Effective E-Recruitment Strategies and Sustainable Competitive Advantage
A Role of Artificial Intelligence
Abstract
Abstract Views: 35
The study seeks to analyze the role of Artificial Intelligence in the E-recruitment platforms and associated with Sustainable Competitive Advantage for the organisations in Pakistan. The moderating effect of Artificial Intelligence on the relationship between, Job Portals, Corporate websites, Social Networking Sites, and Recruitment Agencies with SCA was researched on the recruitment platforms. A Smart PLS was used to interpret the results from the survey questionnaire based on 400 HR professionals' opinions collected from the Pharmaceutical and FMCG industries. The results reveal that the HR professionals in Pakistan are not considering AI as a moderating variable in the E-recruitment process. Still, they view AI as an independent variable and it has a positive effect on SCA. The HR professionals who judge SCA contribution by the E-recruitment platforms considered Corporate Websites and Social Networking Sites to be the most valuable. The research outcome showed that Corporate Websites and Social Networking Sites are considered effective by HR professionals in Pakistan and other platforms are not very helpful. This means that there is a requirement for credible and supporting Job Portals as well as recruitment agencies that HR managers can trust.
Keywords:
E-Recruitment, Fast-moving Consumer Goods, Role of Artificial Intelligence, Sustainable Competitive AdvantageReferences
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control: From cognition to behavior (pp. 11-39). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-69746-3_2
Al-Busaidi, Z. A. H., Alias, R. B., & Alam, M. N. (2021). The influence of human resource management practices on employee performance at private companies in Oman: Moderating role of organizational politics. Rigeo, 11(12).
Alfawaire, F., & Atan, T. (2021). The effect of strategic human resource and knowledge management on sustainable competitive advantages at Jordanian universities: The mediating role of organizational innovation. Sustainability, 13(15), 8445. https://doi.org/10.3390/su13158445
Armstrong, M., & Taylor, S. (2023). Armstrong's handbook of human resource management practice: A guide to the theory and practice of people management. Kogan Page Publishers.
Arshad, M., Abbas, K., & Gul, M. (2023). Examining the influence of E-HRM practices on conventional banks' performance: A focus on e-recruitment, e-training, and E-HR evaluation. Contemporary Issues in Social Sciences and Management Practices, 2(2).
Banmairuroy, W., Kritjaroen, T., & Homsombat, W. (2022). The effect of knowledge-oriented leadership and human resource development on sustainable competitive advantage through organizational innovation's component factors: Evidence from Thailand’s new S-curve industries. Asia Pacific Management Review, 27(3), 200-209. https://doi.org/10.1016/j.apmrv.2021.09.001
Battour, M., Barahma, M., & Al-Awlaqi, M. (2021). The relationship between HRM strategies and sustainable competitive advantage: testing the mediating role of strategic agility. Sustainability, 13(9), 5315. https://doi.org/10.3390/su13095315
Blanka, C., Krumay, B., & Rueckel, D. (2022). The interplay of digital transformation and employee competency: A design science approach. Technological Forecasting and Social Change, 178, 121575. https://doi.org/10.1016/j.techfore.2022.121575
Bondarouk, T., Parry, E., & Furtmueller, E. (2017). Electronic HRM: four decades of research on adoption and consequences. The International Journal of Human Resource Management, 28(1), 98-131. https://doi.org/10.1080/09585192.2016.1245672
Cavaliere, L. P. L., Nath, K., Wisetsri, W., Villalba-Condori, K. O., Arias-Chavez, D., Setiawan, R., ... & Romolo, V. (2021). The impact of E-recruitment and artificial intelligence (AI) tools on HR effectiveness: the case of high schools. Productivity Management, 26(1), 322-343.
Chapman, D. S., & Webster, J. (2003). The use of technologies in the recruiting, screening, and selection processes for job candidates. International Journal of Selection and Assessment, 11(2‐3), 113-120. https://doi.org/10.1111/1468-2389.00234
Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2024). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia pacific journal of management, 41(2), 745-783. https://doi.org/10.1007/s10490-023-09871-y
Dixit, S., Singh, S., Dhir, S., & Dhir, S. (2021). Antecedents of strategic thinking and its impact on competitive advantage. Journal of Indian Business Research, 13(4), 437-458. https://doi.org/10.1108/JIBR-08-2020-0262
Fabrizio, C. M., Kaczam, F., de Moura, G. L., da Silva, L. S. C. V., da Silva, W. V., & da Veiga, C. P. (2022). Competitive advantage and dynamic capability in small and medium-sized enterprises: a systematic literature review and future research directions. Review of Managerial Science, 16(3), 617-648. https://doi.org/10.1007/s11846-021-00459-8
Gilch, P. M., & Sieweke, J. (2021). Recruiting digital talent: The strategic role of recruitment in organisations’ digital transformation. German Journal of Human Resource Management, 35(1), 53-82. https://doi.org/10.1177/2397002220952734
Holm, A. B. (2012). E-recruitment: Towards an ubiquitous recruitment process and candidate relationship management. German Journal of Human Resource Management, 26(3), 241-259. https://doi.org/10.1177/239700221202600303
Kucherov, D., & Tsybova, V. (2022). The contribution of e-recruitment practices to e-recruitment outcomes in Russian companies. Measuring Business Excellence, 26(3), 366-377. https://doi.org/10.1108/MBE-02-2021-0017
Kumar, B. S. P., & Nagrani, K. O. M. A. L. (2020). Artificial intelligence in human resource management. Novateur Publication's JournalNX-A Multidisciplinary Peer Reviewed Journal, 106-118.
Lee, S. H. (2021). An attention-based view of strategic human resource management. Academy of Management Perspectives, 35(2), 237-247. https://doi.org/10.5465/amp.2020.0099
Magno, F., Cassia, F., & Ringle, C. M. (2024). A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies. The TQM Journal, 36(5), 1242-1251. https://doi.org/10.1108/TQM-06-2022-0197
Nicolás-Agustín, Á., Jiménez-Jiménez, D., & Maeso-Fernandez, F. (2022). The role of human resource practices in the implementation of digital transformation. International Journal of Manpower, 43(2), 395-410. https://doi.org/10.1108/IJM-03-2021-0176
Parry, E., & Tyson, S. (2008). An analysis of the use and success of online recruitment methods in the UK. Human Resource Management Journal, 18(3), 257-274. https://doi.org/10.1111/j.1748-8583.2008.00070.x
Purwanto, A., Purba, J. T., Bernarto, I., & Sijabat, R. (2023). Investigating the role digital transformation and human resource management on the performance of the universities. International Journal of Data and Network Science, 7.
Shamsiya, A. (2023). HR management and coaching in the innovative economy as a method of business management. Modern Science and Research, 2(10), 712-717.
Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial intelligence in human resources management: Challenges and a path forward. California Management Review, 61(4), 15-42.
Tschang, F. T., & Almirall, E. (2021). Artificial intelligence as augmenting automation: Implications for employment. Academy of Management Perspectives, 35(4), 642-659. https://doi.org/10.5465/amp.2019.0062
Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: implications for recruitment. Strategic HR Review, 17(5), 255-258. https://doi.org/10.1108/SHR-07-2018-0051
Valecha, N. (2022). A study on importance of ethical responsibilities in HR management. International Journal for Global Academic & Scientific Research, 1(1), 13-22. https://doi.org/10.55938/ijgasr.v1i1.7
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Bulletin of Multidisciplinary Studies

This work is licensed under a Creative Commons Attribution 4.0 International License.

