{"title":"Valuing big data: An analysis of current regulations and proposal of frameworks","authors":"Albi Nani","doi":"10.1016/j.accinf.2023.100637","DOIUrl":null,"url":null,"abstract":"<div><p>The increasing prevalence of big data, large stores of data that enable businesses to generate previously inaccessible insights, has resulted in performance gains for the firms that harness its capabilities. However, the impact that big data has on a firm’s profitability and financial position is rarely captured in its financial statements due to big data’s status as an internally generated intangible asset. As per the current IFRS regulations, big data is not eligible for recognition.</p><p>We argue that the true impact of big data on a firm is not appropriately reflected in a firm’s financial statements. The IFRS as currently written does not allow firms to capitalize data assets, thus compromising the goal of financial statements: to provide relevant and reliable information.</p><p>Analysis of the current standards reveal gaps in measuring the future economic benefit and costs of big data, primarily attributable to the lack of clarity surrounding the unit of account used to measure big data. Furthermore, IAS 38′s dichotomization of research and development does not accurately represent the applicability of big data assets.</p><p>Therefore, we propose a conceptual framework for understanding the economic value of big data. These include the use of a database as a unit of account, costing methods derived from user-based metrics, and a renewed focus on the intention to apply data assets.</p></div>","PeriodicalId":47170,"journal":{"name":"International Journal of Accounting Information Systems","volume":"51 ","pages":"Article 100637"},"PeriodicalIF":4.1000,"publicationDate":"2023-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Accounting Information Systems","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1467089523000295","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 1
Abstract
The increasing prevalence of big data, large stores of data that enable businesses to generate previously inaccessible insights, has resulted in performance gains for the firms that harness its capabilities. However, the impact that big data has on a firm’s profitability and financial position is rarely captured in its financial statements due to big data’s status as an internally generated intangible asset. As per the current IFRS regulations, big data is not eligible for recognition.
We argue that the true impact of big data on a firm is not appropriately reflected in a firm’s financial statements. The IFRS as currently written does not allow firms to capitalize data assets, thus compromising the goal of financial statements: to provide relevant and reliable information.
Analysis of the current standards reveal gaps in measuring the future economic benefit and costs of big data, primarily attributable to the lack of clarity surrounding the unit of account used to measure big data. Furthermore, IAS 38′s dichotomization of research and development does not accurately represent the applicability of big data assets.
Therefore, we propose a conceptual framework for understanding the economic value of big data. These include the use of a database as a unit of account, costing methods derived from user-based metrics, and a renewed focus on the intention to apply data assets.
期刊介绍:
The International Journal of Accounting Information Systems will publish thoughtful, well developed articles that examine the rapidly evolving relationship between accounting and information technology. Articles may range from empirical to analytical, from practice-based to the development of new techniques, but must be related to problems facing the integration of accounting and information technology. The journal will address (but will not limit itself to) the following specific issues: control and auditability of information systems; management of information technology; artificial intelligence research in accounting; development issues in accounting and information systems; human factors issues related to information technology; development of theories related to information technology; methodological issues in information technology research; information systems validation; human–computer interaction research in accounting information systems. The journal welcomes and encourages articles from both practitioners and academicians.