An ESG-Oriented Sustainable Business Model for Paint Industry Supply Chain in Indonesia
Abstract
:1. Introduction
2. Literature Review
2.1. ESG Principles and the Theoretical Foundations
2.2. Supply Chain Management in Paints Industry
2.3. The Role of ESG in Supply Chain Management
2.4. Linking ESG Dimensions to Supply Chain Outcomes
2.5. Sustainability Business Model
2.6. Research Gaps and Theoretical Contributions
3. Research Framework and Hypothesis Development
3.1. Research Framework
3.2. Hypothesis Development
4. Materials and Methods
4.1. Research Design
4.2. Research Location and Time
4.3. Sampling and Data Collection Technique
4.4. Data Analysis
4.4.1. Qualitative Method
4.4.2. SEM Analysis
4.4.3. Outer Model Analysis
4.4.4. Inner Model Evaluation
5. Results
5.1. Descriptive Analysis
5.2. Qualitative Analysis
5.3. Evaluation of SEM PLS Model
5.4. Evaluation of Structural Model
5.5. Hypothesis Testing Results
5.5.1. Corporate Governance Influences Economic Performance
5.5.2. Corporate Governance Influences Environmental Performance
5.5.3. Corporate Governance Influences Social Performance
5.5.4. Environmental Performance Influences Economic Performance
5.5.5. Social Performance Influences Economic Performance
5.5.6. Social Performance Influences Environmental Performance
6. Discussion
6.1. Addressing Research Gaps
6.2. Implementing ESG in Paints Industry Supply Chain
6.3. Research Implication
- Theoretical Contributions
- 2.
- Managerial Implications
- 3.
- Policy and Regulatory Implications
6.4. Limitations and Future Research Directions
7. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Type of Paints | Capacity | Demand | Utilization |
---|---|---|---|
(MT/Year) | (MT/Year) | % | |
Decorative paints | 1,129,500 | 972,040 | 86.0 |
MOPC | 126,000 | 116,323 | 92.3 |
Automotive | 97,500 | 116,324 | 119.3 |
Wood | 15,000 | 14,708 | 98.0 |
Others | 132,000 | 118,998 | 90.1 |
Variables | Indicators | Source | Measurement |
---|---|---|---|
Corporate Governance (X1) |
| [10,39,41,62] | 1: Strongly Disagree 2: Disagree 3: Neutral 4: Agree 5: Strongly Agree |
Social performance (Y1) |
| [9,10,57] | 1: Strongly Disagree 2: Disagree 3: Neutral 4: Agree 5: Strongly Agree |
Environmental performance (Y2) |
| [9,10,54,69,70] | 1: Strongly Disagree 2: Disagree 3: Neutral 4: Agree 5: Strongly Agree |
Economic performance (Y3) |
| [9,10] | 1: Strongly Disagree 2: Disagree 3: Neutral 4: Agree 5: Strongly Agree |
Variables | Cronbach’s Alpha | Composite Reliability | Average Variance Extracted (AVE) |
---|---|---|---|
X1 Governance | 0.829 | 0.886 | 0.660 |
Y1 Social | 0.834 | 0.889 | 0.668 |
Y2 Environment | 0.876 | 0.907 | 0.619 |
Y3 Economic | 0.735 | 0.850 | 0.653 |
Latent Variable | Measurable Variable | Outer Loading Value |
---|---|---|
X1 Governance Performance | CGP1 Comply with regulation CGP2 Comply with standard CGP3 Transparency of products CGP4 Clear target to reduce impact | 0.807 0.825 0.798 0.820 |
Y1 Social Performance | SOC1 Health & Safety Compliance SOC2 Sustainability promotion SOC3 Education to consumers SOC4 Supply sustainability | 0.831 0.825 0.828 0.783 |
Y2 Environment Performance | ENV1 Emission ENV2 Volatile organic compound ENV3 Water-based product ENV4 Waste minimization ENV5 Energy efficiency ENV6 Water efficiency | 0.793 0.735 0.787 0.718 0.856 0.823 |
Y3 Economic Performance | ECP1 Profit margin ECP2 Green product demand ECP3 Technology Investment | 0.804 0.829 0.792 |
Variables | R-Square |
---|---|
Y1 (Social Performance) | 0.826 |
Y2 (Environmental Performance) | 0.684 |
Y3 (Economic Performance) | 0.639 |
Variables | Original Sample | Sample Mean | Standard Deviation | T Statistic | p Values |
---|---|---|---|---|---|
Corporate governance → economic performance | 0.271 | 0.269 | 0.076 | 3.579 | 0.000 |
Corporate governance → environmental performance | 0.369 | 0.367 | 0.078 | 4.712 | 0.000 |
Corporate governance → social performance | 0.8799 | 0.801 | 0.031 | 25.898 | 0.000 |
Environment performance → economic performance | 0.291 | 0.291 | 0.070 | 4.177 | 0.000 |
Social performance → economic performance | 0.416 | 0.418 | 0.081 | 5.142 | 0.000 |
Social performance → environmental performance | 0.502 | 0.504 | 0.080 | 6.249 | 0.000 |
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Pujiyono, R.; Marimin; Suroso, A.I.; Djohar, S. An ESG-Oriented Sustainable Business Model for Paint Industry Supply Chain in Indonesia. Sustainability 2025, 17, 3741. https://doi.org/10.3390/su17083741
Pujiyono R, Marimin, Suroso AI, Djohar S. An ESG-Oriented Sustainable Business Model for Paint Industry Supply Chain in Indonesia. Sustainability. 2025; 17(8):3741. https://doi.org/10.3390/su17083741
Chicago/Turabian StylePujiyono, Raden, Marimin, Arif Imam Suroso, and Setiadi Djohar. 2025. "An ESG-Oriented Sustainable Business Model for Paint Industry Supply Chain in Indonesia" Sustainability 17, no. 8: 3741. https://doi.org/10.3390/su17083741
APA StylePujiyono, R., Marimin, Suroso, A. I., & Djohar, S. (2025). An ESG-Oriented Sustainable Business Model for Paint Industry Supply Chain in Indonesia. Sustainability, 17(8), 3741. https://doi.org/10.3390/su17083741