Name
Abstract | ||
|---|---|---|
Business process is collection of standardized and structured tasks inducing value creation of a company. Nowadays, it is recognized as one of significant intangible business assets to achieve competitive advantages. This research introduces a novel approach of business process analysis, which has more and more significance as process-aware information systems are spreading widely over a lot of companies. In this paper, a methodology of business process clustering based on process similarity is illustrated. The purpose of business process clustering is to analyze accumulated process models in order to assist design of new processes and reengineering of existing ones. The proposed methodology exploits structural similarity metrics of business processes. The methodology is illustrated with synthetic process models of insurance processes. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/SCC.2008.69 | IEEE SCC (2) |
Keywords | Field | DocType |
process model,business process,significant intangible business asset,hierarchical business process clustering,proposed methodology,synthetic process model,business process clustering,new process,business process analysis,process similarity,insurance process,information analysis,management information systems,insurance,competitive advantage,knowledge management,industrial engineering,process design,competitive advantages,structural similarity,clustering,information systems | Artifact-centric business process model,Business process management,Business process,Computer science,Process modeling,Business process modeling,Business process discovery,Business Process Model and Notation,Business rule,Process management | Conference |
ISSN | Citations | PageRank |
2474-8137 | 12 | 0.73 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jae-Yoon Jung | 1 | 297 | 31.94 |
| Joonsoo Bae | 2 | 301 | 18.52 |
| Ling Liu | 3 | 5020 | 344.35 |