Self-presentation and hiring recommendations in online communities: Lessons from LinkedIn

Johannes Kuo Huie Chiang, Hung Yue Suen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Citations (Scopus)

Abstract

This study investigated how a job seeker self-presentation affects recruiter's hiring recommendations in an online communities and what categories of self-presentation contribute to fit perceptions for obtaining hiring recommendations. The study participants viewed potential candidates' LinkedIn profiles and responded to questions regarding the argument quality and source credibility of their self-presentations, fit perceptions, and hiring recommendations. The results show that recruiters make inferences about job seekers' person-job fit and person-organisation fit on the basis of argument quality in specific self-presentation categories, which in turn predict recruiters' intentions to recommend job seekers for hiring. Although certain specific categories of self-presentation offering source credibility have positive associations with person-person (P-P) fit perception, there is a non-significant relationship between perceived P-P fit and hiring recommendations.

Original languageEnglish
Pages (from-to)516-524
Number of pages9
JournalComputers in Human Behavior
Volume48
DOIs
Publication statusPublished - 2015 Jul
Externally publishedYes

Keywords

  • Elaboration likelihood model (ELM)
  • LinkedIn
  • Online community
  • Person-environment (P-E) fit
  • Recruitment
  • Self-presentation

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Human-Computer Interaction
  • Psychology(all)

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