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Exploring Job Seekers Experience with AI Interview in Campus Recruitment

Dan Li

Abstract


AI technology has been applied to human resource selection and interviewing, especially in campus recruitment in industries with
greater employment demand, such as consumer goods manufacturing, sales and finance. Currently, research has been carried out on the experience of individual AI services, but there is insufficient study of the experiences of candidates who have actually participated in AI interviewing on campus. Using the rooted theory of the research path, interviewed 9 candidates involved in AI interviews in the course of campus, the
result found that the candidates are not satisfied with the experience, the respondents have a poor overall sense of experience, and a lower
willingness to continue to participate in an AI interview. Based on the above, the study proposes AI experience perception model for candidates recruited on campus. By understanding job seeker experiences, we can improve the effectiveness and fairness of AI interviews in campus recruitment.

Keywords


AI interview; AI interview experience; Rooted theory

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References


[1] Malik, A., Srikanth, N. R., & Budhwar, P. (2020).Digitisation, artificial intelligence (AI) and HRM.Human resource

management:Strategic and international perspectives, 88, 103.

[2] Budhwar, P., Malik, A., De Silva, M.T., & Thevisuthan, P. (2022).Artificial intelligencechallenges and opportunities for international

HRM: a review and research agenda.The InTernaTIonal Journal of human resource management, 33(6), 1065-1097.

[3] Hossin, M. S., Ulfy, M.A., & Karim, M. W. (2021).Challenges in adopting artificial intelligence (AI) in HRM practices:A study on

Bangladesh perspective.International Fellowship Journal of Interdisciplinary ResearchVolume, 1.

[4] Mukherjee, I., & Krishnan, L. R. K. (2022). Impact of AI on aiding employee recruitment and selection process.Journal of the International Academy for Case Studies, 28.

[5] Balcio?lu, Y. S., & Artar, M.(2024).Artificial intelligence in employee recruitment.Global Business and Organizational Excellence.

[6] Al-Alawi, A. I., Naureen, M., AlAlawi, E. I., & Al-Hadad, A. A. N. (2021, December). The role of artificial intelligence in recruitment

process decision-making. In 2021 International Conference on Decision Aid Sciences and Application (DASA)(pp. 197-203).IEEE.

[7] Maranguni?, N., & Grani?, A. (2015).Technology acceptance model: a literature review from 1986 to 2013.Universal access in the information society, 14, 81-95.

[8] Firdausa Nuzula, I., & Miftahul Amri, M. (2023).Will ChatGPT bring a New Paradigm to HR World?A Critical Opinion Article. Journal

of Management Studies and Development, 2(02), 142161.

[9] Elia, M. L., & Rodrguez, M. L. (2019).Big data in human resource management: A systematic literature review.International Journal of

Human Resource Management, 30(15), 2157-2181.

[10] N. Blacksmith, J.C. Willford, T.S.Behrend, Technology in the employment interview:A meta-analysis and future research agenda Personnel Assessment and Decisions, 2 (1) (2016), pp.12-20.

[11] J.S. Wesche, A. Sonderegger, When computers take the lead:The automation of leadership Computers in Human Behavior, 101 (2019),

pp.197-209.

[12] M. Langer, C.J. Knig, M. Papathanasiou, Highly automated job interviews: Acceptance under the influence of stakes International

Journal of Selection and Assessment, 27 (3) (2019), pp.217-234.

[13] Y. Acikgoz, K.H. Davison, M.Compagnone, M. Laske Justice perceptions of artificial intelligence in selection International Journal of

Selection and Assessment, 28 (4) (2020), pp.399-416.


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