风险识别对卡塔尔公共部门IT项目交付的影响

Mutaz Oshi, Emad AbuShanab
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引用次数: 0

摘要

未管理的项目风险可能危及项目的成功和结果。为了帮助项目经理克服或减少项目风险的影响,已经建立了几种风险管理模型和标准。本研究旨在评估已确定的IT项目风险因素对卡塔尔公共部门项目交付(满意度)的影响。通过查阅相关文献,编制了一份包含已确定危险因素的问卷。从目标样本中收集数据,并使用SPSS和SmartPLS进行分析。结果显示了九个确定的风险因素中的每一个与因变量项目交付(满意度)的影响。假设分析显示,五个假设H1、H2、H5、H6、H8支持文献对项目交付(满意度)有积极影响。这些因素分别是利益相关者、业务流程、组织、技术和计划,p值分别为0.030、0.002、0.028、0.023和0.001。另外四个假设H3、H4、H7、H9与文献不一致,p值(不显著)高,对项目交付(满意度)产生负向影响。这些因素分别是项目管理、人力资源、预算和外部,p值分别为0.164、0.605、0.096、0.225。研究人员建议项目管理专业人员将这五个确定的具有积极影响的风险因素视为最关键的IT风险因素;研究结果可以作为基础和指导方针,帮助项目管理界避免通常与风险管理不善和项目失败相关的项目陷阱。
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The impact of Risk Identification on IT Project Delivery in Qatar Public Sector
Unmanaged project risks can jeopardize the project's success and outcome. To assist project managers in overcoming or reducing the impact of project risk, several risk management models and standards have been established. This study is aimed to assess the impact of identified IT project risk factors on project delivery (satisfaction) in Qatar’s public sector. A questionnaire consisting of identified risk factors was developed by reviewing related literature. Data were collected from the target sample and analyzed using SPSS and SmartPLS. The results demonstrated the impact of each of the nine identified risk factors with the dependent variable project delivery (satisfaction). The hypotheses analysis showed five hypotheses H1, H2, H5, H6, and H8 supporting the literature with a positive impact on project delivery (satisfaction). Those factors are namely, the Stakeholders, Business Process, Organizational, Technical, and Schedule with significant P-values of 0.030, 0.002, 0.028, 0.023, and 0.001, respectively. The other four hypotheses H3, H4, H7, and H9 are inconsistent with the literature, with (insignificant) high P-values resulting in a negative impact on project delivery (satisfaction). Those factors are namely, Project Management, Human resources, Budget, and External with P-values 0.164, 0.605, 0.096, 0.225, respectively. The researcher recommends that project management professionals consider the five identified risk factors with a positive impact as the most critical IT risk factors; the research findings serve as a foundation and guideline to help the project management community avoid project pitfalls commonly associated with poor risk management and project failure.
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