Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/92371
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DC Field | Value | Language |
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dc.contributor.author | Kühnel, Stephan | - |
dc.contributor.author | Sackmann, Stefan | - |
dc.contributor.author | Damarowky, Johannes | - |
dc.contributor.author | Boehmer, Martin | - |
dc.date.accessioned | 2022-10-14T08:59:01Z | - |
dc.date.available | 2022-10-14T08:59:01Z | - |
dc.date.issued | 2022-09-15 | - |
dc.date.submitted | 2022-09-15 | - |
dc.identifier.uri | https://opendata.uni-halle.de//handle/1981185920/94323 | - |
dc.identifier.uri | http://dx.doi.org/10.25673/92371 | - |
dc.description.abstract | In this paper, we present the four-stage concept, implementation, application, and 2-stage evaluation of the tool EconBPC. EconBPC is a software artifact that emerged from a design science research initiative on the use of extensible event streams (XES). It was created to take a first step towards an automated activity-based monetary assessment of security and compliance measures in business processes and their addressee-oriented representation in a compliance view. For this purpose, EconBPC provides users with annotation features for XES and compliance processes, enables the storage of annotated log files, and the comparison of expenses for security and compliance activities with costs from associated regulatory breaches. | eng |
dc.language.iso | eng | - |
dc.publisher | Universitäts- und Landesbibliothek Sachsen-Anhalt | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | Business Processes Compliance | eng |
dc.subject | Process Mining | eng |
dc.subject | Annotation | eng |
dc.subject | Cost | eng |
dc.subject | XES | eng |
dc.subject | Event log | eng |
dc.subject | Log file | eng |
dc.subject.ddc | DDC::0** Informatik, Informationswissenschaft, allgemeine Werke | - |
dc.title | EconBPC: A Tool for Activity‐based Monetary Assessment and Visualization of Security and Compliance Measures in Business Processes | eng |
dc.type | Conference Object | - |
local.versionType | publishedVersion | - |
local.openaccess | true | - |
local.accessrights.dnb | free | - |
Appears in Collections: | Lehrstuhl für Betriebliches Informationsmanagement |
Files in This Item:
File | Description | Size | Format | |
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Kuehnel et al. 2022 EconBPC BPM Demo paper.pdf | 1.04 MB | Adobe PDF | View/Open |