Influence of Skills Impartation on Effectiveness of Employee Working From Home

Authors

  • Maxwell Indioma Mahatma Jyotiba Phule Rohilkhand University

DOI:

https://doi.org/10.47604/jhrl.1901

Keywords:

Influence, Skills Impartation, Effectiveness, Employee, Working, Home.

Abstract

Purpose: The study sought to analyze the influence of skills impartation on effectiveness of employee working from home.

Methodology: The study adopted a desktop methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive's time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.

Findings: The study found out that the switch to working from home may have a negative impact on worker's mental health if they are unable to find a routine that works for them, if they do not have the right training, are struggling to separate work and home life or are feeling isolated. Managers need to train, encourage employees to develop a working routine, set up a dedicated work space and set boundaries for other household members. The study concludes that training needs assessment affects the performance of employees to a large extent as demonstrated by all the factors of training needs assessment to a large extent affects employee performance. This is because training is appropriate when an organization is expected to gain more benefit from the training than it invested in its cost.

Unique Contribution to Theory, Practice and Policy: The study would be useful to academicians and researchers wishing to carry out find research as to contribute to existing literature in the field of training therefore add knowledge and stimulate further research in other aspect of training. Potential investors would also benefit, as it would be 14 a source of ready information for making a sound decision. The study would also provide in depth knowledge of training as one of the elements affecting employee performance.

Downloads

Download data is not yet available.

References

Aczel, B., Kovacs, M., Van Der Lippe, T., & Szaszi, B. (2021). Researchers working from home: Benefits and challenges. PloS one, 16(3), e0249127.

Adeyi, A. O., Apansile, E. K., Okere, W., & Okafor, L. I. (2018). Training and development and organisational performance: Standpoint from Private tertiary institutions in Nigeria. Journal of Economics, Management and Trade, 21(12), 1-10.

Barrero, J. M., Bloom, N., & Davis, S. J. (2021). Why working from home will stick (No. w28731). National Bureau of Economic Research.

Biggio, B., & Roli, F. (2018, October). Wild patterns: Ten years after the rise of adversarial machine learning. In Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security (pp. 2154-2156).

Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015). Does working from home work? Evidence from a Chinese experiment. The Quarterly journal of economics, 130(1), 165-218.

Bonacini, L., Gallo, G., & Scicchitano, S. (2021). Working from home and income inequality: risks of a "˜new normal'with COVID-19. Journal of population economics, 34(1), 303-360.

Bouziri, H., Smith, D. R., Descatha, A., Dab, W., & Jean, K. (2020). Working from home in the time of COVID-19: how to best preserve occupational health?. Occupational and environmental medicine, 77(7), 509-510.

Gottlieb, C., Grobovsek, J., & Poschke, M. (2020). Working from home across countries. Covid Economics.

Hammami, A., Harrabi, B., Mohr, M., & Krustrup, P. (2022). Physical activity and coronavirus disease 2019 (COVID-19): specific recommendations for home-based physical training. Managing Sport and Leisure, 27(1-2), 26-31.

Karras, T., Aittala, M., Hellsten, J., Laine, S., Lehtinen, J., & Aila, T. (2020). Training generative adversarial networks with limited data. Advances in neural information processing systems, 33, 12104-12114.

Miyato, T., Dai, A. M., & Goodfellow, I. (2016). Adversarial training methods for semi-supervised text classification. arXiv preprint arXiv:1605.07725.

Mwangi, M. N. (2014). The effects of liquidity on financial performance of deposit taking micro finance institutions in Kenya (Doctoral dissertation).

NDIBE, B. (2017). Effect of employees training on organizational performance in soft drinks bottling companies in Enugu state, Nigeria (Doctoral dissertation).

Nowozin, S., Cseke, B., & Tomioka, R. (2016). f-gan: Training generative neural samplers using variational divergence minimization. Advances in neural information processing systems, 29.

Nzuve, R. M. (2016). Impact of macroeconomic factors on financial performance of deposit-taking micro finance institutions in Kenya (Doctoral dissertation).

Oakman, J., Kinsman, N., Stuckey, R., Graham, M., & Weale, V. (2020). A rapid review of mental and physical health effects of working at home: how do we optimise health?. BMC public health, 20, 1-13.

Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving language understanding by generative pre-training.

Rasley, J., Rajbhandari, S., Ruwase, O., & He, Y. (2020, August). Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 3505-3506).

Shonubi, A. O. (2020). The perceived effect of staff development on organisational performance in selected First Banks in Lagos State, Nigeria. Inkanyiso: Journal of Humanities and Social Sciences, 12(1), 56-71.

Touvron, H., Cord, M., Douze, M., Massa, F., Sablayrolles, A., & Jgou, H. (2021, July). Training data-efficient image transformers & distillation through attention. In International conference on machine learning (pp. 10347-10357). PMLR.

Tramèr, F., Kurakin, A., Papernot, N., Goodfellow, I., Boneh, D., & McDaniel, P. (2017). Ensemble adversarial training: Attacks and defenses. arXiv preprint arXiv:1705.07204.

Downloads

Published

2023-04-05

How to Cite

Indioma, M. (2023). Influence of Skills Impartation on Effectiveness of Employee Working From Home. Journal of Human Resource and Leadership, 8(2), 1–10. https://doi.org/10.47604/jhrl.1901

Issue

Section

Articles