Transforming 4Cs capabilities into incremental innovation: Mediating role of knowledge co-creation in manufacturing SMEs
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DOIhttp://dx.doi.org/10.21511/ppm.24(2).2026.39
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Article InfoVolume 24 2026, Issue #2, pp. 582–595
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
This study examines how 4Cs capabilities, namely critical thinking, creativity, communication, and collaboration, contribute to incremental innovation through the mediating role of knowledge co-creation in resource-constrained manufacturing SMEs. Data were collected from 179 key informants, including owners, executives, engineers, and technicians, targeting manufacturing SMEs in Thailand between May and June 2025 using a structured questionnaire survey. These respondents were selected because they are directly involved in operational and innovation-related activities in their firms. The data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results show that all four 4Cs capabilities have statistically significant positive effects on incremental innovation: critical thinking (β = 0.194, p < 0.01), creativity (β = 0.255, p < 0.01), communication (β = 0.183, p < 0.05), and collaboration (β = 0.157, p < 0.01). All four capabilities also positively influence knowledge co-creation, which in turn significantly affects incremental innovation (β = 0.257, p < 0.01). The findings further indicate partial mediation, suggesting that learning-oriented capabilities contribute to innovation both directly and through knowledge co-creation. These findings indicate that incremental innovation in resource-constrained manufacturing SMEs depends not only on the presence of learning-oriented capabilities but also on how these capabilities are integrated through knowledge sharing, integration, and application processes. Knowledge co-creation therefore functions as a central mechanism through which existing capabilities are translated into innovation outcomes.
Acknowledgment
This research was supported by Prince of Songkla University (Grant No. LAM6802035S).
- Keywords
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JEL Classification (Paper profile tab)D83, O31, O32, M10
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References50
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Tables4
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Figures2
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- Figure 1. Conceptual framework
- Figure 2. Results of the structural model
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- Table 1. Characteristics of the respondents
- Table 2. Reflective measurement and structural models
- Table 3. Predictor assessment
- Table A1. Constructs and measurement items
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