Towards expert–machine collaborations for technology valuation
An interpretable machine learning approach
Bibliographic Data
| ID | 21403615 |
|---|---|
| Authors | Juram Kim (0000-0003-4650-7045, Korea Institute of Science & Technology Information), Gyumin Lee (0000-0002-8610-2969, Ulsan National Institute of Science and Technology), Seungbin Lee (Sogang University), Changyong Lee (0000-0002-1636-9481, Korea University, corresponding author) |
| Year | 2022 |
| Volume | 183 |
| Pages | 121940 |
| Publication date | 2022-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2022.121940 |
| OpenAlex | W4293180364 |
| Language | EN |
| Citations received | 3 |
| References cited | 46 |
Data science · Database · Database transaction · Economics · Field (mathematics) · Industrial engineering · Machine learning · Valuation (finance) · Artificial Intelligence · Capital Investment and Risk Analysis · Computer Science · Engineering · Innovation Policy and RD · Intellectual Property and Patents · Mathematics
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| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |