A critical assessment of employer branding to retain knowledgeable workforce: study on current employees of the information technology firms

Abstract

Purpose

This study aims to explore and validate the antecedents of employer branding (EB) and assess their impact on EB measures taken by Indian information technology firms while promoting themselves as an employer of choice.

Design/methodology/approach

Through the method of content analysis of the EB literature published between 2010 and 2020, a total of 77 research articles that were published in various eminent sources, including papers 11 papers from Elsevier, 28 from Emerald, 12 from Taylor and Francis, 8 each from Wiley and Sage and finally 10 from Springer, were chosen for the final analysis. The results were confirmed through confirmatory factor analysis using structural equation modelling.

Findings

The analysis revealed the significant themes of the content: the primary antecedents of the EB, i.e. compensation and benefits, career opportunities, work–life balance, work environment and corporate social responsibility. The findings proposed that the employees working in the IT firms are more concerned about the compensation package, work–life balance and work environment. The study also suggested that employees love to work for organizations that benefit society and the environment.

Originality/value

The study emphasized the identification of the antecedents which are vital in impacting the organization’s EB strategy. The study suggested that corporate social responsibility, compensation and benefits and work–life balance are a few of the important antecedents that play a crucial role in engaging and retaining the existing talented employees in IT firms. Through the EB strategy, the firms can differentiate themselves from their competitors.

Citation

Chopra, A., Patel, G. and Sahoo, C.K. (2022), "A critical assessment of employer branding to retain knowledgeable workforce: study on current employees of the information technology firms", VINE Journal of Information and Knowledge Management Systems, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/VJIKMS-02-2022-0036