A new model for managerial decision making using workflow management
Today’s dynamic organization that does variety of businesses requires two main components to be able to sustain itself in the market. Firstly, it requires a reusable and customizable business performance framework to evaluate the organization periodically. Secondly, an organization requires a way to...
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my-mmu-ep.62722016-01-13T10:55:13Z A new model for managerial decision making using workflow management 2012-08 Lim, Amy Hui Lan QA75.5-76.95 Electronic computers. Computer science Today’s dynamic organization that does variety of businesses requires two main components to be able to sustain itself in the market. Firstly, it requires a reusable and customizable business performance framework to evaluate the organization periodically. Secondly, an organization requires a way to evaluate and manage workflows which serve as backbone of any organization. This study focuses on designing business performance framework, modeling and applying data mining to workflows to improve organizational performance. Four main problems are identified. Firstly, a comprehensive and reusable business performance measurement framework is required to measure organization’s performance. Secondly, an improved workflow management systems to support design phase of business process management (BPM) lifecycle is required to produce effective and efficient workflow designs. Thirdly, existing evaluation methods in workflow management systems should be enhanced with online analytical processing capabilities (OLAP) to support decision-making. Fourthly, OLAP should be improved to support analysis of current workflows in diagnosis phase of BPM lifecycle. 2012-08 Thesis http://shdl.mmu.edu.my/6272/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php phd doctoral Multimedia University Faculty of Computing and Informatics |
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Multimedia University |
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MMU Institutional Repository |
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QA75.5-76.95 Electronic computers Computer science |
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QA75.5-76.95 Electronic computers Computer science Lim, Amy Hui Lan A new model for managerial decision making using workflow management |
description |
Today’s dynamic organization that does variety of businesses requires two main components to be able to sustain itself in the market. Firstly, it requires a reusable and customizable business performance framework to evaluate the organization periodically. Secondly, an organization requires a way to evaluate and manage workflows which serve as backbone of any organization. This study focuses on designing business performance framework, modeling and applying data mining to workflows to improve organizational performance. Four main problems are identified. Firstly, a comprehensive and reusable business performance measurement framework is required to measure organization’s performance. Secondly, an improved workflow management systems to support design phase of business process management (BPM) lifecycle is required to produce effective and efficient workflow designs. Thirdly, existing evaluation methods in workflow management systems should be enhanced with online analytical processing capabilities (OLAP) to support decision-making. Fourthly, OLAP should be improved to support analysis of current workflows in diagnosis phase of BPM lifecycle. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Lim, Amy Hui Lan |
author_facet |
Lim, Amy Hui Lan |
author_sort |
Lim, Amy Hui Lan |
title |
A new model for managerial decision making using workflow management |
title_short |
A new model for managerial decision making using workflow management |
title_full |
A new model for managerial decision making using workflow management |
title_fullStr |
A new model for managerial decision making using workflow management |
title_full_unstemmed |
A new model for managerial decision making using workflow management |
title_sort |
new model for managerial decision making using workflow management |
granting_institution |
Multimedia University |
granting_department |
Faculty of Computing and Informatics |
publishDate |
2012 |
_version_ |
1747829618251923456 |