Extra-financial Analysis of IFRS Adoption and Application in Developing Country: The Case of Indonesia

Abstract

This study was aimed to investigate the challenges and impacts of International Financial Reporting Standards (IFRS) adoption and implementation in Indonesia, an emerging country by focusing on extra-financial factors analysis. A series of questionnaires was built up regarding some selected items which have a marginal effect on IFRS adoption and implementation by Indonesian companies, the first part of the questionnaires was designed to gather information relating participants background, the second part of the questionnaire was set to collect participants opinion regarding IFRS adoption and implementation in Indonesia, and the third part of the questionnaire was an open questionnaire to enable the participants to give them suggestion or any additional information they feel can help IFRS adoption and implementation in Indonesia. The findings of this investigation reveal that Indonesia companies have facing several challenges and impacts in their IFRS adoption and implementation such as legal system, taxation system, economy and political ties, accounting education and its infrastructure, and culture structure.To ensure adoption and effective implementation of IFRS, Institute of Indonesia chartered accountants (IAI), Indonesia government, Indonesia accounting body and academic must work together to reform the consistence of accounting standard for better applicability of IFRS in ensuring transparent information environment.

The causes and effects of IFRS adoption speed: diffusion of innovation theory perspective

“…The non-probability sampling techniques can be primarily used by quantitative studies, especially if there are limited resources to collect data or limited availability of needed data (Etikan et al, 2016). Consistent with prior empirical studies (e.g., Chimtengo, 2016;Bandi, 2016;Matero & Matero,2011), this paper employs the convenience sampling method because having a large sample size can lead to obtaining strong statistical power (Suen et al, 2014). However, due to the limited availability of required data related to national antecedents, the research sampling began with 185 countries and ended with 162 countries.…”