專案管理知識體系之相關技術(巧)對工程績效、業主滿意度與專案成功之影響

ASSESSING THE IMPACTS OF MANAGEMENT TECHNIQUES ON ENGINEERING PERFORMANCE, CLIENT SATISFACTION AND PROJECT SUCCESS

周瑞生(Jui-Sheng Chou) ； 楊仲均(Jung-Chun Yang)

《營建管理季刊》 90期 (2012/03) Pp. 39-57

https://doi.org/10.6505/CMJ-2012-90-39-19

摘要

在專案導向型產業中，工程執行績效、業主滿意度及專案成功已成為影響企業在永續經營、營運成長與利潤累積之重要因素。本文透由相關文獻從專案管理知識體系指南(PMBOK)歸納營建從業人員在執行專案中可能使用之管理技術(巧)與工具，探究工程實務應用中其對執行績效、業主滿意度與專案成功之因果影響。研究方法中，導入基因演算法優化結構方程模型界定與適配度，藉以提升搜尋結構體複雜替代路徑之效率，修正後之模型假設則採用驗證性分析與路徑分析法分別檢測構念及其衡量指標與構念間之量化影響。研究結果發現相較於PMBOK內之其它知識領域，溝通管理與採購管理在工程實務上對於執行績效、業主滿意度與專案成功有直接/間接且具統計意義之影響。實證分析的成果可作為日後國內工程單位優先採用專案管理技術(巧)之依據，期能強化重點資源分配，改善工程效益、提升業主滿意度及促進專案成功。

關鍵字

專案管理知識體系 ； 管理技術(巧)與工具 ； 工程績效 ； 業主滿意度 ； 專案成功 ； 結構方程模型 ； 基因演算最佳化

並列摘要

In recent years, organizations have applied project-oriented management knowledge, processes, techniques, tools and skills to deliver on-time, within budget, and high quality products or services. However, effectiveness of the project management body of knowledge (PMBOK) for improving engineering performance (EP), stakeholder satisfaction, and project success in the construction industry has not been empirically tested. The association between PMBOK practice and construction project outcomes needs further clarification. This study examines the relationships among PMBOK, EP, customer satisfaction, and project success for implementing infrastructure and building construction. Experienced interviewees from private engineering firms and public agencies were asked to complete a well-structured questionnaire, and the responses were analyzed via structural equation modeling. Particularly, a genetic algorithm is utilized to identify the optimal linkages of PMBOK and EP. The analytical results indicate the appropriateness of prioritizing the practice of PMBOK in the construction industry. The findings of this study can be used by project managers and educators to tailor PMBOK to their unique needs and to deign effective training programs for construction specialists.

並列關鍵字

Project Management Body of Knowledge ； Project Performance ； Customer Satisfaction ； Project Success ； Structural Equation Modeling ； Evolutionary Optimization