大型项目
概化理论
地铁列车时刻表
独创性
多级模型
运营管理
知识管理
心理学
工程类
计算机科学
社会心理学
发展心理学
系统工程
机器学习
创造力
操作系统
作者
Le Yun,Jingyuan Wan,Ge Wang,Ju Bai,Bing Zhang
出处
期刊:Engineering, Construction and Architectural Management
[Emerald (MCB UP)]
日期:2020-01-22
卷期号:27 (5): 1039-1064
被引量:25
标识
DOI:10.1108/ecam-12-2018-0566
摘要
Purpose The purpose of this paper is to analyze the relationship between the demographic characteristics of top management teams (TMTs) (i.e. age, gender, administrative level, senior management experience and educational background) and megaproject performance, with respect to schedule, cost, quality, safety and technological innovation. The results shed new light on the effectiveness of different types of TMT. Design/methodology/approach This paper collected secondary and objective data from 208 TMT members in 42 megaprojects and employed hierarchical regression analysis to test the research hypotheses. Findings The findings revealed that age has a significant influence on schedule performance; gender has a significant influence on safety performance; senior management experience has a significant influence on cost performance; and educational background has a significant influence on both schedule and technological innovation performance. However, this study did not find evidence of a significant relationship between the administrative level and megaproject performance. Research limitations/implications This paper mainly focused on China’s megaprojects, most of which are globally influential (e.g. Hong Kong–Zhuhai–Macao Bridge and Shanghai Expo), however this sampling approach still limits the generalizability of research findings to other contexts. Originality/value The results of this paper contribute to a better understanding of how management team capabilities translate into better project achievements. This paper also provides implications on the criteria for selecting top megaproject managers to optimize the composition of the TMT and realize better performance.
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