This study’s aim was to discover how the internet of things (IoT) impacts smart supply chain innovation (SSCI) and manufacturing performance (MP) in the Jordanian manufacturing firms. The study also examined the role of SSCI as a mediating and the impact of Big Data-Driven Supply Chain (BDDSC) as a moderating in these effects.
Structural equation modeling (SEM) through maximum likelihood estimation was used to analyse responses from a sample of 440 management teams in manufacturing firms using SEM. This method meets all the requirements for confirmatory factor analysis, which is done through hypothesis testing.
The research revealed several key insights. Primarily, it established the direct influence of IoT and SSCI on MP. It also found that SSCI plays a crucial mediating role in the IoT’s indirect impact on MP. In addition, the study revealed that applying BDDSC moderates the correlation between IoT and SSCI.
To the best of the authors’ knowledge, this study is the first to investigate these specific relationships in this context. The study offers a novel contribution to the existing literature on the effects of IoT on MP. Moreover, it provides new perspectives and valuable recommendations for supply chain managers in manufacturing firms, particularly through its innovative moderated mediation model.
