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The topical link model-integrating topic-centric information in XBRL-formatted reports

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  • Chou, Chi-Chun
  • Hwang, Nen-Chen Richard
  • Wang, Tawei
  • Debreceny, Roger

Abstract

This paper proposes the Topical Link Model (TLM), which can be used as a framework to integrate information of a specific decision topic in financial reports formatted in the eXtensible Business Reporting Language (XBRL). Building on link analysis and Topic Maps concepts, this study demonstrates that the TLM allows users and preparers of XBRL-formatted financial reports to operationalize the Generic Linkbase, an existing XLink semantic tool embedded in XBRL, to integrate topic-centric information. To validate the merits of integrating information in financial reports based on TLM, this study implements a preliminary evaluation exercise that integrates quantitative and qualitative information in XBRL-formatted financial reports. The results from the exercise demonstrates that XLink, as a semantic tool, can have broader applications because it provides detailed and insightful “links” among elements in financial reports.

Suggested Citation

  • Chou, Chi-Chun & Hwang, Nen-Chen Richard & Wang, Tawei & Debreceny, Roger, 2018. "The topical link model-integrating topic-centric information in XBRL-formatted reports," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 16-36.
    • Handle: RePEc:eee:ijoais:v:29:y:2018:i:c:p:16-36
    DOI: 10.1016/j.accinf.2018.03.003
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    2. Sharifah Milda Amirul & Noor Ismawati Jaafar & Anna Azriati Che Azmi, 2022. "Two decades of XBRL: a science mapping of research trends and future research agenda," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2301-2324, August.
    3. Zhuoqian Liang & Ding Pan & Yuan Deng, 2020. "Research on the Knowledge Association Reasoning of Financial Reports Based on a Graph Network," Sustainability, MDPI, vol. 12(7), pages 1-14, April.

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