# Understanding and predicting online product return behavior: An interpretable machine learning approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/understanding-and-predicting-online-product-return-behavior-an-interpretable/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Quang Huy Duong,Li Zhou,Truong Van Nguyen,Meng Meng |
| Citations | 16 |
| DOI | 10.1016/j.ijpe.2024.109499 |
| Fields | Business, Management and Accounting,Decision Sciences |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4405484433 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Quang Huy Duong](https://scholariq.org/researchers/quang-huy-duong/)

## Paper primary topic

- [Consumer Market Behavior and Pricing](https://scholariq.org/topics/consumer-market-behavior-and-pricing/)

## Paper topics

- [Consumer Market Behavior and Pricing](https://scholariq.org/topics/consumer-market-behavior-and-pricing/)
- [Innovation Diffusion and Forecasting](https://scholariq.org/topics/innovation-diffusion-and-forecasting/)
- [Stock Market Forecasting Methods](https://scholariq.org/topics/stock-market-forecasting-methods/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.