EconPapers    
Economics at your fingertips  
 

Italians and smart working: A technical study on the effects of smart working on the society

Fabio Fortuna, Luca Rossi, Grazia Chiara Elmo and Gabriella Arcese

Technological Forecasting and Social Change, 2023, vol. 187, issue C

Abstract: Due to the COVID-19 pandemic, “smart working” (hereafter SW) has become the norm for millions of workers around the world. A new way of working for most workers and in particular in Italy, a country where the use of SW was extremely rare before the pandemic. The aim of this paper, was to highlights whether smart working, adopted to face and survive global crises, could be really a suitable tool to generate benefits for companies, society, reduce environmental impacts and guarantee autonomy and flexibility for workers as well as a balance between private life. The analysis was conducted on a sample of 2753 individuals based in Italy during the period January and February 2021 using PLS-SEM model. The contribution of this study to research is identified in clarifying the potential of SW to create sustainable Smart Cities.

Keywords: Smart working; COVID-19; PLS-SEM; Organizational changes; Empirical investigation (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522007417
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007417

DOI: 10.1016/j.techfore.2022.122220

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007417