范围(计算机科学)
探索性研究
任务(项目管理)
心理学
选择(遗传算法)
知识管理
感知
计算机科学
人工智能
管理
社会学
人类学
经济
神经科学
程序设计语言
作者
Christine Malin,Cordula Kupfer,Jürgen Fleiß,Bettina Kubicek,Stefan Thalmann
出处
期刊:Administrative Sciences
[Multidisciplinary Digital Publishing Institute]
日期:2023-10-30
卷期号:13 (11): 231-231
被引量:5
标识
DOI:10.3390/admsci13110231
摘要
Despite the high potential of artificial intelligence (AI), its actual adoption in recruiting is low. Explanations for this discrepancy are scarce. Hence, this paper presents an exploratory interview study investigating HR professionals’ beliefs about AI to examine their impact on use cases and barriers and to identify the reasons that lead to the non-adoption of AI in recruiting. Semi-structured interviews were conducted with 25 HR professionals from 21 companies. The results revealed that HR professionals’ beliefs about AI could be categorised along two dimensions: (1) the scope of AI and (2) the definition of instruction. “Scope of Al” describes the perceived technical capabilities of AI and determines the use cases that HR professionals imagine. In contrast, the “definition of instruction” describes the perceived effort to enable an AI to take on a task and determines how HR professionals perceive barriers to Al. Our findings suggest that HR professionals’ beliefs are based on vague knowledge about AI, leading to non-adoption. Drawing on our findings, we discuss theoretical implications for the existing literature on HR and algorithm aversion and practical implications for managers, employees, and policymakers.
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