The ability to predict graduates' employability to match labor market demands is crucial for any educational institution aiming to enhance students' performance and learning process as graduates' employability is the metric of success for any higher education institution (HEI). Especially information technology (IT) graduates, due to the evolving demand for IT professionals increased in the current era. Job mismatch and unemployment remain major challenges and issues for educational institutions due to the various factors that influence graduates' employability to match labor market needs. Therefore, this paper aims to introduce a predictive model using machine learning (ML) algorithms to predict information technology graduates' employability to match the labor market demands. Five machine learning classification algorithms were applied named Decision tree (DT), Gaussian Naïve Bayes (Gaussian NB), Logistic Regression (LR), Random Forest (RF), and Support Vector Machine (SVM). The dataset used in this study is collected based on a survey given to IT graduates and employers. The performance of the study is evaluated in terms of accuracy, precision, recall, and f1 score. The results showed that DT achieved the highest accuracy, and the second highest accuracy was achieved by LR and SVM.
Conversion from paper-based medical records to electronic Health Records provides significant benefits to healthcare. However, there are some challenges perceived by healthcare providers when implementing Electronic Health Records. This paper aims to present some guidelines to overcome barriers associated with implementing Electronic Health Records in developing countries. This paper also presents an overview of Electronic Health Records Barriers discussed in several studies and review some studies performed in developing countries to explore the implementation barriers of the Electronic Health Records.
E-CRM strives to enhance customer service, build relationships with customers, and keep key clients. E-CRM deals with technology, people, and processes and with the goal of fostering customer loyalty. This paper aims to investigate the relationship between E-CRM, service quality, customer satisfaction, trust, and loyalty in banking industry. In order to gather sufficient reviews, a literature review was carried out utilizing a number of corresponding publications that were indexed in reliable databases. A model that highlights the relation between E-CRM and customer satisfaction, service quality, trust, and loyalty is also shown in this study. The supervisors of administrative organizations can utilize this research's insights into E-CRM to build client loyalty and increase the revenue and profitability of their firm
The main objective of any educational institution is to provide its students with the best educational knowledge and experience so, they can be employed to meet the labor market demands. Due to the rapidly changing in the technology industry and the expanding need for information technology (IT) professionals. The mismatch between IT graduates and the needs of the labor market leads to their inability to employ and job misplacement. Therefore, this paper aims to identify the most significant factors affecting IT graduates' employability and their ability to compete in the local, regional, and international labor markets through a detailed literature review and by conducting two surveys, one for IT graduates and the other for IT employers. Then, data were collected and analyzed by Statistical Package for Social Sciences (SPSS) 28.0 to build our proposed framework which will integrate all factors and parties involved to enhance graduates’ employability to match the labor market demands. The proposed model will assist all parties in improving their plans for producing graduates who are skilled, knowledgeable, and meet the labor market demands.
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