Leveraging of Social Media by Employers: Balancing Efficacy Against Ethics

Mehrotra, Anupam; Mariam, Sheza

doi:10.1109/icrito48877.2020.9197822

Cited by 2 publications

(1 citation statement)

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“…It is an acceptable reason business to examine job references for recruits, supervisors comprehensively, and middle-level managers to ensure person-organization fit, person-job fit, and person-work team fit. Job applicants' SM posts provide recruiters with important clues (Acikgoz and Bergman, 2016; Mehrotra and Mariam, 2020). Therefore, candidates' social media accounts (SMAs) can be considered digital job application references for managers to make the best recruitment decisions (Demir, 2015; Lam, 2016).…”

Section: Introductionmentioning

confidence: 99%

A digital job application reference: how do social media posts affect the recruitment process?

Demir

Günaydın²

2022

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PurposeThis study aims to determine the influence of candidate employees' social media accounts (SMAs) on human resource (HR) professionals' hiring decisions as a job application reference in the tourism industry.Design/methodology/approachUsing a qualitative approach, semi-structured interviews were conducted in tourism businesses, such as hotels, travel agencies, restaurants, bars, and ground-handling service companies. In-depth, open-ended interviews with 16 questions were conducted to gather data face to face between October 15 and December 20, 2021, with 38 HR professionals. The research questions were analyzed using thematic analysis and discussed under three main themes.FindingsThe findings of this study showed that HR managers in the tourism industry generally prefer to examine candidates' SMAs rather than traditional references because they can quickly and cheaply screen many applicants.Originality/valueSocial media (SM) is increasingly used as a crucial channel in recruitment within organizations. This paper contributes by filling a gap in HR management, which empirical studies on the influence of job applicant's SMAs on recruiters' hiring decisions have been limited so far.

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Section: Introductionmentioning

confidence: 99%