Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/35436
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dc.contributor.authorCaliendo, Marcoen_US
dc.contributor.authorClement, Michelen_US
dc.contributor.authorPapies, Dominiken_US
dc.contributor.authorScheel-Kopeinig, Sabineen_US
dc.date.accessioned2008-10-20en_US
dc.date.accessioned2010-07-07T11:51:51Z-
dc.date.available2010-07-07T11:51:51Z-
dc.date.issued2008en_US
dc.identifier.piurn:nbn:de:101:1-2008112645en_US
dc.identifier.urihttp://hdl.handle.net/10419/35436-
dc.description.abstractMore than 70% of global e-mail traffic consists of unsolicited and commercial direct marketing, also known as spam. Dealing with spam incurs high costs for organizations, prompting efforts to try to reduce spam-related costs by installing spam filters. Using modern econometric methods to reduce the selection bias of installing a spam filter, we deploy a unique data setting implemented at a German university to measure the costs associated with spam and the costs savings of spam filters. The applied methodological framework can easily be transferred to estimate the effect of other IS technologies (e.g., SAP) implemented in organizations. Our findings indicate that central IT costs are of little relevance since the majority of spam costs stem from employees who spend working time identifying and deleting spam. The working time losses caused by spam are approximately 1,200 minutes per employee per year; these costs could be reduced by roughly 35% through the installation of a spam filter mechanism. The individual efficiency of a spam filter installation depends on the amount of spam that is received and on the level of knowledge about spam.en_US
dc.language.isoengen_US
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen_US
dc.relation.ispartofseries|aIZA discussion papers |x3755en_US
dc.subject.jelM12en_US
dc.subject.ddc330en_US
dc.subject.keywordSpamen_US
dc.subject.keywordspam filteren_US
dc.subject.keywordtreatment effectsen_US
dc.subject.keywordpropensity score matchingen_US
dc.subject.stwOnline-Werbungen_US
dc.subject.stwInformationssystemen_US
dc.subject.stwKostenen_US
dc.subject.stwPersonalkostenen_US
dc.subject.stwZutrittskontrolleen_US
dc.subject.stwKosten-Nutzen-Analyseen_US
dc.titleThe cost impact of spam filters: measuring the effect of information system technologies in organizationsen_US
dc.type|aWorking Paperen_US
dc.identifier.ppn58291129Xen_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-

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