Paradoks Pelaporan Keuangan Real-Time: Tinjauan Literatur Sistematis mengenai Kelebihan Informasi dan Bias Kognitif Investor
Abstract
Tujuan – Untuk mensintesis literatur terkini mengenai dampak strategis RTFR terhadap efisiensi pasar, perilaku investor, dan tantangan regulasi di era kecerdasan buatan (AI).
Metodologi – Metode tinjauan literatur sistematis, studi ini menganalisis interaksi antara ketersediaan data instan dengan dinamika psikologis investor. Dengan menggunakan alur PRISMA, semua artikel internasional dan nasional dipilah agar adanya transparansi, objektivitas dan keterulangan dalam proses SLR dan keterkaitan AI dan blockchain dalam pelaporan keuangan yang modern.
Temuan – Temuan menunjukkan bahwa meskipun RTFR berhasil memitigasi asimetri informasi, ketersediaan data yang berlebihan (information overload) justru berpotensi memicu bias kognitif dan keputusan investasi yang impulsif. Integrasi AI dan blockchain diidentifikasi sebagai solusi masa depan untuk menjamin transparansi mutlak, namun efektivitasnya sangat bergantung pada kesiapan infrastruktur siber dan kerangka etika algoritma.
Implikasi – Secara praktis, hasil studi ini memberikan masukan bagi regulator dalam merumuskan kerangka pengawasan pasar modal yang adaptif serta pentingnya peningkatan literasi digital bagi investor. Secara teoretis, penelitian ini memperkaya literatur mengenai dampak psikologis dan teknologis dari pelaporan keuangan waktu nyata.
Kebaruan – Keberhasilan implementasi RTFR memerlukan sinergi antara inovasi teknologi, pengawasan regulasi yang adaptif, dan peningkatan literasi digital investor untuk menjaga stabilitas pasar modal jangka panjang.
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Paulina Yuritha Amtiran(1*)











