International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

A Comparative Study on Gaps and Challenges in the Recruitment and Selection Process at a Fast-Growing Health-Tech Startup

Author(s) Dr. Sundarapandiyan Natarajan, Dr. Visagamoorthi D, Prof. Dr. Vikkraman P, Dr. Selvakumar B
Country India
Abstract The rapid expansion of technology-driven health-tech startups in India has intensified competition for skilled professionals, transforming talent acquisition into an agile, core strategic function where human resource frameworks must balance high-volume hiring demands with rigorous, quality-driven selection filters. This empirical study, grounded in Person-Job Fit Theory and Human Capital Theory, examines the structural gaps, operational bottlenecks, and administrative challenges embedded within the talent acquisition architecture at PRI health care organisation. Specifically, the research aims to evaluate and compare recruitment challenges across different hiring categories (corporate roles, specialized medical hiring, and language-based roles) to determine if structural gaps are role-specific or organization-wide, while also identifying core operational bottlenecks within the recruitment funnel, focusing on recruiter-hiring manager coordination and candidate drop-out rates. Adopting a descriptive and analytical research design, primary data was gathered via a structured electronic questionnaire utilizing a 5-point Likert scale from a sample of 133 human resource professionals, talent acquisition executives, and senior recruiters working directly within the organization's decentralized hiring units. Robust statistical analysis was subsequently executed using percentage analysis, a Chi-Square (chi^2) test of independence, Pearson correlation coefficient (r), and weighted mean analysis to rank operational factors. Demographic profiling indicates a highly qualified, young human resource workforce, with 65.00% of respondents holding postgraduate credentials and 80.00% under the age of 35. Crucially, the inferential Chi-Square test of independence reveals no statistically significant relationship between the specific category of hiring handled and the perceived recruitment challenges (chi^2 = 8.645, df = 12, p = 0.7329), which demonstrates that operational difficulties are systemic issues across the entire human resource architecture rather than challenges limited to individual functional roles. Furthermore, weighted mean analysis identifies internal coordination between recruiters and core hiring managers as the most acute operational bottleneck (mu = 1.80), driven by prolonged feedback loops, whereas recruiter training and technology adoption (ATS) were ranked as high-impact components (mu = 4.30 and mu = 3.20, respectively) showing a positive linear correlation (r = 0.213). The study concludes that talent acquisition bottlenecks in high-growth startups are structural and organizational rather than category-specific. To minimize time-to-hire and lower candidate drop-out rates, the study suggests implementing standardized Service Level Agreements (SLAs) with strict 24-to-48-hour feedback loops between recruiting teams and hiring managers, optimizing Applicant Tracking Systems (ATS) through automated interview scheduling, delivering target-based recruiter training, and strengthening early-stage employer branding to mitigate offer rejection rates, ultimately transitioning from reactive hiring to an agile, data-driven selection model that builds a sustainable human capital foundation to support long-term startup growth.
Keywords Recruitment and Selection, Health-Tech Startups, Talent Acquisition Gaps, Chi-Square Analysis, Person-Job Fit
Field Business Administration
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-13
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.81416

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