Data Science and Intelligent Computing Techniques
A Comparative Study of Remote Work and Hybrid Work Models: Adapting to the New Normal
Authors: Kenil Thakkar and Anuradha Acharya
Publishing Date: 09-12-2023
ISBN: 978-81-955020-2-8
Abstract
Before the Covid-19 pandemic, traditional office-based work models were prevalent in the corporate sector. Employees were generally expected to work on-site, with remote work being infrequent and mostly restricted to certain roles or situations. In the wake of the global health crisis caused by Covid-19, novel concepts such as remote work and hybrid work have emerged in the corporate sector. This shift has given rise to a new normal, where online and virtual modes have become integral to the functioning of almost all organizations. While the positive aspects of this evolving work culture are evident, existing research also highlights certain drawbacks. Among these trends, the hybrid work style appears to be the favored choice. This paper delves beyond mere statistical and comparative analysis of an existing dataset and data encompassing individuals ranging from the employed, unemployed, to newcomers in the job market, collected by conducting a survey. The study explores the merits and demerits of this new working environment from a future-oriented perspective. The findings unveil a strong inclination toward hybrid work culture among the majority of respondents. Interestingly, employers still exhibit a preference for on-site or office-based work.
Keywords
Work from Home, Hybrid Working, Information Technology, Work from Office, Comparative Analysis.
Cite as
Kenil Thakkar and Anuradha Acharya, "A Comparative Study of Remote Work and Hybrid Work Models: Adapting to the New Normal", In: Satyasai Jagannath Nanda and Rajendra Prasad Yadav (eds), Data Science and Intelligent Computing Techniques, SCRS, India, 2023, pp. 689-702. https://doi.org/10.56155/978-81-955020-2-8-61