Analysing Employees’ Perception of AI-Enhanced Work from Home Approach in Karnataka DOI Creative Commons

Vani Dilipkumar Bhajantri,

Basavaraj S. Kudachimatht,

Rajendra M. Inamdar

et al.

ITM Web of Conferences, Journal Year: 2024, Volume and Issue: 68, P. 01006 - 01006

Published: Jan. 1, 2024

The shift to working from home became a standard response across industries during the COVID19 pandemic sustain economy. This accelerated global transition remote work, altering traditional workplace dynamics. analytical study investigates employees’ perceptions of AI-enhanced work (WFH) models in Karnataka. Using survey 183 participants through convenience sampling method, examines key variables influencing WFH experiences, including job satisfaction, work-life balance, productivity, and challenges related technology AI integration. Our findings reveal that most employees report higher satisfaction improved worklife however, significant persist, such as inadequate infrastructure, unclear boundaries, issues Demographic factors like age, gender, role also influenced attitudes adaptability AI-driven work. insights this can help employers policymakers refine policies support systems, ensuring productive balanced workplace. Future research should focus on long-term effects strategies overcome its challenges.

Language: Английский

Retaining the transportation benefits of COVID-19 induced work from home: Understanding the role of worker productivity DOI
Natalia Barbour, Mohamed Abdel‐Aty, Fred Mannering

et al.

International Journal of Sustainable Transportation, Journal Year: 2024, Volume and Issue: 18(5), P. 408 - 420

Published: Feb. 17, 2024

The abrupt switch to work from home during the COVID-19 pandemic has not only altered people's commutes but also changed their entire work-life balance. While some workers were quick adapt and maintain or even increase productivity, others experienced a decrease in productivity. Self-assessed productivity changes after switching traditional in-person is studied using survey of 3,780 (including full-time college students). A probabilistic statistical model used estimate probabilities that workers' self-reported remained same, decreased, ways increased other increased. estimation results identify who resilient adaptable (having higher probability increasing productivity) those less adaptive workers, more likely experience It was found race, ethnicity, household income, size, education, gender, presence children household, level life satisfaction, being student, prior with online meetings, commute distances all play role how changed. This study provides insights for development effective policies improve equity (by targeting vulnerable populations) sustainability retaining transportation environmental benefits telework) post reality.

Language: Английский

Citations

4

Understanding work-arrangement choices: factors and implications DOI
Md Asif Hasan Anik, Muhammad Ahsanul Habib

Transportation Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: Jan. 30, 2025

Language: Английский

Citations

0

Who stopped riding buses and what would motivate them to return? A New Jersey case study DOI
Devajyoti Deka, Z. Liu

Case Studies on Transport Policy, Journal Year: 2024, Volume and Issue: 15, P. 101159 - 101159

Published: Feb. 17, 2024

Language: Английский

Citations

3

The impacts of COVID-19 on route choice with guidance information in urban rail transit of megacities DOI
Xinyue Xu, Liu Jing, Anzhong Zhang

et al.

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 183, P. 104046 - 104046

Published: March 27, 2024

Language: Английский

Citations

3

Comparing teleworkers and traditional workers: Differences in social isolation, burnout, work-life balance and job satisfaction DOI
Onur Barca, Mine AYDEMİR, Nuran BAYRAM ARLI

et al.

Journal of Workplace Behavioral Health, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 21

Published: April 17, 2025

Language: Английский

Citations

0

Investigating commuters' working from home attitudes and its explanatory factors after the lifting of COVID-19 prevention and control policies DOI
Qiuyan Zhao,

Jiankun Yang,

Xiaoxi Wang

et al.

Case Studies on Transport Policy, Journal Year: 2024, Volume and Issue: 15, P. 101157 - 101157

Published: Feb. 10, 2024

Language: Английский

Citations

2

Scientometric literature review: Effects of Work from Home (WFH) on transportation system DOI Creative Commons
Hamza Zubair,

Susilawati Susilawati,

Amin Talei

et al.

Multimodal Transportation, Journal Year: 2024, Volume and Issue: 3(3), P. 100152 - 100152

Published: June 13, 2024

Language: Английский

Citations

2

Working from home and commuter travel in germany – panel data analysis of long-term effects DOI Creative Commons
Carina Böhnen, Tobias Kuhnimhof

Transportation Research Part A Policy and Practice, Journal Year: 2024, Volume and Issue: 190, P. 104257 - 104257

Published: Sept. 16, 2024

Language: Английский

Citations

1

Practical Design and Implementation of IoT-Based Occupancy Monitoring Systems for Office Buildings: A Case Study DOI Creative Commons

Payam Fatehi Karjou,

Sina Khodadad Saryazdi,

Phillip Stoffel

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: unknown, P. 114852 - 114852

Published: Sept. 1, 2024

Language: Английский

Citations

1

Investigating the Role of Hybrid Work Model in Achieving Sustainable Transportation System: A Tour-Based Analysis DOI
Hamza Zubair,

Susilawati Susilawati,

Ziyuan Pu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0