2021
DOI: 10.1017/iop.2021.79
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“I” feel(s) left out: The importance of information and communication technology in personnel selection research

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Cited by 3 publications
(8 citation statements)
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“…From the perspective of the current study, the most important division separates SNSs into two types: (a) communities of people who share some type of professional interests (e.g., LinkedIn); and (b) "egological" ones, the purpose of which is building relations among groups of peoples (e.g., Facebook). This division is the one most commonly used in research on the use of SNSs in HR practices (Aguado et al, 2016;Roth et al, 2016;Cook et al, 2020;Roulin et al, 2021). Both types of SNSs "allow individuals: (a) to build a public or semi-public profile within a well-defined system, (b) to articulate a list of users with whom they have a connection and, finally, (c) to see and cross their connections list with others made by different individuals belonging to the same system" (Gonzalez et al, 2019, p. 707).…”
Section: Social Media and Their Typesmentioning
confidence: 99%
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“…From the perspective of the current study, the most important division separates SNSs into two types: (a) communities of people who share some type of professional interests (e.g., LinkedIn); and (b) "egological" ones, the purpose of which is building relations among groups of peoples (e.g., Facebook). This division is the one most commonly used in research on the use of SNSs in HR practices (Aguado et al, 2016;Roth et al, 2016;Cook et al, 2020;Roulin et al, 2021). Both types of SNSs "allow individuals: (a) to build a public or semi-public profile within a well-defined system, (b) to articulate a list of users with whom they have a connection and, finally, (c) to see and cross their connections list with others made by different individuals belonging to the same system" (Gonzalez et al, 2019, p. 707).…”
Section: Social Media and Their Typesmentioning
confidence: 99%
“…Many researchers are skeptical about the predictive value of using Facebook as a data source in employee selection processes (Van Iddekinge et al, 2016;Zhang et al, 2020;Roulin et al, 2021). Opinions on data extracted from LinkedIn are sometimes more favorable (Cook et al, 2020;Roulin et al, 2021).…”
Section: Social Media and Their Recruitment Usementioning
confidence: 99%
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