DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwon, Donghwan | - |
dc.date.accessioned | 2024-07-30T19:30:34Z | - |
dc.date.available | 2024-07-30T19:30:34Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1096005&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/321337 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 기술경영학부, 2024.2,[iii, 36 p. :] | - |
dc.description.abstract | With the increasing importance of corporate talent acquisition, there is a growing interest among companies in adopting artificial intelligence-based recruitment systems to enhance the efficiency of the hiring process and provide applicants with new recruiting experiences. Despite this growing interest, most research has predominantly focused on comparative analyses between AI and human recruiters or studies exploring consumer perceptions of services provided from the perspective of AI-human collaboration. Consequently, there is a lack of research addressing the influence of artificial intelligence services' form and contextual context on consumer perceptions. To address this research gap, based on CASA theory, this study investigates how the anthropomorphism level of an AI recruiter's appearance and decision valence affect applicants' perceptions of justice and attractiveness toward the company through a 2*2 scenario-based experiment. This study is meaningful in providing insights for companies considering AI adoption strategies in the recruiting process, especially for AI recruitment solution developers and companies exploring adopting AI systems. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 인공지능 면접▼aCASA 이론▼a조직 공정성▼a조직 매력도▼a결과 편향 | - |
dc.subject | AI recruitment▼aCASA theory▼aOrganizational Justice▼aOrganizational Attractiveness▼aOutcome bias | - |
dc.title | Investigating the impact of AI recruiter's anthropomorphism and decision valence on organizational justice and attractiveness in AI recruitment | - |
dc.title.alternative | AI 면접관의 의인화 정도와 면접 결과가 지원자의 기업에 대한 공정성 인식과 매력도에 미치는 영향 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :기술경영학부, | - |
dc.contributor.alternativeauthor | 권동환 | - |
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