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Business Risk Momed in Banking Companies Listed On The Indonesia Stock Exchange With Digital Transformation on Financial Perfomance Razif, Muhammad; Masdupi, Erni
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 5 No. 1 (2026): Vol. 5 No. 1 2026
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v5i1.1049

Abstract

This study aims to analyze the impact of digital transformation on the financial performance of banking companies listed on the Indonesia Stock Exchange (IDX) from 2019 to 2023, with business risk as a mediator and moderator. A descriptive quantitative survey was implemented to collect data from annual reports of 229 banking companies. The data analysis utilized Structural Equation Modeling (SEM) with SmartPLS. The findings reveal that digital transformation positively influences financial performance, with business risk playing a significant mediating role in the relationship between digital transformation and financial performance. However, business risk did not moderate the effect of digital transformation on financial performance, as no significant interaction was found. These results emphasize the importance of managing business risk as a mediator to enhance the effectiveness of digital transformation in improving financial performance in the banking sector.
Impact of Big Data Analytics on Firm Risk in Financial Sector Companies Alazani, Rizka; Masdupi, Erni
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1417

Abstract

This study aims to examine the effect of Big Data Analytics on firm risk in financial sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period, with control variables including firm age, leverage, and Return on Assets. The study adopts an explanatory quantitative approach using an unbalanced panel dataset derived from annual reports and stock price data, comprising a total of 197 observations. Big Data Analytics is measured through content analysis, while firm risk is proxied by the standard deviation of daily stock returns. Data analysis is conducted using panel data regression with the Fixed Effect Model, which is further corrected using Generalized Least Squares to address heteroskedasticity issues, with the assistance of EViews 13 software. The results indicate that Big Data Analytics has a positive and significant effect on firm risk. This finding suggests that higher adoption of Big Data Analytics encourages firms to engage in more complex and aggressive strategic decision-making, which in turn increases performance volatility and overall risk exposure.
Impact of Big Data Analytics on Firm Risk in Financial Sector Companies Alazani, Rizka; Masdupi, Erni
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 2 (June 2026): Accepted
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i2.1417

Abstract

This study aims to examine the effect of Big Data Analytics on firm risk in financial sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period, with control variables including firm age, leverage, and Return on Assets. The study adopts an explanatory quantitative approach using an unbalanced panel dataset derived from annual reports and stock price data, comprising a total of 197 observations. Big Data Analytics is measured through content analysis, while firm risk is proxied by the standard deviation of daily stock returns. Data analysis is conducted using panel data regression with the Fixed Effect Model, which is further corrected using Generalized Least Squares to address heteroskedasticity issues, with the assistance of EViews 13 software. The results indicate that Big Data Analytics has a positive and significant effect on firm risk. This finding suggests that higher adoption of Big Data Analytics encourages firms to engage in more complex and aggressive strategic decision-making, which in turn increases performance volatility and overall risk exposure.
Tipe Industri dan Kinerja Perusahaan Industri Otomotif di BEI Farhan, Mhd Farhan Putra Tomewi; Erni Masdupi
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 5 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Mei - Juni 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i5.5084

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh (1) servitization terhadap kinerja perusahaan, (2) risiko operasional terhadap kinerja perusahaan, (3) tipe industri sebagai variabel moderasi antara servitization dan kinerja perusahaan, serta (4) tipe industri sebagai variabel moderasi antara risiko operasional dan kinerja perusahaan pada perusahaan manufaktur sektor industri otomotif yang terdaftar di Bursa Efek Indonesia selama periode 2019–2023. Penelitian ini menggunakan ukuran perusahaan sebagai variabel kontrol. Penentuan sampel dilakukan dengan metode purposive sampling berdasarkan kriteria tertentu, sehingga diperoleh 10 perusahaan dengan total 184 data observasi. Metode analisis yang digunakan adalah analisis analisis regresi moderasi dengan pendekatan regresi moderasi menggunakan program IBM SPSS. Hasil penelitian menunjukkan bahwa (1) servitization berpengaruh positif terhadap kinerja perusahaan, (2) risiko operasional berpengaruh negatif signifikan terhadap kinerja perusahaan, (3) tipe industri memoderasi hubungan antara servitization dan kinerja perusahaan, dan (4) tipe industri tidak memoderasi hubungan antara risiko operasional dan kinerja perusahaan. Temuan ini menekankan pentingnya strategi layanan dan pengelolaan risiko yang disesuaikan dengan karakteristik industri dalam meningkatkan kinerja perusahaan di sektor otomotif.
Industri 4.0 dan Kinerja Perusahaan Telekomunikasi yang Terdaftar di BEI Fazahra, Syafina; Masdupi, Erni
Jurnal Ekonomi Manajemen Sistem Informasi Vol. 6 No. 5 (2025): Jurnal Ekonomi Manajemen Sistem Informasi (Mei - Juni 2025)
Publisher : Dinasti Review

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/jemsi.v6i5.5085

Abstract

Currently, Indonesia as one of the developing countries, is gradually transitioning toward the adoption of technology in the era of Industry 4.0, as demonstrated by the government’s “Making Indonesia 4.0” program, which serves as an acceleration initiative to enter the industrial revolution era and aims to position Indonesia among the world’s top 10 economies by 2030. This highlights the importance of adapting to the industrial revolution in a dynamic business environment. This study aims to examine the influence of Industry 4.0 on firm performance with servitization and leverage as intervening variables in telecommunications companies listed on the Indonesia Stock Exchange. This is a quantitative study, and the sampling method used is non-probability sampling based on purposive sampling. The sample consists of 152 data points derived from telecommunications companies listed on the Indonesia Stock Exchange. Data analysis was conducted using path analysis with IBM SPSS Amos 21 software. The results of this study show that Industry 4.0 has a significant positive effect on firm performance and servitization, while servitization has a significant negative effect on firm performance. Industry 4.0 has a positive but not significant effect on leverage, and leverage also has no significant effect on firm performance. Servitization is able to mediate the relationship between Industry 4.0 and firm performance, whereas leverage does not.
The Effect Of Investment Knowledge, Investment Motivation and Technological Advancements On Student Investment Interest in the Capital Market Nailal Husna; Masdupi, Erni; Yanuarta, Ramel
JURNAL MANAJEMEN MOTIVASI Vol 22 No 1 (2026): Jurnal Manajemen Motivasi
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/jmm.v22i1.8606

Abstract

This study investigates the influence of investment knowledge, investment motivation, and technological advancement on students' investment interest in the capital market. The research involved 116 students from the Faculty of Economics and Business at Bung Hatta University. Data were analyzed using multiple linear regression via Stata 17. The findings show that all three variables significantly and positively affect investment interest. These results imply the importance of enhancing students' financial education and leveraging technological tools to foster early investment behavior. Keywords: Investment Knowledge, Investment Motivation, Technological Advancement, Investment Interest, Capital Market, Student Behavior, Financial Education, Regression Analysis