Table 6

Comparison of papers focused on identification stage (2021–2022)

SourceYearWhich SCRM stages are the area of focus?Which requirements are addressed?Methods
S1S2S3S4R1R2R3
Hongjin (2021) 2021YesNoNoYesYesYesNoMachine learning and IoT
Zhou et al. (2021) 2021YesNoNoNoYesNoNoXGBoost
Melançon et al. (2021) 2021YesYesYesNoYesNoYesGBDT, XGBoost, RF, LR and NN
Salamai et al. (2021) 2021YesNoNoNoYesYesNoVoting classifier
Luo et al. (2022) 2022YesNoNoNoYesNoNoPCA, SVM and AdaBoost
Aboutorab et al. (2022) 2022YesNoNoNoNoYesNoReinforcement Learning-based approach from text data
Heydarbakian and Spehri (2022) 2022YesNoNoNoYesNoYesDT and Naïve Bays
Liu et al. (2022) 2022YesNoNoNoYesYesNoANN, GA, PSA
Ganesh and Kalpana (2022b) 2022YesNoNoNoYesNoNoText mining
Shahidzadeh et al. (2022) 2022YesNoNoNoYesYesNoCNN
Kosasih et al. (2022) 2022YesNoNoNoYesNoYesGraph neural network
Makridis et al. (2022) 2022YesYesNoYesNoYesNoRL, NLP and Time series
Abouloifa and Bahaj (2022) 2022YesNoNoNoYesYesNoKNN, LR and RF
Lolla et al. (2022) 2022YesNoNoNoYesNoNoLR, XGBoost, Light GBM, RF

Source(s): Authors’ own creation

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