Name
Title | ||
|---|---|---|
Leveraging Textual Information for Improving Decision-Making in the Business Process Lifecycle |
Abstract | ||
|---|---|---|
Business process implementations fail, because requirements are elicited incompletely. At the same time, a huge amount of unstructured data is not used for decision-making during the business process lifecycle. Data from questionnaires and interviews is collected but not exploited because the effort doing so is too high. Therefore, this paper shows how to leverage textual information for improving decision making in the business process lifecycle. To do so, text mining is used for analyzing questionnaires and interviews. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-19857-6_48 | Smart Innovation Systems and Technologies |
Keywords | DocType | Volume |
Decision-making,Bpm,Process interviews,Text mining,Context data | Conference | 39 |
ISSN | Citations | PageRank |
2190-3018 | 4 | 0.44 |
References | Authors | |
23 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rainer Schmidt | 1 | 274 | 29.67 |
| michael mohring | 2 | 4 | 0.44 |
| ralfchristian harting | 3 | 4 | 0.44 |
| Alfred Zimmermann | 4 | 25 | 4.64 |
| j heitmann | 5 | 4 | 0.44 |
| franziska blum | 6 | 4 | 0.44 |