How the Modern Human Resources Management Can Take Advantage of Information From Social Media while Recruiting

Böhmová, Lucie; Pavlíček, Antonín

doi:10.1109/emctech49634.2020.9261522

Cited by 2 publications

(1 citation statement)

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“…Practically any reasonable test can be used to set parameters to evaluate predictors, providing the authors select the correct analytical method as well. This article has shown the same results as [33].…”

Section: Discussionsupporting

confidence: 75%

Innovations in Recruitment—Social Media

Böhmová¹,

Pavlíček²

2021

Adv. sci. technol. eng. syst. j.

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The main objective and contribution of the paper is to describe the creation of a model to support recruitment using social media information and its deployment in practice. The model includes the design of an automated solution for downloading social media data and a proposal for the subsequent analysis and creation of a predictive model based on the evaluation of user behavior on a social network. A final assessment of the effectiveness of the proposed model was made through formal validation and a case study. For the case study validation, the proposed model was implemented through use of the recruitment application called Prace Na Miru (PM; Tailored Work) for Facebook data extraction. A Myers Briggs Type Indicator (MBTI) personality test was used to determine the predictors of user social network behavior. Using cluster analysis and machine learning (or decision trees), a stochastic predictive model was developed to determine the personality type of candidates-the accuracy of MBTI personality category prediction ranges between 68% and 84% for individual cases, with a confirmation rate ranging between 43% and 81%. The case study confirmed the model's usefulness for supporting recruitment in a real-life deployment of the PM model.

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Section: Discussionsupporting

confidence: 75%