International Journal of Research and Innovation in Applied Science (IJRIAS)
Bank Reputation on the Indonesia Stock Exchange
Published July 21, 2026 • Vol. 11, Issue 6, pp. 4195–4205Open Access
DOI: 10.51584/IJRIAS.2026.11060315
Abstract
Reputation is a good topic to be discussed, especially in Indonesia. This research aims to explore factors affecting Reputation on the publicly listed Banks on the Indonesia Stock Exchange for the period 2015 to 2025. This research used the Fixed Effect Model to select a good model using the Hausman test. The finding is that the variable of Technology Information is positively significant in affecting reputation. The Variable of Leadership is also significantly negatively affected by reputation. A Value company is measured by Tobin's Q positively significant to affect reputation. COVID-19 is positively significant to affect reputation.
Keywords: Reputation, Trust, Leadership, Loan-to-Deposits Ratio, Tobin’s Q, Technology Information, and Size.
| Journal | International Journal of Research and Innovation in Applied Science (IJRIAS) |
|---|---|
| ISSN | 2454-6194 |
| Volume / Issue | Volume 11, Issue 6 |
| Pages | 4195–4205 |
| Publication date | July 21, 2026 |
| DOI | 10.51584/IJRIAS.2026.11060315 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Adler Haymans Manurung, Dovina Navanti, Ari Sulistyowati, & Dewi Sri Woelandari Pantjolo Giningroem (2026). Bank Reputation on the Indonesia Stock Exchange. International Journal of Research and Innovation in Applied Science (IJRIAS), 11(6), 4195-4205. https://doi.org/10.51584/IJRIAS.2026.11060315
BibTeX
@article{Adler2026,
title = {Bank Reputation on the Indonesia Stock Exchange},
author = {Adler Haymans Manurung and Dovina Navanti and Ari Sulistyowati and Dewi Sri Woelandari Pantjolo Giningroem},
journal = {International Journal of Research and Innovation in Applied Science (IJRIAS)},
volume = {11},
number = {6},
pages = {4195--4205},
year = {2026},
doi = {10.51584/IJRIAS.2026.11060315},
publisher = {RSIS International}
}