亚中部裂谷地区捐助者资助的水和卫生项目的项目管理实践和实施

Patrose Sempeyian Leshinka, Dr. Dancun Nyaberi
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引用次数: 0

摘要

这项研究的总目标是确定项目管理做法对执行肯尼亚中央裂谷地区捐助者资助的水和卫生项目的影响。这项研究特别力求确定利益攸关方参与、项目小组培训、监测和评价以及风险管理对肯尼亚中部裂谷地区捐助者资助的水和卫生项目的实施的影响。该研究基于四个理论,即;利益相关者理论、团队理论、动态能力理论和弹性理论。本研究采用描述性调查设计。目标人口是全部160名项目成员,包括来自捐助机构的项目经理、顾问、项目执行小组和任务经理,负责中央裂谷地区16个捐助者资助的供水和卫生项目。利用统计公式,得到了62个元素的样品。然后,在捐助者资助的每个供水和卫生项目中,对上述工作人员进行了有目的的抽样。本研究采用问卷调查的方式从目标人群中收集数据。进行了中试,以检查用于数据收集的仪器的可靠性。数据分析使用描述性和推理统计与社会科学统计软件包(SPSS) 25.0版的帮助。研究表明,当项目管理实践的所有变量,干系人参与,项目团队培训,项目评估和风险管理,对因变量项目实施进行多元回归时,有一个99.6%的拟合良好的可观察模型,因此,如果累积实践,项目实施的良好预测指标。该研究进一步发现,利益相关者参与是肯尼亚中央裂谷地区捐助者资助的水和卫生项目实施的重要预测因素(p=0.046< 0.05)。进一步,研究发现项目团队培训对项目实施具有不显著的正向预测作用(p=0.800 > 0.05)。项目评价是项目实施的显著预测因子(p=0.024< 05),角色风险管理是项目实施的显著预测因子(p= 0.21 <05)。回归分析显示,风险管理变量(β = 7.633)的影响最大,其次是利益相关者参与变量(β = 1.192),其次是评价变量(β = 0.116),最后是项目团队培训变量(β = -0.672)。因此,该研究建议,肯尼亚捐助者资助的水和卫生项目的项目执行小组应更加强调项目风险管理,因为它对项目执行的影响最大。该研究建议,水项目的捐助者应维持项目团队的培训,因为它对项目实施没有显着影响,但它对整体模型拟合有显着贡献。这项研究的结果对政府来说意义重大,因为它的目的是通过使捐助者提供的资金物有所值来刺激经济增长。这项研究还将为项目管理人员提供机会,确定关键的项目管理做法以及这些做法如何影响捐助者资助的水和卫生项目的执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Project Management Practices and Implementation of Donor Funded Water and Sanitation Projects in Central Rift Region, Kenya
The general objective of this study was to establish the influence of project management practices on implementation of donor funded water and sanitation projects in the Central Rift region, Kenya. The study specifically sought to establish the influence of stakeholder involvement, project team training, monitoring and evaluation and risk management on implementation of donor funded water and sanitation projects in the Central Rift region, Kenya. The study was anchored on four theories, namely; stakeholder theory, team theory, dynamic capabilities theory and the theory of resilience. For purposes of this study, a descriptive survey design was employed. The target population were all 160 project members comprising project managers, consultants, project implementation teams and task managers from donor agencies in 16 donor funded water and sanitation projects in the central rift region. Using statistical formulae, a sample of 62 elements was obtained. Purposive sampling was then used in targeting the said staff in each of the donor funded water and sanitation projects. This study used questionnaires in collecting data from the target group. Pilot-test was conducted to check the reliability of the instruments used for data collection. Data was analyzed using both descriptive and inferential statistics with the aid of the Statistical Package for Social Sciences (SPSS) version 25.0. The study revealed that when all the variables for project management practices, stakeholder involvement, project team training, project evaluation and risk management, were multi regressed against the dependent variable, project implementation, there was an observable model of good fit at 99.6% hence, a good predicator of project implementation if cumulatively practiced. The study further found that stakeholder involvement is a significant predicator (p=0.046<.05) of project implementation in donor funded water and sanitation projects in the Central Rift region, Kenya. Further, the study established that project team training is an insignificant positive predicator (p=0.800 >.05) of project implementation. Project evaluation is a significant predictor (p=0.024<.05) of project implementation and role risk management was found to be a significant predictor (p= 0.21 <05) project implementation. Regression analysis revealed that risk management variable (β = 7.633) has the greatest influence, followed by stakeholder engagement variable (β = 1.192) then followed by evaluation variable (β = 0.116) and lastly project team training variable (β = -0.672).Therefore, the study recommended that, project implementation teams for donor funded water and sanitation projects in Kenya should emphasize more on project risk management as it has the most significant influence on project implementation. The study recommends that the donors of the water projects should sustain, project team training, as much it does not significantly influence project implementation, but it contributes significantly to the overall model fit. The findings of this study will be significant to the government since it aims to stimulate economic growth through attaining value for money for funds sourced from donors. The study will also provide opportunities for project managers to identify key project management practices and how they influence implementation of donor funded water and sanitation projects.
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