{"title":"A necessary clarification of the unfolding model of voluntary turnover","authors":"Gaëtan Mourmant","doi":"10.1145/1542130.1542159","DOIUrl":null,"url":null,"abstract":"The unfolding model of voluntary turnover, as tested by Niederman et al. [1], surprisingly appears to only capture 12% of the job leavers in IT, whereas when applied to other occupational groups, such as accountant or nurses, this ratio is much higher (respectively 92% and 77%). To address this issue, we take a closer look at the classification rules of the original model and we clarify them, highlighting the discrepancy between figure 1 of Lee et al. [2] and their written explanations, [3], [2]. Acknowledging a lack of clarity of those rules, we clarify the meaning of the logical impossibility of the joint existence of an engaged script with a search/evaluation of alternatives. In addition, we discuss the path-switching approach, [3]. Considering this clarification of the classification rules, we recalculate the results of two previous studies ([1] [4]) and we compare and assess those results with the other replications of the model. Those results suggest that a more parsimonious model (i.e. only path 1, 3 and 4b, with engaged script only present in path 1) may be sufficient to capture the majority of those leaving jobs in IT (74% and above).","PeriodicalId":373151,"journal":{"name":"SIGMIS CPR '09","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SIGMIS CPR '09","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1542130.1542159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
The unfolding model of voluntary turnover, as tested by Niederman et al. [1], surprisingly appears to only capture 12% of the job leavers in IT, whereas when applied to other occupational groups, such as accountant or nurses, this ratio is much higher (respectively 92% and 77%). To address this issue, we take a closer look at the classification rules of the original model and we clarify them, highlighting the discrepancy between figure 1 of Lee et al. [2] and their written explanations, [3], [2]. Acknowledging a lack of clarity of those rules, we clarify the meaning of the logical impossibility of the joint existence of an engaged script with a search/evaluation of alternatives. In addition, we discuss the path-switching approach, [3]. Considering this clarification of the classification rules, we recalculate the results of two previous studies ([1] [4]) and we compare and assess those results with the other replications of the model. Those results suggest that a more parsimonious model (i.e. only path 1, 3 and 4b, with engaged script only present in path 1) may be sufficient to capture the majority of those leaving jobs in IT (74% and above).