Technology has become part of every activity performed by an organization. Usage of technology has further increased after COVID-19. This research has been conducted in the Sultanate of Oman, a country moving into technology-driven format in all areas through its Vision 2040. This study aims to fill the gap in adoption of AI in the recruitment process by adopting Value Adoption Model (VAM). Independent variables, such as cost efficiency, relative advantage, and usefulness, provide perceived benefits, while variables, such as security and privacy concerns, innovation resistance, and lack of trust, contribute to perceived sacrifice. The perceived benefits and perceived sacrifice provide perceived value. The moderating factor of HR preparedness has been used to find relationship with the dependent variable AI adoption in recruitment process. Data was collected through structured questionnaire sharing it via Google forms from 57 HR professionals and executives in various industries. The data analysis shows that out of eight hypotheses, seven were accepted and one was rejected. The results show that cost-efficiency is the most contributing factor to perceived value and security and privacy concerns also contribute to perceived value through perceived sacrifices. It is understood that organizations in Oman are considering to integrate AI in the recruitment process if they get trustworthy vendors. Further studies can be conducting comparing countries in the Gulf Cooperation Council (GCC), and other organizational factors can be added as mediation variable along with HR preparedness.

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Adoption of AI in the Recruitment Process: Analyzing the Perspectives from Oman Through the Lens of the Value-Adoption Model (VAM)

  • Abdullah Khalfan Al Azri,
  • Nithya Ramachandran

摘要

Technology has become part of every activity performed by an organization. Usage of technology has further increased after COVID-19. This research has been conducted in the Sultanate of Oman, a country moving into technology-driven format in all areas through its Vision 2040. This study aims to fill the gap in adoption of AI in the recruitment process by adopting Value Adoption Model (VAM). Independent variables, such as cost efficiency, relative advantage, and usefulness, provide perceived benefits, while variables, such as security and privacy concerns, innovation resistance, and lack of trust, contribute to perceived sacrifice. The perceived benefits and perceived sacrifice provide perceived value. The moderating factor of HR preparedness has been used to find relationship with the dependent variable AI adoption in recruitment process. Data was collected through structured questionnaire sharing it via Google forms from 57 HR professionals and executives in various industries. The data analysis shows that out of eight hypotheses, seven were accepted and one was rejected. The results show that cost-efficiency is the most contributing factor to perceived value and security and privacy concerns also contribute to perceived value through perceived sacrifices. It is understood that organizations in Oman are considering to integrate AI in the recruitment process if they get trustworthy vendors. Further studies can be conducting comparing countries in the Gulf Cooperation Council (GCC), and other organizational factors can be added as mediation variable along with HR preparedness.