The study aimed to clarify the most important interconnected factors in the tourism sector “especially in hotels” that contribute to enhancing the interaction of current customers of hotels operating in tourism sector in light of the presence of the customer’s hotel experience as a moderator variable, through an empirical study on hotels, based on an analysis of the opinions of a sample of hotels customers in this sector. The study has been done depending on a questionnaire designed for this purpose and the study employs SmartPLS to analyze the data collected. The study found that the variables: employee efficiency, improving service quality, re-engineering business processes, and enhancing customer relationship management affect the business output generated by current customers of hotels, but the impact of these factors varies on the customers repurchase intention. The factor (Employee’s competencies- EC) has the greatest degree of correlation with an impact coefficient of (-0.227), while the lowest degree of correlation is for the factor (Reengineering business process- RBP) with an impact coefficient of (-0.034). By adopting the variable (CSE) as a moderator variable, the relationships between the independent factors and the dependent factor showed a significant change from the inverse relationship to the direct relationship. The study also showed, through the coefficient of determination (16.1%), that the selected independent factors can be developed either by expanding the sample or by selecting other simple factors or a composite of more than one factor. The moderator variable showed a negative effect on the relationship between the dependent factor (CR) and both factors (ERM and ISQ), while its effect was positive on the relationship between the dependent factor and the other independent factors (RBP and EC).

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.

In today's altering business climate, supply chain agility has emerged as a key component of organizational success and competitive advantage. The performance of a company can be significantly impacted by its supply chain's capacity to react swiftly to changes in consumer requests, market circumstances, and other variables. This study examines the empirical effect of supply chain agility on organizational performance through the lens of Lean Six Sigma, business process management (BPM), technology innovation capabilities, and strategic alignment. The research methodology employed is a quantitative analysis of survey data collected from 187 supply chain professionals across different retail companies located in Dubai, UAE. The study findings indicate that supply chain agility has a positive and significant effect on organizational performance. The implementation of Lean Six Sigma, BPM, technology innovation, and strategic alignment also strengthens the relationship between supply chain agility and organizational performance. Furthermore, to increase supply chain agility and improve organizational performance, firms should invest in these aspects, promote a culture of continuous improvement and innovation, and work with supply chain partners.

Companies seek to adopt competitive strategies that achieve sustainability standards, not only in achieving economic success but also in serving society and preserving the environment at the same time. Pharmaceutical companies and their supply chains are facing increasing pressure to preserve the environment because of the problems caused by medical waste, and it is necessary to show their role through their strategies in preserving the environment and serving society as well. This study aims to investigate the relationship between sustainable supply chain strategies and supply chain collaboration and its effect on competitive priorities. The study investigates whether Jordanian Pharmaceutical companies incorporate the sustainability strategy into supply chain strategy, and whether that may impact its competitive priorities. The study population consists of (23) Jordanian Pharmaceutical companies. A structured questionnaire is designed and distributed among top managers in the surveyed companies. A Structural Equation Modeling technique is used to analysis the data and provide the results. Analysis proves the relationship between sustainable supply chain strategies and supply chain collaboration, where companies are interested in attaining some achievements in the area of social and environmental to gain some collaborative strategies with their partners in the supply chain. The study suggests that organizations may adopt the Triple Bottom Line (TBL) framework to evaluate their performance in a broader perspective and extend the collaboration with suppliers and customers through information sharing along the supply chain partners.

This study provides an analytical view of the correlation between several factors that influence the credibility of information available through various sources on the Internet. The most critical factors include information quality, source credibility, argument strength, message credibility, and average credibility. Additionally, the study explores the impact of gender and years of experience as demographic variables on the nature and size of these relationships. The study relied on a critical review of previous related literature. In addition, it adopted an analytical approach using a sample of 300 Internet users through a questionnaire designed based on the study hypotheses. Most of these relationships were found to be at an average level, except for the relationship between source credibility and information credibility. No statistical indicators were observed. Consequently, the researchers acknowledge the need for caution when generalizing these results to society. The study also found that the gender of the recipient and the number of years of experience did not necessarily play a mediating role in the relationship between the tested factors and the credibility of information received via the Internet.

The concept of the “Metaverse” is a three-dimensional virtual world that relies on simulations of reality to represent real-life experiences, and it can be classified as the next generation in using the Internet. In this research, we will examine the factors that may influence user acceptance of metaverse and the relationships between these variables highlight how different factors can be examined. The goal of understanding these factors is to determine how Metaverse developers can improve this technology to meet user expectations and enable users to better interact with this technology. To achieve this goal, a sample of 312 students’ participants from different age groups was selected to respond to an online Likert scale questionnaire ranging from) strongly disagree equal) to (strongly agree equal 5). The study found that perceived enjoyment significantly positively influences technology metaverse application. Moreover, perceived curiosity and perceived self-efficacy positively influence technology application metaverse transitions. In addition, perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the attitude toward using the Metaverse technology/application, which means that all the previous factors have an overall positive effect on the attitude toward using the Metaverse technology application.
The concept of the “Metaverse” is a three-dimensional virtual world that relies on simulations of reality to represent real-life experiences, and it can be classified as the next generation in using the Internet. In this research, we will examine the factors that may influence user acceptance of metaverse and the relationships between these variables highlight how different factors can be examined. The goal of understanding these factors is to determine how Metaverse developers can improve this technology to meet user expectations and enable users to better interact with this technology. To achieve this goal, a sample of 312 students’ participants from different age groups was selected to respond to an online Likert scale questionnaire ranging from) strongly disagree equal) to (strongly agree equal 5). The study found that perceived enjoyment significantly positively influences technology metaverse application. Moreover, perceived curiosity and perceived self-efficacy positively influence technology application metaverse transitions. In addition, perceived ease of use (PEOU) and perceived usefulness (PU) positively influence the attitude toward using the Metaverse technology/application, which means that all the previous factors have an overall positive effect on the attitude toward using the Metaverse technology application.

Loyalty programs are widely used by organizations as a structured customer relationship management (CRM) tool to build and extend customer-supplier relationship. Although a large number of benefits are offered through them to both companies and consumers, loyalty programs face a set of planning and implementation pitfalls. Scholars or practitioners rarely discuss such pitfalls. Thus, this paper intends to add further values to the current literature by exploring/investigating the main loyalty scheme pitfalls, both theoretically and practically. The study explores a set of loyalty program planning problems and some of the execution’s drawbacks, including clear aim need, loyalty program design, budgeting and experienced employee involvement. In addition to loyalty programs benefits and rewards offered, loyalty programs target customer selection problems using loyalty program promotional tools. For the study, 161 managers and employees who were involved in loyalty program planning and execution were surveyed. Smart-PLS was used to test the developed model and hypotheses. The study found that all studied loyalty program elements identified affected their planning and implementation. However, some of these elements where seen important to be considered when planning loyalty schemes, such schemes’ benefits and rewards offered were still not planned properly and did not meet customer needs or even expectations and, in most cases, the loyalty programs’ aims were not clear to all their stakeholders. The paper also provides additional discussion about additional issues of loyalty schemes planning and execution problems and proposes a set of solutions and recommendations, which might highlight some of the future venues with this regard.