• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.675-685
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• 2021

The purpose of this study is to examine the reaction of stock prices on the implementation of Extensible Business Reporting Language (XBRL) in companies listed on the Indonesia Stock Exchange (IDX). Using the event study method and calculating abnormal returns of the 2015 financial statements of 462 companies listed on the IDX, findings showed that 49 companies have not applied the XBRL format in their financial statements. Based on the results of the Average Abnormal Return (AAR) and Cumulative Average Abnormal Return (CAAR) values, using the one-sample test, investors react to shares in companies that have not implemented XBRL and who have implemented XBRL; however, based on the independent t-test based on average values there are differences between companies that have not applied XBRL and those who have implemented XBRL. This research only looks at the one-year implementation of XBRL in financial reporting (2015), then the research does not separate which companies are on time in the delivery of financial statements to the public through the IDX website. Our research contributes to the understanding of the use of XBRL in corporate financial reporting because before the XBRL financial reporting format was published, the company had published a financial statement format based on the legal provisions of financial statements in Indonesia.

• The Journal of Society for e-Business Studies
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• v.15 no.3
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• pp.1-23
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• 2010

It is crucially important to exchange and manage the financial information of an organization for the reason of complexity and diversity of information caused by its implicit information involved. Especially, according to the development of information technology, various approaches appeared to manage financial data of organization. For example, XBRL (Extensible Business Reporting Language) is one of the technologies dealing with the above criteria. Basically, XBRL is a business reporting language to define and exchange financial information, such as a financial statement of organization. XBRL is an international standard which enables the exchange of information between information providers and consumers by adding the tags involving the information of circumstantial factors of data. However, XBRL is not able to describe semantics because XBRL is fundamentally based on XML(Extensible Markup Language) having the purpose of expressing and structuring data. Therefore, this paper aims to enable semantic information to XBRL through the semantic technology. The objective of this paper is an ontologization of the knowledge to perform sharing, reusing, discovering, and inferring the knowledge described and conducted by XBRL. In order to achieve the above objective, this paper suggests the methodology for the ontologization of the category and instance document of XBRL. Furthermore, this paper points out the possibility of suggested methodology in a practical business through indicating the advantages of the knowledge described by XBRL.

• The Journal of Society for e-Business Studies
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• v.11 no.4
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• pp.67-86
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• 2006

In parallel with emphasizing more transparency and social responsibility of businesses, usage rate of XBRL, a XML-based language specific to business reporting, is rapidly increasing. XBRL takes the same approach with the standardization of B2B electronic documents in that it defines components (concepts and their structures) of business reporting documents using XSD(XML Schema Definition). However, it is fundamentally different from the standardization of B2B electronic documents because it restricts concepts to specific types and it defines diverse relationship types for connecting the concepts to themselves and other additional information. As XBRL applications are getting activated, one hot issue is the necessity for standardization of XBRL documents in the national level and reusing the components systematically This paper proposes an alternative based on the problem analysis in order to make it possible to standardize and reuse XBRL documents systematically by applying the UN/CEFACT Core Component methodology.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1016-1035
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• 2023

Corporate tax avoidance has been the subject of international debate since the Enron scandal and has raised awareness of the need for greater transparency in financial markets. Efforts have been made to strengthen financial reporting requirements and meet the needs of investors and other stakeholders, including digitalization of financial reporting through Extensible Business Reporting Language (XBRL). This study examines the impact of the mandatory adoption of XBRL on corporate tax avoidance. We tested our predictions using a panel dataset of Indonesian firms listed on the IDX stock exchange. Based on available information in the DATASTREAM database covering the 2013-2017 period, we used two proxies for tax avoidance i.e., GAAP effective tax rate and current effective tax rate. We estimated multiple regression model including industry and year fixed effects. The results show that XBRL implementation has reduced corporate tax avoidance. These findings suggest that improving corporate transparency through XBRL could play a deterrent tool to corporate tax avoidance. The results of this study should be useful to tax authorities and accounting standard setters supporting the benefits of digitalizing financial reporting and continuing to complete XBRL taxonomies around the world.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.14-19
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• 2020

This study suggests an accounting information processing model based on internet standard XBRL which applies an extensible business reporting language, the XML technology. Due to the differences in document characteristics among various companies, this is very important with regard to the purpose of accounting that the system should provide useful information to the decision maker. This study develops a data mining model based on XML hierarchy which is stored as XBRL in the X-Hive data base. The data ming analysis is experimented by the data mining association rule. And based on XBRL, the DC-Apriori data mining method is suggested combining Apriori algorithm and X-query together. Finally, the validity and effectiveness of the suggested model is investigated through experiments.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.335-346
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• 2020

This study aims to describe the role of corporate governance as a moderator in electronic financial disclosure that adopts Extensible Business Reporting Language (XBRL) and Company Characteristics on value relevance. The population in this study was all manufacturing companies listed on the Indonesia Stock Exchange from 2017 to 2018, totaling 166 companies. The sampling technique used purposive sampling method, namely, manufacturing companies that publish fully audited financial statements by December 31 of the year 2017-2018. The method used in this research is a quantitative description using the financial statements of manufacturing companies listed on the Indonesia Stock Exchange that have adopted XBRL during the 2017-2018 period. The data analysis method used is multiple regression analysis with moderating variables. The results of this study show a negative and insignificant effect of XBRL on value relevance, a significant negative effect of size on value relevance, a positive and insignificant effect of growth on value relevance, and a significant positive effect of profit on value relevance; meanwhile, corporate governance moderation variable has an insignificant effect in all hypotheses. Suggestions are to increase the number of variables that have an important role in value relevance and expand the number of research objects to be compared.