A Risk Based Model For Quantifying The Impact Of Information Quality

Alexander Borek, Ajith Kumar Parlikad, Philip Woodall, Maurizio Tomasella

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Information quality is one of the key determinants of information system success. When information quality is poor, it can cause a variety of risks in an organization. To manage resources for information quality improvement effectively, it is necessary to understand where, how, and how much information quality impacts an organization's ability to successfully deliver its objectives. So far, existing approaches have mostly focused on the measurement of information quality but not adequately on the impact that information quality causes. This paper presents a model to quantify the business impact that arises through poor information quality in an organization by using a risk based approach. It hence addresses the inherent uncertainty in the relationship between information quality and organizational impact. The model can help information managers to obtain quantitative figures which can be used to build reliable and convincing business cases for information quality improvement.
Original languageEnglish
Pages (from-to)354-366
JournalComputers in Industry
Issue number2
Early online date9 Jan 2014
Publication statusPublished - Feb 2014

Keywords / Materials (for Non-textual outputs)

  • Information quality
  • Data governance
  • Business impact
  • Risk based modeling
  • Risk management


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