Factors affecting SME executives’ intentions to adopt smart factories
The case of Korea
Bibliographic Data
| ID | 21501005 |
|---|---|
| Authors | Changweon Kwak (Urban Regeneration Division, City of Jeongeup, Korea (the Republic of)), Cheolho Yoon (0000-0003-3315-5941, Mokpo National University, Korea (the Republic of), corresponding author), José Martí Parreño (0000-0001-5928-7956, Valencian International University), José Martí-Parreño (Universidad Internacional de Valencia-VIU, Spain) |
| Year | 2025 |
| Volume | 41 |
| Issue | 4 |
| Pages | 1423-1441 |
| Publication date | 2025-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669231205525 |
| OpenAlex | W4387300069 |
| Language | EN |
| Citations received | 1 |
| References cited | 29 |
In order to enhance the competitiveness of the manufacturing industry in the face of the great turning point of the 4th Industrial Revolution, governments around the world are making great efforts to spread smart factories to small and medium enterprises (SMEs). The purpose of this study was to explore the factors that influence SME executives’ intentions to adopt a smart factory. To this end, a research model was developed based on the technology acceptance model (TAM), the technology-organization-environment (TOE) framework, and resource dependence theory (RDT). Data from 175 valid questionnaires were collected from SME executives in Korea and analyzed using structural equation modeling. The results of the analysis indicated that perceived usefulness did not influence SME executives’ intentions to adopt a smart factory. However, the perceived importance extracted from the RDT had a strong impact on SME executives’ intention to adopt a smart factory. As a result of the study, we identified practical implications for SMEs’ adoption of smart factories
Business · Industrial organization · Knowledge management · Structural equation modeling · Technology Acceptance Model · Usability · Computer Science · Impact of AI and Big Data on Business and Society · Innovation Diffusion and Forecasting · Technology Adoption and User Behaviour · Marketing
Electronic Data Interchange and Small Organizations
Understanding determinants of cloud computing adoption using an integrated TAM-TOE model
An Integrated Model of Information Systems Adoption in Small Businesses
Assessing the determinants of cloud computing adoption
A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework
Common method biases in behavioral research
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
Factors affecting adoption of smart farms
Smart factory adoption in small and medium-sized enterprises
Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |