Artificial Intelligence (AI) has become a critical driver of firm survival in the banking industry, particularly for deposit money banks (DMBs) facing increasing challenges such as economic volatility, regulatory compliance, cybersecurity threats, and rising customer expectations. This study explores the role of AI in enhancing operational efficiency, risk management, fraud detection, customer experience, and financial resilience in the banking sector. AI-powered technologies, including machine learning, predictive analytics, robotic process automation (RPA), and natural language processing (NLP), are transforming how banks analyze financial risks, detect fraudulent transactions, automate operations, and provide personalized banking services. Research findings indicate that AI adoption has led to a 35% reduction in loan defaults, a 40% improvement in operational efficiency, and a 60% decline in financial fraud cases, highlighting its transformative potential in ensuring the survival and competitiveness of DMBs. Despite these advancements, AI adoption in the banking sector is hindered by high implementation costs, cybersecurity vulnerabilities, workforce resistance, and regulatory uncertainties. Many banks, particularly in developing economies like Nigeria, struggle with legacy banking systems, lack of AI governance frameworks, and concerns over algorithmic bias in lending decisions. Additionally, AI-driven financial innovations, such as blockchain integration, decentralized finance (DeFi), and AI-powered ESG compliance solutions, are reshaping the banking industry, yet require strategic policy alignment and investment to maximize their benefits. The study identifies gaps in existing literature, including the need for empirical research on AIâs long-term impact on firm survival, its role in financial inclusion, and the ethical challenges of AI governance in banking. To bridge these gaps, future research should focus on developing AI implementation models suited to the challenges of emerging economies, exploring AIâs potential in expanding financial access to underserved populations, and strengthening AI-driven sustainability and ESG compliance frameworks in banking. As AI continues to evolve, deposit money banks must embrace a balanced approach that integrates AI innovation with regulatory oversight, cybersecurity safeguards, and workforce upskilling to ensure long-term survival and competitiveness in the digital financial landscape
Cryptocurrency and blockchain technology have emerged as important innovations in the global financial system. Cryptocurrency is a digital form of money that uses cryptographic techniques to ensure secure financial transactions. Blockchain technology acts as a decentralized and transparent ledger that records all transactions in a secure manner. The rapid growth of digital payments, financial technology, and global connectivity has increased the importance of cryptocurrency and blockchain in modern finance. This research paper examines the role of cryptocurrency and blockchain in transforming financial markets, improving transparency, and reducing transaction costs. The study is based on secondary data collected from financial reports, academic journals, and international organizations. The analysis indicates that blockchain technology has the potential to revolutionize financial systems by increasing efficiency, security, and accessibility in financial transactions.
The global financial landscape is experiencing significant transformation driven by technological advancements and evolving market dynamics. Moreover, blockchain technology has become a pivotal platform with widespread applications, especially in finance. Cross-border payments have emerged as a key area of interest, with blockchain offering inherent benefits such as enhanced security, transparency, and efficiency compared to traditional banking systems. This paper presents a novel framework leveraging blockchain technology and smart contracts to emulate cross-border payments, ensuring interoperability and compliance with international standards such as ISO20022. Key contributions of this paper include a novel prototype framework for implementing smart contracts and web clients for streamlined transactions and a mechanism to translate ISO20022 standard messages. Our framework can provide a practical solution for secure, efficient, and transparent cross-border transactions, contributing to the ongoing evolution of global finance and the emerging landscape of decentralized finance.
The rapid convergence of the Internet of Things (IoT) and decentralized finance (DeFi) is reshaping the digital economy by enabling autonomous, trustless, and value-driven interactions among connected devices. This paper provides a comprehensive survey of the emerging paradigm that combines IoT's pervasive sensing and communication capabilities with DeFi's programmable financial infrastructure. We first discuss the motivation behind this convergence and explore key opportunities, including autonomous machine-to-machine (M2M) payments, decentralized data marketplaces, and trustless IoT service provisioning. Despite its potential, IoT-DeFi integration introduces significant security and privacy challenges related to smart contract vulnerabilities, consensus protocol risks, oracle manipulation, and constrained device capabilities. We review existing mitigation approaches such as lightweight cryptography, secure contract design, and decentralized identity management, and critically assess their limitations in heterogeneous, resource-limited environments. Building on this analysis, identify research gaps and propose future directions emphasizing formal verification of IoT-integrated smart contracts, robust oracle design, interoperability frameworks, and privacy-preserving trust models. This survey systematically maps opportunities, threats, and open issues. In doing so, it guides researchers and practitioners toward building secure, scalable, and energy-efficient IoT-DeFi ecosystems for next-generation decentralized applications.
Over the past decade, the explosion of digital assets, including cryptocurrencies, non-fungible tokens (NFTs), and cloud-based accounts, has introduced complex legal questions that conventional inheritance regimes struggle to address. In Muslimâmajority jurisdictions and among Muslim communities worldwide, these questions intersect with the requirements of Islamic personal law, particularly the farÄâiḠ(obligatory heirsâ shares) and waᚣiyya (testamentary bequests). This study undertakes original empirical and doctrinal research to chart a path toward a unified fiqhâgrounded framework for digital asset succession. By combining doctrinal analysis of classical juristic sources, contemporary fatwas, and statutory developments with semiâstructured interviews among scholars, estate planners, and digital asset owners across Malaysia, Indonesia, Pakistan, and the United Kingdom, the research shows that digital assets are increasingly recognized as mal mutaqawwim (valuable property) but lack standardized protocols for identification, valuation, and transfer. The study reveals that differences in platform terms of service and crossâborder jurisdiction complicate heirsâ access to private keys and cloud accounts, exacerbating existing gender and socioâeconomic disparities. It proposes a model of âcustodial key trustsâ and eâwills that integrate digital asset inventories with farÄâiḠdistributions, allowing compliance with both shariah and civil laws. The paper argues that without coordinated legal reforms and educational initiatives, vast wealth stored in digital forms risks being lost or misappropriated, undermining the objectives of Ḽifáş alâmÄl (preservation of wealth) and social justice.
Samar Alsulaimani, Ming Zhao, Farookh Khadeer Hussain
⢠Innovative Fractional Ownership Framework: The Fractional Digital Asset Ownership (FDAO) model uses fractional NFTs (FNFTs) to facilitate the co-ownership of digital assets, focusing on software code. ⢠Addressing Ownership Management Challenges: Building on FNFT and blockchain technology, this study proposes an intelligent solution for fractional digital asset ownership that ensures the accurate tracking of ownership rights through the integration of FNFTs with blockchain technology. ⢠Practical Prototype Development: This study demonstrates the FDAO frameworkâs capability to securely and transparently manage handling digital asset transactions using FNFTs and smart contracts implemented through Remix and OpenZeppelin. ⢠Empirical Evaluation of FNFT Application: This research examines the effectiveness of FNFT frameworks in supporting fractional ownership, highlighting their potential for real-world digital asset applications. ⢠Market Accessibility and Inclusivity: By enabling fractional ownership, the FDAO model increases accessibility to digital assets and supports ownership democratisation. ⢠Identification of Limitations and Future Directions: The study discusses the challenges related to regulatory compliance, scalability, and costs associated with FNFTs and other blockchain platforms and outlines compliance strategies that may support a broad range of applications. A new generation of digital assets is being managed using blockchain technology and non-fungible tokens (NFTs), which introduce novel opportunities for verifying ownership rights and establishing provenance. This paper presents an innovative framework called Fractional Digital Asset Ownership (FDAO), which aims to create NFTs for digital artifacts, such as software code, and extend their functionality through fractionalized NFTs (FNFT). Leveraging the Model-View-Controller (MVC) design pattern, FDAO enables effective co-ownership tracking across the lifecycle of digital assets, providing a structured and efficient mechanism for defining and managing co-ownership. A system prototype has been developed and tested in an integrated development environment (IDE) using decentralised applications (DApps) and smart contracts. Unlike existing NFT-based models, FDAO incorporates an intelligent, automated fractionalization and verification mechanism that combines the ERC-1155 and ERC-20 standards to enhance co-ownership management and scalability. This integration addresses the critical challenges related to transparency, security, and lifecycle management in digital asset co-ownership. The prototype, implemented using Remix and OpenZeppelin, demonstrates how FDAO enables secure, transparent, and efficient transfer and management of digital assets. By integrating FNFT functionality with smart contracts, the framework provides a robust, scalable, and intelligent method for managing digital assets. It also maintains transparency and trust throughout the asset lifecycle.
The rapid rise in cryptocurrencies has created an investment environment marked by unprecedented levels of information volume, fragmentation, and volatility. While prior research has examined drivers of trust and adoption in crypto markets, far less is known about the psychological consequences of information overload on investor decision-making. This study addresses this gap through nineteen semi-structured interviews with individual cryptocurrency investors, analyzed using an inductive, manually conducted thematic approach. Findings reveal four interconnected dynamics: decision fatigue and paralysis, heuristic reliance on influencers and peers, emotional strain characterized by anxiety and fear of missing out (FOMO), and diverse coping strategies ranging from selective filtering to withdrawal. These results demonstrate that crypto investing is not only a financial process but also a cognitively and emotionally taxing experience. By linking investor narratives to broader theories of decision fatigue, bounded rationality, and consumer vulnerability, the study contributes to interdisciplinary debates in marketing, behavioral finance, and consumer psychology. Practically, the findings highlight the need for clearer communication strategies, supportive platform design, and financial education initiatives that help investors manage cognitive strain and decision fatigue. In a market where credibility is fluid and decisions are often made under conditions of overload, understanding the psychological dimensions of investment behavior is essential.
Central Bank Digital Currency (CBDCs) are becoming a new digital financial tool aimed at financial inclusion, increased monetary stability, and improved efficiency of payment systems, as they are issued by central banks. One of the most important aspects is that the CBDC must offer secure offline payment methods to users, allowing them to retain cash-like access without violating Anti-Money Laundering and Counter-terrorism Financing (AML/CFT) rules. The offline CBDC ecosystems will provide financial inclusion, empower underserved communities, and ensure equitable access to digital payments, even in connectivity-poor remote locations. With the rapid growth of Internet of Things (IoT) devices in our everyday lives, they are capable of performing secure digital transactions. Integrating offline CBDC payment with IoT devices enables seamless, automated payment without internet connectivity. However, IoT devices face special challenges due to their resource-constrained nature. This makes it difficult to include features such as double-spending prevention, privacy preservation, low-computation operation, and digital identity management. The work proposes a privacy-preserving offline CBDC model with integrated secure elements (SEs), zero-knowledge proofs (ZKPs), and intermittent synchronisation to conduct offline payments on IoT hardware. The proposed model is based on recent improvements in offline CBDC prototypes, regulations and cryptographic design choices such as hybrid architecture that involves using combination of online and offline payment in IoT devices using secure hardware with lightweight zero-knowledge proof cryptographic algorithm.
As cryptocurrencies evolve from niche assets to systemic financial components, the banking sector faces a strategic dilemma: displacement or adaptation. Using 27,510 bankâyear observations from 2014 to 2023 across thirty-two economies, predominantly within the European banking sector, this study isolates the technological prerequisites for this adaptation. We employ a continuous interaction model with robust controls to test how national digital infrastructure moderates bank responses to valuation cycles in the four dominant cryptocurrencies by market capitalization (Bitcoin, Ethereum, Ripple, and Binance Coin). The results document a robust lagged complementarity effect: in digitally advanced economies, cryptocurrency booms significantly increase bank non-interest income in the subsequent year, while lending portfolios remain unaffected. A one-standard-deviation increase in crypto returns interacts with digital capacity to boost fee revenue by approximately 0.7 percentage points (0.20 standard deviations). Crucially, this effect persists after controlling for GDP and equity market interactions, confirming that technological capacity, rather than general economic wealth, acts as the binding constraint. These findings refine FinTech adaptation research by demonstrating that high-bandwidth infrastructure enables banks to monetize external volatility via service deployment and custody, transforming a potential threat into a structural revenue stream.m.
The concept of alternative finance is explored from a narrow and broad perspective. The latter defines it as segments of "gray" financial markets, outside the scope of regulation and traditional finance. "Dark" liquidity poolsâtrading transactions of major players in securities and currencies, operating anonymously, opaquely, and hidden from the public in the over-the-counter space through automated digital trading platformsâare presented as one element of the alternative finance system. The advantages and disadvantages of "dark" pools for financial market participants and exchange infrastructure are discussed. The problem of liquidity fragmentation caused by "dark" pools is highlighted, a problem inherent in decentralized finance, where liquidity is not concentrated on a single platform or trading system, but distributed among many. Emphasis is placed on the insufficient or complete lack of oversight and regulation of this alternative financial market segment. Examples of legislative and regulatory acts in a number of countries are provided.
Abstract This study analyzes the progression of the Financial Technology (FinTech) sector and its basic technological drivers in the United States, emphasizing investment trends and the entrepreneurial impact on the digital financial landscape. The research employs a descriptive-analytical approach: the descriptive component outlines the evolution of the FinTech ecosystem, while the analytical component examines investment trends and technology drivers shaping the sector. The factors for technology investment were recalibrated by reassessing the compound annual growth rate (CAGR) using benchmark values from secondary market research. The resulting dataset presents smoothed trend estimations rather than separately recorded annual values, offering a solid empirical basis for the ensuing statistical models. The results indicate rapid growth in the FinTech sector, with the United States retaining its leading global position due to strong technological infrastructure and substantial venture capital support, largely driven by the digital payments segment. The empirical study reveals remarkably robust and consistent positive correlations, with Pearson correlation coefficients (r) surpassing 0.978 (p < 0.01) in all models. Cloud computing demonstrated the strongest correlation (r = 0.9856), closely followed by AI (r = 0.9854). The computed regression models exhibited exceptional explanatory power, with coefficients of determination (R 2 ) ranging from 0.9579 to 0.9714. Blockchain technology yielded the largest marginal regression coefficient (β = 1101.47), highlighting its significant potential to transform conventional financial intermediation through decentralized finance (DeFi) ecosystems. The study indicates that the high correlation coefficients (r > 0.97) predominantly reflect a fundamental structural co-movement of technological investment cycles within the U.S. FinTech sector, which is intrinsically associated with the employed smoothed trend estimations. The report ultimately promotes strategic collaboration between traditional financial institutions and FinTech startups, emphasizing the need for adaptive regulatory frameworks that effectively reconcile entrepreneurial innovation with systemic financial stability and digital financial inclusion.
The digitalisation is one of the most important aspect in the twenty-first century, and thus huge amount of personal data is being accumulated about each person day-by-day. It is still a debate in many countries who we could view these datasets after the passing of the person and whether the heirs should have the right to access and maintain the dignity, memory of the deceased. One of the element of the so-called âdigital inheritanceâ would be cryptocurrency which contains an enormous economic potential. This study explores and highlights the reality, the possibility of the inheritance of cryptocurrency, also the wallets, especially the online platform accounts, which these assets are stored in, in a European context through the already existing cases in the world.
Abstract Cryptocurrency has been the subject of heightened regulatory and investor attention in recent years, and regulators and policymakers across the globe are deliberating on how to account for, regulate, tax, and oversee digital assets and cryptocurrency marketplaces. Yet researchers have a limited understanding of key attributes of those who deal in crypto assets, such as whether their financial sophistication differs from that of other investors. Using U.S. administrative data, we provide evidence on (i) the attributes of taxpayers reporting cryptocurrency sales to the IRS, (ii) how these attributes are evolving, and (iii) how investors treat cryptocurrency versus other financial assets in certain settings. The results suggest that average reporting cryptocurrency sellers exhibit demographic attributes generally associated with less financial sophistication and are more likely to trade in meme stocks. Overall, we provide timely evidence that can inform cryptocurrency policy deliberations by highlighting the characteristics of taxpayers who appear to report cryptocurrency sales.
Smart contracts underpin high-value ecosystems such as decentralized finance (DeFi), yet recurring vulnerabilities continue to cause losses worth billions of dollars. Although numerous security analyzers that detect such flaws exist, real-world attacks remain frequent, raising the question of whether these tools are truly effective or simply under-used due to low developer trust. Prior benchmarks have evaluated analyzers on synthetic or vulnerable-only contract datasets, limiting their ability to measure false positives, false negatives, and usability factors that drive adoption. To close this gap, we present a mixed-methods study that combines large-scale benchmarking with practitioner insights. We evaluate six widely used analyzers (i.e., Confuzzius, Dlva, Mythril, Osiris, Oyente, and Slither) on 653 real-world smart contracts that cover three high-impact vulnerability classes from the OWASP Smart Contract Top Ten (i.e., reentrancy, suicidal contract termination, and integer arithmetic errors). Our results show substantial variation in accuracy (F1 = 31.2 to 94.6%), high false-positive rates (up to 32.6%), and runtimes exceeding 700 seconds per contract. We then survey 150 professional developers and auditors to understand how they use and perceive these tools. Our findings reveal that excessive false positives, vague explanations, and long analysis times are the main barriers to trust and adoption in practice. By linking measurable performance gaps to developer perceptions, we provide concrete recommendations for improving the precision, explainability, and usability of smart-contract security analyzers.
Abstract The rapid growth of digital financeâincluding FinTech platforms, online payment gateways, and e-commerce marketplacesâhas revolutionized global financial systems while significantly expanding the cyber-attack surface. Sophisticated attacks such as AI-generated deepfakes, automated malware, ransomware, and synthetic identity fraud now threaten financial transactions. In response, cybersecurity strategies are evolving toward decentralized models, AI-enabled detection systems, Zero Trust architectures, and quantum-safe cryptography. This paper synthesizes recent academic research and industry developments (2025â2026), covering threat taxonomies, defensive strategies, emerging attack vectors, and regulatory enhancements in payment authentication. The integration of these trends underscores the necessity of robust, AI-driven, and compliance-aware security architectures for securing modern financial ecosystems.
Smart contract is a type of contract that exercised automatically if requirements are met in trades, the data on chains is available at all time and no edit or central authority intervene is allowed. In China, SMEs often face high requirement of lending from bank, information asymmetry and region difference when financing. In this research, it is proved that smart contracts reduce SME financing cost via lowering human labour and spend time, which is one of reasons that smart contracts and blockchain are welcomed in SMEs. The government should set related regulations on smart contracts and technical designers need to improve systems in the future so that more SMEs could get benefits during financing programs.
Abstract The rapid expansion of cryptocurrency markets has significantly transformed global financial systems through the adoption of decentralized, blockchain-based transaction mechanisms. Digital assets such as Bitcoin and Ethereum operate on distributed ledger technology, which enhances transparency, immutability, and peer-to-peer verification without reliance on traditional financial intermediaries. Despite these technological advancements, the cryptocurrency ecosystem faces escalating cybersecurity risks that threaten the integrity of financial data and reporting systems. Cryptocurrency exchanges, digital wallets, custodial services, and decentralized finance (DeFi) platforms are increasingly targeted by cybercriminals through hacking, phishing schemes, ransomware attacks, private key theft, and smart contract vulnerabilities. These cybersecurity incidents have profound implications for financial record integrity, including unauthorized transactions, asset misappropriation, valuation distortions, and inaccuracies in financial statements. Unlike conventional banking systems, cryptocurrency transactions are often irreversible, amplifying the financial and accounting consequences of cyber breaches. Furthermore, the pseudonymous nature of blockchain transactions complicates audit verification, regulatory compliance, and internal control processes. As organizations integrate digital assets into their financial reporting frameworks, weaknesses in cybersecurity governance may undermine stakeholder confidence and market stability. This paper critically examines the major cybersecurity threats present in cryptocurrency markets and evaluates their direct and indirect impact on the reliability, accuracy, and auditability of financial records. It also analyzes existing risk mitigation strategies, including multi-factor authentication, cold storage solutions, encryption protocols, smart contract audits, and regulatory oversight mechanisms. The study concludes that while blockchain technology inherently promotes data immutability and transparency, systemic vulnerabilities at exchange, platform, and user levels continue to pose substantial risks. Strengthened cybersecurity governance frameworks, standardized accounting treatments for digital assets, and coordinated global regulatory efforts are essential to ensuring the long-term integrity and sustainability of cryptocurrency-based financial systems.
This paper examines the critical role of education in fostering decentralized finance (DeFi) and cryptocurrency literacy. Drawing on qualitative interviews with industry professionals and educators, the study explores how formal education, online learning, and peer-to-peer knowledge sharing shape public understanding of DeFi systems. The findings highlight that limited access to structured educational resources hinders the adoption of crypto technologies, especially in emerging economies. Interviewees emphasized the importance of learning environments that not only teach technical concepts but also explain the risks, use cases, and ethical dimensions of decentralized technologies. While online communities and social media platforms offer learning opportunities, they also expose users to misinformation and hype-driven content. The paper advocates for integrating blockchain topics into academic curricula and promoting accessible digital literacy initiatives to support inclusive participation in the evolving financial ecosystem. It also suggests that governments and educational institutions partner with fintech innovators to create standardized, multilingual, and culturally adaptive learning content. By improving blockchain literacy through both formal and informal educational channels, the industry can close the knowledge gap, increase responsible adoption, and reduce the digital divide in the global financial system (Prajapati, 2025). This research contributes to the understanding of how knowledge dissemination strategies influence technology adoption in disruptive finance sectors.
This study aims to examine the development and structure of global research on Sharia finance through a bibliometric analysis of publications indexed in the Scopus database from 2010 to 2024. Using bibliometric techniques and visualization tools such as VOSviewer, this study analyzes publication trends, collaboration networks among authors, institutions, and countries, as well as the thematic evolution of research topics in the field of Islamic finance. The results indicate that research on Sharia finance has grown significantly during the observed period, reflecting the increasing global importance of Islamic financial systems. The collaboration analysis shows that several key authors and institutions play central roles in connecting different research groups, while countries such as Indonesia, Malaysia, Saudi Arabia, the United Kingdom, and the United States emerge as important contributors to the global research network. Keyword co-occurrence analysis reveals that dominant themes include Islamic banking, Sharia compliance, financial institutions, and Islamic law. At the same time, emerging topics such as financial technology (fintech), blockchain, decentralized finance, and financial inclusion indicate a shift toward digital transformation and innovation in Islamic financial services. Furthermore, themes related to sustainable development, ESG, and waqf highlight the growing integration of Islamic finance with broader sustainability and ethical finance agendas. This study provides a comprehensive overview of the intellectual structure, collaboration patterns, and emerging research trends in Sharia finance, offering valuable insights for future academic research and policy development in the global Islamic financial industry.
The purpose of the study is to comprehensively assess the legal and economic prerequisites for integrating prediction markets into the US financial system, taking into account the regulation of derivative financial instruments, gambling legislation, and the characteristics of decentralized management models, as well as to determine the impact of legalization on the informational efficiency of markets and the stability of the financial system. The study uses formal legal analysis of regulatory acts and law enforcement practices of federal authorities, a comparative legal approach to the distinction between financial and gambling regulation, economic and mathematical modeling using autoregressive models with external variables and rational expectations theory, as well as elements of agent-based modeling to assess the risks of price manipulation. The source base consists of relevant scientific publications from 2022 to 2026, analytical materials, and regulatory documents. It has been established that the main barrier to integrating decentralized prediction markets into the US legal framework is the dual legal nature of event contracts, which creates competition between the regulatory regimes governing derivatives markets and the gambling sector. It has been proven that the absence of a centralized issuer in decentralized autonomous organizations complicates state supervision and the identification of the responsible entity. Economic analysis confirmed the ability of binary contracts to aggregate scattered information and form market expectations more efficiently than individual traditional indicators, while also revealing the risks of short-term price distortions. The need to introduce a mixed legal support model, combining distributed registries with a licensed organizational form of activity, is justified. Legalization of prediction markets, provided that there is a clear distinction between financial and gambling regulation, can increase the transparency of market expectations and expand the range of risk management tools without creating excessive systemic threats.
Penelitian ini bertujuan untuk memetakan perkembangan dan arah evolusi riset mengenai perilaku investor di era digital melalui pendekatan bibliometrik. Data dikumpulkan dari basis data Scopus dan dianalisis menggunakan perangkat VOSviewer untuk mengidentifikasi pola publikasi, jaringan kolaborasi, serta struktur konseptual berdasarkan ko-occurence kata kunci. Hasil analisis menunjukkan bahwa tema investasi dan pasar keuangan tetap menjadi fondasi utama literatur, namun dalam beberapa tahun terakhir terjadi pergeseran signifikan menuju integrasi teknologi digital seperti machine learning, artificial intelligence, cryptocurrency, dan decentralized finance. Visualisasi overlay memperlihatkan bahwa topik berbasis algoritma dan sistem keuangan terdesentralisasi merupakan tema yang relatif lebih mutakhir. Analisis jaringan kolaborasi mengindikasikan bahwa produksi ilmiah masih terpusat pada beberapa negara dan institusi tertentu, dengan keterlibatan terbatas dari negara berkembang. Secara konseptual, studi ini menunjukkan bahwa perilaku investor di era digital berkembang dari pendekatan psikologis tradisional menuju kerangka yang lebih terintegrasi dengan transformasi teknologi dan analitik berbasis data. Temuan ini memberikan arah penelitian lanjutan terkait bias perilaku dalam lingkungan investasi yang semakin terdigitalisasi dan dimediasi algoritma.