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Frontiers of Business Research in China

ISSN 1673-7326

ISSN 1673-7431(Online)

CN 11-5746/F

Postal Subscription Code 80-977

Front. Bus. Res. China    2023, Vol. 17 Issue (4) : 520-541    https://doi.org/10.3868/s070-008-023-0032-7
Big Data Capability, KnowledgeDynamic Capability, and Business Model Innovation: The Moderating Effect of Innovation Legitimacy
ZHANG Jichang1, LONG Jing2, CHEN Feng3
1. Business School, Nanjing University, Nanjing 210093, China
2. Business School, Nanjing University, Nanjing 210093, China
3. School of Economics and Management, South China Normal University, Guangzhou 510006, China
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Abstract

Based on dynamic capability theory and legitimacy theory, a theoretical model is constructed to examine how big data capability, through the mediation of knowledge dynamic capability, drive business model innovation under the moderation effect of innovation legitimacy. The analysis is conducted using regression analysis and fuzzy set qualitative comparative analysis (fsQCA) on survey data from 302 enterprises that have already implemented big data application practices. The study finds the following four conclusions. (1) Big data capability has a significant positive impact on business model innovation. (2) Dynamic knowledge capability partially mediates the relationship between big data capability and business model innovation. (3) Innovation legitimacy positively influences business model innovation and positively moderates the relationship between big data capability and business model innovation. (4) Through further qualitative comparative analysis, two causal paths that influence business model innovation are identified.

Keywords big data capability; dynamic knowledge capability; business model innovation; innovation legitimacy; fuzzy set qualitative comparative analysis (fsQCA)     
Issue Date: 23 January 2024
 Cite this article:   
ZHANG Jichang,LONG Jing,CHEN Feng. Big Data Capability, KnowledgeDynamic Capability, and Business Model Innovation: The Moderating Effect of Innovation Legitimacy[J]. Front. Bus. Res. China, 2023, 17(4): 520-541.
 URL:  
https://academic.hep.com.cn/fbr/EN/10.3868/s070-008-023-0032-7
https://academic.hep.com.cn/fbr/EN/Y2023/V17/I4/520
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