---
title: Enhancing Consumer Satisfaction with Investment Allocation
url: https://www.ml-quant.com/papers/repec/eee-joreco-v-82-y-2025-i-c-s0969698924004363/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:joreco:v:82:y:2025:i:c:s0969698924004363
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0969698924004363%3Bh%3Drepec%3Aeee%3Ajoreco%3Av%3A82%3Ay%3A2025%3Ai%3Ac%3As0969698924004363
featured: 2025-01-01
citations: unknown
topic: Portfolio & Allocation
---


# Enhancing Consumer Satisfaction with Investment Allocation

The article suggests a new method for assessing the significance of product features and their effect on customer satisfaction. This method uses online reviews and mathematical programming to aid businesses in creating investment strategies for product enhancement.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0969698924004363%3Bh%3Drepec%3Aeee%3Ajoreco%3Av%3A82%3Ay%3A2025%3Ai%3Ac%3As0969698924004363
- Identifier: RePEc:eee:joreco:v:82:y:2025:i:c:s0969698924004363
- Released: 2025-01-01
- First featured: Quant Letter No. 80 (2025-01-01): https://www.ml-quant.com/issues/2025-01-01/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Portfolio & Allocation

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