Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda

Majid Aleem^*, Muhammad Sufyan, Irfan Ameer, Mekhail Mustak

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	113303-113303
Number of pages	0
Journal	Journal of Business Research
Volume	154
Issue number	0
DOIs	https://doi.org/10.1016/j.jbusres.2022.113303
Publication status	Published - Jan 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{3888f98c7b0146cc8783460052a482d5,

title = "Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda",

author = "Majid Aleem and Muhammad Sufyan and Irfan Ameer and Mekhail Mustak",

year = "2023",

month = jan,

doi = "10.1016/j.jbusres.2022.113303",

language = "English",

volume = "154",

pages = "113303--113303",

journal = "Journal of Business Research",

issn = "0148-2963",

publisher = "Elsevier Inc.",

number = "0",

}

TY - JOUR

T1 - Remote work and the COVID-19 pandemic: An artificial intelligence-based topic modeling and a future agenda

AU - Aleem, Majid

AU - Sufyan, Muhammad

AU - Ameer, Irfan

AU - Mustak, Mekhail

PY - 2023/1

Y1 - 2023/1

U2 - 10.1016/j.jbusres.2022.113303

DO - 10.1016/j.jbusres.2022.113303

M3 - Article

SN - 0148-2963

VL - 154

SP - 113303

EP - 113303

JO - Journal of Business Research

JF - Journal of Business Research

IS - 0

ER -