MODEL EVALUASI KEBERLANJUTAN SUMBER DAYA NGO MELALUI INTEGRASI PROSES INTERNAL DAN STRATEGI PEMASARAN EKSTERNAL (STUDI PADA MARVIN FOUNDATION)

Authors

  • Putri Aysah Qalbi Institut Teknologi Sumatera (ITERA)
  • Mahruri Arif Wicaksono Institut Teknologi Sumatera (ITERA)
  • Frieska Ariesta Syafnijal Institut Teknologi Sumatera (ITERA)
  • Musaddad Alfani Institut Teknologi Sumatera (ITERA)

DOI:

https://doi.org/10.33884/jrsi.v11i2.11559

Keywords:

resource sustainability, non-profit organization, internal process integration, external marketing strategy, PLS-SEM

Abstract

This study aims to develop and empirically test a resource sustainability evaluation model for non-profit organizations based on an industrial management system perspective by integrating internal process integration and external marketing strategy. The object of this study is the Marvin Foundation, with respondents consisting of donors, active volunteers, and organizational partners. The study employs an explanatory quantitative approach with a cross-sectional survey design and purposive sampling technique, involving 100 respondents. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with the assistance of SmartPLS software. The results indicate that internal process integration has a positive and significant effect on resource sustainability, with a path coefficient of 0.420, while external marketing strategy also shows a positive and significant effect, with a coefficient of 0.360. The coefficient of determination (R²) of 0.580 suggests that the model has moderate to substantial explanatory power. Furthermore, the predictive relevance value (Q²) of 0.34 indicates that the model possesses good predictive capability. These findings highlight that resource sustainability in non-profit organizations is not solely determined by external factors but is strongly influenced by the integration of internal organizational processes. This study contributes to the development of a resource sustainability evaluation model based on an industrial management system approach and provides practical implications for improving organizational effectiveness and long-term sustainability.

References

L. M. Salamon and H. K. Anheier, The Emerging Nonprofit Sector: An Overview. Manchester, UK: Manchester University Press, 1997.

P. Kotler and K. L. Keller, Marketing Management, 15th ed. Harlow, UK: Pearson Education, 2016.

A. R. Andreasen and P. Kotler, Strategic Marketing for Nonprofit Organizations, 7th ed. Upper Saddle River, NJ, USA: Prentice Hall, 2008.

J. P. Womack and D. T. Jones, Lean Thinking: Banish Waste and Create Wealth in Your Corporation. New York, NY, USA: Free Press, 2003.

M. L. George, Lean Six Sigma: Combining Six Sigma Quality with Lean Production Speed. New York, NY, USA: McGraw-Hill, 2002.

R. S. Kaplan and D. P. Norton, The Balanced Scorecard: Translating Strategy into Action. Boston, MA, USA: Harvard Business School Press, 1996.

M. Hammer and J. Champy, Reengineering the Corporation: A Manifesto for Business Revolution. New York, NY, USA: Harper Business, 1993.

J. C. Alexander, The Performance of Nonprofit Organizations: Efficiency, Effectiveness, and Accountability. New York, NY, USA: Routledge, 2000.

D. Young, Financing Nonprofits: Putting Theory into Practice. Lanham, MD, USA: Rowman & Littlefield, 2007.

E. T. Boris and C. E. Steuerle, Nonprofits and Government: Collaboration and Conflict. Washington, DC, USA: Urban Institute Press, 2006.

J. F. Hair Jr., G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. Thousand Oaks, CA, USA: Sage Publications, 2017.

Robert S. Kaplan and David P. Norton, “The Balanced Scorecard—Measures That Drive Performance,” Harvard Business Review, vol. 70, no. 1, pp. 71–79, 1992.

Philip Kotler and Kevin Lane Keller, Marketing Management, 15th ed. Harlow, UK: Pearson Education, 2016.

Joseph F. Hair Jr., G. Tomas M. Hult, Christian M. Ringle, and Marko Sarstedt, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed. Thousand Oaks, CA, USA: SAGE Publications, 2017.

James F. Hair Jr., William C. Black, Barry J. Babin, and Rolph E. Anderson, Multivariate Data Analysis, 7th ed. Upper Saddle River, NJ, USA: Pearson Prentice Hall, 2010.

Published

2026-05-30

Issue

Section

Articles