It has been set out to explore how the digital revolution and the rise of Fintech are fundamentally changing the way global trade routes are managed. The goal is to see if these new tools could fix the old headaches of international trade—think sky-high costs, shadowy processes, and constant security worries—and replace them with supply chains that actually work better, stay safe, and respect the planet. Instead of just looking at numbers, we took a deep dive into qualitative insights by combing through academic papers, latest industry trends, and real-world case studies. It is paid close attention to the heavy hitters: blockchain, smart contracts, digital payments, and AI-powered logistics. To make it practical, we looked at how these technologies are performing in the real world across vital trade links like the Black Sea, the Middle Corridor, and the New Silk Road. The result of the paper is to going digital makes everything smoother. It cuts down waiting times, handles boring paperwork automatically, and finally lets everyone see what’s happening in the supply chain in real-time. It was also found that Fintech is a game-changer for smaller businesses (SMEs) and developing areas, giving them a seat at the global trade table for the first time. That said, it’s not all smooth sailing; we still have to deal with patchy internet, messy regulations, cyber threats, and a serious lack of people who know how to run these systems. Digital tools and Fintech aren't just minor upgrades; they are revolutionary for trade management. But, to make it work, governments and private companies need to start rowing in the same direction. We need smart investments in better internet for everyone, global rules that actually match up, tighter security, and training programs that prepare people for the jobs of tomorrow. We wrap up the paper with a roadmap for leaders and businesses to help them make this transition without getting left behind.
This study investigated the relationships between human resource management (HRM) practices, workplace bullying, work engagement, perceived organizational and supervisor support, and turnover intention among academic staff in Nigeria’s top 10 public universities. Grounded in the Job Demands-Resources (JD-R) model and Social Exchange Theory, the research examined both the direct and indirect pathways affecting turnover intention. Data were collected using purposive sampling from full-time, part-time, contract, and visiting lecturers via structured questionnaires, with a final sample size of 126 respondents determined through G*Power analysis. Structural Equation Modelling (SEM) using Smart PLS (v4.1.3) revealed that workplace bullying significantly increased turnover intention and negatively influenced work engagement. HRM practices did not have a significant direct effect on engagement but had an indirect effect through engagement on turnover intention. Work engagement emerged as a significant mediator in the relationships between HRM practices, workplace bullying, and turnover intention. Furthermore, perceived supervisor support significantly moderated the relationship between work engagement and turnover intention, while perceived organizational support did not. The study concludes that while HRM practices alone may not directly boost engagement, their indirect influence through engagement is valuable for reducing turnover intention. Conversely, workplace bullying remains a strong risk factor for disengagement and staff attrition. Theoretically, the study advances the JD-R model by incorporating workplace stressors and support mechanisms. Practically, it emphasizes the need for targeted HR interventions, antibullying policies, and supportive supervisory relationships to enhance academic staff retention in the Nigerian public university system.
The convergence of neo-banking and the gig economy represents a significant shift in the future of work and finance, reshaping how individuals manage their financial lives in an increasingly digital and decentralized economy. This research article investigates the intersections between neo-banking, a digital-only banking model, and the gig economy, focusing on how neo-banks are addressing the unique financial challenges faced by gig workers. Unlike traditional employment, gig work often involves irregular income, lack of employer-provided benefits, and limited access to financial services. Neo-banks, with their technology-driven, customer-centric approach, are emerging as key players in providing tailored financial solutions such as flexible accounts, real-time payments, income-smoothing tools, and low-cost international transfers. These innovations are particularly relevant for gig workers, who require greater financial flexibility and accessibility. The research highlights the economic and social implications of neo-banking for the gig economy, including its role in promoting financial inclusion, reducing barriers to financial access, and empowering workers to better manage their finances. However, the study also identifies potential risks, such as over-reliance on digital platforms, cybersecurity vulnerabilities, and regulatory challenges that could hinder the sustainable growth of neo-banking in this context. Furthermore, the article explores the broader implications of this intersection for the future of work and finance. It argues that neo-banks are not only transforming how gig workers interact with financial systems but also influencing the broader financial ecosystem by driving innovation and competition. The findings suggest that while neo-banks are well-positioned to support the evolving needs of the gig economy, collaboration among regulators, traditional banks, and fintech companies is crucial to address systemic risks and ensure equitable access to financial services. This research contributes to the growing body of literature on digital finance and labor economics, offering actionable insights for policymakers, financial institutions, and gig workers. By examining the synergies and challenges at the intersection of neo-banking and the gig economy, the article provides a comprehensive understanding of how digital financial solutions can support the future of work in an increasingly fragmented and dynamic labor market.
The article examines the theoretical and practical foundations of tax management transformation in the digital economy. It analyses the impact of digitalisation, platform business models, electronic commerce, digital financial services, and virtual assets on the evolution of tax administration. Particular attention is paid to international digital taxation mechanisms, including the OECD/G20 BEPS Project, the Two-Pillar Solution, Digital Services Tax, and the DAC7 Directive, which are shaping a new architecture of global tax governance. The transformation of the digital economy is considered as a factor that requires a shift from traditional tax administration towards a more adaptive, technology-driven, and internationally coordinated model of tax management. The growing mobility of digital business activities and cross-border financial flows further increases the importance of integrated approaches to tax information, risk management, and fiscal regulation. The study substantiates the growing role of fiscal innovations and advanced digital technologies, including Big Data, Artificial Intelligence, Blockchain, Cloud Technologies, Predictive Analytics, and integrated digital platforms, in improving tax administration, strengthening risk-oriented control, enhancing tax transparency, and supporting data-driven decision-making within the Smart Tax Administration framework. The current stage of digital transformation of Ukraine's tax management system is analysed through the implementation of the taxation mechanism for electronic services supplied by non-residents ("Google Tax"), the development of the Diia City legal regime, and the expansion of digital services provided by the State Tax Service of Ukraine. The paper identifies the main institutional and technological challenges of digital tax management and proposes strategic priorities for its further development based on international tax transparency standards, digital integration, and modern information technologies. Particular emphasis is placed on the need to combine technological modernisation with regulatory adaptation and institutional capacity building in order to ensure the coherence of Ukraine's tax system with the evolving global digital tax environment. The implementation of these approaches will contribute to increasing the efficiency of tax administration, expanding the tax base, strengthening fiscal sustainability, and ensuring the successful integration of Ukraine into the global digital tax environment.
Innovation is the ultimate force that drives the development of society. In this dissertation, I examine the economic and organizational outcomes of technological innovations. In my first paper, I study how Artificial intelligence (AI) technology innovation replaces the intermediary role of real estate agents by reducing information asymmetry through delegation mechanisms. I found that consumers are more likely to delegate to AI algorithms as an alternative information source over real estate agents and this effect leads to the reduction of real estate agents’ employment. In my second paper, I studied technology innovation-led remote workforce settings from a cybersecurity risk perspective. Remote workforces are becoming more common due to technological advancements such as blockchain, and cybersecurity risks are documented to be higher for such remote workforces due to reduced monitoring and interactions with peers. I built and tested a model to explain cybersecurity behaviors in remote settings and found that determinants such as social influence differ from determinants in in-office settings. Both studies have implications for helping us better embrace the benefits of technology while controlling its negative effects.
The rapid growth of cryptocurrencies and increasing instability in traditional financial systems have significantly transformed global investment behaviour in recent years. In developing countries experiencing economic crises and currency depreciation, investors increasingly seek alternative financial assets that can preserve value and generate higher returns. Sri Lanka has recently experienced severe economic instability characterised by inflation, foreign-exchange shortages, sovereign debt problems, and rapid depreciation of the Sri Lankan rupee. Under these conditions, interest in cryptocurrency investment has increased, particularly among younger and technologically aware investors. Therefore, this study examines whether fiat currency devaluation shifts investment from the stock market to the cryptocurrency market among university students in Sri Lanka. The study adopts a quantitative research approach and uses primary data collected through a structured questionnaire from 150 final-year undergraduate students at the University of Sri Jayewardenepura. Stratified random sampling was used to select respondents from the Faculty of Humanities and Social Sciences, the Faculty of Management Studies and Commerce, and the Faculty of Applied Sciences. Descriptive statistics, chi-square analysis, and binary logistic regression were employed to analyse the relationship between rupee depreciation and cryptocurrency investment behaviour. The findings reveal that depreciation of the Sri Lankan rupee significantly influences investment decisions among university students. Most respondents perceived cryptocurrency investment as more profitable than stock-market investment during periods of economic uncertainty. The chi-square analysis identified significant relationships between cryptocurrency investment behaviour and age, income, stock-market investment, and perceptions of rupee depreciation. Furthermore, the binary logistic regression results confirmed that rupee depreciation positively and significantly affects cryptocurrency investment, whereas stock-market investment had a negative relationship with cryptocurrency investment behaviour. The study concludes that economic instability, declining confidence in fiat currency, and increasing awareness of digital financial systems encourage university students in Sri Lanka to shift their investment preferences from the traditional stock market to cryptocurrency.
This paper seeks to develop an empirically tested theoretical model that measures the block chain related awareness, confidence, and perceived relevance regarding finances among employees in the Turkish financial services sector. From the existing literature on blockchain adoption, the acceptance of fintech, and trust-based investment behavior, the authors developed an initial item pool consisting of 14 items. Content validation was done through experts followed by a pilot. Primary data was collected from 450 finance professionals working in the banking, treasury, risk, and accounting departments of different companies within Istanbul. The questionnaire was filled out by the respondents during the period March to April 2025 and was distributed online. Internal consistency was calculated using Cronbach’s alpha coefficient, while the structure of the underlying scale was investigated by Principal component analysis with oblique rotation. This analysis was complemented with item analysis through corrected item-total correlations and calculation of communalities. The data quality for conducting factor analysis were validated by KMO and Bartlett’s test of sphericity. From the results of the two-factor solution, the total variance explained was 85.83%. The first factor covered perceptions pertaining to blockchain awareness and informational engagement while the second predominately covered confidence in blockchains financial functionality and trustworthiness. The final structure is comprised of 14 items that have high loadings and little redundancy. The results indicate that the scale is not only clear-cut conceptually and statistically, but also provides a consistent measure for further studies regarding the perception and acceptance of technology in the finance domain.
Introduction: Blockchain technology has emerged as a transformative innovation in the financial sector by enhancing transparency, security, and operational efficiency. As academic interest in blockchain applications continues to grow, understanding the development, structure, and direction of research in this field has become increasingly important. Novelty: Although previous studies have examined blockchain broadly, limited research has specifically mapped the intellectual structure, thematic evolution, and collaboration patterns of blockchain research in finance, particularly regarding transparency and security. To address this gap, the present study provides a comprehensive bibliometric mapping of blockchain research in finance from the perspectives of transparency and security. Methods: This study applies a bibliometric analysis approach to 256 Scopus-indexed publications related to blockchain in finance. Data were analyzed using the Bibliometrix package in R to examine annual scientific production, keyword co-occurrence, thematic development, historiographic structure, and collaboration networks among authors, institutions, and countries. Results: The findings reveal a significant increase in blockchain-related publications, particularly after 2021, indicating growing scholarly attention. Major research themes include blockchain foundations, security and privacy, decentralized finance, regulation, and cross-sector applications. The analysis also demonstrates increasingly interconnected global collaboration networks led by several productive countries. Conclusion: Overall, the findings indicate that blockchain has become an increasingly prominent research domain within financial studies. This study contributes by providing a comprehensive mapping of research trends and offering insights for future studies and policy development related to transparency and security in digital financial systems.
ABSTRACT The rise of cryptocurrency has transformed the way individuals perceive and participate in investment activities. As digital assets continue to gain global recognition, major digital assets, including Bitcoin, Ethereum, Ripple (XRP), and Tether, have gained significant interest among investors seeking alternative avenues for wealth creation. The growing adoption of blockchain technology, expansion of digital financial services, and increasing accessibility of cryptocurrency trading platforms have contributed to the rising popularity of crypto investments in India. The present study explores the emerging cryptocurrency investment trends in India through the analysis of secondary information collected from scholarly articles, industry reports, government documents, and other credible sources. The research focuses on important areas including cryptocurrency adoption, market growth, investor demographics, regulatory developments, and investment behaviour. The findings indicate that investments in cryptocurrencies have experienced notable growth in India, particularly among younger investors, despite challenges related to market volatility and regulatory uncertainty. The study concludes that digital assets are gradually becoming an important part of the Indian investment environment and may continue to influence future investment patterns. Keywords:, Digital Assets, Investment Trends, Blockchain Technology, Investor Behaviour.
In the previous research of the authors, the dynamics of cryptocurrency using blockchain technology have been studied. The chapter captures the present state of research on legal challenges related to the applicability of cryptocurrency in India by providing a critical review. An overview of pre- and post-pandemic transactions by investors in digital currency has been discussed and reviewed. In the current study, the author(s) try to examine the impact of blockchain technology on trading and business, with an emphasis on the growth and sustainability of the business. The business process will benefit from effective tracking, visibility, security improvements, and cost savings as a result ( Pal et al., 2021 ). Therefore, to ensure the legitimacy of such items, trust and confidence are factors that need to be considered (Loebbecke and Lueneborg, 2018). Through a systematic review of the literature, the application in various aspects of different types of businesses is explored, identifying the challenges in 24 blockchain implementation and looking for future trends along with the regulatory framework of trading and business in India. This chapter is important for scholars, researchers, and even entrepreneurs to understand the pedagogy behind using any technology with safe and secure transactions in business.
INTRODUCTION:The distributed digital economy, characterized by decentralization and cross-entity data flow, improves factor allocation efficiency but increasingly raises concerns over data security and privacy abuse. OBJECTIVES: Unlike the conventional digital economy, which often centers on centralized platforms (e.g., e-commerce, cloud computing), the distributed digital economy in this paper specifically refers to an economic system where data—as a production factor—is stored, computed, and circulated across multiple independent nodes without a central coordinating authority, relying on technologies such as blockchain, distributed ledger, edge computing, and peer-to-peer networks. Its core governance features include decentralized data control, consensus-based verification, and peer-to-peer economic activities. METHODS: This paper studies data security and privacy protection in the distributed digital economy from two aspects: economic impact and governance mechanism. Based on panel data from 30 provinces in China from 2018 to 2023, this paper uses the entropy weight-TOPSIS method, a two-way fixed effects model, a mediation effect model, and a spatiotemporal heterogeneity model to empirically test the economic impact and transmission mechanism of data security and privacy protection on the distributed digital economy. RESULTS: The empirical analysis results show that the level of data security and privacy protection significantly and positively promotes the development of the distributed digital economy, with each unit increase leading to a 0.412 unit increase in the development index. Blockchain smart contracts, privacy computing standards, and cross-border data flow rules play significant mediating roles, accounting for 93.7% of the total mediating effect. This positive economic effect exhibits significant spatiotemporal differences, increasing year by year, and is significantly higher in the eastern region than in the central and western regions. CONCLUSION: Based on empirical analysis results, optimization paths are proposed from four levels: collaborative governance, technology empowerment, regional balance, and institutional improvement, in order to improve the level of data security and privacy protection in the distributed digital economy.
The purpose of the research is to explore the latest trends in blockchain and cryptocurrency adoption. Cryptocurrency has been drawing the attention of individual investors. Although institutional investors had been hesitant to invest in cryptocurrencies due to lack of clarity regarding regulations, recent legislation encouraged them to add cryptocurrency to their investment portfolios. However, blockchain the underlying technology of cryptocurrency, has also drawn the attention of both companies and researchers. The aim of this study is to identify the latest trends through an analysis of publications on blockchain and cryptocurrency adoption. To achieve that, the study adopts a bibliometric approach by using both VOSviewer and Bibliometrix programs after obtaining the required dataset from Web of Science (WOS). The results exhibit the latest trends as well as both qualitative and quantitative statistics, such as the growth rate, density and relations among different studies on the subject.
Shriya Harinath, Sameeha Ayman Khan, Sanjana M, Riya · 5 authors
Blockchain technology has emerged as one of the most disruptive and consequential innovations of the twenty-first century, promising to fundamentally alter how data is stored, verified, and transferred across distributed networks without reliance on any central authority. The technology's core attributes—decentralization, immutability, transparency, and cryptographic security—offer profound implications for sectors as varied as finance, healthcare, supply chain management, land administration, and legal adjudication. In the context of India, a nation undergoing rapid digital transformation and grappling with ambitious governance reform, blockchain represents both an extraordinary opportunity and a formidable regulatory challenge. India's existing legal architecture, built around legislation such as the Information Technology Act of 2000, the Indian Contract Act of 1872, and the Prevention of Money Laundering Act, was designed for a pre-blockchain world and has not kept pace with the accelerating demands of decentralized technology deployment. This paper presents an original, empirical, and multidisciplinary investigation into the intersection of blockchain technology and the Indian legal framework. Drawing upon a systematic analysis of prior scholarly literature, government policy documents, judicial decisions, and regulatory pronouncements, the study identifies critical lacunae in India's current legal provisions that impede the full-scale adoption of blockchain in both public and private sector contexts. The research specifically examines the enforceability of smart contracts under Indian contract law, the recognition of distributed ledger-based digital signatures under the IT Act, data privacy obligations under the Digital Personal Data Protection Act of 2023 vis-à-vis blockchain's inherent data immutability, and the treatment of virtual digital assets under recent tax and anti-money laundering provisions. The methodology combines a structured literature review of forty-three peer-reviewed papers, government white papers, and institutional reports with a thematic synthesis approach that clusters findings around five core dimensions: regulatory clarity, judicial recognition, technological standards, cross-border governance, and industry-specific deployment challenges. Our analysis reveals that India is at a pivotal regulatory juncture. While the government has taken proactive steps through the National Blockchain Strategy of the Ministry of Electronics and Information Technology (MeitY) and Niti Aayog's foundational blockchain framework, these policy documents remain aspirational rather than legally binding, leaving practitioners, businesses, and courts without actionable statutory guidance. The paper identifies five principal challenges that obstruct blockchain's legal integration: first, the absence of explicit statutory recognition of blockchain records as valid legal evidence under the Indian Evidence Act; second, ambiguity surrounding the enforceability of self-executing smart contracts absent human intervention; third, the jurisdictional complexity arising from cross-border blockchain transactions; fourth, the tension between the right to be forgotten under emerging data protection law and the permanence of blockchain records; and fifth, the lack of standardized technical and operational frameworks governing permissioned versus permissionless blockchain implementations in regulated industries. Based on these findings, the paper advances a set of targeted policy recommendations including legislative amendments to the IT Act to formally recognize blockchain records, the creation of a dedicated blockchain regulatory sandbox, judicial training programs, and India's accession to international instruments on electronic commerce and arbitration. The findings contribute to an emerging body of literature on technology law in developing economies and offer actionable guidance for policymakers, legal practitioners, and technology adopters in India. This research is intended as a novel scholarly contribution and not a reproduction of any prior work.
This manuscript is a preprint that has been submitted to a peer-reviewed journal and is currently under review. It is shared for early academic dissemination and has not yet undergone final journal publication. The study presents a comprehensive comparative analysis of three widely used blockchain consensus algorithms: Proof of Work (PoW), Proof of Stake (PoS), and Delegated Proof of Stake (DPoS). The analysis evaluates key performance factors including energy consumption, security, scalability (transaction throughput), decentralization level, transaction confirmation time, and real-world adoption rate. Based on findings from peer-reviewed literature and empirical on-chain data, PoW provides the highest level of security but has extremely high energy consumption (over 150 TWh annually). PoS significantly reduces energy usage by approximately 99.9% compared to PoW while maintaining security through economic incentives. DPoS offers the highest scalability in terms of transactions per second but introduces trade-offs in decentralization.
Abstract. Transaction costs are considered one of the key factors determining the efficiency of market mechanisms in modern economic systems. Contract enforcement, data collection and verification, trust assurance between parties, and monitoring mechanisms generate additional costs for economic agents. In particular, in the context of global trade and the digital economy, the increase in these costs can limit the efficiency of market operations. In recent years, the rapid development of blockchain technology has created new institutional and technological opportunities to reduce transaction costs. This distributed ledger technology minimizes the need for intermediaries, ensures data immutability, and enhances transparency in economic relations. This paper analyzes the role of blockchain technology in reducing transaction costs based on economic theory and existing scholarly approaches. Within the research framework, the mechanisms through which blockchain technology addresses information asymmetry, automates contract enforcement, and strengthens trust mechanisms are examined. The main objective of this study is to evaluate the potential efficiency benefits of blockchain technology and scientifically demonstrate its strategic importance in reducing transaction costs.
This paper is about the design and implementation of a blockchain based digital money transfer system for the Sri Lankan financial ecosystem. The project creates a tokenised digital currency called LKRt (Sri Lanka Rupee Token) and provides a safe, transparent and tamper-resistant platform for peer-to-peer financial transactions. The system was built with Python (Flask), JavaScript, Supabase and a bespoke blockchain engine that was created from the ground up. Its core features include Proof of Work (PoW) consensus, cryptographic wallets based on ECDSA, digitally signed transactions, real-time conversion of currency based on smart contracts, and a Progressive Web Application (PWA) front-end. This research presents the application of the blockchain technology in decentralise financial systems with security, transparency and transaction integrity. The project also examines the possibility of blockchain as a local digital payment infrastructure. Future developments such as Proof of Stake consensus and decentralised node deployment are suggested. Keywords: Blockchain, Cryptocurrency, Digital Payments, Proof of Work, ECDSA, Smart Contracts, Flask, Supabase, Progressive Web Application, Sri Lanka, FinTech, Cybersecurity
India maintains its position as the central hub which has driven cryptocurrency from its initial experimental phase into a global financial revolution. India leads the world in blockchain adoption because it has 119 million crypto users, which makes it the top country for blockchain adoption. The nation enforces a 30 percent flat tax on Virtual Digital Asset earnings. This does not allow taxpayers to reduce their tax burden through loss deductions while it also requires a 1 percent Tax Deducted at Source. The paper analyzes how India has developed its regulatory framework and studies the Finance Act 2022 tax system impacts, and Digital Rupee expansion, and Web3 startup network, and decentralized finance potential for financial inclusion in India. The study shows that India allows about 60 percent of cryptocurrency transactions to occur outside its borders because of its current regulatory system, which is based on information from RBI publications and government policy documents, and Supreme Court rulings, and IMF and FATF reports, and Chainalysis and CoinSwitch industry data, and financial journalism until early 2026. The paper demonstrates that India requires a single regulatory framework, which provides fairness and clarity, and future-oriented guidance to achieve its digital asset economy potential.
Abstract India’s handloom sector, the country’s second-largest rural employer after agriculture, faces existential threats from counterfeiting, power-loom imitations, fragmented supply chains, and declining artisan incomes. This study explores how blockchain-enabled traceability and Non-Fungible Token (NFT) integration can authenticate handloom products, protect intellectual property, ensure fair remuneration to artisans, and open premium global markets. Drawing on secondary data from government reports (2024–2026), academic literature, and emerging case studies, the paper finds that blockchain-based Digital Product Passports (DPPs) combined with NFTs can create tamper-proof provenance records while enabling royalty mechanisms for creators. Despite infrastructural and digital-literacy barriers, pilot initiatives demonstrate potential for 20–40% income uplift and reduced counterfeit penetration. The research highlights policy and technological pathways to integrate these tools with existing schemes such as the Handloom Mark and Geographical Indication (GI) tags. Ultimately, blockchain and NFTs offer a viable digital bridge between traditional craftsmanship and modern consumer demand for authenticity and sustainability.
Abstract The one among primary source of Indian national GDP is MSME sector, presently functions under a “Compliance Paradox” though Goods and Service Tax (GST) has digitalized revenue collection, the dependence on batch-based processing and non-transparent algorithms facing major systemic inefficacy, periodic working capital lock-ups, contingent vendor liability, phantom notification burst. This article outlines a transformative roadmap powered by Autonomous Tax Administration (ATA) conceptual framework through Autonomous Jurisprudence in a real time by bridging synchronous Gateways to GSP-Edge to that of GST Suvidha Provider (GSP). ATA integrates three major cognitive layers (i) Cryptographic Invoice Provenance (for digital birthright we use Zero-Knowledge Proofs), (ii) Stability-Weighted Anomaly Detection (to mathematically distinguish clerical evasion errors) (iii) SHAP-based Explainable AI (XAI) for transparency. Finally I recommend Real-Time Credit Liquidity Protocol (RTCLP), which leverages a dynamic Autonomous Trust Index (ATI) to release Input Tax Credit (ITC) instantly upon generating invoice. This transforms a manual “sunk cost” tax compliance into real-time “liquidity assets”. 1.Introduction Background The current GST 2.0, is designed to serve for a 5 trillion economy which shows a structural maturation of a highly optimized fiscal architecture design for indirect tax regime of India. As of February 2026, the shift toward AI-powered “Agentic Automation” to harmonize India’s environment with international best practices, reform has transcended simple tax subsumption to address deep-seated inefficiencies in resources allocation, compliance equity and revenue resilience. Which insist Tech-driven fiscal transformation 2.Problem Statement MSME sector face a “Compliance Paradox “ despite successful digitalization of the tax base, Digitalization and Automation has created Aggressive Automated Compliance (widely described as “Notice Terrorism” in the trade circles) environment. Current batch-based systems trigger automated intimations, such as Form DRC-01B and DRC-01C, when deviations in tax liability or Input Tax Credit (ITC) cross prescribed risk thresholds. This retrospective type reconciliation often results in the immediate blocking of subsequent return fillings and the lock-up of critical working capital. 3.Research Objectives 1. To design a conceptual framework for an Autonomous Tax Administration (ATA) that replaces reactive enforcement with proactive facilitation 2. To develop a model that secures the digital birthright of transactions using cryptographic provenance. 3. To integrate real-time credit liquidity protocols into the existing digital public infrastructure (DPI). 4.Significance The Indian MSME sector remains the backbone of the economy, yet micro-firms have registered a lower average turnover growth (4.1%) compared to small and medium firms (8.9%) due to lower digital readiness. The ATA framework seeks to reallocate the 28.6 hours per month MSME sector currently spent on manual compliance back into productivity. Furthermore by providing “Logic Certificates” of cryptic notices, the ATA can reduce the backlog of over 14000 appeals currently pending in the nascent GST Appellate Tribunal system. 5.Research Questions 1. How can Gradient-Boosted AI differentiate between stochastic clerical errors and systematic evasion in the real-time? 2. Can an evolved GSP-led cryptographic provenance model eliminate vendor-chain liability without imposing new hardware costs on MSME sector? 6.Scope and Limitation The study focuses on the Indian MSME sector and assumes adoption of API-first ERP systems or GSP-Edge Gateways. It is limited by current legislative constraints regarding fully autonomous punitive adjudication and the digital divide in rural infrastructure. 7.Literature Review GST and MSMEs Post-GST turnover data suggests that larger SMEs are better positioned to leverage tax benefits due to professionalized digital accounting (Bhalla et al., 2023; Kumar & Kumar, n.d.). For smaller entities, ITC mismatches between GSTR-3B and GSRTR-2B remain the primary driver of administrative friction, with unresolved DRC-01C notices exposing businesses to recovery proceedings under Section 73 or 74 (Anantham, 2025; GSTR-3B & ITC Errors Leading to GST Notices, n.d.) Autonomous Tax Administration The OECD “Tax Administration 3.0” vision envisions tax compliance as seamless, automated by product of business activity. The model advocates for a “Connected once, comply everywhere” approach, where service providers manage the complexities of data transmission, allowing the tax authority to act as an invisible partner in commerce(taxguru_in & Goyal, 2023). Theoretical Framework The research introduce Autonomous Jurisprudence, which means a legal philosophy were AI act as a functional “agent” of the state, (AI handles the scale and speed of administrative interactions), but framework authority is strictly bound by a “human-in-the-loop” while human judiciary retains the moral and punitive finality. This framework prioritizes the Three pillars recognizing that particularly those of accountability and understandable by design, while AI can facilitate real-time interactions, administrative law necessitates that humans retain meaningful control over punitive adjudication to ensure fairness and avoid bias. Conceptual Framework for Autonomous Tax Administration (ATA) Core Principles of ATA framework operates on three pillars: Facilitation-First (prioritizing error correction over penalties), Real-Time Transparency (Using XAI to explain system decisions), Infrastructure Resilience (ensuring rural accessibility through store and forward logic). Key components GSP-Edge Gateway: This component leverages the existing network of GST Suvidha Providers (GSPs)- authorized intermediaries that connect taxpayers to GSTN. By evolving the GSP’s role into an “Edge Gateway,” the system performs cryptographic Zero-Knowledge Proofs (ZKP) at the GSP level rather than requiring expensive hardware at the MSME’s storefront. Gradient-Boosted Anomaly Detection: The “Intent Filter” that mathematically distinguishes stochastic clerical noise from systemic evasion patterns. Shap-based Explainable AI (XAI): The “Interpreter” that provides plain-English “logic certificates” for every system flag. Cryptography Invoice Provenance: The Cryptography Invoice Provenance performs the action of “Anchor” that digital birth right of every transaction, to regulate synthetic forgery Integration of Components The framework utilizes a Synchronous Bridge to authorized GSP hubs to connect with tax AI of MSME ERPs. Inspired by UPI Lite and Aadhar offline XML to accommodate rural infrastructure the framework adopts Store-and-Forward architecture, where Zero Knowledge Proofs is embedded with local time stamps during network drops asynchronously. Proposed workflow Event Trigger: MSME generates an invoice in an ONDC-compatible app or ERP. Integrity Anchor: The GSP-Edge Gateway performs a ZKP check to lock the digital birth right of the transaction. Cognitive Scoring: Gradient-Boosted models assign a real time ATI score Facilitation Loop: If a minor variance is found the SHAP module generates a Logic Certificate and an instant auto-correction prompt. Instant Liquidity: Once validated, the RTCLP activates, releasing ITC to the Electronic cash ledger in under 3 seconds. 8.Methodology Research Design The framework adopts a Design Science Research (DSR) methodology to create and evaluate ATA framework by tecno-legal artifact, this approach ensures the model is technically viable and legally sound through a couple of iterations. Data collection Empirical analysis of GSTN automated notice volumes (DRC-01B/C logs) and UPI transaction surges( e.g., the 14,000 cases identified in Karnataka) served as the primary data source for identifying systematic friction points. Analytical Tools Mathematical formulations were developed to simulate the Autonomous Trust Index (ATI): where V_a is the verification Authenticity, C_s is the compliance stability, L_g is the Ledger Governance and N_s is the network Stability. Expected Outcomes and impact Efficiency Gains Moving from “monthly filling” to invisible compliance, the ATA targets a near zero labour burden for MSMEs, reallocating valuable human hours back into the economy. Fiscal integrity Precision in identifying systematic evasion, thereby reducing audit load on honest tax payers. By eliminating synthetic surgery through ZKP anchors with projected 95% precision. Transparency The framework replaces black box algorithm with a citizen-centre charter that translate Jargon into clear public value: Technical term Citizen centric translation Benefit Stochastic error Simple Typo Instant correction no notice Lambda architecture Real time verification Instant ITC availability SHAP Logic Clear recent for flags Transparency in system actions ZKP Provenance Secure digital birthright Protection from vendor default 9.Discussion Theoretical implication The ATA framework redefines the “social contract” between the STATE and MSMEs through “Trust-by-Design”. By treating the governance as infrastructure, the system assumes compliance as a default state for high ATI actors. Limitations A critical legal anchor is the Guwahati High court ruling in construction catalyser Vs State of Assam (2024) which held that summary notice in DRC-01 are supplementary and cannot substitute a proper show cause notice authenticated by a proper officer. Furthermore, section 75(4) of the CGST act mandates a personal hearing before any adverse order is passed. Consequently, AI in the ATA framework act as investigator facilitator while human officers must remain in final Adjudicator for punitive actions to preserve
Stock markets in emerging economies are shaped by a combination of global integration and domestic financial drivers. In recent years, modern variables such as cryptocurrencies have drawn attention as potential new determinants of equity performance. This study evaluates the comparative influence of traditional variables-Foreign Institutional Investor (FII) flows, USD/INR exchange rate, and NIFVIX-and a modern variable, Bitcoin returns, on the Nifty50 index. Monthly data spanning January 2015 to January 2025 were collected from Investing.com and Moneycontrol. Nifty50, Bitcoin, and USD/INR series were converted into log returns, while FII flows and NIFVIX were used in their original form. Correlation analysis and simple linear regression were done by using Microsoft Excel to measure associations and explanatory power. The results indicate a clear hierarchy of explanatory strength. USD/INR log returns emerged as the most influential determinant, explaining 26% of Nifty50 return variation with a strong negative relationship. NIFVIX explained 14% of the variation, also with a negative and highly significant effect. Bitcoin returns exhibited a modest but statistically significant positive effect, explaining around 8% of the variance. In contrast, both FII equity and total flows were statistically insignificant. The findings suggest that traditional variables-particularly exchange rates and volatility indices-remain dominant drivers of Indian equity returns, while modern variables such as Bitcoin are new but not yet central. The study contributes by showing one of the first systematic comparisons between traditional and modern variables in the Indian equity market context. Keywords: Nifty50, Bitcoin Returns, Foreign Institutional Investors (FII), USD/INR Exchange Rate, NIFVIX, Traditional vs. Modern Variables, Indian Stock Market
This paper argues that India's Goods and Services Tax Network has already produced, through tax incentive rather than cryptographic consensus, the supply chain properties — traceability, transparency, fraud reduction, and audit trail — that the blockchain literature proposes to deliver through distributed ledger technology. The argument is not that blockchain does not work. It is that the mechanism that produces tamper-resistance is the incentive, not the technology, and India already has that mechanism at national scale. The paper's original theoretical contribution is a two-player simultaneous-move game formalizing the bilateral incentive structure that the VAT self-enforcement literature has assumed in prose but never derived from primitives. The unique Nash equilibrium (F,D) — formal supplier, demanding buyer — is obtained by iterated elimination of weakly dominated strategies and sustained by a single precise condition: τv > c_B, the input tax credit exceeds the buyer's cost of sourcing from a registered alternative. No audit is required at the transaction level. The ITC does the work that enforcement cannot. The upstream formalization cascade — empirically documented by Patnaik (2026) as a doubling of effects over five years — follows directly as this equilibrium applied iteratively upstream, tier by tier, without government intervention at each stage. To the author's knowledge, this micro-foundation does not appear elsewhere in the VAT literature. Pomeranz (2015), Kleven et al. (2011), and de Paula and Scheinkman (2010) treat the self-enforcement intuition as motivation or derive aggregate implications; none writes down the strategic form game or states the equilibrium condition in falsifiable form. The empirical case rests on scale. FY2024-25 gross collections of Rs. 22.08 lakh crore (approx. USD 263 billion). April 2025 single-month record of Rs. 2.37 lakh crore (approx. USD 28 billion). 1.51 crore active registered taxpayers. Six phases of e-invoicing threshold reduction from Rs. 500 crore to Rs. 5 crore, directionally toward universal pre-validated coverage. GST 2.0 implemented September 22, 2025. The Production Linked Incentive scheme disbursing billions to Apple's contract manufacturers on the basis of GSTN-verified production data — the sovereign proof that the infrastructure is trusted for the highest-stakes commercial verification the government performs. The implication for Indian FMCG, pharmaceutical, and logistics firms is direct: private blockchain consortia built to solve domestic supply chain transparency problems are solving a solved problem at non-zero cost.
This paper argues that India's Goods and Services Tax Network has already produced, through tax incentive rather than cryptographic consensus, the supply chain properties — traceability, transparency, fraud reduction, and audit trail — that the blockchain literature proposes to deliver through distributed ledger technology. The argument is not that blockchain does not work. It is that the mechanism that produces tamper-resistance is the incentive, not the technology, and India already has that mechanism at national scale. The paper's original theoretical contribution is a two-player simultaneous-move game formalizing the bilateral incentive structure that the VAT self-enforcement literature has assumed in prose but never derived from primitives. The unique Nash equilibrium (F,D) — formal supplier, demanding buyer — is obtained by iterated elimination of weakly dominated strategies and sustained by a single precise condition: τv > c_B, the input tax credit exceeds the buyer's cost of sourcing from a registered alternative. No audit is required at the transaction level. The ITC does the work that enforcement cannot. The upstream formalization cascade — empirically documented by Patnaik (2026) as a doubling of effects over five years — follows directly as this equilibrium applied iteratively upstream, tier by tier, without government intervention at each stage. To the author's knowledge, this micro-foundation does not appear elsewhere in the VAT literature. Pomeranz (2015), Kleven et al. (2011), and de Paula and Scheinkman (2010) treat the self-enforcement intuition as motivation or derive aggregate implications; none writes down the strategic form game or states the equilibrium condition in falsifiable form. The empirical case rests on scale. FY2024-25 gross collections of Rs. 22.08 lakh crore (approx. USD 263 billion). April 2025 single-month record of Rs. 2.37 lakh crore (approx. USD 28 billion). 1.51 crore active registered taxpayers. Six phases of e-invoicing threshold reduction from Rs. 500 crore to Rs. 5 crore, directionally toward universal pre-validated coverage. GST 2.0 implemented September 22, 2025. The Production Linked Incentive scheme disbursing billions to Apple's contract manufacturers on the basis of GSTN-verified production data — the sovereign proof that the infrastructure is trusted for the highest-stakes commercial verification the government performs. The implication for Indian FMCG, pharmaceutical, and logistics firms is direct: private blockchain consortia built to solve domestic supply chain transparency problems are solving a solved problem at non-zero cost.
Dr. Tejaswini S, Bhashitha Jain P L, Neil Chris Dsouza, Vibha Bhat
I. INTRODUCTION Cryptocurrency has rapidly transformed from a niche technological curiosity to a mainstream financial asset with millions of participants across the globe, and India is no exception to this trend. By 2022, India was estimated to have one of the largest populations of cryptocurrency holders in the world, with figures ranging from 10 to 20 crore users according to various industry reports. This explosive growth brought an urgent question to the forefront of Indian tax policy: how should gains and income arising from such digital assets be taxed, and how should compliance be ensured in a space that has historically operated in a regulatory grey zone? The term cryptocurrency, or more broadly Virtual Digital Asset (VDA), refers to any information, code, number, or token - other than Indian currency or foreign currency — generated through cryptographic means, providing a digital representation of value exchanged with or without consideration. Bitcoin, Ethereum, and a wide spectrum of altcoins and non-fungible tokens (NFTs) fall under this definition as formally adopted in India's Finance Act 2022. The Finance Act 2022 was a watershed moment in India's regulatory journey with digital assets. It introduced Section 115BBH into the Income Tax Act, 1961, which imposed a flat 30% tax on income arising from the transfer of VDAs, irrespective of the holding period or the taxpayer's income slab. Simultaneously, Section 194S mandated Tax Deducted at Source (TDS) at 1% on payments related to VDA transfers, placing the obligation on crypto exchanges and certain buyers to withhold tax at the point of transaction. These twin provisions created a definitive, if controversial, legal framework for cryptocurrency taxation in India.
ABSTRACT The global financial system has undergone a profound transformation in recent years, driven by rapid advancements in financial technology and the emergence of digital currencies. Digital currencies, including cryptocurrencies, stablecoins, and Central Bank Digital Currencies (CBDCs), are reshaping the traditional banking landscape by introducing faster, more efficient, and cost-effective methods of conducting financial transactions. These innovations have significantly altered the way individuals and institutions interact with financial systems, reducing reliance on physical cash and traditional intermediaries. This research study aims to analyze the impact of digital currencies on traditional banking institutions, with a particular focus on operational efficiency, customer behavior, and institutional adaptability. The study is based on both primary and secondary data. Primary data has been collected through structured questionnaires targeting a diverse group of respondents, while secondary data has been gathered from reliable sources such as RBI reports, research journals, and industry publications. The research evaluates key factors such as awareness, adoption patterns, perceived benefits, and challenges associated with digital currency usage. The findings of the study indicate that digital currencies enhance transaction speed, reduce operational costs, and improve customer experience by offering convenient and secure financial services. However, the study also highlights significant challenges, including cybersecurity risks, regulatory uncertainty, lack of standardization, and limited awareness among certain segments of the population. Furthermore, traditional banks face increasing competition from fintech firms and decentralized financial platforms, compelling them to innovate and adapt their business models. The study concludes that digital currencies have the potential to significantly transform traditional banking institutions into more efficient, transparent, and customer-centric systems. However, successful integration requires robust regulatory frameworks, technological infrastructure, and enhanced financial literacy among users to ensure sustainable growth and stability in the financial ecosystem. Index Terms: Digital Currencies, Cryptocurrencies, Stablecoins, Central Bank Digital Currencies (CBDCs), Traditional Banking, FinTech, Operational Efficiency, Customer Behavior, Institutional Adaptability, Transaction Speed, Cost Reduction, Cybersecurity, Regulatory Frameworks, Financial Literacy, Decentralized Finance (DeFi).