Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation
Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation
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DOI：
10.1016/j.jbusres.2020.09.023
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发表时间：
2021-02-01
影响因子：
11.3
通讯作者：
Papa, Armando
中科院分区：
文献类型：
--
作者：
Ciampi, Francesco;Demi, Stefano;Papa, Armando
大数据分析功能(BDAC)是在高度动态的市场中提高业务竞争力的关键工具。对此，本研究利用动态能力观(DCV)分析了BDAC与商业模式创新(BMI)之间的关系。本文认为，BDAC(一种低阶动态能力)对BMI的影响是通过企业家导向(EO；一种高阶动态能力)中介的。本文利用253家英国企业的调查数据，采用偏最小二乘法(对称)和模糊集定性比较分析(非对称)两种方法对模型进行了评估。我们的研究结果表明，BDAC对BMI既有直接的正向影响，也有间接的正向影响，后者是由EO介导的。这些结果丰富了关于大数据(BD)的创新管理文献，表明BDAC影响公司的战略逻辑和目标，而不是依赖于它们，从而在为公司及其利益相关者创造价值方面发挥重要作用。
Big Data Analytics Capabilities (BDAC) represent critical tools for business competitiveness in highly dynamic markets. In this connection, by leveraging on the Dynamic Capabilities View (DCV) this study analyses the relationship between BDAC and Business Model Innovation (BMI). It argues that the impact of BDAC (a lower-order dynamic capability) on BMI is mediated by Entrepreneurial Orientation (EO; a higher-order dynamic capability). The proposed model is assessed by PLS-SEM (symmetric) and fuzzy-set Qualitative Comparative Analysis (asymmetric) methods using survey data from 253 UK firms. Our findings demonstrate that BDAC have both direct and indirect positive effects on BMI, with the latter being mediated by EO. These results enrich the innovation management literature on Big Data (BD) by showing that BDAC influence company strategic logics and objectives, rather than depending on them, thus playing a significant role in creating value for companies and their stakeholders.