Unveiling the Skill Gap: A Comprehensive Analysis of Employee Perceptions in the Pharmaceutical Industry

Authors

  • S.V.Shanmuka Rajan Research Scholar, PG Department of Management & Research Adaikalamatha College, (Affiliated to Bharathidasan University) Vallam (PO), Thanjavur – 613 403, Tamilnadu, India
  • V.Ramesh Kumar Asst. Professor, PG Department of Management & Research Adaikalamatha College, (Affiliated to Bharathidasan University) Vallam (PO), Thanjavur – 613 403, Tamilnadu, India

Keywords:

Skill Gap, workforce, Employee Perceptions, Performance, Pharmaceutical Industry

Abstract

In the rapidly evolving landscape of the pharmaceutical industry, the identification and mitigation of skill gaps among employees are crucial for sustained growth and innovation. This study delves into the perceptions of employees regarding skill gaps within the pharmaceutical sector. Through a comprehensive analysis, encompassing surveys, interviews, and industry data, this research uncovers the nuances of skill deficiencies as perceived by employees across various job roles and hierarchical levels. The findings shed light on the specific areas where employees feel underprepared or lacking, ranging from technical competencies to soft skills essential for success in a dynamic work environment. By understanding these perceived skill gaps, pharmaceutical organizations can tailor their training and development initiatives to address the specific needs of their workforce, ultimately fostering a more agile and skilled workforce capable of navigating the complexities of the industry. This study contributes valuable insights to the ongoing discourse on talent management within the pharmaceutical sector, offering practical recommendations for enhancing employee skills and driving organizational success in an increasingly competitive marketplace.

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Published

2024-09-22

How to Cite

S.V.Shanmuka Rajan, & V.Ramesh Kumar. (2024). Unveiling the Skill Gap: A Comprehensive Analysis of Employee Perceptions in the Pharmaceutical Industry. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 867–875. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/656

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