783
Views
1
CrossRef citations to date
0
Altmetric
Articles

Technology-enabled work from home during COVID-19 pandemic: A qualitative study of employee experiences and effectiveness

ORCID Icon, ORCID Icon &
Pages 229-252 | Received 02 Oct 2021, Accepted 24 Jun 2022, Published online: 08 Jul 2022
 

Abstract

The COVID-19 pandemic has disrupted businesses and compelled the workforce toward the adoption of technology-enabled work from home (WFH). The purpose of this study is to investigate and understand the employee experiences and effectiveness of technology-enabled WFH. In-depth structured interviews were conducted with 39 respondents from western India. Qualitative content analysis was conducted, and the sub-themes and themes were identified by the researchers out of the interviews’ text. The employee experiences are presented through a proposed framework comprising positive and negative factors affecting WFH. The study presents various findings on WFH such as (a) A Framework comprising of personal factors, employee performance, and technology adoption, and (b) A pictorial representation of positive and negative factors affecting the WFH. The paper also identified various challenges, which can be addressed for the effective implementation of WFH. This study presents a realistic and holistic picture of the technology-enabled WFH in India, which is a newfangled concept in the context of the pandemic. Open research areas are identified, which are presented at the end.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 485.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.