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	Skala Sprawiedliwości Cenowej	Amerykański Indeks Satysfakcji Klienta (ACSI)
Dziedzina	Zarządzanie marketingiem	Zarządzanie marketingiem
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2004	1996
Twórca	Ling Xia, Kent B. Monroe, Jennifer L. Cox	Claes Fornell, Michael D. Johnson, Eugene W. Anderson, Jaesung Cha, Barbara E. Bryant
Typ	Multi-dimensional price fairness scale	Structural equation model for satisfaction and loyalty
Źródło pierwotne	Campbell, M. C. (2005). Perceived Price Fairness. MIT Sloan Management Review, 46(3), 30-35.	Fornell, C., Johnson, M. D., Anderson, E. W., Cha, J., & Bryant, B. E. (1996). The American Customer Satisfaction Index: Nature, Purpose, and Findings. Journal of Marketing, 60(4), 7-18.
Inne nazwy	Pricing Justice Scale, Fair Price Perception Scale	ACSI, National Customer Satisfaction Index
Pokrewne	3	4
Podsumowanie	The Price Fairness Scale (PFS), developed by Xia, Monroe, and Cox (2004), measures customer perception of whether a charged price is fair and reasonable relative to value received and market comparison. Price fairness assessment differs from absolute price satisfaction: customers may perceive a price as high but fair if quality justifies it, or as low but unfair if they suspect price discrimination or exploitation. The PFS captures three dimensions of price fairness judgment: Distributive Fairness (whether the price-value ratio is equitable), Procedural Fairness (whether the pricing process is transparent and non-discriminatory), and Interactional Fairness (whether pricing explanations are respectful). The scale is critical for premium pricing strategy, price increases, and dynamic pricing implementation.	The American Customer Satisfaction Index (ACSI), developed by Fornell and colleagues in 1996, is a structural equation modeling-based approach to measuring and predicting customer satisfaction across industries and over time. ACSI assesses customer expectations, perceived value, perceived quality, complaints, and loyalty in a unified framework. Since 1994, ACSI data has been collected quarterly on thousands of customers across diverse U.S. industries, making it a key economic indicator and benchmark for organizational performance.