Using artificial intelligence to study the impact of jobseekers' Facebook profile pictures on recruiters’ interview decision
學年 111
學期 1
發表日期 2022-10-13
作品名稱 Using artificial intelligence to study the impact of jobseekers' Facebook profile pictures on recruiters’ interview decision
作品名稱（其他語言）
著者 Shu-Fen Ko; Eldon Y. Li; Ya-Ling Wu
作品所屬單位
出版者
會議名稱 Proceedings of the 22nd International Conference on Electronic Business (ICEB 2022)
會議地點 BANGKOK, Thailand
摘要 Previous research has shown that jobseekers’ information on Facebook influences recruiters’ decision-making. This study extends previous research by using artificial intelligence to study the impact of jobseekers' Facebook profile pictures sharing on recruiters' decision-making during the pandemics. For most people, Facebook is an integral part of everyday life. Facebook allows its jobseekers to interact with passive and active jobseekers in a low-cost and relatively easy way. Facebook is a useful business tool for companies and individuals to promote their brands, personal image and personality types. Jobseekers are one of the largest groups of Facebook jobseekers. Smart business recruiters and recruiters are using many tools and strategies to find the best Jobseekers on Facebook. Jobseekers’ Facebook profile pictures sharing has been a topic of interest to searchers in recent years. This study collected data from 500 Jobseekers' Facebook profile pictures and recruited 50 recruiters. The results show that the jobseekers' Facebook profile pictures are positively correlated with recruiters' interview decisions during the pandemic. This study uses artificial intelligence to judge the personality traits of jobseekers based on Facebook profile pictures and examines the impact of jobseekers' Facebook profile pictures and recruiters’ interview decisions.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20221013~20221017
通訊作者
國別 THA
公開徵稿
出版型式
出處
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/123523 )

SDGS 尊嚴就業與經濟發展,永續城市與社區