DİJİTAL OYUNLARDA FİYAT-DEĞER İLİŞKİSİNİN ÖLÇÜLMESİ: HEDONİK FİYATLAMA, KUANTİL REGRESYON VE VERİ ZARFLAMA ANALİZİ YAKLAŞIMI

Abstract

Bu çalışma, dijital oyunlarda fiyatın kalite, popülerlik, içerik ve yayıncı yapısı göstergeleriyle ne ölçüde uyumlu olduğunu incelemektedir. Steam mağazasından derlenen 500 ücretli oyundan oluşan veri seti kullanılmış; fiyat-değer ilişkisi hedonik fiyatlama modeli, kuantil regresyon ve veri zarflama analizi ile değerlendirilmiştir. Ana modelde bağımlı değişken log fiyat, açıklayıcı değişkenler ise kullanıcı değerlendirme oranı, toplam yorum sayısının logaritması, oyun yaşı, indirim oranı, çok oyunculu destek, tür ve yayıncı grubu olarak belirlenmiştir. Bulgular, fiyatı en tutarlı biçimde açıklayan değişkenlerin yorum hacmi, indirim oranı, oyun yaşı ve yayıncı grubu olduğunu göstermektedir. Kuantil regresyon sonuçları, bu etkilerin düşük, orta ve yüksek fiyat segmentlerinde farklı yoğunluklarda sürdüğünü ortaya koymaktadır. Veri zarflama analizi ise yüksek fiyatlı oyunların her zaman daha yüksek fiyat-değer etkinliği üretmediğini; düşük ve orta fiyatlı bazı oyunların güçlü kullanıcı çıktılarıyla etkin referanslar oluşturduğunu göstermektedir. Çalışma, dijital ürünlerde fiyatlandırma ve tüketici değeri ilişkisine oyun pazarı üzerinden ampirik bir ölçüm çerçevesi sunmaktadır.

Keywords

• Dijital Oyunlar
• Fiyat-Değer İlişkisi
• Hedonik Fiyatlama
• Kuantil Regresyon
• Veri Zarflama Analizi

MEASURING THE PRICE-VALUE RELATIONSHIP IN DIGITAL GAMES: A HEDONIC PRICING, QUANTILE REGRESSION AND DATA ENVELOPMENT ANALYSIS APPROACH

Abstract

This study examines the relationship of digital game prices with quality, visibility, life-cycle, and publisher-structure indicators and the relative efficiency of games in observed user outputs per unit of price. Cross-sectional data on 500 paid Steam games, collected on 20–21 May 2026 and selected through stratified sampling, are used. Hedonic pricing estimates average price associations, quantile regression evaluates their profiles across the price distribution, and input-oriented data envelopment analysis assesses the relative efficiency of the positive-review ratio and review volume with price as the input. In HC3-robust estimates, review volume is positively associated with price, whereas the discount rate, game age, and independent-publisher groups are negatively associated. Bootstrap tests show no pervasive differences except between the 0.50 and 0.75 quantiles for publisher-backed independent games. Twelve games are on the variable-returns frontier, whereas only one is on the constant-returns frontier. The findings show that market signals associated with price and observed user outputs per unit of price are distinct concepts. Data envelopment analysis scores are not comprehensive measures of consumer value or game quality.

Keywords

• Digital Games
• Price-Value Relationship
• Hedonic Pricing
• Quantile Regression
• Data Envelopment Analysis

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