Date of Award
Harold Pardue, Ph.D.
Social media has altered the ways in which people interact. Business-focused social media profiles, such as those on LinkedIn, can act as a proxy for a traditional resume. However, these websites differ from a traditional resume in that information presented is sometimes informal, personal, and irrelevant to the member’s career. Furthermore, HR employees are able to view a job candidate’s social network. This research investigates the influence of a recruiter’s knowledge of an applicant’s professional network on the recruiter’s perception of the applicant’s trustworthiness and hence their willingness to take risk in the hiring relationship. A review of the literature covered two areas of research: trust and the use of social networks in hiring. While previous studies connected the trust model to LinkedIn, none of them addressed the influence of a LinkedIn profile’s social network on a hiring manager’s perception of the candidate’s trustworthiness. A survey-based experiment was designed to evaluate how network association bias, a newly created construct, affects a hiring manager’s perception of a job candidate’s ability and benevolence. The experimental model was based on Mayer, Davis, and Schoorman’s trust model. A structural equation modeling (SEM) analysis was conducted in RStudio using the lavaan latent variable modeling package. ix The results of this experiment reveal that that a job candidate’s social network impacts how the candidate’s levels of ability and benevolence are perceived by others. Furthermore, it is suggested that a recruiter’s propensity to trust influences the relationship between network association bias and a job candidate’s ability.
Kibby, Hannah V., "Analyzing Business-Focused Social Networks in Hiring: The Influence of a Job Candidate's Network on a Recruiter's Hiring Recommendation" (2022). Theses and Dissertations. 101.
Business Administration, Management, and Operations Commons, Business Analytics Commons, Business and Corporate Communications Commons, Management Sciences and Quantitative Methods Commons, Other Business Commons, Other Computer Sciences Commons