Can I show my skills? Affective responses to artificial intelligence in the recruitment process

吸引力 选择(遗传算法) 情商 过程(计算) 心理学 德国的 人员选择 计算机科学 社会心理学 应用心理学 人工智能 管理 考古 精神分析 经济 历史 操作系统
作者
Alina Köchling,Marius Claus Wehner,Josephine Warkocz
出处
期刊:Review of Managerial Science [Springer Science+Business Media]
卷期号:17 (6): 2109-2138 被引量:77
标识
DOI:10.1007/s11846-021-00514-4
摘要

Abstract Companies increasingly use artificial intelligence (AI) and algorithmic decision-making (ADM) for their recruitment and selection process for cost and efficiency reasons. However, there are concerns about the applicant’s affective response to AI systems in recruitment, and knowledge about the affective responses to the selection process is still limited, especially when AI supports different selection process stages (i.e., preselection, telephone interview, and video interview). Drawing on the affective response model, we propose that affective responses (i.e., opportunity to perform, emotional creepiness) mediate the relationships between an increasing AI-based selection process and organizational attractiveness. In particular, by using a scenario-based between-subject design with German employees (N = 160), we investigate whether and how AI-support during a complete recruitment process diminishes the opportunity to perform and increases emotional creepiness during the process. Moreover, we examine the influence of opportunity to perform and emotional creepiness on organizational attractiveness. We found that AI-support at later stages of the selection process (i.e., telephone and video interview) decreased the opportunity to perform and increased emotional creepiness. In turn, the opportunity to perform and emotional creepiness mediated the association of AI-support in telephone/video interviews on organizational attractiveness. However, we did not find negative affective responses to AI-support earlier stage of the selection process (i.e., during preselection). As we offer evidence for possible adverse reactions to the usage of AI in selection processes, this study provides important practical and theoretical implications.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
cy发布了新的文献求助10
2秒前
2秒前
默默的立辉完成签到,获得积分10
2秒前
3秒前
共享精神应助xch采纳,获得10
3秒前
袁淑雅发布了新的文献求助10
4秒前
小二郎应助能干代双采纳,获得10
4秒前
4秒前
4秒前
badada发布了新的文献求助10
4秒前
lyon发布了新的文献求助10
5秒前
5秒前
NexusExplorer应助uil采纳,获得10
5秒前
6秒前
顺利的似狮完成签到,获得积分10
7秒前
风清扬应助LO7pM2采纳,获得30
7秒前
7秒前
7秒前
7秒前
英俊的念寒完成签到,获得积分10
7秒前
情怀应助如意白猫采纳,获得10
8秒前
李峰完成签到,获得积分10
8秒前
陶醉凝丝完成签到 ,获得积分10
8秒前
wqiao2010发布了新的文献求助10
9秒前
9秒前
badada完成签到,获得积分10
10秒前
科研通AI5应助wangruize采纳,获得10
10秒前
上官若男应助shuichong采纳,获得10
10秒前
康米发布了新的文献求助10
11秒前
11秒前
12秒前
13秒前
李健的粉丝团团长应助lyon采纳,获得10
13秒前
小樱颖子完成签到 ,获得积分10
13秒前
虚幻诗柳应助胡锦久采纳,获得10
13秒前
14秒前
科研通AI5应助雷寒云采纳,获得10
14秒前
科研通AI5应助carmady采纳,获得10
14秒前
西啃发布了新的文献求助10
15秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Zeolites: From Fundamentals to Emerging Applications 1500
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
By R. Scott Kretchmar - Practical Philosophy of Sport and Physical Activity - 2nd (second) Edition: 2nd (second) Edition 666
Energy-Size Reduction Relationships In Comminution 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4940451
求助须知:如何正确求助?哪些是违规求助? 4206580
关于积分的说明 13074753
捐赠科研通 3985154
什么是DOI,文献DOI怎么找? 2182031
邀请新用户注册赠送积分活动 1197696
关于科研通互助平台的介绍 1110012