Risk tolerance, risk propensity, and risk practice on state-owned enterprise bank in indonesia. Pelajari pengaruh toleransi, kecenderungan, dan praktik risiko terhadap kinerja keuangan Bank BUMN di Indonesia. Temukan bagaimana toleransi risiko memediasi kecenderungan & praktik, meningkatkan performa.
Tujuan dari penelitian ini untuk mengetahui pengaruh risk tolerance, risk propensity, dan risk practices terhadap kinerja keuangan pada Bank BUMN di Indonesia. Metode Penelitian adalah analisis SEM (Structural Equation Models). Sampel pada penelitian ini adalah pegawai Bank BUMN. Teknik pengambilan sampel dalam penelitian ini menggunakan purposive sampling. Metode ini menggunakan kriteria tertentu untuk memilih responden, kriterianya adalah seluruh staf dari bagian kredit, Komite Manajemen Kredit dari Bank BUMN. Data diperoleh melalui penyebaran kuesioner dengan skala likert dan dari laporan keuangan tahunan. Hasil penelitian ini menunjukkan bahwa risk tolerance berpengaruh positif terhadap risk propensity, semakin tinggi risk tolerance maka semakin tinggi juga risk propensity. Risk propensity berpengaruh signifikan terhadap risk Practices. Risk tolerance tidak berpengaruh secara langsung terhasap risk practices tetapi harus melalui variabel perantara (mediating) yaitu variabel risk propensity. Artinya, semakin meningkat toleransi resiko, risk propensity semakin meningkat, praktek resiko akan semakin meningkat juga, otomatis kinerja keuangan akan meningkat. Bagi manejemen toleransi ini dapat dijadikan sebagai bahan pertimbangan dalam mengambil keputusan untuk Perusahaan, semakin tinggi risk tolerance, maka semakin tinggi juga kecenderungan manejer untuk mengambil risiko, sehingga kinerja perusahaan akan meningkat. Kata kunci: toleransi resiko, kecenderungan resiko, praktek resiko, Bank BUMN, kinerja keuangan
This study offers a timely and relevant exploration into the intricate relationships between risk tolerance, risk propensity, risk practices, and financial performance within Indonesia's State-Owned Banks (BUMN). By investigating these factors, the research contributes to understanding how individual and collective risk attitudes translate into tangible organizational practices and ultimately influence financial outcomes in a critical sector. The application of Structural Equation Modeling (SEM) is an appropriate methodological choice for dissecting these multi-faceted relationships, making the research design sound for its stated objectives. Overall, the paper addresses an important gap in the literature regarding risk dynamics in specific institutional contexts, particularly within emerging economies. One of the significant strengths of this research lies in its robust methodological approach and the strategic sampling technique. The use of SEM allows for a sophisticated analysis of direct and indirect effects, particularly revealing the mediating role of risk propensity between risk tolerance and risk practices. Furthermore, the purposive sampling focused on credit department staff and the Credit Management Committee ensures that data is gathered from key personnel directly involved in the bank's risk-taking activities, thereby enhancing the practical relevance and validity of the findings for decision-makers. The conclusion that increased risk tolerance, mediated by risk propensity, leads to enhanced risk practices and subsequently improved financial performance provides a compelling, actionable insight for management aiming to optimize performance within the unique environment of Indonesian BUMN banks. Despite its strengths, the study has certain limitations that warrant consideration. While purposive sampling is effective for specific insights, focusing solely on a subset of employees within BUMN banks may limit the generalizability of the findings to the broader banking sector or other departments. Future research could benefit from a wider sample across different types of banks or diverse functional areas to enhance external validity. Additionally, while the abstract indicates a link to "financial performance," it would be beneficial to specify the exact metrics (e.g., ROA, ROE, NPL ratios) utilized, which would allow for better comparison and replication. Finally, the strong implication that higher risk-taking automatically improves financial performance could be further nuanced by considering potential moderating factors such as the quality of risk governance or the regulatory environment, as excessive risk can also lead to detrimental outcomes. Incorporating these considerations could provide a more comprehensive understanding of the complex risk-performance nexus.
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