THE MACROECONOMIC IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED DIGITAL TRANSFORMATION AS THE CONTEXT OF INDUSTRY 4.0 AND SOCIETY 5.0

Some technological innovations have not only made daily life easier; they have also led to fundamental transformations in production methods. With the change in the structure of production, the emergence of industrialization stages has also become possible. This process, which began with Industry 1.0, has affected the economic and social structure in a multidimensional way at every stage. With the transition to Industry 4.0, the production structure and industrial organization are being reshaped, and this transformation is producing various macroeconomic results. The aim of this study is to analyze the possible effects of Industry 4.0 and the anticipated Society 5.0 on macroeconomic variables in the short, medium, and long term. The analysis is approached from the perspective of developed, developing, and less developed countries. The study evaluates the effects of these transformations, particularly on economic growth, employment, income distribution, development gaps, and capital and labor factors. The findings indicate that Industry 4.0 and Society 5.0 may have negative effects on the labor market, income distribution, and development disparities in the short term; however, they show a positive impact on economic growth.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-08
DOI
https://doi.org/10.5281/zenodo.18908060
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE MACROECONOMIC IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED DIGITAL TRANSFORMATION AS THE CONTEXT OF INDUSTRY 4.0 AND SOCIETY 5.0

Umut Evlimoglu1, Ahmet Unlu2*, Bulent Akdemir3
Zenodo (CERN European Organization for Nuclear Research)
Digital Transformation in Industry
article

THE MACROECONOMIC IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED DIGITAL TRANSFORMATION AS THE CONTEXT OF INDUSTRY 4.0 AND SOCIETY 5.0

Umut Evlimoglu1, Ahmet Unlu2*, Bulent Akdemir3
article en

Abstract

Some technological innovations have not only made daily life easier; they have also led to fundamental transformations in production methods. With the change in the structure of production, the emergence of industrialization stages has also become possible. This process, which began with Industry 1.0, has affected the economic and social structure in a multidimensional way at every stage. With the transition to Industry 4.0, the production structure and industrial organization are being reshaped, and this transformation is producing various macroeconomic results. The aim of this study is to analyze the possible effects of Industry 4.0 and the anticipated Society 5.0 on macroeconomic variables in the short, medium, and long term. The analysis is approached from the perspective of developed, developing, and less developed countries. The study evaluates the effects of these transformations, particularly on economic growth, employment, income distribution, development gaps, and capital and labor factors. The findings indicate that Industry 4.0 and Society 5.0 may have negative effects on the labor market, income distribution, and development disparities in the short term; however, they show a positive impact on economic growth.

Zenodo (CERN European Organization for Nuclear Research)
Adnan Menderes University (TR)
Decent work and economic growth
Openalex Percentile: Top 34%
Digital Transformation in Industry
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.

THE MACROECONOMIC IMPACTS OF ARTIFICIAL INTELLIGENCE-SUPPORTED DIGITAL TRANSFORMATION AS THE CONTEXT OF INDUSTRY 4.0 AND SOCIETY 5.0 — Umut Evlimoglu1, Ahmet Unlu2*, Bulent Akdemir3 · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS