Key Drivers and Performances of Smart Manufacturing Adoption: A Meta-Analysis

Juil Kim, Hye-ryun Jeong and Hyesu Park ()
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Juil Kim: Center for Growth Engine R&D Coordination, KISTEP, Eumseong 27740, Republic of Korea
Hye-ryun Jeong: Department of Management of Technology, Konkuk University, Seoul 05029, Republic of Korea
Hyesu Park: Department of Management of Technology, Konkuk University, Seoul 05029, Republic of Korea

Sustainability, 2023, vol. 15, issue 8, 1-19

Abstract: This study focused on the smart factory, one of the critical paradigms in the digital transformation in manufacturing, and attempted a meta-analysis to systematically integrate statistical results from existing empirical analysis studies. An integration model, key factors—smart manufacturing adoption—performances, was established from collecting 42 Korean examples of literature. To compare effect sizes between domestic and foreign empirical study results, 11 foreign articles were added, and the moderating effect verification was conducted. As a result of the analysis, (1) the key factors of the adoption and continuous use of smart manufacturing were the network effect, social influences, finances, performance expectancy, facilitating condition, technological capabilities, and entrepreneurship. (2) The adoption and continuous use of smart manufacturing had a significant impact on business performances, especially the financial performance. (3) The impacts of entrepreneurship and the network effect as factors influencing the decision making of smart manufacturing adoption in Korea can be seen to be significantly higher than those of foreign countries. (4) The impact of smart manufacturing adoption on performances in Korea was higher than other countries. The findings of this study will provide practical implications for practitioners optimizing digital transformation manufacturing policies and supporting the adoption of smart manufacturing systems.

Keywords: smart manufacturing adoption; digital transformation adoption; smart factory; digital transformation in manufacturing; industry 4.0; manufacturing industry; SMEs; technology acceptance model; meta-analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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