An extension of the technology acceptance model in an ERP implementation environment
Information and Management
A balanced scorecard based framework for assessing the strategic impacts of ERP systems
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Computers and Operations Research
Reliability Evaluation for an Information Network With Node Failure Under Cost Constraint
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A structural equation model for analyzing the impact of ERP on SCM
Expert Systems with Applications: An International Journal
AICI '09 Proceedings of the International Conference on Artificial Intelligence and Computational Intelligence
Segmenting and mining the ERP users' perceived benefits using the rough set approach
Expert Systems with Applications: An International Journal
Evaluation systems and methods of enterprise informatization and its application
Expert Systems with Applications: An International Journal
Fuzzy-scorecard based logistics management in robust SCM
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
| Hi-index | 12.06 |
An enterprise resource planning (ERP) system is a complex network composed of various business processes. This paper proposes a method based on stochastic-flow network model to evaluate the performance of an ERP system depending upon the fuzzy linguistic results of the ERP examination of the users involved. The nodes in the network denote the persons responsible for the business tasks during the processes. The arcs between nodes denote the process precedence relationships in the ERP system. When the process starts, the documents are initiated from the source node to its succeeding nodes. Finally, the documents are released in the destination node. Thus, the performance of an ERP system is related to the document flow under the network. The failure of an ERP system is therefore described as in the condition that the flow of the system is under the acceptable level d. By using the fuzzy linguistic results of the ERP examination of the users, we propose a fuzzy linguistic performance index, defuzzified from the probability of maximal flow not less than d, to evaluate the performance of an ERP system. An algorithm is subsequently proposed to generate the performance index, which can be used to assess the system performance either before or after the system going live.