MATEC Web of Conferences
Volume 44, 20162016 International Conference on Electronic, Information and Computer Engineering
|Number of page(s)||5|
|Section||Computer, Algorithm, Control and Application Engineering|
|Published online||08 March 2016|
An applicable approach for performance auditing in ERP
School of Economic and Management, Southeast University, 210008 Nanjing, China, PRC
2 Southeast University, Nanjing Audit University, 211815 Nanjing, China, PRC
a Corresponding author: email@example.com
This paper aims at the realistic problem of performance auditing in ERP environment. Traditional performance auditing methods and existing approaches for performance evaluation of ERP implementation could not work well, because they are either difficult to work or contains certain subjective elements. This paper proposed an applicable performance auditing approach for SAP ERP based on quantitative analysis. This approach consists of 3 parts which are system utilization, data quality and the effectiveness of system control. In each part, we provide the main process to conduct the operation, especially how to calculate the online settlement rate of SAP system. This approach has played an important role in the practical auditing work. A practical case is provided at the end of this paper to describe the effectiveness of this approach. Implementation of this approach also has some significance to the performance auditing of other ERP products.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.