DocumentCode :
245582
Title :
A Framework for Inter-Organizational Performance Analysis from EDI Messages
Author :
Krathu, Worarat ; Pichler, Christian ; Engel, Robert ; Zapletal, Marco ; Werthner, Hannes ; Huemer, Christian
Author_Institution :
Inst. of Software Technol. & Interactive Syst., Vienna Univ. of Technol., Vienna, Austria
Volume :
1
fYear :
2014
fDate :
14-17 July 2014
Firstpage :
17
Lastpage :
24
Abstract :
The evaluation of an organization´s performance may also consider the assessment of inter-organizational relationships (IORs). However, the evaluation of IORs is typically based on success factors, such as trust, which are difficult to be measured quantitatively. In this paper, we present a framework supporting inter-organizational performance evaluation which integrates (i) a bottom-up approach supporting the identification of Key Performance Indicators (KPIs) from business information, event logs, as well as process models, and (ii) a top-down approach for measuring business performance on the strategic level based on the Balanced Scorecard (BSC) method. In order to prove the feasibility of the framework, we present an inter-organizational performance analysis case study of a beverage manufacturing company. The case study shows that the framework enables (i) the derivation of quantifiable KPIs from operational data and (ii) the alignment of KPIs with business objectives allowing an evaluation of IORs on the strategic level.
Keywords :
beverage industry; business data processing; organisational aspects; BSC method; EDI messages; IOR assessment; KPI identification; balanced scorecard method; beverage manufacturing company; bottom-up approach; business information; event logs; inter-organizational performance analysis framework; inter-organizational performance evaluation; inter-organizational relationship assessment; key performance indicator identification; operational data; process models; strategic level business performance measurement; success factors; top-down approach; Aggregates; Bismuth; Business; Data mining; Measurement; Ontologies; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Informatics (CBI), 2014 IEEE 16th Conference on
Conference_Location :
Geneva
Type :
conf
DOI :
10.1109/CBI.2014.19
Filename :
6904132
Link To Document :
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