{"title":"Techno-innovative solution in the form of neural expert system to address the problem of high attrition rate","authors":"Viral Nagori","doi":"10.1145/2979779.2979890","DOIUrl":null,"url":null,"abstract":"The paper presents the solution to address the problem of high attrition rate by the way of technology innovation in the form of neural expert system. The neural expert system evaluates the motivational preferences of the employees based on their demographics. Based on the evaluation, the system generates set of customized motivational strategies for each individual employee to motivate them and thus in turn helps to retain them for the longer duration. The paper also justifies the need for the techno-innovation to address the problem of high attrition rate. The research is based on the population of ICT employees working in Ahmedabad and Gandhinagar region of Gujarat state in India. The system has been implemented and provides more than 90% of the accuracy in prediction. The comparison with such other neural network based systems indicates that our system is above par in performance evaluation criteria.","PeriodicalId":298730,"journal":{"name":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Advances in Information Communication Technology & Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2979779.2979890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The paper presents the solution to address the problem of high attrition rate by the way of technology innovation in the form of neural expert system. The neural expert system evaluates the motivational preferences of the employees based on their demographics. Based on the evaluation, the system generates set of customized motivational strategies for each individual employee to motivate them and thus in turn helps to retain them for the longer duration. The paper also justifies the need for the techno-innovation to address the problem of high attrition rate. The research is based on the population of ICT employees working in Ahmedabad and Gandhinagar region of Gujarat state in India. The system has been implemented and provides more than 90% of the accuracy in prediction. The comparison with such other neural network based systems indicates that our system is above par in performance evaluation criteria.