Economic Costs of Labour Productivity Losses Due to the Inappropriate Use of Social Media and Smartphones: The Case of Argentina

Abstract Research purpose. The objective of this research was to calculate the cost of labour productivity loss measured exclusively as the decrease in Gross Value Added (GVA) associated with distractions caused by problematic use of social media in the workplace, where users continuously check their smartphones for updates. The calculation was conducted using Argentina as a case study, based on national statistical data from the year 2023. Design / Methodology / Approach. The design of this research is quantitative, descriptive, and explanatory, focusing on measuring and analysing labour productivity losses caused by the inappropriate use of social media and smartphones in the workplace. A national statistical series from the year 2023 was used to observe and estimate productivity losses in the context of Argentina. The applied methodology includes the collection of statistical data and the construction of a simple mathematical model to estimate the economic losses (measured exclusively as the decrease in Gross Value Added (GVA)) associated with distractions. Findings. The results of the estimation validate the hypothesis that distractions caused by the use of social media and smartphones decrease labour productivity, representing a cost by reducing the gross value added. The productivity losses resulting from this model for the year 2023 in Argentina account for 12.73% of the gross value added. It can also be observed that sectors of economic activity with high exposure to social media and smartphones experience productivity losses greater than their relative contribution to GDP, while sectors with medium and low exposure suffer losses below their relative weight in GDP. These productivity losses are not only significant in terms of Argentina’s gross value added, but they are likely to be even greater if the analysis includes the time it takes for an individual to refocus after a distraction, a cost not included in the model. Originality / Value / Practical implications. The article provides an estimate of the losses in Gross Domestic Product (GDP) due to workplace distractions caused by the inappropriate use of new information and communication technologies (ICT) in Argentina, a developing country. This analysis not only measures the economic impact of this phenomenon but also opens the door to new discussions about business models and labour relations, specifically regarding how the losses may be absorbed by both employers and employees, who might be trying to counteract the distractions with faster work, but of lower quality and higher stress.

Authors

Institutions

Publication Details

Journal
Economics and Culture
Published
2025-12-01
DOI
https://doi.org/10.2478/jec-2025-0018
Primary Topic
Cyberloafing and Workplace Behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Economic Costs of Labour Productivity Losses Due to the Inappropriate Use of Social Media and Smartphones: The Case of Argentina

Solange Finkelsztein
Economics and Culture
Cyberloafing and Workplace Behavior
article

Economic Costs of Labour Productivity Losses Due to the Inappropriate Use of Social Media and Smartphones: The Case of Argentina

Solange Finkelsztein
article en

Abstract

Abstract Research purpose. The objective of this research was to calculate the cost of labour productivity loss measured exclusively as the decrease in Gross Value Added (GVA) associated with distractions caused by problematic use of social media in the workplace, where users continuously check their smartphones for updates. The calculation was conducted using Argentina as a case study, based on national statistical data from the year 2023. Design / Methodology / Approach. The design of this research is quantitative, descriptive, and explanatory, focusing on measuring and analysing labour productivity losses caused by the inappropriate use of social media and smartphones in the workplace. A national statistical series from the year 2023 was used to observe and estimate productivity losses in the context of Argentina. The applied methodology includes the collection of statistical data and the construction of a simple mathematical model to estimate the economic losses (measured exclusively as the decrease in Gross Value Added (GVA)) associated with distractions. Findings. The results of the estimation validate the hypothesis that distractions caused by the use of social media and smartphones decrease labour productivity, representing a cost by reducing the gross value added. The productivity losses resulting from this model for the year 2023 in Argentina account for 12.73% of the gross value added. It can also be observed that sectors of economic activity with high exposure to social media and smartphones experience productivity losses greater than their relative contribution to GDP, while sectors with medium and low exposure suffer losses below their relative weight in GDP. These productivity losses are not only significant in terms of Argentina’s gross value added, but they are likely to be even greater if the analysis includes the time it takes for an individual to refocus after a distraction, a cost not included in the model. Originality / Value / Practical implications. The article provides an estimate of the losses in Gross Domestic Product (GDP) due to workplace distractions caused by the inappropriate use of new information and communication technologies (ICT) in Argentina, a developing country. This analysis not only measures the economic impact of this phenomenon but also opens the door to new discussions about business models and labour relations, specifically regarding how the losses may be absorbed by both employers and employees, who might be trying to counteract the distractions with faster work, but of lower quality and higher stress.

Economics and CultureVol. 22(2)
Universidad Argentina de la Empresa (AR)
Decent work and economic growth
Openalex Percentile: Top 13%
Cyberloafing and Workplace Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.