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Deep insight of HR management on work from home scenario during Covid pandemic situation using intelligent: analysis on IT sectors in Tamil Nadu

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  • Martin Selvakumar Mohanan

    (Great Lakes Institute of Management
    Turiba University)

  • Vijayakumar Rajarathinam

    (Texila American University)

Abstract

The unexpected Coronavirus Disease 2019 (COVID-19) pandemic has heavily hit on global business, causing major disruptions in Human Resource Management (HRM) across a wide range of industries. Since work and family are the major essential aspects of everyone's lives, work-life balance is a major factor impacting happiness. Changes brought on by the novel coronavirus COVID-19 have had far-reaching consequences for businesses all around the world, and had a significant impact on human resource management. HRM had to cope with the layoffs and staff reductions brought on by the pandemic lockdown. Work-life balance is a constant challenge for most of the employees. The work-from-home scenario shifted the balance between job and personal life. Most of the prior studies have looked at the nature of work-life balance, but only a few have covered the effects of a pandemic on the workplace. The goal of this research is to conduct a thorough examination of HRM in IT firms in Tamil Nadu under a work-from-home scenario in the event of a COVID pandemic. Here, the analysis is conducted on the basis of nine categories such as “employee wellbeing, flexible workplace, remote work, job loss, human capital, human resource development, leadership, performance, and communication”. A questionnaire is prepared to address the challenges facing in the above mentioned drives. Next, the responses are collected from different IT HR professionals in Tamil Nadu. These responses are given to the prediction phase that is performed using the proposed Deep Neural Network (DNN). DNN is used to obtain the result more quickly. Features are automatically deduced and optimally tuned for desired outcomes. The same neural network based approach can be applied to many different applications and data types. Here, the weight of DNN is optimized by the Oppositional Random Searched Tunicate Swarm Algorithm (ORS-TSA) for enhancing the performance through RMSE minimization. ORS-TSA has strong global optimization ability, robustness and fast convergence speed. It gives the optimal results when comparing the other traditional algorithms. Finally, the outcomes are compared with different methods using error measures to describe the superiority of the proposed method.

Suggested Citation

  • Martin Selvakumar Mohanan & Vijayakumar Rajarathinam, 2023. "Deep insight of HR management on work from home scenario during Covid pandemic situation using intelligent: analysis on IT sectors in Tamil Nadu," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1151-1182, August.
    • Handle: RePEc:spr:ijsaem:v:14:y:2023:i:4:d:10.1007_s13198-023-01880-w
    DOI: 10.1007/s13198-023-01880-w
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    References listed on IDEAS

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    1. Khaldoon Albitar & Ali Meftah Gerged & Hassan Kikhia & Khaled Hussainey, 2020. "Auditing in times of social distancing: the effect of COVID-19 on auditing quality," International Journal of Accounting & Information Management, Emerald Group Publishing Limited, vol. 29(1), pages 169-178, September.
    2. Iza Gigauri, 2020. "Influence of Covid-19 Crisis on Human Resource Management and Companies’ Response: The Expert Study," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 6(6), pages 15-24, September.
    3. Antonio de Lucas Ancillo & María Teresa del Val Núñez & Sorin Gavrila Gavrila, 2021. "Workplace change within the COVID-19 context: a grounded theory approach," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 34(1), pages 2297-2316, January.
    4. Aleksandar Radic & Michael Lück & Antonio Ariza-Montes & Heesup Han, 2020. "Fear and Trembling of Cruise Ship Employees: Psychological Effects of the COVID-19 Pandemic," IJERPH, MDPI, vol. 17(18), pages 1-17, September.
    5. Margherita Zito & Emanuela Ingusci & Claudio G. Cortese & Maria Luisa Giancaspro & Amelia Manuti & Monica Molino & Fulvio Signore & Vincenzo Russo, 2021. "Does the End Justify the Means? The Role of Organizational Communication among Work-from-Home Employees during the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(8), pages 1-20, April.
    6. L.C. Huang, P. Wu, R.J. Kuo, H.C. Huang, 2001. "A neural network modelling on human resource talent selection," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 1(2/3/4), pages 206-219.
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