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Systematic Literature Review Journal
ISSN : 30895162     EISSN : 3089428X     DOI : https://doi.org/10.70062/slrj.v1i1
Systematic Literature Review Journal (SLRJ) is an academic journal published by IFREL, focusing on the publication of research findings derived from Systematic Literature Reviews (SLR). This journal provides a platform to showcase research that incorporates SLR methodologies across various disciplines, including computer science, technology, healthcare, education, and social sciences. Mission and Focus SLRJ aims to be a platform that unites diverse studies employing systematic and methodological literature reviews. The journal highlights the importance of objective processes for searching, selecting, and analyzing literature while contributing to identifying research gaps, key trends, and areas requiring further study. Objectives of SLRJ: Provide a platform for researchers to publish findings from systematic literature reviews in their respective fields. Enhance understanding of trends and patterns in existing scientific research. Serve as an essential reference for researchers, academics, and practitioners seeking comprehensive information on specific topics. Topics Covered SLRJ covers a wide range of topics related to SLR methodologies, including but not limited to: Cybersecurity Systems Artificial Intelligence and Machine Learning Information and Technology Management Healthcare and Medical Sciences Education and Curriculum Development Technological Advancements and Innovation Social Sciences and Psychology Submission and Review Process Articles submitted to SLRJ must adhere to high standards in terms of SLR methodology and critical analysis of the existing literature. The journal ensures a transparent and objective review process, guaranteeing the publication of only high-quality research. Each accepted article undergoes a rigorous peer-review process to ensure its validity, quality, and contribution to its respective field.
Arjuna Subject : Umum - Umum
Articles 26 Documents
The Effect of Financial Performance on Stock Prices in Food and Beverage Manufacturing Companies Listed on the Indonesia Stock Exchange Riyan, Riyan Dika Pratama; Dika Pratama, Riyan; Setiawan sapitra, Ade; Rasita, Elya
Systematic Literature Review Journal Vol. 1 No. 2 (2025): April : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i2.201

Abstract

Using the Systematic Literature Review (SLR) method, the purpose of this study is to investigate the effect of financial performance on the stock prices of food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The financial performance factors analyzed include Return on Assets (ROA), Current Ratio (CR), Debt to Equity Ratio (DER), and Return on Investment (ROI). Data were collected from fifteen nationally accredited scientific articles published during the period and were eligible for inclusion. The results show that Return on Assets (ROA) consistently has a positive effect on stock prices, making it the most important indicator to attract investors. Since investors prioritize profitability over short-term liquidity, Current Ratio (CR) is usually not very influential. Debt to Equity Ratio (DER) results vary depending on the debt condition of companies and their financial plans. However, Return on Investment (ROI), which has not been studied much, seems to have a significant impact on stock prices and is starting to attract the attention of investors in the food and beverage industry. This study helps by providing a comprehensive picture of the pattern of influence of financial ratios on stock prices and complements the shortcomings of current research, especially regarding the ROI variable which is still minimal in previous studies. It is hoped that these findings will help investors, company management, academics, and regulators make decisions and create investment strategies in the Indonesian capital market.
Determinan Earnings Response Coefficient (ERC) Ramadhanti, Ella; Mutiara, Intan; Syafadan, Ayu
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.202

Abstract

This study examines the Earnings Response Coefficient (ERC) as an indicator of market reaction to earnings announcements, focusing on several determining factors: Corporate Social Responsibility (CSR), financial distress, corporate growth, firm size, and earnings persistence. The primary issue addressed is the inconsistency of previous empirical findings regarding the influence of these factors on ERC, which motivates this study to reassess these relationships through a Systematic Literature Review (SLR) approach. The SLR method was employed to systematically collect, analyze, and synthesize evidence from prior studies to obtain a more comprehensive understanding. The findings reveal that CSR and earnings persistence produce mixed results—some studies show positive, negative, or insignificant effects on ERC—reflecting contextual differences and variations in investor perceptions. Meanwhile, financial distress and firm size generally have a significant positive impact on ERC, suggesting that larger firms and those perceived as financially stable are more likely to receive stronger market reactions. Corporate growth, on the other hand, mostly shows no significant effect. The synthesis highlights that the relationship between these factors and ERC is context-dependent, influenced by company characteristics and the level of information transparency provided to investors. This study concludes by emphasizing the need for a more integrative and contextual approach in analyzing the determinants of ERC and recommends further research to deepen understanding of how market responses to earnings information are shaped by these factors.
The effects of dividend policy, firm size, and green accounting on company value Salsabila, Zahra; Novita Fitrah Ramadani; Wega Azizah
Systematic Literature Review Journal Vol. 1 No. 2 (2025): April : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i2.206

Abstract

The Indonesian manufacturing industry is currently facing intense pressure due to global economic fluctuations and domestic volatility, prompting a strategic reassessment of sustainability practices to maintain competitiveness. While firm value reflects investor confidence, discrepancies remain between operational performance and market valuation, particularly in highly profitable firms. This study aims to systematically investigate how internal corporate factors namely dividend policy, firm size, and green accounting influence firm value. Using a Systematic Literature Review (SLR) method, ten journal articles published between 2023 and 2025 were selected based on indexation (SINTA, Scopus, Copernicus), methodological clarity, and variable alignment. The articles were screened and analyzed using content analysis techniques, supported by Microsoft Excel and Mendeley for structured data extraction. The findings reveal that a stable dividend policy serves as a strong signal of financial stability, firm size reinforces strategic positioning and resource capacity, and green accounting strengthens legitimacy through sustainability disclosure. These factors jointly shape market perceptions and ultimately influence firm valuation. The synthesis supports both signal theory and legitimacy theory in explaining the transmission of value through internal policies. This study contributes theoretically by integrating financial and sustainability variables into a unified value framework and offers practical insights for corporate decision-makers seeking to align internal strategies with investor expectations. Limitations include reliance on secondary data and scope restricted to the manufacturing sector. Future studies should explore empirical validation through cross-sectoral analysis and primary data to enrich the findings.
Factors Influencing Investment Decisions Oktryani, Selvita; Trian Sandi Putra, Bayu; Agung Lestari, Muhammad
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.208

Abstract

A single paragraph, maximum 250 words. Abstract content must contain (1) an overview of the object This study aims to identify and analyze various behavioral finance factors that influence investment decisions, especially among the younger generation and individuals who invest. The method used is the Systematic Literature Review (SLR) with data sources from Google Scholar in the period 2020 to 2024. The focus of this study is on factors such as regret aversion, mental accounting, illusion of control, and overconfidence. The results of research from various journals show that these psychological factors have a significant, although varying, influence on investment decisions. Some studies confirm the strong influence of these factors, while others provide different results. Therefore, it is very important for investors and policy makers to understand these dynamics in order to improve the quality of investment decision making.
Determinants of Firm Value Nurdianti, Cici; Utari, Susan Fitri; Della Febri Rinjani
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.209

Abstract

The purpose of this study was to determine the determinants of company value. The progress of globalization in the business world is currently growing rapidly. This can be seen from the rapid increase in data and innovation that encourages businesses to continue to grow. The company continues to strive to develop in accordance with the times that increase company value. The method used in this research is Systematic literature review (SLR). SLR is a research method to collect and evaluate research results related to topics that will become research topics. The data collection techniques used in this research are observation and literature research methods. The theory is obtained through Google scholar, dimensions, sinta kemendikbud, articles, journals, the data used in this study were collected by means of indirect data collection techniques and sourced from intermediary media the research data collection period is articles from 2023 to 2025. Factors that affect firm value, namely Intelectual Capital Disclosure (ICD), financial performance, and Good Corporate Governance (GCG). Overall, to achieve maximum firm value, business organizations should not only focus on the collection of intellectual capital, but also on openness in its disclosure as well as the implementation of strong GCG practices.
The Influence of Inflation, Interest Rates, Capital Structure, and Profitability on Stock Prices in Manufacturing Companies Wulan Ramadhani; Deby Deby; Jesica Dara Tista
Systematic Literature Review Journal Vol. 1 No. 1 (2025): Januari: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i1.211

Abstract

This study aims to analyze the influence of inflation, interest rates, capital structure, and profitability on stock prices in manufacturing companies. The background of this research highlights the volatility of the Indonesian economy, which is driven by macroeconomic factors that significantly affect capital market performance. Using the Systematic Literature Review (SLR) method, this study synthesized 10 relevant articles published between 2023 and 2025, collected through Google Scholar using specified keywords. The findings reveal varied results: inflation and interest rates generally have a negative influence on stock prices, although some studies report insignificant effects. Similarly, capital structure shows both positive and negative impacts, depending on company conditions and research contexts. Profitability also presents mixed outcomes; some studies found significant relationships, while others reported no influence on stock prices. This literature-based synthesis highlights inconsistencies in previous empirical findings and reinforces the need for further research to clarify the interaction between these variables and stock market performance. The study contributes to providing a comprehensive understanding for investors, financial analysts, and policymakers in making better investment and strategic financial decisions under uncertain economic conditions.
The Influence of the Board of Independent Commissioners, Audit Committee, and Managerial Ownership on Financial Performance in Manufacturing Companies Listed on the Indonesia Stock Exchange. Muhammad Teguh; Mareta Suwartini; Indina Azzahra; Marlena Susanti
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.213

Abstract

Good Corporate Governance (GCG) refers to the practices and processes that guide a company's operations and decision-making, significantly influencing its financial performance. This study employs secondary and quantitative data, utilizing the Systematic Literature Review (SLR) method, with sources obtained from the Google Scholar website. The research focuses on the impact of the Independent Board of Commissioners, the Audit Committee, and Managerial Ownership on financial performance. The findings indicate that effective corporate governance, particularly the presence of an independent Board of Commissioners, positively influences financial performance as assessed by Return on Assets (ROA). Additionally, the Audit Committee is shown to have a significant and positive effect on financial performance. In contrast, while Managerial Ownership does not appear to impact financial performance when evaluated through ROA, it does exhibit a positive correlation when assessed using Tobin's Q. This suggests that higher managerial ownership can enhance market perceptions of the company's long-term value and stability. The study concludes that the successful implementation of Good Corporate Governance practices can lead to improved financial performance for companies. Conversely, inadequate execution of these governance principles may result in diminished financial performance and overall company value. Therefore, it is crucial for organizations to prioritize and effectively implement GCG to foster better financial outcomes and enhance their market standing. This research underscores the importance of governance structures in shaping financial results and highlights the need for companies to focus on governance practices to achieve sustainable growth and value creation. Ultimately, the study emphasizes that a strong commitment to GCG can lead to increased investor confidence and long-term success in the competitive business landscape.
Chatgpt In Finance: Exploring Practical Uses, Emerging Challenges, and Mitigation Strategies Sulaiman Taiwo Hassan; Abalaka, James Nda; Abdullahi Ya'u Usman
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.214

Abstract

The advent of ChatGPT, a generative AI technology, has initiated significant transformation within the finance sector by allowing users to engage with digital systems using natural language. Despite its promising capabilities, integrating ChatGPT into financial operations introduces a host of ethical concerns that must be rigorously addressed to ensure its appropriate and conscientious use. This policy-focused article begins with a brief overview of ChatGPT’s utility in financial contexts and then examines the ethical dilemmas it raises. These include biased decision-making outputs, the risk of misinformation influencing financial outcomes, data privacy and security vulnerabilities, opacity in algorithmic processes, the displacement of human workers, and complex legal implications. We argue that financial entities adopting ChatGPT have a responsibility to develop and implement comprehensive strategies aimed at mitigating these ethical risks. In support of this goal, we outline policy recommendations designed to directly address these pressing issues. Ultimately, this article emphasizes the urgent need for a robust ethical framework to guide the deployment of ChatGPT in financial environments, ensuring that its implementation benefits both individuals and society. Furthermore, we highlight key areas for future research that can support ongoing efforts to integrate AI responsibly in finance.
Artificial Intelligence and Its Implications For The Future Of Accounting Practice: A Comprehensive Review Abdulrahman Abdulganiyu; Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman; Abalaka, James Nda
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.215

Abstract

The accounting profession is undergoing significant transformation due to the advancements and integration of Artificial Intelligence (AI), which offers opportunities to enhance and restructure various accounting tasks. A crucial factor in this shift is the ability of accountants to rapidly adjust to these changes by developing the essential skills and knowledge required to effectively collaborate with AI technologies, while also addressing concerns about job security. This study aims to explore the influence of Artificial Intelligence on accounting by conducting a systematic review of existing literature. Results indicate that although current accounting practices incorporate technology to streamline processes and boost efficiency, there is concern that limited AI proficiency may reduce job prospects for accountants. This research contributes valuable insights into the challenges and potential advantages AI poses for the profession. It also emphasizes the need for proactive measures to equip future accountants for an AI-driven work environment.
Role Of Artificial Intelligence In Accounting: A Quantitative Economic Analysis Of Nigeria Financial Markets’ Future Abdullahi Ya'u Usman; Abalaka, James Nda; Sulaiman Taiwo Hassan
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.216

Abstract

In today’s fast-evolving technological landscape, this study examines the profound integration of Artificial Intelligence (AI) into accounting and its far-reaching effects on the future of Nigeria financial markets. The incorporation of AI represents a fundamental shift in accounting, moving beyond conventional practices and ushering in unprecedented efficiency and advanced analytical capabilities. This transformation is instrumental in redefining accounting standards and influencing the broader economic dynamics of the financial sector. This paper aims to analyze the complex role of AI in accounting, evaluating its benefits, obstacles, and long-term potential. By connecting technological advancements with real-world accounting applications, the study provides an in-depth exploration of how AI is revolutionizing financial processes, its economic impact on Nigeria markets, and the balance between its advantages and inherent challenges. Additionally, the research proposes actionable strategies for optimizing AI adoption in accounting. The findings highlight that AI integration marks a critical advancement in accounting, improving precision, productivity, and strategic decision-making. Nevertheless, it also introduces hurdles such as workforce reskilling and ethical dilemmas. To address these challenges, the study recommends educational enhancements, policy adjustments, and cross-disciplinary cooperation to maximize AI’s potential in accounting. As a foundational contribution, this paper presents a compelling discussion on AI’s transformative role in accounting and its wider economic consequences, paving the way for future research and practical applications.

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