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Exploring the missing link between top management team characteristics and megaproject performance

Author(s):




Medium: journal article
Language(s): English
Published in: Engineering, Construction and Architectural Management, , n. 5, v. 27
Page(s): 1039-1064
DOI: 10.1108/ecam-12-2018-0566
Abstract:

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.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1108/ecam-12-2018-0566.
  • About this
    data sheet
  • Reference-ID
    10576911
  • Published on:
    26/02/2021
  • Last updated on:
    26/02/2021
 
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