Issue |
ITM Web Conf.
Volume 68, 2024
2024 First International Conference on Artificial Intelligence: An Emerging Technology in Management (ICAETM 2024)
|
|
---|---|---|
Article Number | 01006 | |
Number of page(s) | 8 | |
Section | Engineering Technology & Management | |
DOI | https://doi.org/10.1051/itmconf/20246801006 | |
Published online | 12 December 2024 |
Analysing Employees’ Perception of AI-Enhanced Work from Home Approach in Karnataka
1 Departmet of Management Studies, Visvesvaraya Technological University, Belagavi 590018, Karnataka, India.
2 Departmet of Management Studies, Visvesvaraya Technological University, Belagavi 590018, Karnataka, India.
3 Departmet of Management Studies, KLS Gogte Institute of Technology, Belagavi 590008, Karnataka, India.
4 Departmet of Management Studies, Bharatesh Education Trust Global Business School, Belagavi 590016, Karnataka, India.
* Corresponding author: vbhajantri704@gmail.com
The shift to working from home became a standard response across industries during the COVID19 pandemic to sustain the economy. This shift accelerated the global transition to remote work, altering traditional workplace dynamics. This analytical study investigates employees’ perceptions of AI-enhanced work from home (WFH) models in Karnataka. Using a survey of 183 participants through a convenience sampling method, the study examines key variables influencing WFH experiences, including job satisfaction, work-life balance, productivity, and challenges related to technology and AI integration. Our findings reveal that most employees working from home report higher job satisfaction and improved worklife balance, however, significant challenges persist, such as inadequate technology infrastructure, unclear work-life boundaries, and issues related to AI integration. Demographic factors like age, gender, and job role also influenced attitudes and adaptability to AI-driven remote work. The insights from this study can help employers and policymakers refine remote work policies and AI support systems, ensuring a productive and balanced remote workplace. Future research should focus on the long-term effects of AI-enhanced WFH and strategies to overcome its challenges.
Key words: AI Enhanced Work from Home / Employee Perception / remote work Challenges / Job Satisfaction / Work life Balance / Technological Integration
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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