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.

The aim of this study is to examine the impact of digital marketing on consumer behavior in the fast fashion industry in the Kingdom of Saudi Arabia (KSA). The fast fashion industry has been growing rapidly in the KSA, and digital marketing has played a significant role in changing consumer behavior in this industry. The study adopted a quantitative research design and used online surveys as the primary data collection method. The sample consisted of a convenient sample of participants who had purchased fast fashion products in the KSA. The data was analyzed using various statistical methods, including descriptive statistics, correlation analysis, and regression analysis. This study's findings shed new light on how digital marketing has affected customer behavior in the fast fashion sector in the KSA. Consumers in the KSA have a good reaction to digital marketing methods in the fast fashion industry, and this effect is significant.

E-consumer rights aim to provide consumers and sellers a fair opportunity when dealing online, which requires both parties to know their rights and ethics. Therefore, the purpose of this study is to verify the impact of consumer rights available on reputed online store websites in Saudi Arabia (KSA) on the customer service, using expectation confirmation theory (ECT). A random sampling technique was used for primary data collection from a sample size of 152 faculty members. IBM Software Package for Social Sciences SPSS-26 and structural equation modeling (SEM) LISREL software programs were used for data analysis. The findings show that e-consumer rights have positive and significant effects on customers’ e-reliability and e-responsiveness. In addition, consumers’ income significantly influences their e-responsiveness, while the number of e-dealings per month significantly influences both e-reliability and e-responsiveness. The results of the study also provide an inventory of eight reasons why consumers prefer to deal with local electronic stores over foreign ones. Based on these findings, theoretical importance, practical implications, and suggestions for future research are discussed.