Mobile Applications offer a new style to service sectors, for instance, in higher education, mobile applications are utilized to provide access to academic resources and academic services. Despite the wealth of mobile applications, they encounter various challenges that have attracted the interest of academia and software developers. The usability issues of mobile applications may cause performance degradation, resulting in the company's loss in terms of cost. This study aims to investigate the usability of the Prince Sattam bin Abdulaziz University (PSAU) mobile application by adopting data mining as a descriptive and predictive process. The first step was gathering data of the usability of the PSAU mobile application using the system usability scale. Afterwards, data was preprocessed into a suitable format to apply data mining methods. Specifically, the explanatory model has been employed to describe and investigate insights related to the usability factors and features of the PSAU mobile application. Furthermore, this study adopted the Four Clustering methods to segment the usability levels of the PSAU mobile application into homogenous groups based on user behavior. Additionally, the predictive model was used to build models for predicting the usability level and Grade and five classification algorithms were employed to predict the usability level and Grade. Most algorithms have given positive results in all performance indicators, where the accuracy rate achieved is 98% to 95% for most methods. The results revealed that the PSAU mobile application has an acceptable usability level, and the data mining methods helped to discover hidden patterns. Furthermore, the findings will help the developers and policymakers understand users' and stakeholders' behavior to find the most common usability problems for each group, and customize the PSAU mobile application.

Since COVID-19 became a pandemic, the global economy has been dramatically affected. Not just that, the consumer behavior in the retail market has also changed. This paper aims to examine the effect of the coronavirus crisis on consumer behavior in retail services. The paper will focus on retail banking services, especially the Jordanian banking sector. The goal of the study was achieved by conducting a survey among Jordanian consumers in the retail banking sector, which was done using questionnaires, a sample of 240 retail customers from 14 valid participants. The paper brings new insight into how the pandemic affected retail banking services and proves the acceptance of online and banking in the conceptual model. The results show that the variables around attitudes toward the internet and mobile banking were directly and positively affected by the variables related to the perception of the pandemic's impact on the consumer's lifestyle. Other variables such as the safety of using online and mobile banking services and phones also contributed to this rise in a positive attitude. The Trust in Mobile and internet banking has several administrative and social implications, which were also discussed. Because new consumption behavior models are being developed, mobile and internet services could prevail even after the later stages of the epidemic. Initiatives to provide online educational programs, especially financial courses, should be intensified by the banks in Jordan to enable their customers to be familiar with the use of the banks' online banking services. They should enhance their communication with their customers and offer new products and services while also showing flexibility while negotiating to refinance and loaning terms.