Creating value from diverse knowledge in megaproject innovation ecosystems
被引:30
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作者:
Jin, Zhizhou
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机构:
Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R ChinaShanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
Jin, Zhizhou
[1
]
Zeng, Saixing
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机构:
Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R ChinaShanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
Zeng, Saixing
[1
]
Chen, Hongquan
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机构:
Shanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R ChinaShanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
Chen, Hongquan
[2
]
Shi, Jonathan Jingsheng
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Louisiana State Univ, Coll Engn, Baton Rouge, LA 70803 USAShanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
Shi, Jonathan Jingsheng
[3
]
机构:
[1] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
[3] Louisiana State Univ, Coll Engn, Baton Rouge, LA 70803 USA
Although considerable emphasis has been placed on innovation in megaprojects research, it remains unclear how to obtain valuable outputs in megaproject innovation ecosystems. In view of the key role of knowledge in innovation activities, this study aims to explore the latent mechanism underlying the relationship between knowledge input and output quality, and how this relationship is impacted by ecosystem peers. We argue that there is an inverted U-shaped relationship between the size of knowledge base and the likelihood of high-quality output as a result of both the creation-potential effect and the integration-difficulty effect caused by the increase in knowledge base size. An empirical analysis of the Hong Kong-Zhuhai-Macao Bridge project confirms it and shows that the inverted U-shaped curve will be flattened as the relative search breadth of ecosystem peers in-creases. Our findings deepen the theoretical understanding of innovation activities in megaprojects, and provide new insights into co-creation in megaprojects innovation ecosystems.