Mirror, mirror on the wall, can I count on you at all? Exploring data inaccuracy in business processes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Information systems in general and process aware information systems in particular support the execution of business processes. This support is based on the assumption that the information system truly reflects the state of the domain where the process takes place. Based on this assumption, humans do not need to directly "sense" the state of affairs. Rather, decisions are made based on the state as reflected in the information system. This paper explores the situation where this assumption does not hold, namely, the situation of data inaccuracy. In particular, it formalizes data inaccuracy and addresses three questions: (a) how is data inaccuracy manifested in a process? (b) what are the expected results of data inaccuracy? (c) how can robustness to data inaccuracy be increased? The understanding gained with respect to these questions should form a basis for designing processes to be more robust, avoiding problems due to data inaccuracy.

Original languageEnglish
Title of host publicationEnterprise, Business-Process and Information Systems Modeling - 11th International Workshop, BPMDS 2010 and 15th International Conference, EMMSAD 2010, Held at CAiSE 2010, Proceedings
PublisherSpringer Verlag
Pages14-25
Number of pages12
ISBN (Print)9783642130502
DOIs
StatePublished - 2010
Event11th International Workshop on Business Process Modeling, Development and Support, BPMDS 2010 and 15th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2010, Held in Conjunction with CAiSE 2010 - Hammamet, Tunisia
Duration: 7 Jun 20108 Jun 2010

Publication series

NameLecture Notes in Business Information Processing
Volume50 LNBIP
ISSN (Print)1865-1348

Conference

Conference11th International Workshop on Business Process Modeling, Development and Support, BPMDS 2010 and 15th International Conference on Exploring Modeling Methods for Systems Analysis and Design, EMMSAD 2010, Held in Conjunction with CAiSE 2010
Country/TerritoryTunisia
CityHammamet
Period7/06/108/06/10

Keywords

  • Data inaccuracy
  • Generic process model
  • Process design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Management Information Systems
  • Business and International Management
  • Information Systems
  • Modeling and Simulation
  • Information Systems and Management

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