Radityo Fajar Arianto
Universitas Pelita Harapan, Indonesia

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Exploring Bank Value Through ESG and Ownership Structure with NPL as a Mediating Variable in a Climate-Conscious Context Apriani Simatupang; Radityo Fajar Arianto; Arief Adi Wibowo
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 4 (2025): JIMKES Edisi Juli 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i4.3580

Abstract

This study aims to analyze the influence of Environmental, Social, and Governance (ESG) and ownership structure on bank value, with Non-Performing Loans (NPLs) as a mediating variable, in the context of climate-conscious banking in Indonesia. A quantitative approach was used with panel data from 10 banks listed on the Indonesia Stock Exchange (IDX) during the period 2015–2024. The analysis was conducted using panel data regression and mediation tests. The results show that ownership structure has a significant positive effect on bank value, both directly and indirectly through a decrease in NPLs. This finding confirms that NPLs have a strong negative effect on bank value (measured by Price to Book Value/PBV) and act as a partial mediator. Conversely, ESG factors have no significant effect on NPLs or PBV, indicating that ESG implementation in Indonesian banks is still symbolic and has not yet had a tangible impact. The implications of this study are the importance of strengthening governance and risk management through ownership oversight, as well as the need for more concrete ESG implementation to improve the performance and long-term resilience of the banking sector.
Patient Perceptions and Trust in Artificial Intelligence for Radiology Services: Evidence from Indriati Solo Baru Hospital Devanti Octavia Ellyamurti; Radityo Fajar Arianto
Jurnal Ilmiah Manajemen Kesatuan Vol. 13 No. 6 (2025): JIMKES Edisi November 2025
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v13i6.4315

Abstract

Artificial Intelligence (AI) has emerged as a transformative innovation in radiology, offering faster and more accurate diagnostic capabilities. However, patient acceptance and trust remain critical challenges that influence its successful implementation. This study aims to analyze the factors influencing patients’ perceptions and trust in the use of AI in radiology services at Indriati Hospital Solo Baru. This study uses a quantitative survey design with a cross-sectional approach and involves 153 respondents who underwent AI-based MRI examinations. Data was collected using a Likert-scale questionnaire with purposive sampling and analyzed using the Partial Least Squares-Structural Equation Modelling (PLS-SEM) method. The analysis results show that trust, efficiency, and being informed have a positive influence on perceived usefulness and perceived ease of use. Additionally, perceived usefulness and perceived ease of use increase the intention to use AI in radiology. The variables of transparency, data security, and privacy were also proven to strengthen the influence of trust on the intention to use AI in radiology. This finding confirms that benefits, convenience, trust, and assurances of transparency and data security significantly influence patient acceptance of AI.