Pub Date : 2021-03-18DOI: 10.1016/J.DSS.2021.113543
Yueyue Zhang, Cheng Zhang, Y. Xu
{"title":"Effect of data privacy and security investment on the value of big data firms","authors":"Yueyue Zhang, Cheng Zhang, Y. Xu","doi":"10.1016/J.DSS.2021.113543","DOIUrl":"https://doi.org/10.1016/J.DSS.2021.113543","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"22 1","pages":"113543"},"PeriodicalIF":0.0,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81358072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-18DOI: 10.1016/J.DSS.2021.113547
Ziru Li, Benjamin B. M. Shao, M. Goul
{"title":"A model of two-zoned network for platform competition","authors":"Ziru Li, Benjamin B. M. Shao, M. Goul","doi":"10.1016/J.DSS.2021.113547","DOIUrl":"https://doi.org/10.1016/J.DSS.2021.113547","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"14 1","pages":"113547"},"PeriodicalIF":0.0,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85922895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-05DOI: 10.1016/J.DSS.2021.113541
Dorenda Slof, F. Frasincar, Vladyslav Matsiiako
{"title":"A competing risks model based on latent Dirichlet Allocation for predicting churn reasons","authors":"Dorenda Slof, F. Frasincar, Vladyslav Matsiiako","doi":"10.1016/J.DSS.2021.113541","DOIUrl":"https://doi.org/10.1016/J.DSS.2021.113541","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"4 1","pages":"113541"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79883227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-01DOI: 10.1016/J.DSS.2021.113560
G. Phillips-Wren, Mary Daly, F. Burstein
{"title":"Reconciling business intelligence, analytics and decision support systems: More data, deeper insight","authors":"G. Phillips-Wren, Mary Daly, F. Burstein","doi":"10.1016/J.DSS.2021.113560","DOIUrl":"https://doi.org/10.1016/J.DSS.2021.113560","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"39 1","pages":"113560"},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75146536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-27DOI: 10.1016/J.DSS.2021.113537
T. Pourhabibi, K. Ong, B. Kam, Yee Ling Boo
{"title":"DarkNetExplorer (DNE): Exploring dark multi-layer networks beyond the resolution limit","authors":"T. Pourhabibi, K. Ong, B. Kam, Yee Ling Boo","doi":"10.1016/J.DSS.2021.113537","DOIUrl":"https://doi.org/10.1016/J.DSS.2021.113537","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"9 1","pages":"113537"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76757716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.1016/j.dss.2020.113423
J. Hyeong, K. Choi, Jae Young Lee, Tae-Hyung Pyo
{"title":"For whom does a game update? Players' status-contingent gameplay on online games before and after an update","authors":"J. Hyeong, K. Choi, Jae Young Lee, Tae-Hyung Pyo","doi":"10.1016/j.dss.2020.113423","DOIUrl":"https://doi.org/10.1016/j.dss.2020.113423","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"216 1","pages":"113423"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73481610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-12-01DOI: 10.1016/j.dss.2020.113424
Qiping Wang, Raymond Y. K. Lau, Kai Yang
{"title":"Does the interplay between the personality traits of CEOs and CFOs influence corporate mergers and acquisitions intensity? An econometric analysis with machine learning-based constructs","authors":"Qiping Wang, Raymond Y. K. Lau, Kai Yang","doi":"10.1016/j.dss.2020.113424","DOIUrl":"https://doi.org/10.1016/j.dss.2020.113424","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"42 1","pages":"113424"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90375762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Appointment no-shows are disruptive to healthcare clinics, and may increase patient waiting time and clinic overtime, resulting in increased clinic costs. Appointment scheduling models typically mitigate the negative effects of no-shows through appointment overbooking. Recent work has proposed a predictive overbooking framework, where a probabilisitic classifier predicts the no-show probability of individual appointment requests, and a scheduling algorithm uses those predictions to optimally schedule appointments. Because predicting no-shows is typically an imbalanced classification problem, the preferred classifier is often chosen based upon the area under the receiver operator characteristic curve (AUC), which is a commonly used metric for many other imbalanced classification problems. Contrary to intuition, in this paper we show that employing the AUC to select a classifier results in significantly lower schedule efficiency than using other metrics such as Log Loss or Brier Score. Our computational experiments, validated on large real-world appointment data, suggest that by using Log Loss or Brier Score instead of AUC, practitioners can improve the schedule quality by 3–7%.
{"title":"On selecting a probabilistic classifier for appointment no-show prediction","authors":"Shannon L. Harris, Michele Samorani","doi":"10.2139/ssrn.3631887","DOIUrl":"https://doi.org/10.2139/ssrn.3631887","url":null,"abstract":"Abstract Appointment no-shows are disruptive to healthcare clinics, and may increase patient waiting time and clinic overtime, resulting in increased clinic costs. Appointment scheduling models typically mitigate the negative effects of no-shows through appointment overbooking. Recent work has proposed a predictive overbooking framework, where a probabilisitic classifier predicts the no-show probability of individual appointment requests, and a scheduling algorithm uses those predictions to optimally schedule appointments. Because predicting no-shows is typically an imbalanced classification problem, the preferred classifier is often chosen based upon the area under the receiver operator characteristic curve (AUC), which is a commonly used metric for many other imbalanced classification problems. Contrary to intuition, in this paper we show that employing the AUC to select a classifier results in significantly lower schedule efficiency than using other metrics such as Log Loss or Brier Score. Our computational experiments, validated on large real-world appointment data, suggest that by using Log Loss or Brier Score instead of AUC, practitioners can improve the schedule quality by 3–7%.","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"96 1","pages":"113472"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74482902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-10-01DOI: 10.1016/j.dss.2020.113381
Qi Liu, G. Feng, Xi Zhao, Wenlong Wang
{"title":"Minimizing the data quality problem of information systems: A process-based method","authors":"Qi Liu, G. Feng, Xi Zhao, Wenlong Wang","doi":"10.1016/j.dss.2020.113381","DOIUrl":"https://doi.org/10.1016/j.dss.2020.113381","url":null,"abstract":"","PeriodicalId":11156,"journal":{"name":"Decis. Support Syst.","volume":"21 1","pages":"113381"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78670354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}