http://www.journal.al-matani.com/index.php/ijisim/issue/feed 2025-07-08T20:14:33+07:00 Assoc. Prof. Dr. Astri Ayu Purwati, B.Sc., M.Sc ijisimjournal@gmail.com Open Journal Systems <p>International Journal of Information System and Innovation Management (IJISIM) is a scientific journal focuses on <strong>Information System, Innovation and Management Sciences.</strong> IJISIM is published under Yayasan Pendidikan Islam Al-Matani. IJISIM aims to publish original articles, whether in the form of theoretical studies, empirical studies, or practical studies. IJISIM is published <strong>two times a year (June and December). </strong>IJISIM invites papers on a wide range of topics, including the following (but not limited to these topics area) :</p> <p><strong>Information Systems:</strong> Includes but is not limited to database systems, artificial intelligence in information management, cloud computing technology and big data.</p> <p><strong>Business Management:</strong> How information systems can assist in business decision-making and how innovative management can influence business performance.</p> <p><strong>Social Aspects of Information Systems:</strong> The impact of information systems on individuals, groups or the broader society.</p> <p><strong>Policy &amp; Regulatory:</strong> Legal and ethical issues surrounding the use of information technology as well as governance and regulation.</p> http://www.journal.al-matani.com/index.php/ijisim/article/view/1439 2025-07-08T20:14:33+07:00 Yayu Kusdiana Yayu0677@gmail.com Ramadahniel Islami ramadahniel_islami@stie-mahaputra-riau.ac.id Nanda Suryadi nanda.suryadi@uinsuska.ac.id

<p style="font-weight: 400;"><em>This study aims to examine the direct effects of company size and sales growth on financial distress in food and beverage companies listed on the Indonesia Stock Exchange (IDX) for the period 2018-2022. The research adopts a quantitative approach, utilizing a sample of 235 observations drawn from a population of 84 companies within the food and beverage subsector. Secondary data from publicly available reports from the IDX was used for this analysis. The data were analyzed using the SmartPLS 3.0 model. The results indicate that company size does not significantly influence financial distress, and similarly, sales growth does not have a significant impact on financial distress.</em></p>

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