The determinants of export performance in the digital transformation era: empirical evidence from manufacturing firms

Ayman Wael AL-Khatib

International Journal of Emerging Markets, 2023, vol. 19, issue 10, 2597-2622

Abstract: Purpose - This study investigates the impact of big data analytics capabilities on export performance. Moreover, it assesses the mediating effect of the supply chain innovation and moderating effect of supply chain agility. Design/methodology/approach - This study is based on primary data that were collected from the manufacturing sector operating in Jordan. A total of 327 responses were used for the final data analysis. Data analysis was performed via a partial least square structural equation modeling (PLS-SEM) approach. Findings - The results of the data analysis supported a positive relationship between big data analytics capabilities and the export performance as well as a mediating effect of supply chain innovation. It was confirmed that supply chain agility moderated the relationship of supply chain innovation and export performance. Originality/value - This study developed a theoretical and empirical model to investigate the relationship between big data analytics capabilities, export performance, supply chain innovation and supply chain agility. This study offers new theoretical and managerial contributions that add value to the supply chain management literature by testing the moderated-mediated model of these constructs in the manufacturing sector in Jordan.

Keywords: Big data analytics capabilities; Export performance; Supply chain innovation; Supply chain agility (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eme:ijoemp:ijoem-08-2022-1223

DOI: 10.1108/IJOEM-08-2022-1223

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