Sokhna Faye Bessane, M. Camara, Ibrahima Fall, A. Bah
{"title":"Causal model of performance measurement systems by combining qualitative and quantitative models for robust results","authors":"Sokhna Faye Bessane, M. Camara, Ibrahima Fall, A. Bah","doi":"10.1109/ISACV.2018.8354076","DOIUrl":null,"url":null,"abstract":"Recent research often suggests ideas about quantitative or qualitative causal models of performance measurement systems. We also rely on some works that develop ideas on causal models of SMP. This research has highlighted two approaches in the study of causal models of performance measurement systems: the quantitative and qualitative approach. Indeed, the qualitative models lack precision and the qualitative models are confronted with problems of data collection in hierarchical level deployment. Therefore, it should be noted that the combination of these two methods is very rare or non-existent for the SMPs. Hence the idea of proposing a model that combines the two, because these approach also have certain limits. According to our studies we note a complementarity because to combine these two methods reinforces the richness and the validity of the results.","PeriodicalId":184662,"journal":{"name":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Intelligent Systems and Computer Vision (ISCV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISACV.2018.8354076","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Recent research often suggests ideas about quantitative or qualitative causal models of performance measurement systems. We also rely on some works that develop ideas on causal models of SMP. This research has highlighted two approaches in the study of causal models of performance measurement systems: the quantitative and qualitative approach. Indeed, the qualitative models lack precision and the qualitative models are confronted with problems of data collection in hierarchical level deployment. Therefore, it should be noted that the combination of these two methods is very rare or non-existent for the SMPs. Hence the idea of proposing a model that combines the two, because these approach also have certain limits. According to our studies we note a complementarity because to combine these two methods reinforces the richness and the validity of the results.