Search
22 articles for “algorithm-based”
-
Role of Artificial Intelligence in Inclusive and Digital Lending in India
Abstract: A vast majority of the population, especially the rural and low-income strata of the society, lacks access to credit from financial institutions. Lack of documented income, issues in ascertaining the customer identity and creditworthiness, relatively high distribution, and service cost are barriers to financial inclusion. In the post-COVID era, these customers may further be isolated and deprived of formal credit. Artificial intelligence (AI) offers novel ways of assessing creditworthiness, repayment …
Published in NOLEGEIN Journal of Information Technology & Management Read article
-
Analysis of the factors affecting the Electric Vehicle (Two-wheeler) sales in India using Machine learning models
Abstract: The adoption of electric two wheelers in India is the result of a complex interplay involving vehicle range charging infrastructure, technological advances, government policies and consumer perception. This study investigates these factors in detail to present a comprehensive understanding of how they influence the transition to electric mobility for environmental concerns and the need for reduction in dependence on fossil fuels. Electric two wheelers are emerging as a primary solution …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 8, Issue 1, 2025 · pp. 1–9 Read article
-
Algorithmic Trading on Trading Systems
Abstract: Stock market analysis is a platform for evaluating Indian enterprises on the National Stock Exchange of India which has over 5000 listed companies. The benefits of algorithmic trading are numerous. With a hybrid model based on LS-SVM (Least Squares Support Vector Machines), we can make more money. To avoid overfitting, use a square support vector machine (SVM) combining different modules such as analysis, prediction, and stock guru analysis, search, developer, …
Published in NOLEGEIN Journal of Global Marketing · Vol. 5, Issue 1, 2022 Read article
-
The Intelligent Frontier: Orchestrating AI and Machine Learning for Advanced Financial Fraud Detection
Abstract: Traditional rule-based systems cannot match that scale. They are too slow, too rigid, and too reactive. This paper examines how AI and ML are reshaping fraud detection. It evaluates LSTMs, GNNs, and Transformers as detection tools. Mastercard reported a 20% uplift in fraud detection rates. The paper also maps two emerging frontiers: Agentic AI and Quantum Graph Neural Networks. Strategic guidance is offered throughout CFOs and finance leaders. Global financial …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 30–37 Read article
-
A Fuzzy Based Heuristic Approach to Solve Cell Formation Problems
Abstract: A fuzzy based heuristic approach is proposed to solve multi-objective cell formation problems. This approach consists of a real coded genetic algorithm and fuzzy logic. The proposed technique is applied in two successive stages. Firstly, the minimum and maximum value of each objective is determined by using a single objective genetic algorithm. In the second stage, fuzzy logic concept is incorporated to calculate the degree of membership for individual objective. …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 4, Issue 1, 2021 Read article
-
Decentralized Finance (DeFi) versus Traditional Finance in India: RegulatoryChallenges, Emerging Opportunities, and Security Risk Governance
Abstract: The conventional financial system in India, which oversees assets worth more than ₹220 trillion and provides services to more than 500 million account holders, is facing a new challenge from the fast expansion of blockchain-based decentralised finance (DeFi) protocols. This is an unprecedented turning point in the country's financial ecosystem. There are pressing concerns regarding the regulatory framework, systemic opportunities, and security governance frameworks suitable for India's specific socioeconomic situation …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
-
A Novel Approach to Optimizing Assignment Problems in Business Economics Strategies
Abstract: The assignment problem is a fundamental optimization challenge in business economics, where resources or tasks must be allocated efficiently to minimize costs or maximize productivity. Traditional methods, such as the Hungarian algorithm, provide optimal solutions but fail to incorporate dynamic business constraints such as fluctuating economic conditions, priority-based assignments, and fairness considerations. This paper proposes a novel approach that integrates priority-based assignment modelling, a dynamic cost adjustment mechanism, and an …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 8, Issue 1, 2025 · pp. 10–14 Read article
-
Critical Analysis of Online Fraud Prevention and Legal Frameworks inIndia: A Meta-Analytic Review
Abstract: Increased digitalization of the financial and government systems in India means that there is an augmented prospect of online frauds, therefore making it a challenge that needs integrated efforts with superior technologies and solid legal frameworks. This meta- analytic review critically looks into the amalgamation of emergent aspects of artificial intelligence, deep learning, and biometric authentication with the emerging legal aspects of fraud prevention in the Indian situation. Biometric systems, …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 · pp. 12–21 Read article
-
Using the Big-data concept to create a Financial Risk Management Model
Abstract: With the advent of the era of big data, although enterprises have certain strategic choices in the process of active early warning of financial operational risks, the effect of this early warning method is not obvious due to a lack of understanding. In order to find leading indicators for early warning offinancial crises and to control risks as soon as possible, this paper will apply the concept of decisiontree algorithms …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 6, Issue 1, 2023 · pp. 17–27 Read article
-
AI-Driven Human Resource Management: Challenges, Opportunities, and Ethical Imperatives
Abstract: Artificial Intelligence (AI) is increasingly influencing Human Resource Management (HRM) by introducing intelligent tools that support advanced decision-making and strategic workforce management. Organizations are adopting AI-driven solutions to streamline HR functions such as talent sourcing, employee assessment, workforce forecasting, engagement analysis, and retention planning. These systems enhance speed, consistency, and analytical depth in HR operations, enabling organizations to move beyond intuition-based practices. Despite these advantages, the application of AI in …
Published in NOLEGEIN Journal of Performance Management & Retention Strategies · Vol. 9, Issue 1, 2026 · pp. 1–5 Read article
-
Knowledge Databases: Structure, Function, and Strategic Importance in the Digital Era
Abstract: Knowledge databases play a vital role in contemporary information systems by enabling the systematic storage, organization, and utilization of organizational knowledge. In an era characterized by rapid data generation and digital transformation, organizations increasingly depend on structured knowledge repositories to support informed decision-making and operational efficiency. Knowledge databases combine documented information, experiential insights, and technological tools to transform raw data into meaningful and actionable knowledge. This paper examines the fundamental …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 9, Issue 1, 2026 Read article
-
The Use of Big Data Analytics in Operations Research: Challenges and Opportunities
Abstract: Organizations are producing exponentially more data as a result of the development of technology and data. This big data presents a significant opportunity for organizations to gain insights and optimize their operations, particularly in the field of operations research (OR). Big data analytics (BDA) is a rapidly growing field that focuses on the use of advanced techniques and technologies to extract insights from large and complex datasets. The integration of …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 5, Issue 2, 2022 · pp. 1–4 Read article
-
Investigating The Role of Trust and Behavioral Barriers in Shaping Investor’s Decision to Delegate Portfolio Management to AI-Driven Robo-Advisors
Abstract: AI-based Robo-advisors have emerged at a striking pace across the Indian financial landscape, with disciplined, low-cost investment management options increasingly becoming accessible to a diverse retail investor market. Yet the decision to relinquish portfolio management to these algorithms is one substantial psychological hurdle that many still face. This paper aims to assess the role of trust dimensions and behavioral obstacles in adopting Robo-advisory services among Indian investors. Using secondary data …
Published in NOLEGEIN Journal of Organizational Behavior Management · Vol. 9, Issue 1, 2026 · pp. 1–9 Read article
-
The Accuracy Paradox in AI Equity Markets: A Regime-AwareTrading Strategy using XGBoost and Walk-Forward Optimization
Abstract: This study investigates the “Accuracy Paradox” in algorithmic equity trading by examining whether a machine learning model with near-random directional prediction accuracy can still generate profitable trading outcomes when combined with effective risk- management and market-regime rules. An XGBoost classifier was developed and evaluated using approximately six years of daily market data from five major technology stocks—NVIDIA, Apple, Microsoft, Alphabet, and Meta—covering the period from January 2020 to February 2026. …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
-
Energy-Efficient Neuromorphic Spiking Neural Networksfor Real-Time Event-Driven Stock Market Prediction: A Systematic Review
Abstract: I believe that neuromorphic computing and financial prediction is now a genuinely exciting, yet under-researched, area of applied machine learning study. The paper presents a systematic literature review of the literature based on energy efficient Spiking Neural Networks (SNNs) in forecasting events-based real-time stock market data. Event based in character Financial time-series data is not continuous in nature, but consists of major discrete events like significant price changes, volume surges, …
Published in NOLEGEIN Journal of Financial Planning And Management · Vol. 9, Issue 2, 2026 Read article
-
Algorithm in E-commerce logistics
Abstract: First, the logistics information for e-commerce is explained. A detailed analysis is also done on the block chain technology, cryptography technology, block chain consensus algorithm, block chain application scenarios, and other relevant technologies. In the end, a block chain model for tracking logistical information in real-time for e-commerce is developed. It is discovered that data will only be saved on the chain when more than 51% of the distributed system's …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 7, Issue 1, 2024 · pp. 6–11 Read article
-
A Strategic HRM Framework Integrating Cognitive, Generative, and Sentient AI for Talent Intelligence in Smart Enterprises
Abstract: The accelerating integration of artificial intelligence (AI) within smart enterprises has significantly reshaped the scope and effectiveness of Human Resource Management (HRM). As organizations increasingly rely on intelligent systems, HR functions are evolving from administrative support to strategic decision-making roles. This study proposes a comprehensive strategic HRM framework that integrates three advanced AI paradigms – Cognitive AI, Generative AI, and Sentient AI – to strengthen talent intelligence and workforce planning. …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 9, Issue 1, 2026 Read article
-
Enhancing agriculture supply chains through regional demand forecasting with Machine Learning Algorithms
Abstract: With the stats analysis of 2014 of Our Country Agricultural supply chain faces a significant inefficiencies as the intermediate stakeholders capture the large portion of the value, in this scenario farmers only earn about 31 to 43 percent of final market price. This imbalance contributes to higher consumers expenditures and unequal income distribution and substantial post harvest waste. To tackle these challenges this research introduces kisaankart which is a machine …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 1, 2026 · pp. 8–15 Read article
-
Optimizing Enterprise Financial Risk Management: An Advanced Ensemble Machine Learning Framework for Transactional Fraud Mitigation and Business Continuity
Abstract: Transactional fraud represents a critical threat to enterprise risk management (ERM) and corporate governance, draining billions annually from global financial infrastructures. The Nasdaq Global Financial Crime Report estimates total fraud losses at $485.6 billion annually, with credit card fraud alone accounting for $28.6 billion. Managing this operational vulnerability is severely challenged by data asset asymmetry, where legitimate transactions dwarf fraudulent anomalies by a ratio exceeding 500:1. Standard classification models trained …
Published in NOLEGEIN Journal of Business Risk management · Vol. 9, Issue 2, 2026 Read article
-
Artificial Intelligence Adoption and Performanceefficiency in Accounting Systems of Emergingeconomies: an Analytics Maturity Perspective
Abstract: This study examines the association between Artificial Intelligence (AI) adoption and performance efficiency in accounting systems of emerging economies, with analytics maturity as a mediating variable. The study uses the Technology Acceptance Model (TAM) and Resource-Based View (RBV) as supporting lenses. Analytics maturity is operationalized using a composite measurement index (Data Analytics Maturity Indicators – DAMI). A cross-sectional descriptive and explanatory survey design was adopted. Primary data were collected from …
Published in NOLEGEIN Journal of Business Ethics , Ethos & CSRw · Vol. 9, Issue 2, 2026 · pp. 6–12 Read article