Comparison of papers focused on identification stage (2021–2022)
| Source | Year | Which SCRM stages are the area of focus? | Which requirements are addressed? | Methods | |||||
|---|---|---|---|---|---|---|---|---|---|
| S1 | S2 | S3 | S4 | R1 | R2 | R3 | |||
| Hongjin (2021) | 2021 | Yes | No | No | Yes | Yes | Yes | No | Machine learning and IoT |
| Zhou et al. (2021) | 2021 | Yes | No | No | No | Yes | No | No | XGBoost |
| Melançon et al. (2021) | 2021 | Yes | Yes | Yes | No | Yes | No | Yes | GBDT, XGBoost, RF, LR and NN |
| Salamai et al. (2021) | 2021 | Yes | No | No | No | Yes | Yes | No | Voting classifier |
| Luo et al. (2022) | 2022 | Yes | No | No | No | Yes | No | No | PCA, SVM and AdaBoost |
| Aboutorab et al. (2022) | 2022 | Yes | No | No | No | No | Yes | No | Reinforcement Learning-based approach from text data |
| Heydarbakian and Spehri (2022) | 2022 | Yes | No | No | No | Yes | No | Yes | DT and Naïve Bays |
| Liu et al. (2022) | 2022 | Yes | No | No | No | Yes | Yes | No | ANN, GA, PSA |
| Ganesh and Kalpana (2022b) | 2022 | Yes | No | No | No | Yes | No | No | Text mining |
| Shahidzadeh et al. (2022) | 2022 | Yes | No | No | No | Yes | Yes | No | CNN |
| Kosasih et al. (2022) | 2022 | Yes | No | No | No | Yes | No | Yes | Graph neural network |
| Makridis et al. (2022) | 2022 | Yes | Yes | No | Yes | No | Yes | No | RL, NLP and Time series |
| Abouloifa and Bahaj (2022) | 2022 | Yes | No | No | No | Yes | Yes | No | KNN, LR and RF |
| Lolla et al. (2022) | 2022 | Yes | No | No | No | Yes | No | No | LR, XGBoost, Light GBM, RF |
| Source | Year | Which SCRM stages are the area of focus? | Which requirements are addressed? | Methods | |||||
|---|---|---|---|---|---|---|---|---|---|
| S1 | S2 | S3 | S4 | R1 | R2 | R3 | |||
| 2021 | Yes | No | No | Yes | Yes | Yes | No | Machine learning and IoT | |
| 2021 | Yes | No | No | No | Yes | No | No | XGBoost | |
| 2021 | Yes | Yes | Yes | No | Yes | No | Yes | GBDT, XGBoost, RF, LR and NN | |
| 2021 | Yes | No | No | No | Yes | Yes | No | Voting classifier | |
| 2022 | Yes | No | No | No | Yes | No | No | PCA, SVM and AdaBoost | |
| 2022 | Yes | No | No | No | No | Yes | No | Reinforcement Learning-based approach from text data | |
| 2022 | Yes | No | No | No | Yes | No | Yes | DT and Naïve Bays | |
| 2022 | Yes | No | No | No | Yes | Yes | No | ANN, GA, PSA | |
| 2022 | Yes | No | No | No | Yes | No | No | Text mining | |
| 2022 | Yes | No | No | No | Yes | Yes | No | CNN | |
| 2022 | Yes | No | No | No | Yes | No | Yes | Graph neural network | |
| 2022 | Yes | Yes | No | Yes | No | Yes | No | RL, NLP and Time series | |
| 2022 | Yes | No | No | No | Yes | Yes | No | KNN, LR and RF | |
| 2022 | Yes | No | No | No | Yes | No | No | LR, XGBoost, Light GBM, RF | |
Source(s): Authors’ own creation