This study provides a comprehensive overview of the field of enhancing the customer-supplier relationship through big data technology and artificial intelligence (AI), reveals existing gaps and offers promising solutions for future research. SMART PLS-4 software was used to analyze the data collected, the results led to the existence of significant relationships between artificial intelligence and enhancing the relationship between the supplier and the customer (customer interaction, customer communication, customer participation, customer learning, customer experience, customer feedback). The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry. The study contributes to developing a conceptual model through the application of artificial intelligence in managing customer relationships with suppliers in the banking industry setting. Which supports increasing knowledge in this field and helps managers develop appropriate strategies. This research is the first of its kind to organize and discuss the literature related to using artificial intelligence within the customer-supplier relationship management setting, which provides great importance to the process of using and developing artificial intelligence technology and understanding recent trends in how to develop customer–supplier relationships within the technology era.

This research examines the customer engagement on social media platforms in the tourism industry and its effect on customer loyalty through the mediated effect of customer trust. Furthermore, the moderating role of product learning is investigated on the hypothesized relationships. Data was collected from guests in 5 stars hotels in Kyrenia region in Northern Cyprus. In this study, out of the 459 collected surveys, only 419 were analyzed due to missing or incomplete data. The analysis conducted here followed the two step approach for structure equations modelling. Firstly, a confirmato-ry factor analysis was appraised to prepare data for structural model. Then the structural model helped shape our direct hypothesis testing, before analyzing the mediating and moderating impacts. The data provided evidence to link customer interactions on social media with trust and loyalty (Hypotheses 1-3) while trust revealed a mediating effect between interaction and loyalty. Finally, product learning did have an empowering impact on the relationship between interaction and trust.