ORCID
- Saeyeon Roh: 0000-0002-1985-3754
Abstract
Despite the pervasiveness of the Fourth Industrial Revolution, few studies have examined the adoption of smart factories. Scholars have long examined firms' willingness to adopt smart factories. Thus, this study heeds this call by investigating the factors driving the adoption of smart factories. It employs a fuzzy-set configuration approach to capture the complex interactions underlying these drivers in the context of South Korean marine equipment firms. Based on data from a sample of 180 respondents, the findings revealed four complex paths with factors including government support, the entrepreneurial spirit of top management, efficiency expectation, and financial preparedness shaping the high and low implementation of smart factories. Theoretically, the findings are an exception to extant technology acceptance models. Practically, the attention of practitioners in South Korea and other similar contexts was drawn.
DOI Link
DOI
10.1016/j.techfore.2023.122751
Publication Date
2023-01-01
Publication Title
Technological Forecasting and Social Change
Volume
195
ISSN
0040-1625
Embargo Period
2025-01-28
Recommended Citation
Haddoud, M., Jang, H., Roh, S., Onjewu, A., & Choi, T. (2023) 'Implementing smart factory: A fuzzy-set analysis to uncover successful paths', Technological Forecasting and Social Change, 195. Available at: 10.1016/j.techfore.2023.122751
