Towards Academic Successor Selection Modelling with Genetic Algorithm in Multi-Criteria Problems

Abstract

Succession planning is a subset of talent management that deals with multi-criteria and uncertainties which are quite complicated, ambiguous, fuzzy and troublesome. Besides that, the successor selection involves the process of searching the best candidate for a successor for an optimal selection decision. In an academic scenario, the quality of academic staff contributes to achieving goals and improving the performance of the university at the international level. The process of selecting appropriate academic staff requires good criteria in decision-making. The best candidate's position and criteria for the selection of academic staff is the responsibility of the Human Resource Management (HRM) to select the most suitable candidate for the required position. The various criteria that are involved in selecting academic staff includes research publication, teaching skills, personality, reputation and financial performance. Previously, most studies on multi-criteria decision-making adopt Fuzzy Analytical Hierarchy Process (FAHP). However, this method is more complex because it involved many steps and formula and may not produce the optimum results. Therefore, Genetic Algorithm (GA) is proposed in this research to address this problem in which a fitness function for the successor selection is based on the highest fitness value of each chromosome.

Analysis of multi-criteria recommendation system based on fuzzy algorithm

“…Special effects could once more be separated into seem and graphics enhancements in a movie's system that recommends movies. Fuzzy is one strategy that may be employed to take into account the hierarchy of parameters, whereas further data with numerous layers of parameters can assist with comprehending the needs of users [1], [28], [29]. As a result, the selection of parameters could considerably impact the quality of the recommendations.…”

“…The problem of selecting an option is frequently emphasized [1]- [3] to help individuals in an environment find information or goods that are most likely to be interesting to them or related to their needs. In general, it is assumed that all individuals who use the system have been set as Individuals, and any items that might be suggested to them have been set as Items.…”

Utilizing Fuzzy Algorithm for Understanding Emotional Intelligence on Individual Feedback

“…Following that, behavioral scientists developed many EI models to describe how people process sensitive information about themselves and others. The few models that are most often used consider capacities [5][8], traits [7], and a mix of both [5]. The characteristics model [8] emphasizes an individual's capacity to assess their own inborn qualities, including flexibility, self-worth, and capacity for social interaction.…”

Analysis of Perceived Usefulness and Perceived Ease of Use in Relation to Employee Performance

“…Employee satisfaction is indeed increasingly difficult for businesses, especially a few in the smartphone industry. The key concern in employee happiness would regard its individuals as securities and the important determinant and doorway to performance and massive profits (Amara & Subramanian, 2020; Anaam, Magableh, et al, 2021;Hassan & Hamada, 2019;Liang, 2023;Zakuan et al, 2018). In conclusion, the most recent research investigated the impact of employee job satisfaction as a dependent factor, in addition to organizational characteristics (Jangizehi et al, 2023;Parapar et al, 2013;Shambour et al, 2016).…”

“…The impact of community and behavioral factors on website quality in e-CRM has been studied extensively. E-CRM aspects of employees have really been highlighted to effectively apply E-CRM (Amara & Subramanian, 2020; Anaam, Magableh, et al, 2021;Zakuan et al, 2018). The importance of many social aspects of website quality for profitable E-CRM is an important point of discussion.…”