The Impact of Digital Supply Chain on Sustainable Performance: The  Moderating Role of Big Data Analytics Capabilities

Amro Adel Abu  Lemoun; Hatem  Dellagi; Suleiman Ibrahim Shelash  Mohammad; Badrea Al Oraini; Asokan Vasudevan; Mohammad Faleh Ahmmad Hunitie

doi:10.63332/joph.v5i3.857

Authors

Amro Adel Abu Lemoun Faculty of Economic Sciences and Management, University of Tunis El Manar, 1068 Rommana, Tunisia
Hatem Dellagi Department of quantitative methods, Faculty of Economics and management Science of Nabeul, Carthage University, 2036 La Soukra, Tunisia
Suleiman Ibrahim Shelash Mohammad Electronic Marketing and Social Media, Economic and Administrative Sciences Zarqa University, Jordan; Research follower, INTI International University, 71800 Negeri Sembilan, Malaysia
Badrea Al Oraini Department of Business Administration, Collage of Business and Economics, Qassim University, Qassim – Saudi Arabia
Asokan Vasudevan Faculty of Business and Communications, INTI International University, 71800 Negeri Sembilan, Malaysia
Mohammad Faleh Ahmmad Hunitie Department of Public Administration, School of Business, University of Jordan, Jordan

DOI:

https://doi.org/10.63332/joph.v5i3.857

Keywords:

Digital Supply Chain, Sustainable Performance, Big Data Analytics Capabilities, Industrial Sector, Jordan

Abstract

Amidst a period characterized by the restructuring of global supply chains via digitalization, its implications on sustainability have become a necessity, especially in developing economies. This research investigates the contribution of the digital supply chain to sustainable performance, with big data analytics capacity as a moderating factor, in the Jordanian industrial sector. Based on a comprehensive dataset collected from 308 managers spanning various industrial sectors, the research offers empirical evidence on how digitalization reshapes industrial sustainability. The results indicate that the overall level of digital supply chain adoption in Jordanian industries is moderate. Similarly, big data analytics capability revealed a positive significant effect on sustainable performance, with human capability being the most essential. Nevertheless, the moderating effect of big data analytics capability was selective; it effectively improved the connection between digital logistics and sustainable performance, but did not have any notable effect on digital suppliers or digital manufacturing. This study gives a holistic model for industrial companies to deal with the dynamics of contemporary supply chains by incorporating digital transformation, big data, and sustainability, thereby resulting in environmental, social, and economic sustainability in the long run.