Assessment of the relationship between Knowledge Management and Effectiveness of Intelligent Decision Support System (IDSS) in Iranian Banks
| dc.contributor.author | Sahraei, Shaghayegh | |
| dc.contributor.supervisor | Prof. Mohammed Quaddus | en_US |
| dc.date.accessioned | 2017-08-04T08:12:03Z | |
| dc.date.available | 2017-08-04T08:12:03Z | |
| dc.date.issued | 2015 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/54106 | |
| dc.description.abstract |
This study has developed a comprehensive integrated research model to determine the impacts of KM on the effectiveness of IDSS and on the quality of decisions that are made using IDSS. Partial least squares (PLS)-based structural equation modelling is employed to test the theoretical model. Results suggest that the use of KM techniques can enhance a bank’s performance if intelligent tools are integrated with the decision support system and appropriately utilized to improve decision quality. | en_US |
| dc.publisher | Curtin University | en_US |
| dc.title | Assessment of the relationship between Knowledge Management and Effectiveness of Intelligent Decision Support System (IDSS) in Iranian Banks | en_US |
| dc.type | Thesis | en_US |
| dcterms.educationLevel | PhD | en_US |
| curtin.department | Graduate School of Business | en_US |
| curtin.accessStatus | Open access | en_US |
| curtin.faculty | Business | en_US |