Statüko Yanlılığına İlişkin Bir Literatür İncelemesi ve Teorik Bir Model Önerisi

Statüko yanlılığı, hayat boyu verdiğimiz binlerce kararı etkileyen bilişsel bir yanlılıktır. Bu çalışmanın amacı, bizi çoğu zaman eylemsizliğe iten bu yanlılığı açıklayacak teorik bir model önermektir. Literatür taraması sonucu statüko etkisinin açıklayanları kişisel özellikler ve başka bazı bilişsel yanlılıklar olarak ele alınmıştır. Bu yanlılıklar batık maliyet yanlılığı, kayıptan kaçınma ve ihmal yanlılığıdır. Öte yandan pişmanlıktan kaçınma davranışı da statüko etkisini doğrudan açıklama potansiyeli olan değişkenlerden biri olarak ele alınmıştır. Bilişsel yansıma değişkeni ise, insanların ikinci sistemlerini kullanabilme yeteneklerinin bir ölçüsü olarak, bütün bilişsel yanlılıkların temelinde olabileceği fikrinden hareketle modele dahil edilmiştir. Ortaya konulan teorik model statüko yanlılığını besleyen kanalları aydınlatma potansiyeline sahiptir. Bu sayede statüko yanlılığına hangi durumlarda nasıl müdahale edilebileceğiyle ilgili öngörü ve politika önerileri geliştirilebilecektir.

A Literature Review and Theoretical Model Proposal on Status Quo Bias

Status quo bias is a cognitive bias that affects the thousands of decisions we make throughout our lives. The purpose of this study is to propose a theoretical model that explains this bias, which often leads us to inaction. The literature review has considered personal traits and other cognitive biases as explanations for the status quo effect. These biases include sunk cost fallacy, loss aversion, and omission bias. On the other hand, regret avoidance behavior is also considered as one of the variables that could directly explain the status quo effect. The cognitive reflection variable, as a measure of individuals' ability to use their second systems, has been included in the model based on the idea that it could underlie all cognitive biases. The theoretical model presented has the potential to shed light on the channels that fuel status quo bias. This, in turn, could lead to predictions and policy recommendations regarding when and how to intervene in status quo bias.

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