Abstract:
In this study, the authors investigate the effect of big data analytics capability (BDAC) on supply
chain performance (SCP) to assess the mediating effect of supply chain innovation (SCI) and the moderating
effect of a data-driven culture (DDC).
Design/methodology/approach – The authors collected the primary data through an online questionnaire
survey from the manufacturing sector operating in Jordan. The authors used 420 samples for the final data
analysis, which the authors performed via partial least squares structural equation modelling using SmartPLS
3.3.9 software.
Findings – The results indicate that BDAC has a strong relationship with SCI and SCP. SCI shows a positive
relationship with SCP as well as a mediating effect on SCI. The authors confirmed that DDC moderated the
relationship between SCI and SCP.
Originality/value – The authors developed a conceptual and empirical model to investigate the relationship
between BDAC, SCI, DDC and SCP. The authors contributed new theoretical and managerial insights that add
value to the supply chain management literature through testing the moderated-mediated model of these
constructs in Jordan’s manufacturing sector