Optimization of enterprise analysis model for KPI selection
author
Kaganski, Sergei
Eerme, Martin
Tungel, Ernst
statement of authorship
Sergei Kaganski, Martin Eerme, and Ernst Tungel
source
Proceedings of the Estonian Academy of Sciences
publisher
Estonian Academy Publishers
journal volume number month
vol. 68, 4
year of publication
2019
pages
p. 371–375 : ill
url
http://www.kirj.ee/32654/?tpl=1061&c_tpl=1064
https://doi.org/10.3176/proc.2019.4.04
subject term
ettevõtted
analüüs
tootlikkus
indikaatorid (andmed)
keyword
key performance indicators (KPIs)
KPIs selection model
enterprise analysis model (EAM)
outlier’s detection methods
ISSN
1736-6046
notes
Bibliogr.: 24 ref
Kokkuvõte: Ettevõtte analüüsi mudeli optimeerimine võtmenäitajate valikuks
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/11500153303
https://www.scopus.com/record/display.uri?eid=2-s2.0-85074645023&origin=inward&txGid=8029c3111a281f6bf71aa9c4dad72b05
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=P%20EST%20ACAD%20SCI&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000505921600005
category (general)
Engineering
Tehnika
category (sub)
Engineering. General engineering
Tehnika. Üldine inseneriteadus
quartile
Q2
TalTech department
mehaanika ja tööstustehnika instituut
language
inglise
Reserch Group
Built environment research group
Advanced structures and products