Vartika Kapoor, A. K. Agarwal, Poornima Mathur, Shailendra Singh, Aditya Gupta
{"title":"A Structural equational Model Depicting Retention Strategy for Women Employee","authors":"Vartika Kapoor, A. K. Agarwal, Poornima Mathur, Shailendra Singh, Aditya Gupta","doi":"10.1109/ICIPTM57143.2023.10117726","DOIUrl":null,"url":null,"abstract":"The study examines the factors influencing the retention of female professionals. It also aims to identify if these professionals voluntarily leave the workforce or are pushed out. For this paper, the survey method has been used to research the formulated hypotheses. A self-structured questionnaire with closed-ended questions was circulated to collect the data. Structural Equation Modelling (SEM) has been used to analyse the data acquired. Findings noted that self-motivation is the primary factor followed by the supply chain. Further promptness, reliability and maintainability are the least important factors for performance excellence. The validated model can be applied to assess the factors which cause these women to either opt-out or push out of the workforce.","PeriodicalId":178817,"journal":{"name":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIPTM57143.2023.10117726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The study examines the factors influencing the retention of female professionals. It also aims to identify if these professionals voluntarily leave the workforce or are pushed out. For this paper, the survey method has been used to research the formulated hypotheses. A self-structured questionnaire with closed-ended questions was circulated to collect the data. Structural Equation Modelling (SEM) has been used to analyse the data acquired. Findings noted that self-motivation is the primary factor followed by the supply chain. Further promptness, reliability and maintainability are the least important factors for performance excellence. The validated model can be applied to assess the factors which cause these women to either opt-out or push out of the workforce.