DEDEN KOMAR PRIATNA,ANNISA FITRI ANGGRAENI,NANDAN LIMAKRISNA,DWIPO SETYANTORO,PRISKILLA ASTER TIMBOGOL
DOI: https://doi.org/This study aims to develop a model for integrating Knowledge Management Systems (KMS) with Transactive Memory Systems (TMS) to enhance Intellectual Capital in higher education institutions. A quantitative approach was employed using the Partial Least Squares–Structural Equation Modeling (PLS-SEM) method via the SmartPLS 2024 software, supported by primary data from surveys and in-depth interviews at 11 universities. The results of the outer model analysis indicate that all KMS and TMS indicators meet the criteria for convergent and discriminant validity, with Composite Reliability and Average Variance Extracted values above the minimum threshold. The inner model analysis revealed that TMS has a positive and significant effect on KMS (β = 0.288; t
= 4.046; p < 0.001), which further contributes to the enhancement of organizational Intellectual Capital. Contextual findings indicate that although KMS platforms are available at universities, integration with the TMS approach is not yet optimal, individual expertise mapping is not yet structured, internal-external coordination in the utilization of faculty expertise is still limited, and the integration of Tridharma activities and the Merdeka Belajar program is not yet facilitated by a centralized system. This study contributes theoretically by offering a KMS–TMS integration model that can strengthen institutional intellectual assets, as well as practical implications for university administrators in designing more collaborative, structured, and integrated policies a nd systems.
