A Study of Antecedents Configuration of Enterprise Business Model Innovation Based on CET@I Methodology

Abstract

Abstract: Based on the CET@I methodology, this paper uses the fsQCA method to systematically study the configuration effects of implicit knowledge factors (formal institutional capital, informal institutional capital, outbound open innovation, inbound open innovation, manufacturing enterprise/non-manufacturing enterprise) and explicit knowledge factors (firm size, resource integration ability, operational experience) on enterprise business model innovation. The findings are as follows. (1) There is no single factor that constitutes the necessary condition for leading to high or non-high enterprise business model innovation, but high inbound open innovation and high resource integration ability play a prominent role in the process of leading to high enterprise business model innovation. (2) There are five configurations that can lead to high enterprise business model innovation, which can be categorized into four types: institutional capital and open innovation-driven type, informal institutional capital and open innovation-driven type, formal institutional capital and open innovation-driven type, and formal institutional capital and inbound open innovation-driven type. (3) There are six configurations that can lead to non-high enterprise business model innovation, and these configurations have an asymmetric relationship with the driving mechanism of high business model innovation.

Key words: business model innovation, iceberg theory, CET@I methodology, fsQCA

Liang Chen, Chen Huaichao, Wu Huichao, Jiang Ke, Wang Lei. A Study of Antecedents Configuration of Enterprise Business Model Innovation Based on CET@I Methodology[J]. Management Review, 2025, 37(7): 103-114.

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