Adopting Artificial Intelligence in recruitment : Opportunities and challenges in modern HR practices
Zouhari, Nasma (2025)
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025121235299
https://urn.fi/URN:NBN:fi:amk-2025121235299
Tiivistelmä
This bachelor's thesis aims to study and examine the application and challenges of adopting AI in the recruitment process and investigate its role in modern HR practices. Despite the growing interest and results in AI efficiency through different industries, human resources professionals are still facing different complications and misunderstandings of the correct implementation of AI tools that will help increase the organization’s performance. On the other hand, the new adoption of such highly developed technology creates several obstacles for employees and remains a challenging experience for them and HR professionals who are responsible for directing employee practices.
This study focuses on showcasing different perspectives of several researchers who use the Technology Acceptance Model (TAM) to study individual-level acceptance of AI, along with the Resource-Based View (RBV) to demonstrate organizational-level resource management, in order to compare and analyze the connection that aligns AI with human practices. Moreover, the study's findings reveal connected perspectives from the literature and interviews conducted with the commissioning company “DIGIMPERIAL”, which both address the awareness of AI adoption, its effectiveness and benefits, as well as the limitations and challenges faced when using it in the work environment.
Finally, due to the limited amount of research on the adoption of AI in recruitment specifically, this thesis provides a brief discussion of the suggested improvements that current and future organizations could consider when implementing AI in HR practices, which will help them reduce risk and maintain a sustainable work environment where technology and human integration could create a massive positive change in the HR industry.
This study focuses on showcasing different perspectives of several researchers who use the Technology Acceptance Model (TAM) to study individual-level acceptance of AI, along with the Resource-Based View (RBV) to demonstrate organizational-level resource management, in order to compare and analyze the connection that aligns AI with human practices. Moreover, the study's findings reveal connected perspectives from the literature and interviews conducted with the commissioning company “DIGIMPERIAL”, which both address the awareness of AI adoption, its effectiveness and benefits, as well as the limitations and challenges faced when using it in the work environment.
Finally, due to the limited amount of research on the adoption of AI in recruitment specifically, this thesis provides a brief discussion of the suggested improvements that current and future organizations could consider when implementing AI in HR practices, which will help them reduce risk and maintain a sustainable work environment where technology and human integration could create a massive positive change in the HR industry.