Deep Learning Sentimental Analysis of Perceived Job Insecurity and its Impact on Workplace Happiness among Indian IT Employees

Authors

  • M. Sowjanya Research Scholar, KL University, Hyderabad.
  • Akanksha Dubey Asst.Professor, Department of Management studies, Koneru Lakshmaiah Education Foundation, Hyderabad.

Keywords:

Sentiment analysis, deep learning, organizational dynamics, job insecurity, demographic factors, work environment, Indian IT sector, emotional insights

Abstract

Organizations are investing increasing amounts of money and resources in improving happiness at work. The significance of workplace happiness is being realized globally. The highest level of attaining satisfaction is happiness and the IT sector always stands ahead with innovative ways of implementing new HR concepts to make employees happy.  Hence, this paper presents a comprehensive exploration of sentiment dynamics within the Indian IT sector, investigating the intricate interplay between demographic factors, work environment facets, and perceptions of job insecurity. Utilizing a combination of statistical analyses and sentiment analysis techniques driven by deep learning, this study unveils the nuanced relationships shaping employee experiences. ANOVA and robust tests underscore the impact of gender, age, experience, and qualification on job insecurity, substantiating their significance within the industry. The integration of sentiment analysis adds an emotional dimension to the quantitative findings. Through analysing sentiments associated with learning opportunities, leadership, and rewards, this study captures the emotional undercurrents that influence workplace perceptions. This dual perspective offers a comprehensive view of how demographic groups interact with these essential elements of the work environment. Through a synthesis of advanced statistical methodologies and sentiment analysis techniques, the study the intricate relationships between demographic variables, work environment dynamics, and perceptions of job insecurity. The results highlight the significant impact of gender, age, experience, and qualification on job insecurity perceptions, validated by ANOVA and robust tests.

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Published

03.09.2023

How to Cite

Sowjanya, M. ., & Dubey, A. . (2023). Deep Learning Sentimental Analysis of Perceived Job Insecurity and its Impact on Workplace Happiness among Indian IT Employees. International Journal of Intelligent Systems and Applications in Engineering, 12(1s), 663–675. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3501

Issue

Vol. 12 No. 1s (2024)

Section

Research Article

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