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Two decades of XBRL: a science mapping of research trends and future research agenda

Author

Listed:
  • Sharifah Milda Amirul

    (Universiti Malaya)

  • Noor Ismawati Jaafar

    (Universiti Malaya)

  • Anna Azriati Che Azmi

    (Universiti Malaya)

Abstract

eXtensible Business Reporting Language (XBRL) is a software standard of significant importance in the current shift in financial reporting. This new standard is representative of the dramatic developments in how financial information is presented and reported. Over the past 20 years (2000–2020), we have witnessed how information systems and technology advancement have continued to shape current practices in accounting, which has resulted in an increasing trend toward Internet reporting, and thus the XBRL adoption. This study investigates the current trends and various characteristics of worldwide research on XBRL using bibliometric analysis, subsequently presenting a plausible future research direction. The Scopus database was searched for articles indexed under the terms “XBRL*” or “Digital Financial Reporting*” or “Internet Financial Reporting*” or “Web financial reporting*”, which yielded a total of 661 documents from the years 2000–2020. We analysed a total of 621 documents as our final sample after excluding those not related to the interest of the study. Our analysis discovered six (6) main research clusters related to XBRL, which are financial reporting, development of XBRL, decision making, XBRL adoption, corporate governance and disclosure, and financial analytics. We also proposed a future research direction within XBRL-related research.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:qualqt:v:56:y:2022:i:4:d:10.1007_s11135-021-01225-4
    DOI: 10.1007/s11135-021-01225-4
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    References listed on IDEAS

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    1. Mohammed M. Yassin, 2017. "The determinants of internet financial reporting in Jordan: financial versus corporate governance," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 25(4), pages 526-556.
    2. Steve Yang & Fang-Chun Liu & Xiaodi Zhu, 2018. "The Impact of XBRL on Financial Statement Structural Comparability," Lecture Notes in Information Systems and Organization, in: Rita Lamboglia & Andrea Cardoni & Renata Paola Dameri & Daniela Mancini (ed.), Network, Smart and Open, pages 193-206, Springer.
    3. Bananuka, Juma & Night, Sadress & Ngoma, Muhammed & Najjemba, Grace Muganga, 2019. "Internet financial reporting adoption: Exploring the influence of board role performance and isomorphic forces," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 24(48), pages 266-287.
    4. Debreceny, Roger & Gray, Glen L. & Rahman, Asheq, 2002. "The determinants of Internet financial reporting," Journal of Accounting and Public Policy, Elsevier, vol. 21(4-5), pages 371-394.
    5. Stepani Sisca Wulandari & Syaiful Ali, 2019. "Incorporating XBRL topics into the accounting curriculum: empirical evidence from Indonesia," Accounting Education, Taylor & Francis Journals, vol. 28(6), pages 597-620, November.
    6. Kawaljeet Kaur Kapoor & Kuttimani Tamilmani & Nripendra P. Rana & Pushp Patil & Yogesh K. Dwivedi & Sridhar Nerur, 2018. "Advances in Social Media Research: Past, Present and Future," Information Systems Frontiers, Springer, vol. 20(3), pages 531-558, June.
    7. Purnendu Kumar & S. Sujeesh Kumar & Archana Dilip, 2019. "Effectivness of the Adoption of the XBRL Standard in the Indian Banking Sector," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 8(1), pages 39-52.
    8. Carsten Felden, 2011. "Characteristics of XBRL adoption in Germany," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(2), pages 161-186, December.
    9. 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.
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