IDEAS home Printed from https://ideas.repec.org/a/eee/ijoais/v29y2018icp16-36.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1467089517300325
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.accinf.2018.03.003?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Stephen P. Baginski & John M. Hassell & Michael D. Kimbrough, 2004. "Why Do Managers Explain Their Earnings Forecasts?," Journal of Accounting Research, Wiley Blackwell, vol. 42(1), pages 1-29, March.
    2. Ittner, CD & Larcker, DF, 1998. "Are nonfinancial measures leading indicators of financial performance? An analysis of customer satisfaction," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 1-35.
    3. Bonsón, E. & Cortijo, V. & Escobar, T., 2009. "Towards the global adoption of XBRL using International Financial Reporting Standards (IFRS)," International Journal of Accounting Information Systems, Elsevier, vol. 10(1), pages 46-60.
    4. Tawei Wang & Karthik N. Kannan & Jackie Rees Ulmer, 2013. "The Association Between the Disclosure and the Realization of Information Security Risk Factors," Information Systems Research, INFORMS, vol. 24(2), pages 201-218, June.
    5. 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.
    6. Brian J. Bushee & John E. Core & Wayne Guay & Sophia J.W. Hamm, 2010. "The Role of the Business Press as an Information Intermediary," Journal of Accounting Research, Wiley Blackwell, vol. 48(1), pages 1-19, March.
    7. Chou, Chi-Chun & Chang, C. Janie & Peng, Jacob, 2016. "Integrating XBRL data with textual information in Chinese: A semantic web approach," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 32-46.
    8. Geerts, Guido L., 2011. "A design science research methodology and its application to accounting information systems research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 142-151.
    9. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    10. repec:bla:jfinan:v:59:y:2004:i:3:p:1259-1294 is not listed on IDEAS
    11. Jeffrey Hales & Xi (Jason) Kuang & Shankar Venkataraman, 2011. "Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 223-255, March.
    12. Angela K. Davis & Isho Tama†Sweet, 2012. "Managers’ Use of Language Across Alternative Disclosure Outlets: Earnings Press Releases versus MD&A," Contemporary Accounting Research, John Wiley & Sons, vol. 29(3), pages 804-837, September.
    13. Feng Li, 2010. "The Information Content of Forward‐Looking Statements in Corporate Filings—A Naïve Bayesian Machine Learning Approach," Journal of Accounting Research, Wiley Blackwell, vol. 48(5), pages 1049-1102, December.
    14. Stephen V. Brown & Jennifer Wu Tucker, 2011. "Large‐Sample Evidence on Firms’ Year‐over‐Year MD&A Modifications," Journal of Accounting Research, Wiley Blackwell, vol. 49(2), pages 309-346, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chou, Chi-Chun & Chang, C. Janie & Peng, Jacob, 2016. "Integrating XBRL data with textual information in Chinese: A semantic web approach," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 32-46.
    2. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    3. Blankespoor, Elizabeth & deHaan, Ed & Marinovic, Iván, 2020. "Disclosure processing costs, investors’ information choice, and equity market outcomes: A review," Journal of Accounting and Economics, Elsevier, vol. 70(2).
    4. Durnev, Art & Mangen, Claudine, 2020. "The spillover effects of MD&A disclosures for real investment: The role of industry competition," Journal of Accounting and Economics, Elsevier, vol. 70(1).
    5. Asay, H. Scott & Libby, Robert & Rennekamp, Kristina M., 2018. "Do features that associate managers with a message magnify investors’ reactions to narrative disclosures?," Accounting, Organizations and Society, Elsevier, vol. 68, pages 1-14.
    6. Dutta, Shantanu & Fuksa, Michel & Macaulay, Ken, 2019. "Determinants of MD&A sentiment in Canada," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 130-148.
    7. Hun‐Tong Tan & Elaine Ying Wang & Bo Zhou, 2014. "When the Use of Positive Language Backfires: The Joint Effect of Tone, Readability, and Investor Sophistication on Earnings Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 52(1), pages 273-302, March.
    8. Caylor, Marcus & Cecchini, Mark & Winchel, Jennifer, 2017. "Analysts' qualitative statements and the profitability of favorable investment recommendations," Accounting, Organizations and Society, Elsevier, vol. 57(C), pages 33-51.
    9. Stolowy, Hervé & Jeanjean, Thomas & Erkens, Michael, 2011. "The economic consequences of increasing the international visibility of financial reports," HEC Research Papers Series 957, HEC Paris.
    10. Yan Luo & Linying Zhou, 2020. "Textual tone in corporate financial disclosures: a survey of the literature," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 17(2), pages 101-110, September.
    11. Özgür Arslan‐Ayaydin & James Thewissen & Wouter Torsin, 2021. "Disclosure tone management and labor unions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(1-2), pages 102-147, January.
    12. Robert M. Bushman & Christopher D. Williams & Regina Wittenberg‐Moerman, 2017. "The Informational Role of the Media in Private Lending," Journal of Accounting Research, Wiley Blackwell, vol. 55(1), pages 115-152, March.
    13. Beattie, Vivien, 2014. "Accounting narratives and the narrative turn in accounting research: Issues, theory, methodology, methods and a research framework," The British Accounting Review, Elsevier, vol. 46(2), pages 111-134.
    14. Berkin, Anil & Aerts, Walter & Van Caneghem, Tom, 2023. "Feasibility analysis of machine learning for performance-related attributional statements," International Journal of Accounting Information Systems, Elsevier, vol. 48(C).
    15. Arslan-Ayaydin, Özgür & Boudt, Kris & Thewissen, James, 2016. "Managers set the tone: Equity incentives and the tone of earnings press releases," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 132-147.
    16. Jeffrey Hales & Xi (Jason) Kuang & Shankar Venkataraman, 2011. "Who Believes the Hype? An Experimental Examination of How Language Affects Investor Judgments," Journal of Accounting Research, Wiley Blackwell, vol. 49(1), pages 223-255, March.
    17. Kristian D. Allee & Matthew D. Deangelis, 2015. "The Structure of Voluntary Disclosure Narratives: Evidence from Tone Dispersion," Journal of Accounting Research, Wiley Blackwell, vol. 53(2), pages 241-274, May.
    18. Christina Bannier & Thomas Pauls & Andreas Walter, 2019. "Content analysis of business communication: introducing a German dictionary," Journal of Business Economics, Springer, vol. 89(1), pages 79-123, February.
    19. Grant, Stephanie M. & Hodge, Frank D. & Sinha, Roshan K., 2018. "How disclosure medium affects investor reactions to CEO bragging, modesty, and humblebragging," Accounting, Organizations and Society, Elsevier, vol. 68, pages 118-134.
    20. Frankel, Richard & Jennings, Jared & Lee, Joshua, 2016. "Using unstructured and qualitative disclosures to explain accruals," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 209-227.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ijoais:v:29:y:2018:i:c:p:16-36. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-accounting-information-systems/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.