Name
Title | ||
|---|---|---|
Impact of visualization type and contextual factors on performance with enterprise resource planning systems |
Abstract | ||
|---|---|---|
We studied the use of two types of graphic information visualization to support human operators performing tasks using enterprise resource planning systems (ERP). We compared the original display design of a commercial ERP system with a prototype information visualization design. A simulated supply chain was used to test the hypothesis that graphical visualization can improve the performance of the human operator using ERP systems for supply chain management. Tasks from the production and purchasing domains were tested in the experiment in which experienced and inexperienced human operators had to perform tasks of an easy, moderate, and difficult nature. Analysis of the results revealed that the two types of graphical visualization significantly reduced response time, particularly with inexperienced users performing difficult tasks. Our results imply that some graphic information visualization displays for ERP systems can increase the probability of a successful implementation and enhance the capabilities of the human operators. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.cie.2006.11.002 | Computers & Industrial Engineering |
Keywords | Field | DocType |
erp system,enterprise resource planning system,graphic information visualization display,difficult nature,information visualization,visualization type,supply chain management,human operator,prototype information visualization design,contextual factor,enterprise resource planning systems (erp),human operators,commercial erp system,difficult task,graphical visualization,inexperienced human operator,graphic information visualization,supply chain | Enterprise resource planning,Information visualization,Visualization,Computer science,Human resource management system,Supply chain management,Purchasing,Supply chain,Operator (computer programming),Operations management | Journal |
Volume | Issue | ISSN |
52 | 1 | Computers & Industrial Engineering |
Citations | PageRank | References |
9 | 0.55 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Avi Parush | 1 | 198 | 22.17 |
| Adi Hod | 2 | 9 | 0.55 |
| Avy Shtub | 3 | 24 | 2.41 |