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Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation

Version 4 2024-03-13, 16:13
Version 3 2023-10-29, 15:43
journal contribution
posted on 2024-03-13, 16:13 authored by Francesco Ciampi, Stefano Demi, Alessandro Magrini, Giacomo Marzi, Armando Papa
<p>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.</p>

History

School affiliated with

  • Lincoln Business School (Research Outputs)

Publication Title

Journal of Business Research

Volume

123

Pages/Article Number

1-13

Publisher

Elsevier

ISSN

0148-2963

eISSN

0148-2963

Date Submitted

2020-09-25

Date Accepted

2020-09-09

Date of First Publication

2020-09-09

Date of Final Publication

2020-09-09

Date Document First Uploaded

2020-09-25

ePrints ID

42473

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