The research aims to investigate the potential impact of Artificial Intelligence (AI) on the digital supply chain in light of extant literature on the Decision-Oriented Information (DOI) theory and the Technology-Oriented Enterprise (TOE) framework. The research further attempts to unpack the strategic implications of AI integration in supply chain management, and its association with operational excellence and business model innovation. The study is exploratory and employs a mixed-methods approach. We develop propositions that examine the decision-making processes within AI-enhanced supply chains based on an analysis of concepts central to the DOI theory. We also employ the TOE framework to develop further propositions regarding the technological infrastructure required for AI implementation. Empirical case studies encompassing AI applications in different industries (e.g. manufacturing, healthcare, and pharmaceuticals) are presented to gain a broad perspective of the impact of AI on the digital supply chain. AI technologies inherently make supply chains more agile, transparent, and responsive. Machine Learning algorithms allow for more accurate forecasting and demand management under conditions of supply chain risk and volatility. Robotics and automation, allow for greater flexibility and efficiency in executing operations and logistics. Additionally, the successful implementation of AI is heavily contingent on the organization’s current level of technological infrastructure and its alignment with its current and future business objectives. Furthermore, the DOI theory and TOE framework may serve as a blueprint for how one could evaluate AI implementation beyond the scope of supply chain management.

This research aims to identify the Mediating role of ICT on the Impact of supply chain management (SCM) on organizational performance (OP), a field study: of pharmaceutical companies in Jordan. To achieve the aim of the research, the researcher used the descriptive analytical approach. The research population is all the employees in the three pharmaceutical companies listed on the Amman Stock Exchange (1,528), A suitable sample content of (400) employees was chosen, questionnaires were distributed using Google Forms, and the percentage of correct questionnaires was (85%), The research concluded that SCM with its dimensions has an impact on OP in pharmaceutical companies in Jordan, CRM does not exhibit a notable impact on the dependent variable OP and this research provides robust support for ICT mediating the relationship between SCM and OP in pharmaceutical companies in Jordan. The research recommended pharmaceutical companies to explore strategies to enhance their customer relationships and it also recommends pharmaceutical companies to invest in and enhance ICT infrastructure and capabilities, this research also recommends future studies to examine the role of artificial intelligence (AI) instead of (ICT) mediator between (SCM) and (OP).