Online job vacancy attractiveness: Increasing views, reactions and conversions

• Published in: Electronic commerce research and applications Vol. 55; p. 101192
• Main Authors: Košťálová, Zuzana, Lyócsa, Štefan, Štefánik, Miroslav
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2022
• Subjects: E-recruitment; Machine learning; Morphological text analysis; Online job vacancy; Webpage attractiveness; Webpage views; E-recruitment; MAE; Webpage views; Morphological text analysis; Machine learning; Webpage attractiveness; OJV; MCS; Online job vacancy; MSE

•We study the predictors of online job posting attractiveness: views, reactions and conversions.•In terms of the MSE and MAE, the linear models do not perform well.•Random forest consistently outperforms the benchmark and linear models.•Variable importance is tested within an MCS approach.•Job class...