Abstract
The measurement of organizational performance is perceived as an important managerial tool.
Effective measurement is often supported by dedicated information technology infrastructure, often termed as a Performance Measurement Systems (PMS). Such a system helps integrating and storing the performance-related data, processing it, and deploying it throughout the organization. To support these needs, PMS are often implemented today using Business Intelligence (BI) methodologies and technologies. PMS may assist implementing organizational strategy, align
employees with the derived targets and goals, and act as an effective tool for control and surveillance. Studies have suggested that, in the long run, these important benefits will have a positive impact in organization's performance. However, even though PMS have received considerable research attention, the claims regarding their major impact on organizational performance are yet to be supported by rigorous evidence.
Effective measurement is often supported by dedicated information technology infrastructure, often termed as a Performance Measurement Systems (PMS). Such a system helps integrating and storing the performance-related data, processing it, and deploying it throughout the organization. To support these needs, PMS are often implemented today using Business Intelligence (BI) methodologies and technologies. PMS may assist implementing organizational strategy, align
employees with the derived targets and goals, and act as an effective tool for control and surveillance. Studies have suggested that, in the long run, these important benefits will have a positive impact in organization's performance. However, even though PMS have received considerable research attention, the claims regarding their major impact on organizational performance are yet to be supported by rigorous evidence.
Original language | English GB |
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Title of host publication | Proceedings of the 5 th ILAIS Conference, June 29, 2011, The Open University of Israel, Raanana, Israe |
Editors | Nitza Geri, Yoram M Kalman |
Pages | 56-58 |
State | Published - 2011 |