Job candidates’ reactions to AI-Enabled job application processes
| Autor: | J. Stewart Black, Patrick van Esch, Denni Arli |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
ComputingMethodologies_PATTERNRECOGNITION
Knowledge management ComputingMilieux_THECOMPUTINGPROFESSION Computer science business.industry Process (engineering) Mechanical Engineering Energy Engineering and Power Technology Management Science and Operations Research business GeneralLiterature_MISCELLANEOUS |
| Zdroj: | AI and Ethics. 1:119-130 |
| ISSN: | 2730-5961 2730-5953 |
| Popis: | Organizations are increasingly using AI-enabled technology and tools in their recruiting processes. However, little is known about how job candidates view AI-enabled job application systems and whether those views influence the likelihood that they will apply for jobs in such cases. Our research finds that attitudes toward AI use in the job application process in general, and attitudes toward organizations that use AI in the job application process in particular, are strongly related to the intent of prospective employees to apply for jobs at those organizations that have AI-enabled job application processes. Given the growing use of AI technology and tools in candidate recruitment, and given that organizations primarily select from and offer jobs to those who have completed the job application process, a better understanding of what influences candidates’ reactions to AI-enabled recruiting could provide valuable insights into how organizations can more effectively manage those activities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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