Linking big data analytics to firm performance: exploring the mediating effects of data-driven culture and networking capability

Purpose This study clarifies the relationship among big data analytics capabilities (BDAC), firm performance (FP), data-driven culture (DDC) and networking capabilities (NC). A theoretical model is proposed to illustrate how manufacturing SMEs can enhance their firm performance by adopting BDAC, DDC and NC. Design/methodology/approach The study employed partial least squares structural equation modelling (PLS-SEM) for hypothesis testing, utilizing questionnaires directed at owners/managers of small and medium-sized enterprises (SMEs). Findings The results indicate that BDAC has a substantial impact on FP. Additionally, a DDC serves as a mediator between BDAC and FP, thereby enhancing firm performance. Nevertheless, there was no significant mediation effect of NC between BDAC and FP. Originality/value Previous studies overlooked the mediating roles of DDC and NC in the relationship between BDAC and FP improvements. This study examined the mediating roles of DDC and NC in the relationship between BDAC and FP, thereby addressing a gap in the existing literature.

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Publication Details

Journal
Business Process Management Journal
Published
2025-12-26
DOI
https://doi.org/10.1108/bpmj-07-2025-1232
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

Linking big data analytics to firm performance: exploring the mediating effects of data-driven culture and networking capability

Dongli Peng, Isha Kampoowale, Hiba Awad Alla Ali Hussin, Hamza Iftikhar et al.
Business Process Management Journal
Big Data and Business Intelligence
article

Linking big data analytics to firm performance: exploring the mediating effects of data-driven culture and networking capability

Dongli Peng, Isha Kampoowale, Hiba Awad Alla Ali Hussin, Hamza Iftikhar, Nadia Bushra Mohammed Ali
article en

Abstract

Purpose This study clarifies the relationship among big data analytics capabilities (BDAC), firm performance (FP), data-driven culture (DDC) and networking capabilities (NC). A theoretical model is proposed to illustrate how manufacturing SMEs can enhance their firm performance by adopting BDAC, DDC and NC. Design/methodology/approach The study employed partial least squares structural equation modelling (PLS-SEM) for hypothesis testing, utilizing questionnaires directed at owners/managers of small and medium-sized enterprises (SMEs). Findings The results indicate that BDAC has a substantial impact on FP. Additionally, a DDC serves as a mediator between BDAC and FP, thereby enhancing firm performance. Nevertheless, there was no significant mediation effect of NC between BDAC and FP. Originality/value Previous studies overlooked the mediating roles of DDC and NC in the relationship between BDAC and FP improvements. This study examined the mediating roles of DDC and NC in the relationship between BDAC and FP, thereby addressing a gap in the existing literature.

Business Process Management Journal
Public Policy Institute of California (US), Imam Mohammad ibn Saud Islamic University (SA), Wuxi Taihu Hospital (CN), National University of Uzbekistan (UZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 24%
Big Data and Business Intelligence
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Linking big data analytics to firm performance: exploring the mediating effects of data-driven culture and networking capability — Dongli Peng, Isha Kampoowale, et al. · Business Process Management Journal (2025) | TGRS Research Map | TGRS