Use of Artificial Intelligence in HR Recruitment and Selection in Start-up Companies
DOI:
https://doi.org/10.58812/wsshs.v2i06.976Keywords:
Artificial Intelligence, HR Recruitment, Start-up Companies, Bibliometric Analysis, VOSViewerAbstract
This bibliometric study analyzes the evolving landscape of human resource management (HRM), emphasizing the integration of technology into HR practices, particularly in recruitment and selection processes. Utilizing VOSviewer, the research maps the co-occurrence of keywords within a comprehensive dataset, revealing dominant themes, trends over time, and less explored areas. The analysis identifies core thematic clusters such as "human resource management," "recruitment," and "analytics," highlighting the significant focus on optimizing traditional HR functions through technological advancements. The study observes a marked shift in research trends, particularly influenced by the challenges posed by the COVID-19 pandemic, which accelerated the adoption of remote work technologies and digital HR tools. The visualization also identifies underexplored research opportunities in areas like "blockchain" and "internet," suggesting potential for groundbreaking research in enhancing HR operations. Furthermore, the network analysis underscores the importance of author collaboration in expanding the multidisciplinary scope of HRM research. This study contributes to the understanding of HRM's dynamic evolution and outlines strategic directions for future research, ensuring HR practices align with technological advancements and organizational needs.
References
P. Horodyski, “Applicants’ perception of artificial intelligence in the recruitment process,” Comput. Hum. Behav. Reports, vol. 11, p. 100303, 2023.
S. P. S. Rathore, “The Impact of AI on Recruitment and Selection Processes: Analysing the role of AI in automating and enhancing recruitment and selection procedures,” Int. J. Glob. Acad. Sci. Res., vol. 2, no. 2, pp. 51–63, 2023.
M. Savariapitchai, “Decision Strategies for Intelligent Recruitment,” 2023. doi: 10.59646/edbookc7/009.
W. A. Albassam, “The power of artificial intelligence in recruitment: An analytical review of current AI-based recruitment strategies,” Int. J. Prof. Bus. Rev., vol. 8, no. 6, pp. e02089–e02089, 2023.
R. Panwar, “Ai-Enabled Interview Analysis: Unveiling Insights and Enhancing Decision-Making in Human Resource Management,” Interantional J. Sci. Res. Eng. Manag., vol. 07, no. 05, 2023, doi: 10.55041/ijsrem24357.
A. Rukadikar, D. Pandita, and H. Choudhary, “Adoption Of Artificial Intelligence In Talent Acquisition: The Need For The E-Business Environment,” in 2023 8th International Conference on Business and Industrial Research (ICBIR), IEEE, 2023, pp. 228–232.
R. Meshram, “The role of artificial intelligence (ai) in recruitment and selection of employees in the organisation,” Russ. Law J., vol. 11, no. 9S, pp. 322–333, 2023.
S.-C. Son and J.-Y. Oh, “A Study on the Performances of AI Recruitment System: A Case Study on Domestic and Abroad Companies,” Korean Career, Entrep. & Bus. Assoc., 2023.
A. Gusain, T. Singh, S. Pandey, V. Pachourui, R. Singh, and A. Kumar, “E-Recruitment using Artificial Intelligence as Preventive Measures,” in 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), IEEE, 2023, pp. 516–522.
S. E. Zehra, A. Shakil, M. Fatima, M. A. Munawwar, and N. Khalil, “Outlook 360| A Practical Approach of Recruiting Talent Through Artificial Intelligence.,” in 2022 3rd International Conference on Innovations in Computer Science & Software Engineering (ICONICS), IEEE, 2022, pp. 1–7.
R. Amuthan and D. Arumugam, “Effectiveness of Artificial Intelligence Based Recruitment process in the Employment of Indian Hardware Industry,” in 2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), IEEE, 2022, pp. 970–973.
Z. Chen, “Collaboration among recruiters and artificial intelligence: removing human prejudices in employment,” Cogn. Technol. Work, vol. 25, no. 1, pp. 135–149, 2023.
P. Mozelius, A. Jama, and A. Castberg, “Would you Like to Have Your Social Skills Assessed by a Softbot? AI-Supported Recruitment Processes,” in European Conference on the Impact of Artificial Intelligence and Robotics, 2022, pp. 64–71.
K. D. Strang and Z. Sun, “ERP Staff versus AI recruitment with employment real-time big data,” Discov. Artif. Intell., vol. 2, no. 1, p. 21, 2022.
R. Kapoor, S. P. Walters, and L. A. Al-Aswad, “The current state of artificial intelligence in ophthalmology,” Surv. Ophthalmol., vol. 64, no. 2, pp. 233–240, 2019.
Z.-H. Liu et al., “Prevalence and risk factors for vascular calcification in Chinese patients receiving dialysis: baseline results from a prospective cohort study,” Curr. Med. Res. Opin., vol. 34, no. 8, pp. 1491–1500, 2018.
M. K. Lee et al., “WeBuildAI: Participatory framework for algorithmic governance,” Proc. ACM human-computer Interact., vol. 3, no. CSCW, pp. 1–35, 2019.
B. Eubanks, Artificial intelligence for HR: Use AI to support and develop a successful workforce. Kogan Page Publishers, 2022.
A. Tlili et al., “Speaking of transparency: Are all Artificial Intelligence (AI) literature reviews in education transparent?,” J. Appl. Learn. Teach., vol. 6, no. 2, 2023.
A.-R. Habib et al., “An artificial intelligence computer-vision algorithm to triage otoscopic images from Australian Aboriginal and Torres Strait Islander children,” Otol. Neurotol., vol. 43, no. 4, pp. 481–488, 2022.
A. Chen, Y. Lin, M. Mariani, Y. Shou, and Y. Zhang, “Entrepreneurial growth in digital business ecosystems: An integrated framework blending the knowledge-based view of the firm and business ecosystems,” J. Technol. Transf., vol. 48, no. 5, pp. 1628–1653, 2023.
M. Ahmadi, M. Pahlavani, A. Karimi, M. Moradi, and J. Lawrence, “The impact of the fourth industrial revolution on the transitory stage of the automotive industry,” in Sustainable Manufacturing in Industry 4.0: Pathways and Practices, Springer, 2023, pp. 79–96.
M. Armstrong and S. Taylor, Armstrong’s handbook of human resource management practice. Kogan Page Publishers, 2020.
J. Pfeffer, “Competitive advantage through people,” Boston/Mass, 1994.
K. S. R. Warner and M. Wäger, “Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal,” Long Range Plann., vol. 52, no. 3, pp. 326–349, 2019.
Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int. J. Inf. Manage., vol. 57, p. 101994, 2021.
K. Crawford, The atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press, 2021.
P. Brown, A. Hesketh, and S. Williams, The mismanagement of talent: Employability and jobs in the knowledge economy. Oxford University Press, USA, 2004.
E. J. Douglas and D. A. Shepherd, “Self-employment as a career choice: Attitudes, entrepreneurial intentions, and utility maximization,” Entrep. theory Pract., vol. 26, no. 3, pp. 81–90, 2002.
M. Armstrong and H. Murlis, Reward management: A handbook of remuneration strategy and practice. Kogan Page Publishers, 2007.
D. Senor and S. Singer, Start-up nation: The story of Israel’s economic miracle. McClelland & Stewart, 2011.
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