Yao, J. E., Xu, X., Liu, C., & Lu, J. (2010). Organizational Size: A Significant Predictor of IT Innovation Adoption. Information & Management, 47, 327-333.
https://doi.org/10.1016/j.im.2010.07.001

has been cited by the following article:

• TITLE: Exploring the Applicability of Artificial Intelligence in Recruitment and Selection Processes: A Focus on the Recruitment Phase

  AUTHORS: Anusha Hewage

  KEYWORDS: Artificial Intelligence, Human Resource Management, Technology Adoption Theory, Recruitment and Selection, AI Integration in Recruitment Processes, Artificial Intelligence in Recruitment and Selection

  JOURNAL NAME: Journal of Human Resource and Sustainability Studies, Vol.11 No.3, September 4, 2023

  ABSTRACT: This study explores the use of artificial intelligence (AI) in recruitment and selection (RS) within the context of Human Resource Management (HRM). Contrast to past studies, this study makes a valuable theoretical contribution of a conceptual model to understand the effective use of AI in recruitment & selection processes by investigating the underexplored impact of the recruitment phase and the critical perspective of recruitment professionals. In so doing it builds on and extends technology adoption theory within the information systems by integrating HRM literature. The findings of this qualitative study indicate that AI is suitable for use in specific recruitment phases such as sourcing, pre-screening/pre-selection, and candidate engagement. However, there is a reluctance to use AI in the recruitment pre-planning and interview stages. It contributes valuable insights to inform HRM practitioners and organizations seeking to integrate AI into their recruitment processes.