TY - GEN
T1 - Computer, whom should I hire? - Acceptance criteria for artificial intelligence in the recruitment process
AU - Laurim, Vanessa
AU - Arpaci, Selin
AU - Prommegger, Barbara
AU - Krcmar, Helmut
N1 - Publisher Copyright:
© 2021 IEEE Computer Society. All rights reserved.
PY - 2021
Y1 - 2021
N2 - In the war for talents, the need for appropriate tools to fill open positions with the right talents is becoming increasingly important for employers. AI-based technologies simplify recruiters' daily work and increase the efficiency of the recruitment process by replacing time-consuming approaches. However, little is known about the reactions of stakeholders to AI-based recruiting. Thus, this paper aims to identify personal and contextual factors that influence the acceptance of AI-based technologies in the recruitment process. Based on the interviews with recruiters, managers, and applicants involved in the recruitment process, we present that transparency, complementary features of the AI tools, and a sense of control play key roles in the acceptance of AI-based technology when used for recruiting. The findings contribute to research on the adoption of AI in the recruitment process and provide recommendations on the use of AI technologies when hiring talents.
AB - In the war for talents, the need for appropriate tools to fill open positions with the right talents is becoming increasingly important for employers. AI-based technologies simplify recruiters' daily work and increase the efficiency of the recruitment process by replacing time-consuming approaches. However, little is known about the reactions of stakeholders to AI-based recruiting. Thus, this paper aims to identify personal and contextual factors that influence the acceptance of AI-based technologies in the recruitment process. Based on the interviews with recruiters, managers, and applicants involved in the recruitment process, we present that transparency, complementary features of the AI tools, and a sense of control play key roles in the acceptance of AI-based technology when used for recruiting. The findings contribute to research on the adoption of AI in the recruitment process and provide recommendations on the use of AI technologies when hiring talents.
UR - http://www.scopus.com/inward/record.url?scp=85108312990&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85108312990
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 5495
EP - 5504
BT - Proceedings of the 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 54th Annual Hawaii International Conference on System Sciences, HICSS 2021
Y2 - 4 January 2021 through 8 January 2021
ER -