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44 articles for “Predictive analytics”
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Business Intelligence and Predictive Analytics for AgribusinessSupply Chain Optimization: A Data-Driven Approach toSustainable Agricultural Management
Abstract: The rapid changes due to Digital Transformation in agriculture have opened up new possibilities to improve the performance of supply chain, decisions making and sustainability of agrifood industry using Business Intelligence (BI) and Predictive Analytics. Agrifood supply chains encounter a number of difficulties, such as, price fluctuations, uncertainty related to demand for products; loss after harvest; lack of resources; poor use of resources; and, absence of market knowledge. This research …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 Read article
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The Future of Management Accounting: Integrating Artificial Intelligence, Big Data, and Predictive Analytics for Business Optimization
Abstract: This study examines the future of management accounting through the integration of Artificial Intelligence (AI), Big Data, and Predictive Analytics as key drivers of business optimization. The research aims to evaluate how these emerging technologies enhance decision-making efficiency, improve financial forecasting accuracy, and support cost reduction strategies in modern organizations. Adopting a secondary data analysis approach, the study synthesizes global industry reports, empirical studies, and statistical data from 2020 to …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 Read article
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AI In Modern Marketing: Driving Personalization and Predictive Analytics
Abstract: Artificial intelligence (AI) is transforming the way businesses operate, bringing human-like intelligence to machines and unlocking new possibilities across industries. From voice and image recognition to advanced decision-making, machine learning, and semantic search, AI is reshaping the marketing landscape. This paper explores the current and future potential of AI in marketing, combining secondary research with real-world examples of early adopters. By examining how leading firms leverage AI-powered technologies, we aim …
Published in NOLEGEIN Journal of Management Information Systems · Vol. 8, Issue 2, 2025 · pp. 1–6 Read article
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Transforming Human Resource Management in the Age of Artificial Intelligence: Emerging Technologies, Ethical Challenges, and Future Directions – A Case Study of Indian Railways
Abstract: The adoption of Artificial Intelligence (AI) has emerged as a transformative force in public sector organizations, particularly in large-scale systems like Indian Railways, where complex human resource operations demand efficiency, accuracy, and transparency. This study examines the application of AI in payroll management and broader Human Resource Management (HRM) functions within Indian Railways, highlighting its role in optimizing administrative processes and strategic decision-making. Data-driven insights indicate that AI-enabled payroll systems …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 9, Issue 1, 2026 Read article
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AI-Assisted Personal Finance Management System with Real-Time Budget Alerts and Smart Expense Categorization
Abstract: This study presents the design and conceptual development of an AI-assisted Personal Finance Management System (PFMS) that integrates artificial intelligence, machine learning, and behavioral finance principles to enhance individual financial decision-making. The proposed system aims to address limitations of traditional financial tracking tools by incorporating real-time budget alerts, intelligent expense categorization, and predictive analytics to deliver personalized financial insights. By leveraging Natural Language Processing (NLP) and pattern recognition techniques, the …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 9, Issue 1, 2026 Read article
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Leveraging AI for Smart Supply Chain Optimization
Abstract: Supply chain management is a critical component of modern businesses, requiring efficiency, accuracy, and adaptability to meet evolving market demands. It is decision-making, automating processes, and predicting demand with high accuracy. This section analyses artificial intelligence technologies including predictive analytics and machine learning and intelligent automation because they enhance supply chain operational output. All administrative functions including real-time tracking together with forecasting and inventory management along with route optimization create …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 9, Issue 2, 2026 Read article
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MQL Propensity Model to Predict Marketing Qualified Leads
Abstract: In the evolving landscape of digital marketing, accurately identifying high-potential leads remains a critical challenge due to increasing data complexity and fragmented analytical systems. This study proposes a comprehensive framework for developing a Marketing Qualified Lead (MQL) Propensity Model aimed at enhancing lead prediction accuracy and operational efficiency. By critically examining existing lead scoring methodologies across Customer Relationship Management (CRM) systems, web analytics platforms, and campaign management tools, the research …
Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 2, 2026 Read article
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Leveraging Artificial Intelligence for Intelligent Risk Management in Small-Scale IT Projects
Abstract: Small-scale information technology (IT) projects are important in ensuring agility to the organization but portend very high mortality rates. Conventional, manual risk management models are usually highly simplistic and reactive in nature and they cannot fit the Agile/DevOps world of small and medium enterprises (SMEs) due to the lack of sufficient data, which is the central focus of this paper.1 Although Artificial Intelligence (AI) has the needed paradigm shift in …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 1, 2026 Read article
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An Analysis of Artificial Intelligence's Integration into HR Procedures and Its Effect on Organizations
Abstract: Modern HRM is changing quickly because to artificial intelligence (AI), which helps businesses automate repetitive tasks, make better decisions, and boost employee satisfaction. The way businesses handle their personnel has been profoundly impacted by the incorporation of AI technology like chatbots, predictive analytics, and automated recruitment systems. This study aims to examine the extent of Artificial Intelligence adoption in Human Resource practices and to analyze its impact on organizational efficiency …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 9, Issue 2, 2026 · pp. 1–10 Read article
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Success and Setback Profile of You tube as Advertisement Platform in Indian Market
Abstract: Advertisement plays a major role in familiarising the product or service of a firm to the public. Success of an advertisement depends on choosing the right platform and targeting potential customers and eventually creating value to the firm. People who watch videos in You Tube has tremendously increased and business firms started to explore You Tube platform in advertising their products. Success potential of an advertisement would be high if …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 3, Issue 2, 2020 · pp. 8–12 Read article
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Predictive Fraud Detection Architecture: A Multi-Method Empirical Evaluation of Data-Driven Forensic Analytics, Internal Control Systems, and Continuous Auditing Using Primary Organizational Data
Abstract: The growing complexity of financial systems and the increasing sophistication of fraudulent activities have intensified the need for predictive and data-driven fraud detection architectures. Traditional audit approaches, characterized by periodic reviews and retrospective analysis, are no longer sufficient to address real-time financial risks. This study develops and empirically evaluates a predictive fraud detection architecture that integrates data-driven forensic analytics, internal control systems, and continuous auditing mechanisms using primary organizational data. …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 9, Issue 2, 2026 Read article
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A Comparative Study of Ai-Driven and Traditional Approaches to Financial Covenant and Compliance Monitoring at Mufin Green Finance
Abstract: This study looks at how AI-driven financial covenant and compliance monitoring stacks up against traditional methods used by Mufin Green Finance, a leading non-banking financial company in India’s green finance sector. Traditionally, covenant checks depend on manual reviews, periodic audits, and rule-based systems. These processes can be slow, require a lot of labor, and are often delayed by human error. With the rise of machine learning, natural language processing, and …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 1, 2026 · pp. 8–16 Read article
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Artificial Intelligence -Driven social media: Unlocking New Possibilities for Brands and Creators
Abstract: This paper examines the transformative impact of artificial intelligence (AI) on social media marketing strategies and the relationship between brands and content creators. We explore how AI-driven technologies enhance personalization, predictive analytics, and content creation while reshaping brand-creator collaborations. Through analysis of industry case studies and current implementations, we identify how AI technologies are reshaping the digital marketing landscape in 2025. Our findings suggest that businesses implementing AI-driven strategies achieve …
Published in NOLEGEIN Journal of Advertising and Brand Management · Vol. 8, Issue 2, 2025 · pp. 1–5 Read article
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Growing Application of Forensic Accounting in Assessment and Control of Financial Crimes
Abstract: Forensic accounting has evolved into a crucial discipline in detecting and preventing financial crimes, particularly in the digital age, where cyber-enabled fraud has intensified. This study examines how forensic accounting techniques have adapted to address modern financial crimes, incorporating artificial intelligence (AI), blockchain technology, and big data analytics. The research aims to evaluate the effectiveness of these advanced tools in fraud detection and financial transparency. A combination of qualitative analysis …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 8, Issue 1, 2025 · pp. 1–15 Read article
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Exploring the Transformative Impact of Artificial Intelligence on Customer Segmentation and Precision Targeted Advertising Strategies
Abstract: The application of Artificial Intelligence (AI) in customer segmentation and targeted advertising has transformed modern marketing by enabling deeper insights and more personalized engagement with consumers. AI technologies, including machine learning, deep learning, and predictive analytics, allow businesses to analyze vast amounts of data and identify specific customer segments with remarkable accuracy. Unlike traditional methods that rely on broad demographic criteria, AI-driven segmentation incorporates behavioral, psychographic, and contextual data, creating …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 8, Issue 1, 2025 · pp. 22–31 Read article
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Artificial Intelligence in Retail: Redefining Consumer Expectations and Retail Innovation
Abstract: This study offers an updated and comprehensive perspective on the integration of artificial intelligence (AI) within the retail sector and its transformative impact on modern commerce. The rapid expansion of digital technologies, combined with the dominance of global technology leaders such as Amazon, Alibaba, Apple, Google, and Microsoft, has significantly elevated consumer expectations and redefined retail dynamics. AI technologies, including machine learning, predictive analytics, and automation, enable retailers to process …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 9, Issue 02, 2026 · pp. 1–8 Read article
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Healthcare Budgeting and Financial Planning in the Era of Value-Based Care
Abstract: Healthcare budgeting and financial planning are undergoing significant transformation in the era of value-based care (VBC). In contrast to the conventional fee-for-service (FFS) paradigm, which prioritizes volume over value, VBC is concerned with boosting patient outcomes and treatment quality while keeping costs under control. For healthcare companies, this change offers both opportunity and challenges. particularly in the realms of financial management and budgeting. To succeed in a value-based environment, healthcare …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 1–8 Read article
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Smart Finance: Leveraging Artificial Intelligence for Data-Driven Business Growth
Abstract: AI (Artificial Intelligence) has been a major factor in changing the financial landscape in recent years. The term "Smart Finance" describes use of AI tools like RPA (robotic process automation), ML (machine learning), natural language processing (NLP) to improve financial decision-making, automate repetitive tasks, and offer more in-depth understanding of how businesses operate. Financial institutions can improve customer service, manage risk better, streamline operations, and spur long-term development with this …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 8, Issue 1, 2025 · pp. 22–27 Read article
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Examining the Behavioural Impact of Artificial Intelligence Applications in E- Commerce Ecosystems
Abstract: Within e-commerce ecosystems, artificial intelligence (AI) has emerged as a disruptive force that is altering digital decision-making, personalization tactics, and consumer engagement. AI applications such as recommendation systems, chatbots, intelligent search mechanisms, and predictive analytics are rapidly affecting online purchase behaviour. With an emphasis on purchase intention, contentment, and trust, this study investigates the behavioral effects of AI apps on customers in e-commerce settings. A structured questionnaire was used to …
Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 2, 2026 Read article
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A study on Adoption of AI powered Marketing strategies with reference toRetail Industry
Abstract: Artificial Intelligence (AI) is becoming an important part of the retail industry. Retail businesses are using AI-powered marketing tools such as chatbots, recommendation systems, predictive analytics, and personalized marketing to improve customer experience and increase business performance. The main purpose of this study is to understand the adoption of AIpowered marketing strategies in the retail industry and identify the factors that influence their adoption. The study was conducted among 125 …
Published in NOLEGEIN Journal of Global Marketing · Vol. 9, Issue 2, 2026 Read article