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Reporting Technologies and Textual Readability: Evidence from the XBRL Mandate

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  • Xitong Li

    (Department of Information Systems and Operations Management, École des hautes études commerciales de Paris (HEC Paris), 78351 Jouy-en-Josas, France)

  • Hongwei Zhu

    (Department of Operations and Information Systems, Manning School of Business, University of Massachusetts, Lowell, Massachusetts 01854)

  • Luo Zuo

    (Samuel Curtis Johnson Graduate School of Management, Cornell University, Ithaca, New York 14850)

Abstract

Financial reporting technologies can significantly affect how firms construct and disseminate quantitative and qualitative disclosures. Leveraging the opportunity created by the eXtensible Business Reporting Language (XBRL) mandate in the United States, we use a difference-in-differences approach to examine whether and how a firm’s XBRL adoption affects the readability of its textual disclosures. We find that the initial adopters’ HTML-formatted annual reports become harder to read after the XBRL mandate. Further analysis reveals that this effect is concentrated among adopters with more quantitative disclosures, those with smaller firm size, and those with a higher level of financial complexity. Importantly, we show that managers’ reduced attention to preparing HTML-formatted annual reports, rather than increased disclosures, is likely the explanation for this decrease in textual readability. We also find that the negative effect on textual readability persists at least in the subsequent year. Taken together, our results suggest that although XBRL can standardize numerical disclosures, its initial adoption can divert managerial attention and result in reduced readability of textual disclosures.

Suggested Citation

  • Xitong Li & Hongwei Zhu & Luo Zuo, 2021. "Reporting Technologies and Textual Readability: Evidence from the XBRL Mandate," Information Systems Research, INFORMS, vol. 32(3), pages 1025-1042, September.
  • Handle: RePEc:inm:orisre:v:32:y:2021:i:3:p:1025-1042
    DOI: 10.1287/isre.2021.1012
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    References listed on IDEAS

    as
    1. Rishika Rishika & Ashish Kumar & Ramkumar Janakiraman & Ram Bezawada, 2013. "The Effect of Customers' Social Media Participation on Customer Visit Frequency and Profitability: An Empirical Investigation," Information Systems Research, INFORMS, vol. 24(1), pages 108-127, March.
    2. Bonsall, Samuel B. & Leone, Andrew J. & Miller, Brian P. & Rennekamp, Kristina, 2017. "A plain English measure of financial reporting readability," Journal of Accounting and Economics, Elsevier, vol. 63(2), pages 329-357.
    3. Elizabeth Blankespoor, 2019. "The Impact of Information Processing Costs on Firm Disclosure Choice: Evidence from the XBRL Mandate," Journal of Accounting Research, Wiley Blackwell, vol. 57(4), pages 919-967, September.
    4. Brad N. Greenwood & Ritu Agarwal, 2016. "Matching Platforms and HIV Incidence: An Empirical Investigation of Race, Gender, and Socioeconomic Status," Management Science, INFORMS, vol. 62(8), pages 2281-2303, August.
    5. Susan Feng Lu, 2012. "Multitasking, Information Disclosure, and Product Quality: Evidence from Nursing Homes," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 21(3), pages 673-705, September.
    6. 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).
    7. Holmstrom, Bengt & Milgrom, Paul, 1991. "Multitask Principal-Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 7(0), pages 24-52, Special I.
    8. Mary E. Barth & Greg Clinch, 2009. "Scale Effects in Capital Markets-Based Accounting Research," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3-4), pages 253-288.
    9. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    10. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    11. Li, Feng, 2008. "Annual report readability, current earnings, and earnings persistence," Journal of Accounting and Economics, Elsevier, vol. 45(2-3), pages 221-247, August.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    13. Guay, Wayne & Samuels, Delphine & Taylor, Daniel, 2016. "Guiding through the Fog: Financial statement complexity and voluntary disclosure," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 234-269.
    14. Tim Loughran & Bill Mcdonald, 2016. "Textual Analysis in Accounting and Finance: A Survey," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 1187-1230, September.
    15. Anja Lambrecht & Katja Seim & Catherine Tucker, 2011. "Stuck in the Adoption Funnel: The Effect of Interruptions in the Adoption Process on Usage," Marketing Science, INFORMS, vol. 30(2), pages 355-367, 03-04.
    16. Donald Ballou & Richard Wang & Harold Pazer & Giri Kumar Tayi, 1998. "Modeling Information Manufacturing Systems to Determine Information Product Quality," Management Science, INFORMS, vol. 44(4), pages 462-484, April.
    17. David Dranove & Ginger Zhe Jin, 2010. "Quality Disclosure and Certification: Theory and Practice," Journal of Economic Literature, American Economic Association, vol. 48(4), pages 935-963, December.
    18. 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.
    19. Chunhui Liu, 2013. "XBRL: A New Global Paradigm for Business Financial Reporting," Journal of Global Information Management (JGIM), IGI Global, vol. 21(3), pages 60-80, July.
    20. Xue Bai & Manuel Nunez & Jayant R. Kalagnanam, 2012. "Managing Data Quality Risk in Accounting Information Systems," Information Systems Research, INFORMS, vol. 23(2), pages 453-473, June.
    21. Tim Loughran & Bill McDonald, 2020. "Textual Analysis in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 12(1), pages 357-375, December.
    22. Mary E. Barth & Greg Clinch, 2009. "Scale Effects in Capital Markets‐Based Accounting Research," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(3‐4), pages 253-288, April.
    23. Lawrence, Alastair, 2013. "Individual investors and financial disclosure," Journal of Accounting and Economics, Elsevier, vol. 56(1), pages 130-147.
    24. Christian Leuz & Peter D. Wysocki, 2016. "The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research," Journal of Accounting Research, Wiley Blackwell, vol. 54(2), pages 525-622, May.
    25. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    26. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    27. Ramayya Krishnan & James Peters & Rema Padman & David Kaplan, 2005. "On Data Reliability Assessment in Accounting Information Systems," Information Systems Research, INFORMS, vol. 16(3), pages 307-326, September.
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