Development and Validation of Artificial Intelligence-Based Recruitment Acceptance Model: An Empirical Investigation Among Candidates

Date

2023-12

Author

Aydemir, Büşra

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The utilization of artificial intelligence (AI) technologies in various areas rising exponentially year by year and is expected to continue its growth in the future. Human resources (HR) function is one of the areas that is still at the beginning of AI utilization. Since the recruitment phase is one of the important functions of HR with the duty of determining the most valuable source for a company, employees; benefits attained by using AI technologies will be critical for this phase. For companies to invest in such technologies, on the other hand, they should understand what are the factors influencing the job candidates' adoption of the recruitment process equipped by AI technologies. This study aims to empirically investigate the job candidates' AI-based recruitment acceptance by developing a model presenting the factors affecting their behavioral intention to participate in AI-based recruitment. For this purpose, to form a pool of factors the literature on AI-acceptance in recruitment is systematically reviewed, and additional research is made on other related topics. For model development, UTAUT2 including the passive use decision is used as the base model. To form a compact model and achieve content validity, a HR expert panel analysis is conducted. Data is collected from 324 Turkish participants via an online questionnaire to test the model of AI-based recruitment acceptance among candidates in Turkey. Data is analyzed by implementing the partial least squares path modeling of the structural equation model; the influential factors and inter-factor relationships are identified, and the final model is formed.

Subject Keywords

Acceptance, Technology Acceptance, UTAUT2, AI-Based Recruitment, Acceptance of AI

URI

https://hdl.handle.net/11511/107718

Collections

Graduate School of Informatics, Thesis