Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)

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Research on Employee Work Behavior Characteristics in the AI Interview and Evaluation System under the Human-Robot Collaboration Mode: Based on the Job Characteristics Model

Authors
Yangyang Chen1, Xuli Ma1, Jing Chen1, *
1Chengdu University of Information Technology, Chengdu, 610000, China
*Corresponding author. Email: jchjoy@cuit.edu.cn
Corresponding Author
Jing Chen
Available Online 28 September 2023.
DOI
10.2991/978-94-6463-264-4_8How to use a DOI?
Keywords
job characteristic model; AI interviews; human-robot collaboration; human resources management
Abstract

Human-robot Collaboration (HRC) is the pivotal product under technology development. And AI interviews, as a new human resource product, have certain research significance. Based on the job characteristic model, this article takes human resource professionals engaging in recruitment as the research object. It uses a combination of interviews and big data analysis to study the intrinsic mechanisms empirically and influencing factors of AI interview and evaluation systems in HRC applications. The result shows that most HR professionals are willing to use AI for interviews, but their willingness varies depending on the industry, job position, age, and education level. The research findings will provide a theoretical basis and practical guidance for HR professionals in optimizing talent selection, work behaviors, and work modes.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
28 September 2023
ISBN
10.2991/978-94-6463-264-4_8
ISSN
2589-4900
DOI
10.2991/978-94-6463-264-4_8How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yangyang Chen
AU  - Xuli Ma
AU  - Jing Chen
PY  - 2023
DA  - 2023/09/28
TI  - Research on Employee Work Behavior Characteristics in the AI Interview and Evaluation System under the Human-Robot Collaboration Mode: Based on the Job Characteristics Model
BT  - Proceedings of the 2023 3rd International Conference on Education, Information Management and Service Science (EIMSS 2023)
PB  - Atlantis Press
SP  - 56
EP  - 68
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-264-4_8
DO  - 10.2991/978-94-6463-264-4_8
ID  - Chen2023
ER  -