Exploring Factors Influencing the Intention to Introduce Advanced Smart Factory : Focused on Technology, Organization, Environment Framework

With the rapid progress of the 4th industrial revolution, digital transformation is accelerating globally, and countries such as Germany, the United States, Japan, and China are actively adopting smart factories. Since 2014, the Korean government has promoted smart factory adoption among SMEs, supporting 30,144 companies by the end of 2022. However, many remain at the basic stage, implementing only fundamental solutions such as MES and ERP, with insufficient qualitative advancement. To enhance manufacturing competitiveness, transitioning to advanced smart factories is essential. This study surveyed companies beyond the basic level to analyze factors influencing their intention to advance. The results indicate that technical factors, including relative advantage, compatibility, and ease of use, positively impact user satisfaction, which, in turn, influences the intention to advance. Organizational factors, such as the manager’s commitment and ICT capability, also have a significant effect. Among environmental factors, government support positively affects the intention to advance, while financial ability does not show a significant impact. Previous studies have primarily focused on the early adoption stage of smart factories or individual technologies. In contrast, this study provides new insights into the transition toward smart factory advancement, contributing both academically and practically by identifying key factors influencing further implementation.

Authors

Publication Details

Journal
Korean Production and Operations Management Society
Published
2025-02-28
DOI
https://doi.org/10.32956/kopoms.2025.36.1.93
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Factors Influencing the Intention to Introduce Advanced Smart Factory : Focused on Technology, Organization, Environment Framework

Shih-Da Lee, Insu Cho, Mihyun Yoon
Korean Production and Operations Management Society
Technology and Data Analysis
article

Exploring Factors Influencing the Intention to Introduce Advanced Smart Factory : Focused on Technology, Organization, Environment Framework

Shih-Da Lee, Insu Cho, Mihyun Yoon
article en

Abstract

With the rapid progress of the 4th industrial revolution, digital transformation is accelerating globally, and countries such as Germany, the United States, Japan, and China are actively adopting smart factories. Since 2014, the Korean government has promoted smart factory adoption among SMEs, supporting 30,144 companies by the end of 2022. However, many remain at the basic stage, implementing only fundamental solutions such as MES and ERP, with insufficient qualitative advancement. To enhance manufacturing competitiveness, transitioning to advanced smart factories is essential. This study surveyed companies beyond the basic level to analyze factors influencing their intention to advance. The results indicate that technical factors, including relative advantage, compatibility, and ease of use, positively impact user satisfaction, which, in turn, influences the intention to advance. Organizational factors, such as the manager’s commitment and ICT capability, also have a significant effect. Among environmental factors, government support positively affects the intention to advance, while financial ability does not show a significant impact. Previous studies have primarily focused on the early adoption stage of smart factories or individual technologies. In contrast, this study provides new insights into the transition toward smart factory advancement, contributing both academically and practically by identifying key factors influencing further implementation.

Korean Production and Operations Management SocietyVol. 36(1)
Openalex Percentile: Top 94%
Technology and Data Analysis
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.