Logo des Repositoriums

BISE 64(2) - April 2022

https://dl.gi.de/handle/20.500.12116/38584
Auflistung nach:

Auflistung BISE 64(2) - April 2022 nach Schlagwort "Data quality"

1 - 1 von 1
  • Zeitschriftenartikel
    Model-based Analysis of Data Inaccuracy Awareness in Business Processes
    (Business & Information Systems Engineering: Vol. 64, No. 2, 2022) Evron, Yotam; Soffer, Pnina; Zamansky, Anna
    Problem definition: Data errors in business processes can be a source for exceptions and hamper business outcomes. Relevance: The paper proposes a method for analyzing data inaccuracy issues already at process design time, in order to support process designers by identifying process parts where data errors might remain unrecognized, so decisions could be taken based on inaccurate data. Methodology: The paper follows design science, developing a method as an artifact. The conceptual basis is the notion of data inaccuracy awareness – the ability to tell whether potential discrepancies between real and IS values may exist. Results: The method was implemented on top of a Petri net modeling tool and validated in a case study performed in a large manufacturing company of safety–critical systems. Managerial implications: Anticipating consequences of data inaccuracy already during process design can help avoiding them at runtime.