The Impact of Online Platforms on the Hiring Process: Job Applicant’s Perspective from North India

Abstract

Purpose: Hiring appropriate candidates is one of the primary responsibilities of human resource managers. With the swift evolution of technology, job seekers are increasingly turning to online platforms rather than conventional methods. This study investigates the influence of these platforms on the recruitment process from the viewpoint of job applicants in North India.

Methods: An empirical research design was utilized to assess the effectiveness of online platforms in attracting job seekers. Primary data were gathered from 100 participants, specifically students and job seekers from colleges, universities, and coaching institutes in North India. A structured questionnaire was employed, and statistical methods were used to analyze the correlation between online hiring practices and applicants’ job search behaviors.

Findings: The findings indicate that online platforms have a positive effect on the recruitment process by making job searches more convenient, transparent, and effective. Respondents indicated that technology-driven recruitment methods enhance access to job opportunities, decrease the time spent searching, and improve the overall experience. The results confirm a positive correlation between online hiring practices and job seekers’ perceptions of usefulness and satisfaction.

Implications: The study suggests that organizations seeking to attract young and dynamic talent should implement web-based recruitment strategies. By utilizing digital platforms, companies can gain a competitive edge in the labor market while also providing a more engaging experience for job applicants.

Originality: This research contributes valuable insights by offering empirical evidence on how job seekers in North India perceive online recruitment methods, thereby enriching the limited literature on web-based hiring processes within the regional context.

  • Page Number : 48-53

  • Published Date : 2025-08-30

  • Keywords
    Online platforms, Recruitment, Job seekers, Perceptions

  • DOI Number
    10.15415/jtmge/2025.161004

  • Authors
    Shweta Sandhu, Rashmi Aggarwal, and Malgorzata Zmigrodzka

References

  • Ebia, M., Heinze, A., & Fletcher, G. (2024). 16 Curating on-the-go experience. Digital and Social Media Marketing: A Results-Driven Approach, 309.
  • Kapse, A. S., Patil, V. S., & Patil, N. J. (2012). E-recruitment. International Journal of Engineering and Advanced Technology (IJEAT), 1(4), 82–86.
  • Lin, R. (2024). Unveiling the complexities of student satisfaction in e-learning: An integrated framework for the context of COVID-19.
  • Mariotti, I., & Sasso, S. (2024). Revitalizing rural areas through innovation and entrepreneurship: Public and private initiatives to train, attract and retain human capital. EUR, (JRC138968), 1–42.
  • Mallik, D. A. (2024). Transforming recruitment in the post-COVID era: The role of social media and digital solutions. MTC GLOBAL JOURNAL OF MANAGEMENT AND ENTREPRENEURSHIP, 1.
  • Melanthiou, Y., Pavlou, F., & Constantinou, E. (2015). The use of social network sites as an e-recruitment tool. Journal of Transnational Management, 20(1), 31–49. https://doi.org/10.1080/15475778.2015.998141
  • Nikolaou, I. (2014). Social networking web sites in job search and employee recruitment. International Journal of Selection and Assessment, 22(2), 179–189.
  • Singh, R., & Sharma, P. (2022). Digital recruitment strategies in India: A hybrid approach. Indian Journal of Human Resource Management, 8(3), 112–124.
  • Tuttle, L., & Critchlow, K. (2025). Digital transformation in talent acquisition: Modern approaches to recruitment and selection. International Journal of Research in Human Resource Management, 7(1), 351–357.
  • Tyagi, A. (2012). Effective talent acquisition through erecruitment: A study. Zenith International Journal of Multidisciplinary Research, 2(3), 302–312.
  • Upadhyay, A. K., & Khandelwal, K. (2018). Applying artificial intelligence: Implications for recruitment. Strategic HR Review, 17(5), 255–258.
  • Wang, H., Zhang, L., & Liu, Y. (2020). Revisiting the technology acceptance model in online recruitment: A cross-national study. Information Systems Frontiers, 22(3), 567–580.
  • Zhang, P. (2024). Application of artificial intelligence (AI) in recruitment and selection: The case of Company A and Company B. Journal of Business and Management Studies, 6(3), 224–225.