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Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence

Evidence from past research and insights from an exploratory investigation are combined in a conceptual model that defines and relates price, perceived quality, and perceived value. Propositions about the concepts and their relationships are presented, then supported with…

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Value (mathematics) · Quality (philosophy) · Perception · Marketing · Conceptual model · Exploratory research · Business · Economics

# Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence > OpenAlex Metadata Hub · https://openalex.org/W2046752514 ## Bibliographic - **DOI:** 10.2307/1251446 - **Year:** 1988 - **Citations:** 12731 - **Open Access:** Yes (green) - **License:** cc-by - **Source:** https://repositorio.unal.edu.co/handle/unal/80431 ## Authors - Valarie A. Zeithaml ## Abstract Evidence from past research and insights from an exploratory investigation are combined in a conceptual model that defines and relates price, perceived quality, and perceived value. Propositions about the concepts and their relationships are presented, then supported with evidence from the literature. Discussion centers on directions for research and implications for managing price, quality, and value. ## Keywords Value (mathematics), Quality (philosophy), Perception, Marketing, Conceptual model, Exploratory research, Business, Economics, Psychology, Sociology, Computer science, Epistemology ## Concepts - Value (mathematics) - Quality (philosophy) - Perception - Marketing - Conceptual model - Exploratory research - Business - Economics - Psychology - Sociology - Computer science - Epistemology - Machine learning - Anthropology - Neuroscience - Database - Philosophy --- *Metadata only — full text not imported unless Open Access license permits.*
Bài “Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence” được TradingBase chuyển thành Knowledge Product cho trader — không phải trang đọc abstract OpenAlex. Tóm lược học thuật (đã diễn giải): Evidence from past research and insights from an exploratory investigation are combined in a conceptual model that defines and relates price, perceived quality, and perceived value. Propositions about the concepts and their relationships are presented, then supported with evidence from the literature. Discussion centers on directions for research and implications for managing price, quality, and value. Phần Trading Insights bên dưới nối nghiên cứu với Forex, vàng, USD, lãi suất và risk regime — để bạn đưa vào journal và playbook. Metadata DOI/OA chỉ là rail tham chiếu; nội dung chính là summary, takeaways và ứng dụng thị trường do Content Factory sinh.

1. Evidence from past research and insights from an exploratory investigation are combined in a conceptual model that defines and relates price, perceived quality, and perceived value.

2. Propositions about the concepts and their relationships are presented, then supported with evidence from the literature.

3. Discussion centers on directions for research and implications for managing price, quality, and value.

Các kỹ thuật ML/quantitative trong tài liệu hữu ích để tư duy feature & regime, nhưng không thay risk rules: luôn gắn signal với position sizing và news filter.

Góc Forex: đối chiếu kết luận bài với hành giá gần nhất và lịch tin impact cao trước khi vào lệnh.

Góc Gold (XAUUSD): đối chiếu kết luận bài với hành giá gần nhất và lịch tin impact cao trước khi vào lệnh.

  • Trading: rút 1 bias hoặc 1 setup hypothesis từ Key Takeaways, test trên demo/journal trước khi live.
  • Risk: chuyển insight thành rule (max risk/trade, pause quanh tin, correlation USD–vàng) và gắn vào playbook.
  • Journal: mỗi tuần ghi 1 đoạn “theory → market observation → outcome” dựa trên bài này.
  • Portfolio: nếu bài nói macro/liquidity, đánh dấu exposure risk-on/off và hedge (ví dụ XAU) tương ứng.
  • Prop Firm: ưu tiên trade có thesis macro rõ + news filter; tránh scalp trong cửa sổ tin nếu chưa có edge.
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