In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies such as artificial intelligence for more efficient and green human-centric production. In a similar approach, project management would benefit from artificial intelligence in order to achieve project goals by improving project performance, and consequently, reaching higher sustainable success. In this context, this paper examines the role of artificial intelligence in emerging project management through a systematic literature review; the applications of AI techniques in the project management performance domains are presented. The results show that the number of influential publications on artificial intelligence-enabled project management has increased significantly over the last decade. The findings indicate that artificial intelligence, predominantly machine learning, can be considerably useful in the management of construction and IT projects; it is notably encouraging for enhancing the planning, measurement, and uncertainty performance domains by providing promising forecasting and decision-making capabilities.

The Internet of Things (IoT) is a global platform of Internet-connected smart devices that strengthens the supply chain ICT infrastructure for greater integration within an organisation and externally with suppliers and customers. However, the IoT literature so far remains theoretical and excessively focused on its technology and potential applications, with a very limited revelation of its operational benefits. Therefore, the study explores the ground reality of IoT impact on supply chain integration and performance. Twelve semi-structured interviews with managers from the Australian retail industry were thematically analysed using NVivo. The findings reveal that multiple IoT forms provide additional capabilities in data auto-capture, visibility, intelligence, and information sharing for greater integration of retail supply chains. That, in turn, enhances supply chain performance in cost, quality, delivery, and flexibility dimensions to improve firm financial, social, and environmental sustainability. The study outlines the theoretical and practical contributions arising from the deployment of IoT.

Growing concern over food safety and adulteration has thrust milk traceability technologies to the forefront of agrifood supply chains. This qualitative study explores the technological, organisational and environmental (TOE) determinants of traceability‑technology adoption in Saudi Arabia’s dairy sector. In‑depth interviews with nine senior managers from small‑, medium‑ and large‑scale dairies were analysed thematically in NVivo. Government policy, especially Sau-di Vision 2030 and SFDA regulations emerged as the dominant driver, while employee resistance and upfront cost were the primary inhibitors. Contrary to much prior literature, respondents downplayed technological complexity, arguing that training can offset it. The localisation initiative Saudisation surfaced as a double‑edged sword: essential for national goals yet often slowing digital uptake. We extend the TOE lens by showing how labour‑nationalisation and pandemic experience reshape environmental pressure in emerging markets. Insights guide managers and policymakers striving to improve supply‑chain transparency, efficiency and consumer trust while advancing several UN SDGs.