Reducing Uncertainty Prior to Job Interviews based on the Linkedin Profile of Achmad Zaky as a Potential Office Supervisor

IF 2.1
Angga Guslim
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引用次数: 0

Abstract

The development of social media in everyday life is very rapid, both in personal and professional contexts. LinkedIn, as a social media with a professional concept, has been able to become an intermediary in interpersonal communication. The professional job interview process makes many candidates feel anxious before the selection process. Uncertainty Reduction theory becomes the author's reference in revealing the predictability of the job interview process by the number one leader in the company. This research aims to find out and analyze whether Achmad Zaky's LinkedIn profile account can reduce uncertainty during a job interview with him and to find out and analyze whether Achmad Zaky's LinkedIn profile account can predict the questions he will ask during the interview later. This research uses a qualitative method, which is a comprehensive analysis of all activities to all text and image data listed on his LinkedIn profile account through 3 former candidates who have been interviewed by Achmad Zaky. The results show the predictability of questions from Achmad Zaky in the job interview process, this includes his entire LinkedIn profile account in the form of a brief bio, work experience and community, education history, honorary awards and activities consisting of 7 articles and 180 posts during his tenure at the company.
减少面试前的不确定性——基于潜在办公室主管艾哈迈德·扎基的Linkedin简介
社交媒体在日常生活中的发展非常迅速,无论是在个人还是职业环境中。LinkedIn作为一个具有专业概念的社交媒体,已经能够成为人际沟通的中介。专业的工作面试过程让许多候选人在选择过程之前感到焦虑。不确定性减少理论成为作者揭示公司头号领导者面试过程的可预测性的参考。本研究旨在了解和分析Achmad Zaky的LinkedIn个人资料帐户是否可以减少与他面试时的不确定性,并了解和分析Achmad Zaky的LinkedIn个人资料帐户是否可以预测他在随后的面试中会提出的问题。本研究采用定性分析的方法,通过3位曾被ahmad Zaky面试过的候选人,对其LinkedIn个人资料账户上的所有文字和图像数据进行综合分析。结果显示了Achmad Zaky在面试过程中提出的问题的可预测性,这包括他在LinkedIn上的个人简介、工作经历和社区、教育经历、荣誉奖项和活动,包括他在公司任职期间的7篇文章和180篇帖子。
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来源期刊
World Journal of Science Technology and Sustainable Development
World Journal of Science Technology and Sustainable Development GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
5.50
自引率
0.00%
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0
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