{"title":"COMPARISON OF SEMI-MARKOV AND MARKOV MODELS IN A PERSONNEL FORECASTING APPLICATION","authors":"Richard Valliant, George Milkovich","doi":"10.1111/j.1540-5915.1977.tb01095.x","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>This paper reports an exploratory study of the development, application, and evaluation of a semi-Markov model which forecasts personnel mobility rates within a major employer. The accuracy of the model is investigated by comparing the results generated by it to the results from a simple Markov model and to the observed behavior within the organization.</p>\n </div>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"8 2","pages":"465-477"},"PeriodicalIF":2.8000,"publicationDate":"1977-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1111/j.1540-5915.1977.tb01095.x","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"DECISION SCIENCES","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/j.1540-5915.1977.tb01095.x","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 7
Abstract
This paper reports an exploratory study of the development, application, and evaluation of a semi-Markov model which forecasts personnel mobility rates within a major employer. The accuracy of the model is investigated by comparing the results generated by it to the results from a simple Markov model and to the observed behavior within the organization.
期刊介绍：
Decision Sciences, a premier journal of the Decision Sciences Institute, publishes scholarly research about decision making within the boundaries of an organization, as well as decisions involving inter-firm coordination. The journal promotes research advancing decision making at the interfaces of business functions and organizational boundaries. The journal also seeks articles extending established lines of work assuming the results of the research have the potential to substantially impact either decision making theory or industry practice. Ground-breaking research articles that enhance managerial understanding of decision making processes and stimulate further research in multi-disciplinary domains are particularly encouraged.
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