{"title":"Help to find the needle in a haystack: integrating recommender systems in an IT supported staff recruitment system","authors":"Sven Laumer, Andreas Eckhardt","doi":"10.1145/1542130.1542133","DOIUrl":null,"url":null,"abstract":"Despite the benefits of information technology for corporations in staff recruitment (reduced time and costs per hire) the increased use also led to glut of applications especially in major enterprises. Therefore the companies forced to find the best candidate in times of a \"War for Talent\" need help to find this needle in a haystack. This help could be provided by recommender systems predominately used in e-commerce to recommend products or services to customers purchasing specific products. Recommender systems could assist the recruiter to find the adequate candidate within the applicant's database. In order to support this search and selection process we conduct a design science approach to integrate recommender systems in a holistic e-recruiting architecture and therewith provide a complete and new solution for IT support in staff recruitment.","PeriodicalId":373151,"journal":{"name":"SIGMIS CPR '09","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMIS CPR '09","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1542130.1542133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 26
Abstract
Despite the benefits of information technology for corporations in staff recruitment (reduced time and costs per hire) the increased use also led to glut of applications especially in major enterprises. Therefore the companies forced to find the best candidate in times of a "War for Talent" need help to find this needle in a haystack. This help could be provided by recommender systems predominately used in e-commerce to recommend products or services to customers purchasing specific products. Recommender systems could assist the recruiter to find the adequate candidate within the applicant's database. In order to support this search and selection process we conduct a design science approach to integrate recommender systems in a holistic e-recruiting architecture and therewith provide a complete and new solution for IT support in staff recruitment.