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Article
Publication date: 19 February 2020

Neerja Kashive, Vandana Tandon Khanna and Manish Naresh Bharthi

The purpose of this paper is to explore the role of social media in creating an attractive employer brand for any organization. It investigates one of the social media Glassdoor…

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Abstract

Purpose

The purpose of this paper is to explore the role of social media in creating an attractive employer brand for any organization. It investigates one of the social media Glassdoor, which is an online employer branding platform, where employees put their reviews which are both positive and negative. Analysis of these reviews can generate a lot of insights into employer branding.

Design/methodology/approach

The data was collected as 1,243 reviews from Glassdoor, an online crowdsourced employer branding platform for 40 top-rated employers across four different sectors, namely, Pharma, IT, retail and FMCG. Text and sentimental analyses were done using SAS visual analytical for these reviews.

Findings

Ten themes were generated from the text analytics which is nothing but the employer value propositions (EVPs), and they were social, interest, development and economic value as given by Berthon et al. (2005) and also others, such as work–life, management and brand value emerged. Social value came as a significant EVP followed by interest value and work–life values.

Research limitations/implications

This research is providing only ways to show that crowdsourced data can also be used to understand the mindset of employees regarding an employer’s image but is not providing any idea regarding how to generate the right employee value proposition.

Originality/value

The research has shown that employers can use crowdsourced employer branding insights to see where they stand in the employer's attractiveness spectrum. They can use innovative data analytics techniques, such as visualization for text and sentimental analysis to create employer branding intelligence strategies.

Details

Journal of Indian Business Research, vol. 12 no. 1
Type: Research Article
ISSN: 1755-4195

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