MEMBEDAH RELASI: BAGAIMANA NILAI PREDIKTIF AKUNTANSI MENGOPTIMALKAN VAIC
DOI:
https://doi.org/10.25170/wpm.v17i2.7733Keywords:
intellectual capital, VAIC, predictability of financial reports, earnings quality, raw materials sub-sectorAbstract
This study aims to examine the effect of intellectual capital efficiency on the predictability of financial statements in raw materials sub-sector companies listed on the Indonesia Stock Exchange. Intellectual capital efficiency is measured using the Value Added Intellectual Coefficient (VAIC) developed by Pulic (1998), while financial statement predictability is measured based on the earnings predictability model proposed by Dechow (1994). This study uses a quantitative approach with secondary data in the form of the company's annual financial statements. The research sample was selected using a purposive sampling method, and the data were analyzed using linear regression with the help of SPSS software. The test results show that VAIC has a negative and significant effect on financial statement predictability. This finding indicates that the higher the efficiency of a company's intellectual capital, the lower the ability of earnings to predict future performance. These results do not support the research hypothesis that states a positive influence between VAIC and financial statement predictability. In addition, the relatively low value of the coefficient of determination indicates that financial statement predictability is influenced by factors other than intellectual capital efficiency. This study provides an empirical contribution by demonstrating that intellectual capital efficiency does not always improve financial reporting quality, particularly in terms of earnings predictability, in the raw materials industry, which faces high levels of uncertainty. These findings are expected to form the basis for further research examining this relationship by considering additional variables and a more comprehensive methodological approach.
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