Non-professional investors: impact of XBRL on perceptions and performance. Research in progress
TL;DRAbstract
Extant research in accounting information systems has identified the link between information presentation and users’ performance. XBRL can markedly help enhance information presentation for users through its ability to address issues of the semantic meaning of financial information while making such information machine readable. This study, therefore, posits that non-professional investors will benefit from their interaction with XBRL-based financial statements. Information enhancement permitted by XBRL is considered to fit with non-professional investors’ needs, meaning that XBRL will improve data and information quality (DIQ) within financial statements. This paper will study whether or not higher non-professional investors’ perceived DIQ of XBRL leads to better decision making performance. When making decisions, several factors may also arise due to human cognitive limitations and bounded rationality, for example, perceived uncertainty, heuristic, and perceived fit. This study posi
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Extant research in accounting information systems has identified the link between information presentation and users’ performance. XBRL can markedly help enhance information presentation for users through its ability to address issues of the semantic meaning of financial information while making such information machine readable. This study, therefore, posits that non-professional investors will benefit from their interaction with XBRL-based financial statements. Information enhancement permitted by XBRL is considered to fit with non-professional investors’ needs, meaning that XBRL will improve data and information quality (DIQ) within financial statements. This paper will study whether or not higher non-professional investors’ perceived DIQ of XBRL leads to better decision making performance. When making decisions, several factors may also arise due to human cognitive limitations and bounded rationality, for example, perceived uncertainty, heuristic, and perceived fit. This study posi
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