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Recognition and Evaluation of Data as Intangible Assets

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Listed:
  • Feng Xiong
  • Maoyue Xie
  • Lingjuan Zhao
  • Cheng Li
  • Xuan Fan

Abstract

Internet-based companies such as Amazon, Facebook, and Tencent hold an enormous amount of consumer data that are utilized to create business value via big data analytics. Although some companies use big data to provide professional services, such as targeted advertising and product recommendations, according to the current CAS, IFRS, and U.S. GAAP accounting standards, these assets are not recognized as assets since they are generated internally. This paper starts with a discussion of how Amazon, Facebook, Tencent, and Walmart use big data to create value for their businesses and then argues why it makes sense to recognize big data as intangible assets. Possible methods of data asset evaluation and their implications for business managers are also explored.

Suggested Citation

  • Feng Xiong & Maoyue Xie & Lingjuan Zhao & Cheng Li & Xuan Fan, 2022. "Recognition and Evaluation of Data as Intangible Assets," SAGE Open, , vol. 12(2), pages 21582440221, April.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221094600
    DOI: 10.1177/21582440221094600
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    References listed on IDEAS

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    1. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    2. Anne Wyatt, 2008. "What financial and non‐financial information on intangibles is value‐relevant? A review of the evidence," Accounting and Business Research, Taylor & Francis Journals, vol. 38(3), pages 217-256.
    3. Mariani, Marcello M. & Fosso Wamba, Samuel, 2020. "Exploring how consumer goods companies innovate in the digital age: The role of big data analytics companies," Journal of Business Research, Elsevier, vol. 121(C), pages 338-352.
    4. Barth, ME & Clinch, G, 1998. "Revalued financial, tangible, and intangible assets: Associations with share prices and non-market-based value estimates," Journal of Accounting Research, Wiley Blackwell, vol. 36, pages 199-233.
    5. Xu, Zhenning & Frankwick, Gary L. & Ramirez, Edward, 2016. "Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective," Journal of Business Research, Elsevier, vol. 69(5), pages 1562-1566.
    6. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    7. Elisabeth Dedman & Sulaiman Mouselli & Yun Shen & Andrew W. Stark, 2009. "Accounting, Intangible Assets, Stock Market Activity, and Measurement and Disclosure Policy—Views From the U.K," Abacus, Accounting Foundation, University of Sydney, vol. 45(3), pages 312-341, September.
    8. Lev, Baruch & Sougiannis, Theodore, 1996. "The capitalization, amortization, and value-relevance of R&D," Journal of Accounting and Economics, Elsevier, vol. 21(1), pages 107-138, February.
    9. Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
    10. Côrte-Real, Nadine & Oliveira, Tiago & Ruivo, Pedro, 2017. "Assessing business value of Big Data Analytics in European firms," Journal of Business Research, Elsevier, vol. 70(C), pages 379-390.
    11. Wamba, Samuel Fosso & Gunasekaran, Angappa & Akter, Shahriar & Ren, Steven Ji-fan & Dubey, Rameshwar & Childe, Stephen J., 2017. "Big data analytics and firm performance: Effects of dynamic capabilities," Journal of Business Research, Elsevier, vol. 70(C), pages 356-365.
    12. Tatiana Garanina & Henri Hussinki & Johannes Dumay, 2021. "Accounting for intangibles and intellectual capital: a literature review from 2000 to 2020," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(4), pages 5111-5140, December.
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