Development of Talent Model based on Publication Performance using Apriori Technique

The main problem or challenge faced by Human Resource Management (HRM) is to recognize, develop and manage talent efficiently and effectively. This is because HRM is responsible for selecting the correct talent for suitable positions at the right time, aligned with their existing qualifications, talents and achievements. Furthermore, the decision in identifying talent for a position must be fair, truthful and appropriate. In the academic field, publication is a core component in the evaluation of academic talent that is affected by research, supervision and conference. Therefore, this study proposed an academic talent model based on publication factor using the Apriori technique for the purpose of promotion. This study applies the Apriori based Association Rules algorithm to identify a set of meaningful rules for the assessment of significant relevant talents for the promotion of academic staff in local universities. The findings have successfully developed a model based on talent acquisition of knowledge related to the issuance and have been evaluated by comparing the guidelines for the promotion of academic experts. This knowledge helps to improve the quality of the evaluation process of academic talent management and future planning in HRM.