Configurational Path to Collaborative Innovation in Large and Complex Construction Projects

Author:

Chen Xiaoyan1,Wang Ting2ORCID,Liu Yan3ORCID,Dou Zixin4ORCID

Affiliation:

1. School of Urban Economics and Management, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

2. College of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 201418, China

3. School of Management and Engineering, Nanjing University, Nanjing 210093, China

4. School of Business, Guangzhou University, Guangzhou 510006, China

Abstract

Collaborative innovation contributes to sustainable development in many industries. Although there is a growing literature on collaborative innovation, it is still unclear whether and how configurations of drivers affect collaborative innovation in large and complex construction projects (hereafter megaprojects). This research adopts fuzzy-set qualitative comparative analysis (fsQCA) to explore multiple conjunctural causations of collaborative innovation in megaprojects. The findings show that four equifinal solutions can influence collaborative innovation in megaprojects, i.e.: “system innovation-oriented” (configuration 1), “radical innovation-oriented” (configuration 2), “second-tier supplier oriented” (configuration 3), and “modular or architectural innovation-oriented” (configuration 4). This study contributes to explaining the mechanisms regarding how configurations of drivers contribute to collaborative innovation in megaprojects. It also contributes to the development of collaborative innovation research in a construction project context. The research findings provide construction project managers with four useful suggestions for promoting collaborative innovation in megaprojects.

Funder

Shanghai Sailing Program

Fundamental Research Funds for Beijing University of Civil Engineering and Architecture

National Natural Science Foundation of China

Shanghai Youth Soft Science Research Project

Scientific Research Foundation for the Talented Young Scholars of Shanghai Institute of Technology

Publisher

MDPI AG

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