| dc.creator | Martín, Adriana Elba | |
| dc.creator | Cechich, Alejandra | |
| dc.date | 2004 | |
| dc.date | 2012-10-12T13:31:48Z | |
| dc.identifier | http://sedici.unlp.edu.ar/handle/10915/22355 | |
| dc.description | Knowledge-intensive processes are widely used to recover from errors, handle exceptional cases and complaints, and to improve or adapt a process itself. In this context, evolved Business-Process Reengineering (BPR) techniques are changing to give some answers to this reality. In this paper, we identify some cognitive aspects used by traditional and recent reengineering models. We provide a framework highlighting how cognitive aspects might improve reengineering through knowledge and perception modelling. | |
| dc.description | Eje: I - Workshop de Ingeniería de Software y Base de Datos | |
| dc.description | Red de Universidades con Carreras en Informática (RedUNCI) | |
| dc.format | application/pdf | |
| dc.language | en | |
| dc.relation | X Congreso Argentino de Ciencias de la Computación | |
| dc.rights | http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
| dc.rights | Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) | |
| dc.subject | Ciencias Informáticas | |
| dc.title | Identifying cognitive aspects to improve business process reengineering | |
| dc.type | Objeto de conferencia | |
| dc.type | Objeto de conferencia | |
