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Financial Decision-Making in the Age of Artificial Intelligence: A Systematic Literature Review Muhammad Haris Saputra; Fitriati, Fitriaty
Indonesian Journal of Social Science Research Vol. 6 No. 2 (2025): Indonesian Journal of Social Science Research (IJSSR)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594//ijssr.06.02.29

Abstract

The development of artificial intelligence (AI) is fundamentally transforming how individuals, financial institutions, and regulators make financial decisions. In Indonesia, this transformation is visible in the use of AI for risk management, creditworthiness assessment, robo-advisory services, and the prediction of stock prices and indices. This article aims to systematically examine the role of AI in financial decision-making with a specific focus on the Indonesian context, combining national studies accredited in Sinta with international articles indexed in Scopus. The study employs a systematic literature review (SLR) of 20 articles published in recent years, including conceptual studies, systematic reviews, and empirical research based on market and customer data. The findings indicate that AI makes significant contributions in: (1) improving the accuracy of risk management and loss prediction, (2) expanding financial inclusion through innovative credit scoring schemes, (3) supporting investment decision-making via robo-advisors and capital market prediction models, and (4) shaping new, highly digital financial behaviours that nevertheless raise ethical, transparency, and algorithmic bias concerns. At the same time, there are challenges related to data quality, model transparency, consumer protection, and AI literacy among Indonesian financial actors.  
The Effectiveness of Price to Book Value in Classifying Value and Growth Stocks and Its Implications for Stock Returns in Indonesia Kurnia Permana; Muhammad Haris Saputra
Indonesian Journal of Social Science Research Vol. 6 No. 2 (2025): Indonesian Journal of Social Science Research (IJSSR)
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijssr.06.02.27

Abstract

The distinction between value stocks and growth stocks has long been a central topic in asset pricing and investment decision-making. The Price to Book Value (PBV) ratio is one of the most frequently used valuation metrics to determine whether a stock is undervalued (value) or overvalued (growth). However, empirical evidence in emerging markets, including Indonesia, remains inconclusive, particularly regarding the performance differences between value and growth stocks. This quantitative study employs secondary data from 72 companies listed on the Indonesia Stock Exchange (IDX) during the 2019–2024 period. PBV serves as the primary basis for classifying stocks, while ROE, DER, firm size, and stock returns are analyzed using descriptive statistics, independent-samples t-tests, and multiple regression analyses. The findings reveal that value stocks (low PBV) generate higher average returns than growth stocks (high PBV), with the difference being statistically significant (p < 0.05). Regression analysis shows that ROE has a positive and significant effect on PBV, while DER negatively affects PBV. Firm size exhibits no significant effect. These results confirm that PBV is an effective indicator for distinguishing between value and growth stocks in the Indonesian market. The study reinforces the relevance of the value premium and highlights the essential role of profitability and capital structure in determining firm valuation.
Co-Authors Aegisia Sukmawati Ahmad Nur Budi Utama Ajidirman , Ana Julita Andang Fazri Asep Machpudin Carissa Margaretha Cua, sandi Delya, Alsa Dwi Anggara, Agus Dwi Kurniawan Eddy Suratno Eddy Suratno Effiyaldi Elliyana, Dessy Erwita Dewi Fadillah, Yosi Fahdillah, Yosi Favian, Lucas Febby Nanda Utami Ferdinand, Felix Firmasari, Puja Fitri Chairunnisa Fitriati, Fitriaty Fitriaty Fitriaty, Fitriaty Geneva, Jessica Priscilla Guspianto Guspianto Hartiwi, Yessi Helena Chandra Wati Honey Virginia Icha Saswyta Manurung Irfan Hassandi Ivan Cristhian Ivori Gracia Simanjuntak Jimmy Fernando Kadar, Melani Kanaya Puspa Kirana Lie Kanaya Puspita Lie Kurnia Permana Kurnia Permana Laras Sabrina, Hanan Larissa, Luna Laila Lie, Kanaya Puspa Kirana Marcel Rivaldo Marcellino Christian Mardiana R Maryati Ningsih Maryati Ningsih Masgo Melisa Meri Yarni Mery Mira Gustiana Pangestu Moh Ihsan Musnaini Musnaini Musnaini Musnaini musnaini musnaini Narvanco, Youngken Nia Rahayu Nia Rahayu Nicholas Raymond Sentosa Permana, Kurnia Puja Firmasari R, Mardiana Rahman, Aldi Aulia Rama Dhonal Rista Aldilla Syafri ROBY SETIAWAN Rofi'i, Imam Salsa, Salsandra Jihan Saputra, Aldo Shofia Amin Sigit Indrajaya Sry Rosita Tan, Fiusdry Tio, Michael Tona Aurora Lubis Tona Aurora Lubis Usmayanti, Vivi Vania Fellicia Novella Vidyan Lim Vivi Usmayanti Wahya Iffa Lubis Widiatmoko, Agus Wiskandar , Yamir , Septi Novi Yap, Marybiet Yonatan, Terence Adi Yosi Fadillah yosi fahdillah Yossinomita Yulia Dwi Kartika Yuliana Yuliana Yuliusman Zhee Reylia Vauzan