The study aims to investigate the moderating role of Organizational Readiness (OR) in the relationship between Supply Chain Agility (SCA) and Blockchain Adoption Intention (BAI) among these SMEs, drawing on the Resource-Based View (RBV) theory. The study adopts a positivist approach and a cross-sectional design to explore how organizational readiness moderates blockchain adoption in Saudi SMEs. It uses a quantitative methodology, surveying decision-makers from SMEs engaged in supply chain activities to gather data. Data analysis is performed using Structural Equation Modeling (SEM). The study's findings indicate that Operational Supply Chain Transparency (OSCT) impacts Supply Chain Alignment (SCL), Supply Chain Adaptability (SCD), SCA, and BAI. Moreover, there is a positive influence of SCL on SCD and SCA. SCA also significantly influences BAI. Furthermore, the moderation analysis shows that OR significantly affects the SCA-BAI relationship, indicating that higher OR amplifies the positive impact of supply chain agility on blockchain adoption intention, underscoring the critical roles of supply chain factors and OR in blockchain adoption among SMEs. Based on the RBV theory, the study delves into how constructs like SCL, OSCT, SCD, and SCA are influenced by blockchain technology. It assesses the extent to which these factors would impact the propensity of SMEs to implement blockchain yet explores the moderating influence of OR on this dynamic.

This study aims at exploring the impact of the performance of supply chain dimensions (plan-based, source-based, make-based, delivery-based, and return-based performance) on the financial performance of industrial firms. Using a questionnaire, data were collected from a sample consisting of 250 supply chain and financial managers. Analysis data via IBM SPSS and AMOS, the results showed that hypothesized effects were supported except one hypothesis. That is, the results revealed that plan-based, source-based, make-based, and delivery-based performance have significant effects on firm’ financial performance. However, there was a significant negative effect of return-based performance on financial performance. The results concluded that firms should individually influence the supply chain dimensions to address the effects of their performance on financial performance.

The aim of this study is to identify the impact of live stream marketing on consumer trust. Data was collected using a questionnaire developed based on prior works and administered electronically to consumers who use live stream marketing before making their purchasing decisions in Saudi Arabia. A total of 350 responses were used for data analysis purposes, which was carried out via SmartPLS 4.0 software. The findings of the study demonstrate a significant and positive impact of live stream marketing as conceptualized in terms of five dimensions (information, attractiveness, entertainment, expert, and social interaction) on consumer trust. In accordance with the research's findings, researchers advise live stream marketers to learn everything they can about the things they are selling because doing so will enable customers to make well-informed choices.

The study aims at exploring the effect of artificial intelligence as measured by machine learning capability and expert systems capability on patient satisfaction. As informant participants, medical staff workers in healthcare institutions in KSA comprise the population of the study. Hence, a sample consisting of 300 participants was used to gather research data via a questionnaire developed based on previous works. By means of Smart PLS 3.0 software, the results indicate that both machine learning and expert systems have significant effects on patient satisfaction. The study concluded that artificial intelligence capability is a cornerstone of patient satisfaction. such a statement encompasses theoretical and empirical implications as stated at the end of this study.