Diabetes mellitus is a serious health disease that affects people all over the world. The number of persons identified with diabetes mellitus rises each year. α -Glucosidase is a digestive enzyme used to control diabetes mellitus. The searching for new potent α-glucosidase inhibitors capable of delaying carbohydrate digestion in the human body is an important strategy towards control of diabetes mellitus. In this work, a series of quinoline-based Schiff base derivatives already identified as α-glucosidase inhibitory activity was studied by using 2D/3D-QSAR approach. The best HQSAR/A-B-C-H-Ch-DA and CoMSIA/SEDA models were constructed using thirteen molecules in the training set, resulting in favorable values of Q2 (0.834 and 0.607), and high values of R2 (0.985 and 0.912), respectively. The generated HQSAR/A-B-C-H-Ch-DA and CoMSIA/SEDA contour plots were precious for designing and enhancing the α-glucosidase inhibitory activity of quinoline-based Schiff base molecules. Considering these results, two novel α-glucosidase compounds were designed to possess significant activity. The newly suggested molecules showed good outcomes in the preliminary in silico ADME/Tox evaluations. Molecular docking results revealed that the new designed inhibitors have a good stability in the active pocket of the studied receptor compared to voglibose, clinically used as an α-glucosidase inhibitor. MD simulation and MM-GBSA results confirmed the molecular docking outcomes. Finally, DFT analysis was useful in determining the most electrophilic and nucleophilic centers of the two designed α-glucosidase inhibitors.

This study aims to examine the factors affecting Jordanian Islamic banks’ customers’ adoption of electronic banks. The study relied on quantitative methods, where the study designed a questionnaire based on the Technology Acceptance Model (TAM) which derived from the Theory of Reasoned Action (TRA). The study sample consisted of 470 respondents. The study applied the Partial Least Squares Structural Equation Modeling (PLS-SEM), where the results of the Chi-square test and the standardized root mean square residual (SRMR) test showed the validity of the model for analysis. The results showed that usefulness, privacy, and awareness affect the adoption of e-banking, and that ease to use and electronic skills affect the adoption of e-banking through usefulness. The results also show that Infrastructure does not affect the adoption of e-banking, and Convenience does not affect the adoption of e-banking through Intention to use e-banking. The study advises Islamic banks to spread awareness about the importance of electronic banking and design easy-to-use electronic services that enjoy privacy and security.

The current study aims to determine the factors influencing the intention to employ digital libraries among postgraduate students in Jordanian universities. The data were gathered through questionnaires in the format of Google Forms. The questionnaires were distributed to postgraduate students enrolled in Jordanian universities with digital libraries, who were recruited via purposive sampling. A total of 261 responses were received, with 67 deemed unsuitable for the study analysis and subsequently excluded. Resultantly, 194 valid questionnaires were finalized for data analysis. The SMART-partial least squares (PLS) software was utilized to conduct structural equation modelling (SEM) to test the study hypotheses. This study discovered that the variables, namely performance expectancy, effort, and facilitating conditions expectancy, were significantly and positively associated with the outcome variable, which is the intention to employ digital libraries. Meanwhile, social influence was revealed to be insignificant. Performance expectancy also significantly mediated the correlations between technological readiness and the intention to utilize and between online self-efficacy and the intention to utilize. The present study focused only on potential users among postgraduate students at Jordanian universities with digital libraries. The findings contributed valuable insights into the academic sector, especially library management to enhance the rate of digital library or e-library adoption at Jordanian universities. Digital library managers and policymakers could leverage the findings to design pertinent strategies that increase user engagement within digital library environments. The UTAUT model was demonstrated to be capable of predicting users’ intentions of employing digital libraries and corroborated the mediation role of performance expectancy on the associations between technological readiness and the intention to utilize and between online self-efficacy and the intention to use.

This study evaluates the impact of project procurement strategies on supply chain efficiency in the Jordanian construction industry, with vendor relationship management as a mediating variable. The target population was the 25000 construction industry specialists in Jordan. According to purposeful sampling technique and more specifically, stratified random sampling, 454 subjects were asked to complete questionnaires. Partial least squares structural equation modeling was employed for the analysis of data for the test of the hypotheses. This research also revealed that the project procurement strategies which are Just-In-Time, Multiple Sourcing, and Single Sourcing have positive impacts with a statistical significance to the supply chain efficiency dimensions of Demand Forecasting, Supply Chain Integration and Collaboration and Communication. Vendor relationship management was also a partial mediator to these relations. These implications can be summed up for the construction firms and policymakers in Jordan to understand how strategic procurement approach and proper relations with the vendors can improve the performance of the supply chain. This work aims to benefit the academia as it fills a gap in the existing literature by analysing the relationship between procurement strategies, its actors (vendors), and supply chain performance within a developing country environment. The analysis with the help of PLS-SEM enables us to look at both the direct and the indirect effects in such relationships.

This paper aims to explore the influence of digital supply chain flexibility in five-star Hotels on smart quality systems together with its mediating effect through sustainable procurement practices within KSA. The methodology used is quantitative, based on data collected from a sample of five-star Hotels in KSA. Based on the above findings, this study argues about an integral part of DSCF (Digital Supply Chain Flexibility), SP and SQS for adopting theoretical framework. In this study, partial least squares-structural equation modelling (PLS-SEM) was used to validate the hypotheses. Digital supply chain flexibility has a significant positive relationship with sustainable procurement practices and smart quality systems in five-star Hotels. This means that actions such as fostering sustainable procurement practices could act on the ability of digital supply chain flexibility to boost smart quality systems, which play a role in enhancing operational efficiency and service quality. This paper contributes to the examination of various strategies for digital supply chains with sustainable procurement practices and creative quality systems within the hospitality sector; particularly focusing on KSA. Although the research findings are constrained to five-star Hotels from KSA they offer important directions for future research in different hospitality settings. These results provide practical information for hotels managers and policymakers on how digital supply chain flexibility, and sustainable procurement practices combined would contribute to the high-quality service provision as well as operational resilience of five-star Hotels. While these lessons have been drawn from the KSA market, they are also relevant to other hospitality markets with hospitality markets worldwide. This is the first study to examine Mediating Role of Sustainable Procurement and Digital Supply Chain Flexibility Impact on Smart Quality Systems Study in Five-Star Hospitals in KSA.

The paper presents a fresh empirical approach for clarifying the impact of Jordan's most prevalent forms of ownership on the link between the “fair value (FV)” model share of assets and auditing costs. Using information gathered from 105 Jordanian financial listed companies spanning 2005 to 2018, ordinary least squares regression is applied in this paper. While financial institution ownership variables cause the opposite to be observed, family ownership decreases the link among the share of assets at FV and audit expenses. Family ownership results in decreased auditing costs paid only for “Level 1” assets; conversely, the extremely uncertain FV assets “Level 2 & 3” show the opposite. Financial institutional ownership demonstrates that auditing FV Level 1 leads to higher auditing costs. When relating FV Levels 2 and 3, the moderating effect of financial institutional ownership was significantly negative. No significant moderating effect of government ownership is confirmed. The inconclusive and limited empirical explanation of audit costs resulting from the FV model from a Western setting motivates our investigation. This study is considered as a unique study as it takes into account the most prevalent types of ownership in the Jordanian context in the FV studies reviewing auditees in Jordan. New evidence is generated by documenting audit characteristics of Jordan, a developing country, and its institutional environment and compliance with the FV model. The results are useful to regulators and policymakers in regulating the auditing profession and resolving FV audit-related conflicts and issues.

The rapid advancement of technology has substantially impacted numerous sectors, including the banking industry. It is now apparent that the banking industry is affected by the innovative role that the Internet of Things (IoT) plays, which affects a multitude of operations and services. This study uses a quantitative approach and PLS-SEM to investigate the widespread impact of Internet of Things (IoT) technology on the Excel Performance of Islamic Banks in the UAE. The study integrates the Resource-Based View (RBV), Islamic Banking Theories, and Fraud Triangle Theory to create a complete framework. The research's reliability is supported by a sample of 407 replies from 504 participants. The findings strongly support the hypotheses that IoT integration improves Islamic banking performance in the UAE, such as data analytics, customer service, automation systems, fraud detection capabilities, and asset-backed finance, while aligning with Sharia Principles and improving risk-sharing mechanisms. However, the influence of IoT on escalating fraudulent activities and hence negatively impacting performance was not proven. The study emphasizes the importance of IoT in improving operational efficiency and customer satisfaction in Islamic banks in the UAE.

The global investment landscape has undergone a paradigm shift, focusing on Environmental, Social, and Governance (ESG) factors as the major determinants of financial sustainability in investment decisions worldwide. This study uses predictive modeling to analyze the complex link between ESG variables and investment decisions. Focusing on three key sectors: IT, FMCG, and BFS, the study adopts a predictive modeling approach, recognizing the distinct characteristics and challenges within each sector. The information depends on the data obtained from different places like ESG details, and previous financial performance pointers – EBITDA, EPS, ROE, and P/E for 2018 to 2022, inclusive of general investor behavior. We can do this by working with relevant sources of data together with machine learning methods which show what happens in the Indian market in terms of ESG influencing the market thus leading to sustainable investment outcomes. This article seeks to comprehend why investors may favor sustainability as opposed to their conventional monetary units.

This study was, therefore, set to achieve the following objective: to explore the impact of social media on consumers’ buying decisions. The current research was conducted on online consumers through luxury perfume brands' websites. The phenomenon of online sales has recently spread in Saudi Arabia, where the authorized number of those stores reached 1,800 sites at the end of 2021. The target population was online purchasing consumers from luxury perfume sellers. The appropriate sample size in unlimited populations is 385 responses. The research hypotheses were tested using the SEM (Structural Equation Modeling) method, which allows for the evaluation of the degree of dependence of consumers buying decisions on social media marketing. The results of the study demonstrated that social media marketing influences the consumer purchasing decision process. The outcome can be credited to the effectiveness of marketing efforts in the chosen retail via social media.

This study aims at exploring the effect of four elements of an integrated marketing mix. The mix consists of both elements of the 4Ps and SIVA marketing models. These elements are product-solution, promotion-information, place-access, and price-value. A questionnaire was used to collect the required data from a sample of retailing market customers in Saudi Arabia. The total number of the questionnaires used in data analysis was 378. The study found that product-solution and place-access from customers’ perspective had significant effects on customer retention. On the other hand, price-value had a negative significant effect on customer retention, while promotion-information had no effect on customer retention. Hence, companies are called for considering products as solutions, promotion as a source of information for customers, place as an access point for such a solution, and price must be appropriate to the value that the customer gets.