Global Journal of Management and Business Research, A: Administration and Management, Volume 23 Issue 2

16. Nawaz, N. (2020). Artificial intelligence applications for face recognition in the recruitment process. Journal of Management Information and Decision Sciences, 23 (S1), 507–517.https://papers. ssrn. com/sol3/papers.cfm?abstract_id=3883916 17. Rezzani, A. (2021, July 11–13). Recruitment and selection HR process through artificial intelligence: An analysis of the aspects of acceptance, validity, and interaction with the human decision-maker [Paper]. Joint Proceedings of Interactive Experiences and Doctoral Consortium, Bolzano, Italy .https://ceur-ws.org/Vol-2892/paper-8.pdf 18. Rojewska, K. (2022, October 11). 5 key reasons you should use AI-based solutions in your HR department. D-Labs . https://dlabs.ai/blog/5-key- reasons-why-you-should-use-ai-based-solutions-in- your-hr-department/ 19. Son, M., Lee, H., & Chang, H. (2019). Artificial intelligence-based business communication: Application for recruitment and selection. Business Communication Research and Practice, 2 (2), 84–92. https://doi.org/10.22682/bcrp.2019.2.2.84 20. TalentLyft. (2022). Simple and affordable software for SMBs .https://www.talentlyft.com/en 21. Vedapradha, R., Hariharan, R., & Shivakami, R. (2019). Artificial intelligence: A technological Research Gaps in HR Applications of AI in Recruitment prototype in recruitment. Journal of Service Science and Management, 12 (3), 382–390. https://doi.org /10.4236/jssm.2019.123026 22. Veluchamy, D. R., Chattaraj, S., & Gupta, S. K. (2021). Artificial intelligence within recruitment: Eliminating biases in human resource management. Journal of Critical Reviews, 8 (3). http://www. jcreview.com/admin/Uploads/Files/61cdb5f3504913 .36848659.pdf 23. Wan Ibrahim, W. M. R., & Hassan, R. (2019). Recruitment trends in the era of industry 4.0 using artificial intelligence: Pros and Cons. Asian Journal of Research in Business and Management, 1 (1). https://myjms.mohe.gov.my/index.php/ajrbm/article/ view/6604 Quantitative Questions 1. Do you work in a private recruitment agency or in an HR role in an organization? 2. Does your organization have an in-house recruitment team, or do you outsource it? 3. In which sector does your organization operate? 4. Does the company build products, provide services (or both) as the main part of its business? 5. Do you use in-house software or the vendor- provided software for HRM? 6. Is the hiring process software in your organization AI-based? 7. What stages of the hiring process are covered by AI-based software? 8. What AI-based software applications are available in the recruitment market? Why and who chose that software? 9. Does AI-based software interest you in hiring now or in the future? 10. How many days a week do you spend sourcing, screening, and selecting candidates? 11. How much time (please provide in hours or days) has been saved using AI-based software for sourcing, screening, and selecting over the last week? 12. What cost savings can AI-based recruitment bring to the company? 13. What was the revenue per employee (this is public information for a public company) before using AI, and what is it after using AI? 14. What is the percentage of AI-based hires versus human judgment-based hires? 15. Indicate what percentage of HRM functions are getting easier with AI-based tools. 16. Indicate how many HRM function jobs will be lost due to AI-based software. 17. Indicate how beneficial (extremely, moderate, not at all) AI-based software is for recruitment and selection. 18. Indicate how risky (extremely, moderate, not at all) it is to use AI-based software for recruitment and selection. 19. Indicate the level of trust (very, somewhat, not at all) of HR teams using AI-based software for recruitment. 20. Indicate the readiness (fully ready, not fully ready, not at all ready) of the current state of AI technology for recruitment. 21. Indicate the challenges (huge, moderate, small, none) to be solved in AI-based software for recruitment. 58 Global Journal of Management and Business Research Volume XXIII Issue II Version I Year 2023 ( ) A © 2023 Global Journals 15. Mujtaba, D. F. (2020). Fairness in AI-based recruitment and career pathway optimization [Unpublished master’s thesis]. Michigan State University. https://d.lib.msu.edu/etd/48478 /datastream/OBJ/view Journal of Physics: Conference Series, 1827 (1), Article 012150. https://doi.org/10.1088/1742-659 6/1827/1/012150 A ppendix: R esearch Q uestionnaire The following questionnaire consists of qualitative and quantitative questions as part of the research data collection to extract information on all aspects of AI in HRM functions.