Employability Distress: Factors Affecting ICT Graduates’ Employability and Work Integration in the Workspace

Abstract

There has been an ongoing debate on the subject of graduate unemployability in South Africa and the extent to which it has affected academic graduates. The growing consensus regarding intensifying levels of graduate employability distress today is explicitly supported theoretically in a number of research studies. This is despite the considerable efforts that have historically been made concerning the graduate labour force and their probable ramifications in the context of South Africa’s far-reaching labour market issues. A number of scholars both in the past and the present have identified several issues emerging from the heterogeneity of the quality of education, graduates’ capabilities and skills competencies, higher education institutions’ involvement in the industries and employers’ requirements for employment. This study aimed to explore the views that graduates conceive about employability and stress, reason for their unemployment and identify the factor that causes them to be unemployed and decisively suggest way to address these challenges. A quantitative approach and a questionnaire were used. A total of 195 questionnaires from graduates/students in the College of Business and Economics were recovered and usable. The findings reveal a paradox in the increased level of ICT graduate unemployment and skills mismatch and shortages. This has been attributed mostly to organisational changes which may have given rise to misalignment between the skills that graduates currently have and those that employers seek from graduates. Findings suggest that the kind of education obtained, graduates’ incapability to apply the skills received and work experience are factors hindering employability.

Financial Credit Risk Control Strategy Based on Weighted Random Forest Algorithm

“…e study in [12] proposed a financial credit risk assessment method based on particle swarm optimization algorithm. On the basis of fully demonstrating the supply chain financial risk characteristic index system, a binary particle swarm optimization algorithm is used to optimize the feature subset, and the support vector machine (SVM) parameters are co-optimized to obtain the financial credit risk classification assessment results.…”

“…In order to fully verify the performance of the proposed method, comparative verification experiments are carried out. e experimental scheme is set as follows: taking the accuracy of financial credit risk data classification and risk assessment as the experimental comparison index, the proposed method is compared with the financial credit risk assessment method based on particle swarm optimization algorithm proposed in [12] and the financial credit risk assessment method based on stack noise reduction self-coding network proposed in [13].…”

Design of Automatic Integration Algorithm for Popular Science Microanimation Works in the Context of New Media

“…is interaction brings more creative inspiration to educational "microanimation." rough instant interaction and communication, netizens show the most life-like things [13]. All the Internet languages are produced by netizens, "micro-animation" became popular, and its role is to conduct more research on the audience's mentality.…”

Digital Universal Financial Credit Risk Analysis Using Particle Swarm Optimization Algorithm with Structure Decision Tree Learning-Based Evaluation Model

“…e author in [13] built a new P2P credit risk measurement model based on classic credit risk and NN model which are utilized to produce better findings through simulation. e standard credit risk measuring model was combined with SVM and actual study on loan default in [14]. e borrower's loan amount, current overdue loan amount, loan interest rate, credit rating, debt yield, and other parameters are used as independent variables by the researcher in [15], who builds a LR method for testing and gets good results.…”