From Learning to Performance: The Strategic Role of Knowledge Management in Indonesian Universities

DOI:

https://doi.org/10.58421/misro.v5i2.1308

Authors

  • Suci Putri Lestari Universitas Pendidikan Indonesia
  • Vanessa Gaffar Universitas Pendidikan Indonesia
  • Lili Adi Wibowo Universitas Pendidikan Indonesia
  • Alfira Sofia Universitas Pendidikan Indonesia

Keywords:

Higher Education, Knowledge Management Strategy, Learning Organization, PLS-SEM, University Performance

Abstract

Higher education institutions in developing countries face persistent challenges in enhancing institutional performance amid rapid digital transformation, yet the mechanisms through which organizational learning and knowledge management contribute to performance outcomes remain underexplored in the Indonesian context. This study aims to: (1) analyze the effect of the learning organization on knowledge management strategy; (2) examine the influence of knowledge management strategy on university performance; and (3) investigate the direct effect of the learning organization on university performance at universities in Eastern Priangan, Indonesia. A quantitative cross-sectional survey design was employed, involving 420 academic and administrative staff selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with WarpPLS 7.0 software. The results demonstrate that the learning organization exerts a strong and significant positive effect on knowledge management strategy (β = 0.899, p < 0.001, R² = 0.807) and on university performance (β = 0.521, p < 0.001). Knowledge management strategy also significantly influences university performance (β = 0.412, p < 0.001), with the combined model explaining 75.6% of the variance in performance outcomes (R² = 0.756). These findings confirm that an organizational learning culture is a critical antecedent to the development of effective knowledge management systems, which, in turn, drive improvements in academic quality, research productivity, and institutional governance. This study enriches the learning organization literature in the Indonesian higher education context and provides practical implications for university leaders in designing sustainable institutional development strategies.

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References

M. Alavi and D. E. Leidner, "Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues," MIS Quarterly, 25(1), 107–136. https://doi.org/10.2307/3250961

P. G. Altbach and H. de Wit, "The new global landscape of international higher education," International Higher Education, 100, 2–4. https://doi.org/10.6017/ihe.2019.100.10943

J. Barney, "Firm resources and sustained competitive advantage," Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Becker, J.-M., Cheah, J.-H., Gholamzade, R., Ringle, C. M., & Sarstedt, M. (2023). PLS-SEM's most wanted guidance. International Journal of Contemporary Hospitality Management, 35(1), 321–346. https://doi.org/10.1108/IJCHM-04-2022-0474

T. H. V. Cao, D. S. Chai, L. P. Nguyen, H. T. H. Nguyen, C. S. Han, and S. Park, "Learning organization and employee performance: The mediating role of job satisfaction in the Vietnamese context," The Learning Organization: An International Journal, 32(7), 53–73. https://doi.org/10.1108/TLO-09-2023-0177

M. Cheng, "Knowledge management in higher education: A literature review and research agenda," Journal of Information & Knowledge Management, 19(4), 1–23. https://doi.org/10.1142/S0219649220500318

W. W. Chin, "The partial least squares approach to structural equation modeling," in Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

J. Cohen, Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

J. W. Creswell and J. D. Creswell, Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

S. Demir and M. Uşak, "Analyzing the implementation of PLS-SEM in educational technology research: A review of the past 10 years," SAGE Open, 15(1). https://doi.org/10.1177/21582440251345950

M. J. Donate and J. D. Sánchez de Pablo, "The role of knowledge-oriented leadership in knowledge management practices and innovation," Journal of Business Research, 68(2), 360–370. https://doi.org/10.1016/j.jbusres.2014.06.022

R. Dovleac and I. Cărămidaru, "Impact of knowledge management strategies on academic performance in the context of the transition to Education 4.0," Research and Education, 8, 41–68. https://doi.org/10.56177/red.8.2023.art.2

Escorcia Guzmán, J., & Barros Arrieta, D. (2020). Knowledge management in higher education institutions: Characterization from a theoretical review. Revista de Ciencias Sociales, 26(3), 83–97. https://doi.org/10.31876/rcs.v26i3.33235

C. Fornell and D. F. Larcker, "Evaluating structural equation models with unobservable variables and measurement error," Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

M. Ghasemy, V. Teeroovengadum, J.-M. Becker, and C. M. Ringle, "This fast car can move faster: A review of PLS-SEM application in higher education research," Higher Education, 80, 1121–1152. https://doi.org/10.1007/s10734-020-00534-1

J. Guthrie, F. Manes-Rossi, R. Levy Orelli, and V. Sforza, "Performance management and measurement impacts on universities: (Re)viewing the past, present and future," Journal of Public Budgeting, Accounting & Financial Management, 36(6), 1–25. https://doi.org/10.1108/JPBAFM-10-2023-0176

J. F. Hair, J. J. Risher, M. Sarstedt, and C. M. Ringle, "When to use and how to report the results of PLS-SEM," European Business Review, 31(2), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

J. F. Hair, G. T. M. Hult, C. M. Ringle, and M. Sarstedt, A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.

J. F. Hair, M. Sarstedt, C. M. Ringle, P. N. Sharma, and B. D. Liengaard, "Going beyond the untold facts in PLS-SEM and moving forward," European Journal of Marketing, 58(13), 81–106. https://doi.org/10.1108/EJM-08-2023-0645

J. Henseler, C. M. Ringle, and R. R. Sinkovics, "The use of partial least squares path modeling in international marketing," in Advances in international marketing (Vol. 20, pp. 277–319). Emerald Group Publishing. https://doi.org/10.1108/S1474-7979(2009)0000020014

J. Henseler, C. M. Ringle, and M. Sarstedt, "A new criterion for assessing discriminant validity in variance-based structural equation modeling," Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

b] J. Henseler et al., "Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013)," Organizational Research Methods, 17(2), 182–209. https://doi.org/10.1177/1094428114526928

L. T. Hu and P. M. Bentler, "Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives," Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Y. Horban, "Knowledge management in higher education," EUREKA: Social and Humanities, 3, 3–11. https://doi.org/10.21303/2504-5571.2021.001819

N. Hussein, A. Mohamad, F. Noordin, and N. A. Ishak, "Learning organization and its effect on organizational performance and organizational innovativeness," Procedia Economics and Finance, 37, 102–108. https://doi.org/10.1016/S2212-5671(16)30098-8

Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617–1643. https://doi.org/10.1080/09585192.2017.1416655

V. J. Marsick and K. E. Watkins, Informal and incidental learning in the workplace (2nd ed.). Routledge. https://doi.org/10.4324/9781315441962

"Partial least squares structural equation modeling (PLS-SEM) in higher education research," New Review of Information Networking, 29(1-2). https://doi.org/10.1080/13614576.2025.2499748

I. Nonaka and H. Takeuchi, The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.

D. Rad and M. Bocoș, "Advancements in learning organizations: A comprehensive narrative review," Revista Romaneasca Pentru Educatie Multidimensionala, 16(2), 418–446. https://doi.org/10.18662/rrem/16.2/865

M. Sarstedt, C. M. Ringle, and J. F. Hair, "Partial least squares structural equation modeling," in Handbook of market research (2nd ed., pp. 587–632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15

P. M. Senge, The fifth discipline: The art and practice of the learning organization (Revised ed.). Currency Doubleday.

K. E. Watkins and V. J. Marsick, "Dimensions of the learning organization questionnaire (DLOQ): Introduction and overview," in Improving learning transfer in organizations (pp. 117–142). John Wiley & Sons. https://doi.org/10.1002/9781119455455.ch6

M. H. Zerafati and R. Hosseinpour, "Knowledge management in higher education: A meta-synthesis of success factors, challenges, and implementation strategies," Strategic Management of Organizational Knowledge, 7(4), 63–90. https://doi.org/10.47176/smok.2024.1792

Education Dynamics, "Key performance indicators that matter in 2024," 2024. [Online]. Available: https://www.educationdynamics.com/key-performance-indicators-that-matter/

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Published

2026-06-24

How to Cite

[1]
S. P. Lestari, V. Gaffar, L. A. Wibowo, and A. Sofia, “From Learning to Performance: The Strategic Role of Knowledge Management in Indonesian Universities”, J.Math.Instr.Soc.Res.Opin., vol. 5, no. 2, pp. 1851–1864, Jun. 2026.

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