{"title":"招聘适宜性指标算法研究","authors":"Karunamoy Maji, Dr. A. B. Bera","doi":"10.1109/NCETSTEA48365.2020.9119944","DOIUrl":null,"url":null,"abstract":"the recruitment process is a key function for HR division in any organization and is the initial step towards creating strength. Selecting fresh members with appropriate knowledge and skill is a challenging assignment for the selection committee experts/reviewers. Selection needs an extensive effort and cost which becomes more prominent while the organization hires entry-level professionals.Previous studies found that during shortlisting, candidates are filtered based on essential and additional criteria. While AHP and FAHP have been used in recent years for this purpose, we find the suitability index algorithm more promising. In this research work, we propose to develop a ranking algorithm for the recruitment of employees in a reputed academic institution.To create an employability index as a reference for finalizing eligibility of candidates in the future recruitment process for the same cadre of employees. The additional criteria may be generated from the employability index and the suitability score (rank) will be formed by using basic and additional criteria during the short-listing process for the upcoming recruitment cycle.","PeriodicalId":267921,"journal":{"name":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Developing a Suitability Index Algorithm for Recruitment\",\"authors\":\"Karunamoy Maji, Dr. A. B. Bera\",\"doi\":\"10.1109/NCETSTEA48365.2020.9119944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the recruitment process is a key function for HR division in any organization and is the initial step towards creating strength. Selecting fresh members with appropriate knowledge and skill is a challenging assignment for the selection committee experts/reviewers. Selection needs an extensive effort and cost which becomes more prominent while the organization hires entry-level professionals.Previous studies found that during shortlisting, candidates are filtered based on essential and additional criteria. While AHP and FAHP have been used in recent years for this purpose, we find the suitability index algorithm more promising. In this research work, we propose to develop a ranking algorithm for the recruitment of employees in a reputed academic institution.To create an employability index as a reference for finalizing eligibility of candidates in the future recruitment process for the same cadre of employees. The additional criteria may be generated from the employability index and the suitability score (rank) will be formed by using basic and additional criteria during the short-listing process for the upcoming recruitment cycle.\",\"PeriodicalId\":267921,\"journal\":{\"name\":\"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NCETSTEA48365.2020.9119944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 National Conference on Emerging Trends on Sustainable Technology and Engineering Applications (NCETSTEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCETSTEA48365.2020.9119944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Developing a Suitability Index Algorithm for Recruitment
the recruitment process is a key function for HR division in any organization and is the initial step towards creating strength. Selecting fresh members with appropriate knowledge and skill is a challenging assignment for the selection committee experts/reviewers. Selection needs an extensive effort and cost which becomes more prominent while the organization hires entry-level professionals.Previous studies found that during shortlisting, candidates are filtered based on essential and additional criteria. While AHP and FAHP have been used in recent years for this purpose, we find the suitability index algorithm more promising. In this research work, we propose to develop a ranking algorithm for the recruitment of employees in a reputed academic institution.To create an employability index as a reference for finalizing eligibility of candidates in the future recruitment process for the same cadre of employees. The additional criteria may be generated from the employability index and the suitability score (rank) will be formed by using basic and additional criteria during the short-listing process for the upcoming recruitment cycle.