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Will XBRL improve corporate governance?

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  • Alles, Michael
  • Piechocki, Maciej

Abstract

In this paper we first develop a framework for understanding how tagged data can be used to change the way in which decisions affecting governance are made. Ultimately data, however it is formatted, is simply a means towards an end and it provides no value added unless different decisions are made as a result of its availability. We use Elliott's (1998) model of decision making and apply it to the governance area to serve as a framework for an investigation of precisely how XBRL will provide value added. We then analyze the current specifications of XBRL, both its taxonomies and the way in which tagged data is rendered, to answer the question of whether XBRL—as opposed to the generic concept of tagged data—takes full advantage of its potential to improve governance decision making.

Suggested Citation

  • Alles, Michael & Piechocki, Maciej, 2012. "Will XBRL improve corporate governance?," International Journal of Accounting Information Systems, Elsevier, vol. 13(2), pages 91-108.
    • Handle: RePEc:eee:ijoais:v:13:y:2012:i:2:p:91-108
    DOI: 10.1016/j.accinf.2010.09.008
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    References listed on IDEAS

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    1. Srivastava, Rajendra P. & Kogan, Alexander, 2010. "Assurance on XBRL instance document: A conceptual framework of assertions," International Journal of Accounting Information Systems, Elsevier, vol. 11(3), pages 261-273.
    2. Debreceny, Roger & Farewell, Stephanie & Piechocki, Maciej & Felden, Carsten & Gräning, André, 2010. "Does it add up? Early evidence on the data quality of XBRL filings to the SEC," Journal of Accounting and Public Policy, Elsevier, vol. 29(3), pages 296-306, June.
    3. Erik Lie, 2005. "On the Timing of CEO Stock Option Awards," Management Science, INFORMS, vol. 51(5), pages 802-812, May.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Dirk Beerbaum & Maciej Piechocki & Christoph Weber, 2017. "Is there a Conflict between Principles-based Standard Setting and Structured Electronic Reporting with XBRL?," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2017(3), pages 33-52.
    2. Kumar, Satish & Marrone, Mauricio & Liu, Qi & Pandey, Nitesh, 2020. "Twenty years of the International Journal of Accounting Information Systems: A bibliometric analysis," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    3. Troshani, Indrit & Janssen, Marijn & Lymer, Andy & Parker, Lee D., 2018. "Digital transformation of business-to-government reporting: An institutional work perspective," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 17-36.
    4. Marek Z. Reformat & Ronald R. Yager & Nhuan D. To, 2018. "Defining personalized concepts for XBRL using iPAD‐drawn fuzzy sets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(2), pages 73-85, April.
    5. 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.
    6. Marek Z. Reformat & Ronald R. Yager, 2015. "Soft Computing Techniques for Querying XBRL Data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(3), pages 179-199, July.
    7. Alkhatib, Esra'a & Ojala, Hannu & Collis, Jill, 2019. "Determinants of the voluntary adoption of digital reporting by small private companies to Companies House: Evidence from the UK," International Journal of Accounting Information Systems, Elsevier, vol. 34(C), pages 1-1.
    8. Jie Zhou, 2020. "Does one size fit all? Evidence on XBRL adoption and 10‐K filing lag," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 3183-3213, September.

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