Association rules mining for job seekers' profiles based on Personality traits and Facebook usage

dc.contributor.authorOlaleye, S.A.
dc.contributor.authorKolog, E.A.
dc.contributor.authorUkpabi, D.C.
dc.contributor.authoret al.
dc.date.accessioned2024-06-06T11:20:50Z
dc.date.available2024-06-06T11:20:50Z
dc.date.issued2022
dc.descriptionResearch Articleen_US
dc.description.abstractPersonality traits play a significant role in many organizational parameters, such as job satisfaction, performance, employability, and leadership for employers. One of the major social networks, the unemployed people derive satisfaction from Facebook. The focus of this article is to introduce association rules mining, and demonstrate how it may be applied by employers to unravel the characteristic profiles. of the unemployed Facebook users in the recruitment process by employers, for example, recruitment of public relations officers, marketers, and advertisers. data for this study comprised 3000 unemployed Facebook users in Nigeria. This study employs association rule mining for mining that is hidden but interesting and unusual relationships among unemployed Facebook users. The fundamental finding of this study is that employers of labour can adopt association rules mining to unravel job-relevant attributes suitable for specific organisational tasks by examining Facebook activities of potential employees. Other managerial and theoretical implications are discussed.en_US
dc.identifier.otherhttps://doi.org/10.1504/IJBIS.2022.124933
dc.identifier.urihttp://ugspace.ug.edu.gh:8080/handle/123456789/42174
dc.language.isoenen_US
dc.publisherInternational Journal of Business Information Systemsen_US
dc.subjectassociation rules miningen_US
dc.subjectunemploymenten_US
dc.subjectpersonality traitsen_US
dc.titleAssociation rules mining for job seekers' profiles based on Personality traits and Facebook usageen_US
dc.typeArticleen_US

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