How Can Multi-agent Collaboration Achieve High Digital Innovation Performance? A Configuration Study Based on the Perspective of Digital Innovation Ecosystem

doi:10.15936/j.cnki.1008-3758.2024.04.007

Abstract

Abstract: From the perspective of the digital innovation ecosystem， the fuzzy set qualitative comparative analysis (fsQCA) method is used in the study to explore the configuration path of how the multi-agent collaboration model can achieve high digital innovation performance. It is found that in the digital innovation ecosystem， there are no prerequisite conditions for achieving high digital innovation performance. Instead， a diverse configuration emerges from the collaborative combination of five elements. There are four distinct configuration paths with the characteristic of “different paths leading to the same goal” for achieving high digital innovation performance， including a “dual-driven model with universities and scientific research institutions assisted by the government and digital users”， a “triple-driven model encompassing collaborative enterprises， digital users and government”， a “dual-driven model centered on collaborative enterprises and financing intermediaries with assistance from digital users” and a “dual-driven model led by the government and financing intermediaries with universities and scientific research institutions at the helm”， as well as a configuration path for achieving non-high digital innovation performance. There are differences in the nature of enterprises in the configuration path for achieving high digital innovation performance.

Key words: multi-agent collaboration; digital innovation performance; digital innovation ecosystem; digital innovation enterprise

CLC Number:

F270

LIU Jingtao， NING Lianju， GAO Qifang. How Can Multi-agent Collaboration Achieve High Digital Innovation Performance? A Configuration Study Based on the Perspective of Digital Innovation Ecosystem[J]. Journal of Northeastern University(Social Science), 2024, 26(4): 52-64.

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