Assessing business processes by checking transaction documents for inconsistency risks

Takafumi Komoto, Kokichi Futatsugi, Nobukazu Yoshioka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Business processes can be assessed by checking transaction documents for inconsistency risks and can be classified into two categories. Inconsistency refers to a mismatch between items (product name, quantity, unit price, amount price, etc.) among transaction documents. For any process in the first category, the consistency of any pair of transaction documents in the process is checked, and there is no risk of inconsistency. For any process in the second category, the consistency of some pairs of transaction documents in the process cannot be checked, and there is a risk of inconsistency. This paper proposes a method for the assessment of risk inconsistencies. The assessment can be used to design and evaluate business processes for a company's internal control over financial reporting. A business process diagram and inconsistency risk detection algorithm for classifying business processes is provided.

Original languageEnglish
Title of host publicationBMSD 2016 - Proceedings of the 6th International Symposium on Business Modeling and Software Design
EditorsBoris Shishkov
PublisherSciTePress
Pages39-45
Number of pages7
ISBN (Electronic)9789897581908
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event6th International Symposium on Business Modeling and Software Design, BMSD 2016 - Rhodes, Greece
Duration: 2016 Jun 202016 Jun 22

Publication series

NameBMSD 2016 - Proceedings of the 6th International Symposium on Business Modeling and Software Design

Conference

Conference6th International Symposium on Business Modeling and Software Design, BMSD 2016
Country/TerritoryGreece
CityRhodes
Period16/6/2016/6/22

Keywords

  • Checked documents matrix
  • Inconsistency risks
  • Internal control
  • Reliability
  • Transaction documents

ASJC Scopus subject areas

  • Modelling and Simulation
  • Software

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