Social media platforms such as Facebook, LinkedIn, and Twitter have been actively used by organizations to promote new job opportunities and search for prospective employees on both part- and full-time basis. However, the logic of making recruitment decisions is often biased based on unreasonable judgement related to social profile of the job seeker, who might use selected social network both for entertainment and job search purposes. Specifically, job seekers might be intentionally judged for sharing their political views or photos from social interactions in terms of controversial thinking, while the real match of skills to the job remains unassessed (Belinda et al. 101). Hence, in times of information and communication technology (ICT) proliferation, it is important to estimate how ethical decision making regarding the job fit should be manifested when people are recruited for the position.
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The following outline is proposed for the project based on the aforementioned problem statement. First, a comprehensive literature review should be conducted to evaluate current stance of business ethics in recruiting potential employees online and to determine potential problems in distinguishing personal and professional life expressions. Second, a rough methodological approach based on quantitative inquiry is proposed to collect the data from potential survey participants. Specifically, a focus on recent recruits in a chosen sector who were hired using social media campaigns is emphasized on. Third, statistical data analysis that evaluates the attitude of potential job seekers with ethical business attitudes demonstrated by recruiters will be conducted, eventually exploring additional factors that emerge on the social perception level. Finally, research findings will be related back to the literature observations, seeking for the future recommendations on improvements in managing ethical recruiting standards while exploring social networking opportunities.
Belinda, Casher D., et al. “Recruiting with Ethics in an Online Era: Integrating Corporate Social Responsibility with Social Media to Predict Organizational Attractiveness.” Journal of Vocational Behavior, vol. 109, 2018, pp. 101-117.