REA analysis of SAP HCM; some initial findings

FALLON, Richard and POLOVINA, Simon (2013). REA analysis of SAP HCM; some initial findings. In: ANDREWS, Simon and DAU, Frithjof, (eds.) Proceedings of the 3rd CUBIST (Combining and Uniting Business Intelligence with Semantic Technologies) Workshop. CEUR-WS.org, 31-43.

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Abstract

This paper explores further the claim that the Transaction-Oriented Architecture (TOA) based on the principles of Resources, Events, Agents (REA) can enhance Enterprise Resource Planning (ERP) systems by providing a principled theoretical basis that can underpin ERP business process implementations. We provide details of some of our initial findings of the REA/TOA analysis which we carried out on the SAP Human Capital Management (HCM) module. Given that SAP is recognized as the dominant ERP system with over 50% of the market share, this technology is viewed as the representative case study technology for exploring the theory of REA in actual ERP systems. In particular O’Leary’s and Dunn et al.’s works are expanded upon, substantiating O’Leary’s findings that SAP was found to be consistent with REA in its database, semantic and structure orientations. Using SAP’s HCM module as the exemplar, two notable discoveries are made. These are namely (i) identifying that several anomalies exist in the underlying data model, and (ii) that there are many more REA entities than previously discovered by Dunn et al. Through the SAP HCM exemplar it is shown that REA adds value to modelling business processes in ERP systems.

Item Type: Book Section
Additional Information: Proceedings of the 3rd CUBIST (Combining and Uniting Business Intelligence with Semantic Technologies) Workshop co-located with the 11th International Conference on Formal Concept Analysis (ICFCA 2013) Dresden, Germany, May 22, 2013.
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Page Range: 31-43
Depositing User: Helen Garner
Date Deposited: 11 Oct 2013 11:21
Last Modified: 18 Mar 2021 15:50
URI: https://shura.shu.ac.uk/id/eprint/7439

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