Abstract
The purpose of this original work is to find the determining factors affecting graduate students’ usage of online social
media (e.g., Facebook) as a job searching tool. Based on rigorous literature review three latent variables (i.e., graduate
students’ perception about Facebook as effective for professional networking, their Facebook usage pattern, and job
recruiter’s responsiveness on their Facebook pages) are hypothesized to have significant positive impact on Facebook
usage as a job searching tool. Covariance-based Structural Equation Modelling (CB-SEM) followed by Confirmatory Factor
Analysis (CFA) is applied to analyse data from 200 respondents incorporated into 13 observed variables and to get the
concluding remarks regarding the hypothesized relationships. All of three latent variables are found to have significant
positive impact on the dependent latent construct. Findings are also bearing great importance for the HR policy makers in
terms of addressing the issue of how to deal with online social media during recruitment process.
media (e.g., Facebook) as a job searching tool. Based on rigorous literature review three latent variables (i.e., graduate
students’ perception about Facebook as effective for professional networking, their Facebook usage pattern, and job
recruiter’s responsiveness on their Facebook pages) are hypothesized to have significant positive impact on Facebook
usage as a job searching tool. Covariance-based Structural Equation Modelling (CB-SEM) followed by Confirmatory Factor
Analysis (CFA) is applied to analyse data from 200 respondents incorporated into 13 observed variables and to get the
concluding remarks regarding the hypothesized relationships. All of three latent variables are found to have significant
positive impact on the dependent latent construct. Findings are also bearing great importance for the HR policy makers in
terms of addressing the issue of how to deal with online social media during recruitment process.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | Review of Public Administration and Management |
| Volume | 6 |
| Issue number | 2 |
| Publication status | Published - 3 Nov 2018 |