Ichwan Musa, Muh.
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BANKRUPTCY PREDICTION ANALYSIS USING THE GROVER AND OHLSON MODELS IN WOOD AND ITS MANAGEMENT SUB-SECTOR COMPANIES THAT ARE LISTED ON THE IDX Utami, Reni Restriani; Ichwan Musa, Muh.; Anwar, Anwar
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 1 No. 2 (2022): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (167.652 KB) | DOI: 10.54443/jaruda.v1i2.22

Abstract

This study aims to predict bankruptcy and also to find out the differences in predictions in timber sub-sector companies and their management during 2017-2021 using the Grover and Ohlson models. The type of research used is quantitative research with the research population being wood sub-sector companies and their management listed on the IDX. The sample in the study was PT. SLJ Global Tbk (SULI) and PT. Tirta Mahakam Resources Tbk (TIRT). Data analysis techniques use Grover and Ohlson models.The results showed that by using the Grover PT. SLJ Global Tbk (SULI) in 2018-2021 and PT. Tirta Mahakam Resources Tbk (TIRT) in 2019-2021 is predicted to go bankrupt. Ohlson's own model predicts that in 2017-2021 both companies go bankrupt. Mann Whitney's test results found that there was no difference in predicting the potential bankruptcy of SULI and TIRT using the Grover model with Ohlson.
Menganalisis Pengaruh Online Customer Review Terhadap Niat Beli Ulang Melalui Pendekatan SLR Nurfadillah; Wardhana Haeruddin, Muhammad Ilham; Ichwan Musa, Muh.; Riu, Isma Azis; Abadi, Rahmat Riwayat
Jurnal Ilmu Manajemen, Bisnis dan Ekonomi Vol 3 No 2 (2025)
Publisher : PT Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jimbe.v3i2.602

Abstract

This study examines the influence of online customer reviews (electronic word-of-mouth eWOM) on repurchase intention through a Systematic Literature Review (SLR) approach. The main objectives are (1) to identify the mechanisms by which online reviews influence repurchase intention, (2) to summarize empirical findings and meta-analyses related to review attributes (valence, volume, quality, credibility, helpfulness), (3) to map mediators (e.g., trust, satisfaction, perceived usefulness) and moderators (e.g., product type, platform, culture), and (4) to identify research gaps and managerial implications. The SLR results consistently demonstrate that online reviews have a significant impact on purchase decisions and repurchase intentionthe effect is mediated primarily by customer trust and satisfaction, and moderated by product type (search vs. experience), platform, and review attributes (text quality, helpfulness, and review variance). Theoretical implications and practical recommendations are presented for researchers and digital marketers.