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Casualisation of teaching workforce in higher education sector: a study of its impact on the relative performance of the employees

Abhishek Sharma et al.

International Journal of Technology Transfer and Commercialisation2025https://doi.org/10.1504/ijttc.2025.145562article
AJG 1
Weight
0.50

What the paper says

The casualisation of workforce has achieved the status of global phenomenon and the education sector of India is also one of the prominent sectors that increase its dependence on the casual workforce. The international organisations such as International Labor Organisation (ILO) and the Industrial and Public Service International (PSI) have condemned the practice of casualisation in various sectors of the country. The increase in casualisation of workforce in education sector is having the long term impact on the overall growth and development of the country. The education institutions are adopting the practices of hiring casual workers rather than full time workers. The study attempts to establish the relationship between the casualisation of teaching workforce and the performance of employees in higher education sector by setting the null and alternative hypothesis. The regression analysis test through the IBM SPSS software is used to analyse the data which showed that there is a positive correlation between the casualisation of workforce and work performance of the employees.

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https://doi.org/https://doi.org/10.1504/ijttc.2025.145562

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@article{abhishek2025,
  title        = {{Casualisation of teaching workforce in higher education sector: a study of its impact on the relative performance of the employees}},
  author       = {Abhishek Sharma et al.},
  journal      = {International Journal of Technology Transfer and Commercialisation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijttc.2025.145562},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.