Predicting Employee Preference of Teleworking Using Machine Learning Techniques in the Post COVID-19 Period in Sri Lanka-Reference-Cited by-同舟云学术

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Predicting Employee Preference of Teleworking Using Machine Learning Techniques in the Post COVID-19 Period in Sri Lanka

Published:2022-09-01 Issue: Volume: Page:
ISSN:
Container-title:2022 International Research Conference on Smart Computing and Systems Engineering (SCSE)
language:
Short-container-title:

Author:

Abesiri S. A. D. D.¹,Rupasingha R. A. H. M.²

Affiliation:

1. Sabaragamuwa University of Sri Lanka,Department of Computing & Information Systems,Sri Lanka

2. Sabaragamuwa University of Sri Lanka,Department of Economics and Statistics,Sri Lanka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9904953/9905082/09905131.pdf?arnumber=9905131

Reference14 articles.

1. Work from Home: Measuring Satisfaction between Work–Life Balance and Work Stress during the COVID-19 Pandemic in Indonesia

2. Work From Home During the COVID-19 Outbreak

3. Employees Work-Life Balance Reviewed From Work From Home Aspect During COVID-19 Pandemic;putri;International Journal of Information Technology and Management,2021

4. COPING WITH POST COVID-19: CAN WORK FROM HOME BE A NEW NORM?

5. Work From Home After Covid-19: Machine Learning-Based Approach to Predict Employee's Choice

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