Practicing stakeholder partnership in Indonesia’s primary clinic sector: Managing networking capabilities, collaborative engagement, and the healthcare ecosystems
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Author(s)Sari AprizaLink to ORCID Index: https://orcid.org/0009-0009-5719-7522
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Engkos Achmad KuncoroLink to ORCID Index: https://orcid.org/0009-0008-0882-2785
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Firdaus AlamsjahLink to ORCID Index: https://orcid.org/0000-0002-3501-3755
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Asnan FurintoLink to ORCID Index: https://orcid.org/0000-0002-2950-9666
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DOIhttp://dx.doi.org/10.21511/ppm.24(1).2026.07
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Article InfoVolume 24 2026, Issue #1, pp. 83-98
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Creative Commons Attribution 4.0 International License
Type of the article: Research Article
Abstract
This study investigates how networking capabilities shape collaborative engagement, healthcare ecosystem development, and stakeholder partnerships among local primary clinics in Indonesia, a sector facing persistent resource and connectivity constraints. Using a quantitative survey of 370 clinic managers across the archipelago, we applied partial least squares structural equation modelling (PLS-SEM) to test the hypothesized relationships. The findings reveal that networking capabilities significantly enhance collaborative engagement (β = 0.727, p < 0.001), strengthen the healthcare ecosystem (β = 0.677, p < 0.001), and improve stakeholder partnership effectiveness (β = 0.296, p < 0.001). Both collaborative engagement and healthcare ecosystem quality further contribute positively to partnership outcomes, with the model explaining 58.7% of the variance. The results conclude that primary clinics with stronger networking capabilities are more likely to integrate into broader healthcare ecosystems and build effective, trust-based stakeholder partnerships. In practical terms, this study highlights the importance of clinic managers investing in relationship-building, multisectoral collaboration, and knowledge-sharing platforms, while policymakers are encouraged to support these efforts through regulations and incentives that connect clinics to wider healthcare networks.
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- Keywords
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JEL Classification (Paper profile tab)L14, L26, L32, M31, O15
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References81
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Tables8
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Figures2
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- Figure 1. Study framework
- Figure 2. PLS-SEM results
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- Table 1. CMB
- Table 2. Outer loading validity value
- Table 3. Respondent demographics
- Table 4. Discriminant validity test based on HTMT
- Table 5. Hypotheses results
- Table 6. R² and F2
- Table 7. Predictive power (CVPAT)
- Table A1. Indicators of the variables
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