Total Data Quality Management: A study of bridging rigor and relevance

Fons Wijnhoven, Roy Boelens, Rick Middel, Kor Louissen

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

    6 Citations (Scopus)
    40 Downloads (Pure)


    Ensuring data quality is of crucial importance to organizations. The Total Data Quality Management (TDQM) theory provides a methodology to ensure data quality. Although well researched, the TDQM methodology is not easy to apply. In the case of Honeywell Emmen, we found that the application of the methodology requires considerable contextual redesign, flexibility in use, and the provision of practical tools. We identified team composition, toolsets, development of obvious actions, the design of phases, steps, and actions, and sessions as vital elements of making an academically rooted methodology applicable. Such an applicable methodology, we name "well articulated", because it incorporates the existing academic theory and it is made operational. This enables the methodology to be systematically beta tested and made useful for different organizaitonal conditions.Keywords: Total data quality management, applicability of theory, design science
    Original languageEnglish
    Title of host publicationECIS 2007 PROCEEDINGS
    Subtitle of host publicationRelevant rigour - Rigorous relevance. Proceedings of the 15th European Conference on Information Systems (ECIS2007), 7-9 June 2007, St. Gallen
    PublisherAssociation for Information Systems
    Publication statusPublished - 2007
    Event15th European Conference on Information Systems, ECIS 2007: Relevant rigour - Rigorous relevance - St. Gallen, Switzerland
    Duration: 7 Jun 20079 Jun 2007
    Conference number: 15


    Conference15th European Conference on Information Systems, ECIS 2007
    Abbreviated titleECIS
    CitySt. Gallen


    • Total data quality management
    • Applicability of theory
    • Design science


    Dive into the research topics of 'Total Data Quality Management: A study of bridging rigor and relevance'. Together they form a unique fingerprint.

    Cite this