The purpose of this paper is to empirically examine a theoretical model which identifies the effect of process quality improvement and lean practices on competitive performance in the healthcare industry in the United Arab Emirates (UAE). The study uses a quantitative research technique with convenient cluster sampling through applying a descriptive, causal and analytical research design. A valid sample size of 270 respondents is used for analysis by linear regression and hypothesis testing using SPSS. The results indicate a direct significant relationship between process quality improvement and a direct significant relationship between lean practices and competitive performance. Given the substantial resources spent and efforts to improve healthcare quality, the absence of studies demonstrating the impact of quality-related operations and activities would require future research. Hospitals in one city in UAE have access that limits the research results. It is recommended that future research assess more variables dependency on the healthcare sector that can affect increase competitiveness. The research provides some managerial implications that could help hospital managerial members improve their healthcare delivery system's leanness and quality improvement to get competitiveness. Quality improvement and lean practices help increase competitive performance and can assist the healthcare sector in providing better service using these practices that have never been considered in research.

The main aim of this study is to examine the effects of social customer relationship management (CRM) on customer happiness and customer retention. To achieve the study objectives, a quantitative research method is adopted in this study to examine the hypotheses by using a survey questionnaire for the purpose of data collection from the target sample of customers of telecommunication firms working in Jordan. The instrument is designed and customized to conduct this study and meet the research objectives. A total of 319 valid and reliable responses are returned and they are analyzed using the SEM approach through SmartPLS3 software to examine the hypotheses. The findings reveal significant and positive effects of the most social CRM elements studied on customer happiness and the customer happiness influenced customer retention. The study contributes to the respective research field with further better understanding of the role of social CRM to increase customer happiness and retain long term relationships with them.

This research aims to fill the research gap with empirical evidence that exists about the impact of blockchain and smart inventory systems on supply chain performance in the retail industry in the UAE. The proposed model is uniquely researched as no prior research explores the link between supply chain performances, blockchain, and smart inventory in prestigious academic journals. A quantitative technique with convenient cluster sampling is used. A descriptive, exploratory, causal and analytical design was applied—a sample size of 303 respondents was used for data analysis through regression and hypothesis with ANOVA. The findings revealed a significant positive impact of blockchain and smart inventory systems on SC performance. Limited construct-based research can be focused on more industries and constructs for future studies. There are numerous chances for businesses to leverage blockchain technology to their advantage over the competition, giving them the chance to strengthen their market position. Managers must carefully consider the qualities of their goods, services, and supply chains to ascertain whether they require or would sufficiently benefit from blockchain.

Supply chain management and integration have become more important business topics mainly addressed within the different businesses industries in order to influence the organizational performance. The current research study aims to investigate this effect by involving some key of supply chain partners on organizational performance. Also, the moderation role of trust as an influential aspect in the business was also studied in this work. To conduct this research and meet the stated research objective, a quantitative research method was used to collect data from food products manufacturers in Jordan due to the main contribution of this sector to the national economy of Jordan. PLS-SEM approach was selected in the phase of analysis and the findings revealed a significant effect of all hypothesized research assumptions and a significant moderating effect of trust on the relationship between supply chain partners’ integration and organizational performance. The research findings also provided expected implications and supported the relevant evidence and literature in this area, as well it would contribute to cover the existing research knowledge gaps by integrating a new model including sets of new variables that have not been examined together within a single conceptual framework.

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.

Nowadays, global technologies, especially digital things, have become an important tool for businesses to maintain feasible partnerships and build a great value connection with other companies. New digital technologies that are emerging every day are on their way to affect nearly all business processes and activities. This study investigates the effect of the digital supply chain on the supply chain and organization performance in the Malaysia manufacturing industry. This paper also further assesses the mediating effect of supply chain performance in the relationship between the digital supply chain and the organizational performance in the Malaysia manufacturing industry. The objectives are achieved via quantitative research design. The researchers emailed the online survey questionnaire to 1160 manufacturing companies listed in the Federation of Malaysian Manufacturers (FMM) directory via stratified sampling technique and received 63 responses. 7 incomplete responses have been deleted and 56 usable responses representing 5.43% of the response rate used for data analysis. The data was analyzed by using the Partial Least Square Structural Equation Modeling (PLS-SEM). Three hypotheses are not supported and seven hypotheses are supported, which includes all the hypotheses of moderating effect. The manufacturing companies in Malaysia can consider adopting the DSC in the business process to remain reliable in the competitive market by providing good supply chain performance and best organizational performance as a whole. The implication of the study is given to academics and practitioners, specifically manufacturing companies. The limitations and the recommendation for future study have been highlighted.

In Malaysia, manufacturing industry is a major contributor to the economic advancement. As a result, cutting-edge technology like the internet of things (IoT) is projected to have a significant impact on business operations and supply chain management (SCM). However, research into the influence of IoT deployment on supply chains and organizational performance is relatively sparse. Therefore, this study is to determine the relationship between benefits and challenges of IoT adoption and organizational performance. Furthermore, this study looks into the mediating role of supply chain performance in the relationship between IoT adoption benefits and challenges and organizational performance. The population of this study is comprised of 3019 manufacturing companies in Malaysia, while the minimum sample size needed is 43 manufacturing companies.1160 complete set of survey questionnaire were distributed through email and 63 responses received representing five per cent of response rate. Partial Least Square Structural Equation Modelling (PLS-SEM) is used to assess all of the study's hypotheses. The results of this paper support six out of the seven hypotheses tested. In conclusion, the manufacturing industry in Malaysia needs to be exposed more to the benefits of IoT rather than keep discussing its challenges. This study can be a guideline to the manufacturing companies in decision making for IoT adoption. The limitations and recommendation for future study is highlighted.

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.

The widespread adoption of artificial intelligence (AI) technologies, including ChatGPT, into education, has become a focal point of attention in recent years. This research explores the connections among perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using ChatGPT (ATUC), and intention to use ChatGPT (ITUC) within Jordanian universities. A survey was employed to gather information from 523 university students in Jordan, and the hypotheses were examined using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings revealed that perceived usefulness and perceived ease of use positively impacted attitude toward using ChatGPT and intention to use ChatGPT. Attitude toward using ChatGPT positively impacted intention to use ChatGPT. Implications from this research are crucial to provide developers, instructors, and institutions in Jordan with useful information to help them successfully incorporate ChatGPT into the educational process.