Ramkumar, A. and Rajini, G. (2019) Effective Recruitment and Selection System for the IT Software Industry in India. Indian Journal of Public Health Research & Development, 10 (1). p. 74. ISSN 0976-0245
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Abstract
The Information Technology (IT) Software Industry in India has attracted worldwide attention recording phenomenal rates of growth, achieving the status of an economy driver for a country, emerging as a superpower of the Twenty First Century. It is equally vital that this trend continues in the midst of global challenges and competition. While the system in vogue has been meeting the current challenges, little research has been done to determine the effectiveness of recruitment and selection system for the IT Software Industry in India. The purpose of this research was to determine an effective recruitment and selection system and assist the IT Software Industry in India in meeting the challenges of the future. The data was collected from the IT Software Companies in India, with a structured questionnaire, using online survey. Of the approximately 105 IT Software Companies that were addressed in the final questionnaire, 78 responded and only 50 of these responses were found to be complete. Multivariate analysis, linear regression, Independent Samples Kruskal-Wallis Test and Independent Samples Mann-Whitney Test were used to evaluate, how well the objective was met. Such people also have lesser mobility and rely on sales commissions for career growth. The data pertaining to hypotheses that most factors companies evaluate are not relevant to output variables, taking into account the company turnover revealed a mixed result of two output variables retaining the hypotheses (net profit margin, and average profit per employee) and two variables rejecting the hypotheses. These results are significant and would help identify the model, IT Software Companies require, to make the recruitment and selection system effective.
Item Type: | Article |
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Subjects: | Business Administration > Human Resources |
Divisions: | Business Administration |
Depositing User: | Mr IR Admin |
Date Deposited: | 06 Oct 2024 06:01 |
Last Modified: | 06 Oct 2024 06:01 |
URI: | https://ir.vistas.ac.in/id/eprint/8769 |