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Factors influencing organizations to improve data quality in their information systems

Author

Listed:
  • Sing What Tee
  • Paul L. Bowen
  • Peta Doyle
  • Fiona H. Rohde

Abstract

Although managers consider accurate, timely and relevant information as critical to the quality of their decisions, evidence of large variations in data quality abounds. This research examines factors influencing the level of data quality within a target organization. The results indicate that management's commitment to data quality and the presence of data quality champions strongly influence data quality in the target organization. The results also show that the managers of the participating organization are committed to achieving and maintaining high data quality. However, changing work processes and establishing a data quality awareness culture are required to motivate further improvements to data quality.

Suggested Citation

  • Sing What Tee & Paul L. Bowen & Peta Doyle & Fiona H. Rohde, 2007. "Factors influencing organizations to improve data quality in their information systems," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 47(2), pages 335-355, June.
    • Handle: RePEc:bla:acctfi:v:47:y:2007:i:2:p:335-355
    DOI: 10.1111/j.1467-629X.2006.00205.x
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    File URL: https://doi.org/10.1111/j.1467-629X.2006.00205.x
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    References listed on IDEAS

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    1. Thomas C. Powell, 1995. "Total quality management as competitive advantage: A review and empirical study," Strategic Management Journal, Wiley Blackwell, vol. 16(1), pages 15-37.
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    Cited by:

    1. Friederike Wall, 2021. "Modeling Managerial Search Behavior based on Simon's Concept of Satisficing," Papers 2104.14002, arXiv.org, revised May 2021.
    2. Friederike Wall, 2023. "Modeling managerial search behavior based on Simon’s concept of satisficing," Computational and Mathematical Organization Theory, Springer, vol. 29(2), pages 265-299, June.
    3. Vicky Arnold, 2018. "The changing technological environment and the future of behavioural research in accounting," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(2), pages 315-339, June.
    4. Duvier, Caroline & Neagu, Daniel & Oltean-Dumbrava, Crina & Dickens, Dave, 2018. "Data quality challenges in the UK social housing sector," International Journal of Information Management, Elsevier, vol. 38(1), pages 196-200.
    5. Ana Lucas, 2010. "Towards Corporate Data Quality Management," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 173-196.
    6. Stephan Leitner, 2014. "A simulation analysis of interactions among intended biases in costing systems and their effects on the accuracy of decision-influencing information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(1), pages 113-138, March.
    7. Siti Kurnia Rahayu, 2012. "The Factors That Support The Implementation Of Accounting Information System: A Survey In Bandung And Jakarta’S Taxpayer Offices," Journal of Global Management, Global Research Agency, vol. 4(1), pages 25-52, July.
    8. Unsworth, Kerrie & Adriasola, Elisa & Johnston-Billings, Amber & Dmitrieva, Alina & Hodkiewicz, Melinda, 2011. "Goal hierarchy: Improving asset data quality by improving motivation," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1474-1481.
    9. Friederike Wall, 2018. "Emergence of Task Formation in Organizations: Balancing Units' Competence and Capacity," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 21(2), pages 1-6.

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