Employer Branding through Social Media: Decoding the Symbolic Attributes of an Ideal Employer

Authors

  • Rashmi Chauhan Assistant Professor, New Delhi Institute of Management, Delhi, India
  • Rachna Kathuria Professor, New Delhi Institute of Management

Keywords:

strong, good, symbolic, segmentation, visual storytelling, employee.

Abstract

This research report examines the impact of social media on employer branding, particularly in the context of attracting and engaging the next generation of professionals. Traditional employer branding strategies have evolved to embrace the dynamic nature of social media and incorporate elements of marketing, psychology and social science to create authentic and resonant content. This study explores the nature of symbolic factors such as credibility and the embeddedness of organizational perceptions among emerging scholars. It also examines the role of social media in promoting a sense of community and belonging and supporting people in making career decisions. We discuss key issues influencing HR practices in social media employer branding, including audience segmentation, visual storytelling, employee engagement, and online reputation management. The report highlights the importance of aligning employer branding programs with the values and aspirations of the future workforce to remain competitive in talent acquisition. By strategically integrating social media into the hiring process and adhering to ethical standards, organizations can create compelling messages that resonate with emerging professionals and create an employer brand. strong, good in the digital world.

Downloads

Published

2024-05-25

How to Cite

Rashmi Chauhan, & Rachna Kathuria. (2024). Employer Branding through Social Media: Decoding the Symbolic Attributes of an Ideal Employer. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 171–184. Retrieved from http://eudoxuspress.com/index.php/pub/article/view/1024

Issue

Section

Articles

Similar Articles

1 2 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.