<![CDATA[This study examines the influence of Google Play Store metadata signals on user ratings and market adoption of mobile accounting applications. Drawing on Signaling Theory and the DeLone and McLean Information Systems Success Model, the study analyzes five signals: review volume, review sentiment, update frequency, developer response, and permission complexity. User rating is positioned as a mediating variable, while market adoption is measured through installation-related indicators. The study employs a quantitative explanatory design using structured data representing 50 accounting and business applications. Data are analyzed using partial least squares structural equation modeling with SmartPLS 4 and 5,000 bootstrap subsamples. The results show that review sentiment positively affects user rating, while review volume positively affects market adoption. Update frequency, developer response, and permission complexity do not significantly affect either rating or adoption. User rating also does not significantly affect adoption and fails to mediate the relationships between metadata signals and market adoption. The findings indicate that informational and social-proof signals are more influential than system-maintenance and service-response signals in accounting application marketplaces.]]>
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