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136 articles for “analytics”
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HR Analytics: Building a New Era to Redefine HR dimensions
Abstract: Human resource has invariably been a vital quality to a company. To realize competitive advantage, worker ought to be treated as a vital resource and, therefore, by orientating human resource to the core business strategy, organizations can come through success in competitive era. Since ages, Human resource has invariably been thought of at the terribly core of organization success. Time unit analytics play a vital role by orientating time unit …
Published in NOLEGEIN Journal of Performance Management & Retention Strategies · Vol. 1, Issue 2, 2018 · pp. 44–49 Read article
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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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When Technology Maturity Matters: a Moderated Regression Study of Forensic Analytics and Fraud Detection
Abstract: Purpose: Data‐driven forensic analytics (DDFA) is widely promoted as a key tool for fraud detection, yet organisations report mixed results. This study investigates whether the effectiveness of DDFA depends on the organisation’s technological maturity – defined asthe sophistication of IT infrastructure, data governance, and analytical skills. Design/Methodology/Approach: A two‐wave longitudinal survey was conducted with 210 finance and audit professionals in a large emerging economy; 178 completed both waves (retention 84.8%). …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 9, Issue 2, 2026 · pp. 1–11 Read article
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A Study on Role of HR Analytics in Improving the Employee Retention
Abstract: This study explores their effectiveness of employee retention in an IT service company this research aims for determine the facts of influencing so that will be identify the HR analytics in improving the retention strategies that will be helps to improve the researches so, here the information will be carried through the structured questionnaire from 111 employees. This study reveals that the HR analytics acts as important fact to improve …
Published in NOLEGEIN Journal of Human Resource Management & Development · Vol. 9, Issue 2, 2026 Read article
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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 & CSR · Vol. 9, Issue 2, 2026 · pp. 6–12 Read article
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Data Analytics First, Controls Second, Auditing Third: Ranking the Relative Strength of Three Fraud Detection Mechanisms
Abstract: Purpose: In the era of digital finance, organizations deploy multiple mechanisms to combat fraud, including Data-Driven Forensic Analytics (DDFA), Internal Control Integrity (ICI), and Continuous Auditing Systems (CAS). However, practitioners often struggle with resource allocation, unsure which mechanism yields the highest return on investment. This study addresses this gap by empirically ranking the relative strength of these three predictors in explaining Fraud Detection Effectiveness (FDE). Design/methodology/approach: The study synthesizes empirical …
Published in NOLEGEIN Journal of Organizational Behavior 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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Developing the Future of Management: Strategic Innovation Using Design Thinking and Business Analytics
Abstract: Design thinking is a new, human-cantered approach that promotes creative problem-solving by combining empathy, ideation, and iterative procedures. By combining many viewpoints and cooperative ideas, it goes beyond conventional approaches and is defined as the application of collective wisdom to complicated problems. In management, design thinking enables companies to promote innovation, connect strategies with user-centric solutions, and overcome uncertainty. When paired with business analytics, design thinking gains a powerful edge, …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 8, Issue 1, 2025 · pp. 19–26 Read article
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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
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An Empirical Assessment of Integrated Fraud Detection Mechanisms:Evidence from Finance and Audit Professionals
Abstract: This study examines the effectiveness of an integrated fraud detection framework combining data‑driven forensic analytics, internal control systems, and continuous auditing mechanisms. While prior research often examines these components in isolation, this study adopts a unified empirical approach to assess their joint contribution to perceived fraud detection effectiveness. Design/methodology/approach: A quantitative cross‑sectional design is employed using primary survey data collected from 120 finance, audit, and risk professionals across banking, manufacturing, …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 9, Issue 2, 2026 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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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
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Smart Libraries and Digital Transformation: Integrating AI, IoT, and Data Analytics for Next-Generation Information Services
Abstract: The present paper examines the transformative impact of emerging technologies, including Artificial Intelligence, the Internet of Things (IoT), Cloud Computing, and Data Analytics, on contemporary library operations. It explores how the integration of these technologies contributes to the development of smart libraries that enhance accessibility, improve operational efficiency, and deliver personalized, user-centered services. The study highlights the role of automation, real-time data processing, and intelligent systems in streamlining cataloguing, resource …
Published in NOLEGEIN Journal of Information Technology & Management · Vol. 9, Issue 2, 2026 · pp. 1–6 Read article
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Management of Practical Problems Related to the Term-End Examinations (An Educative, Analytical and Ethical Approach for Understanding)
Abstract: Examinations are the compulsory Tests to be conducted by every educational institution when the required number of working days and teaching-learning days are completed to determine the standard of the students. As per the Choice Based Credit System, there will be two examinations namely Internal Examinations and External Examinations. As far as the Internal Examinations, the concerned subject faculty has to seriously and sincerely conduct two to three tests, seminars …
Published in NOLEGEIN Journal of Business Ethics, Ethos & CSR · Vol. 3, Issue 2, 2020 · pp. 25–37 Read article
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An Analytical Study of Dividend Policy on Alkem Laboratories limited
Abstract: A dividend is the percentage of a company's net earnings that are given to each shareholder as a return on their investment in the business. A company's dividend policy outlines how it will distribute dividends. A dividend policy outlines the process by which a business will distribute dividends to its owners. The payout details in this structure include the frequency, timing, and amount of distribution. In this study researcher analyze …
Published in NOLEGEIN Journal of Corporate & Business Laws · Vol. 7, Issue 1, 2024 · pp. 14–19 Read article
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An Analytical Study on Relationship Between Spending on CSR and Market Price of a Share of IT Services & Consulting Companies Listed on NSE
Abstract: Every business carries out all of its activities within the society, hence it become moral duty of a business to pay some compensation to the society in which it operates. The activities conducted by a business for the betterment of the society is known as Corporate Social Responsibility. As per Companies Act, 2013 it become compulsory to formulate the Committee for CSR and spend some amount towards such social activities. …
Published in NOLEGEIN Journal of Business Risk Management · Vol. 6, Issue 2, 2023 · pp. 6–11 Read article
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An analytical study on adoption of digital wallet & its effect on consumer behavior (A research conducted in Delhi-NCR)
Abstract: This study on adoption of digital wallets & it’s the effect on consumer behavior was conducted to determine if and what has been the contribution of digital wallets in a cash-based payment system. Practically, this research will be useful for the business stakeholders of digital wallets who would like to expand the business to earn more market share. Subsequently, he discussed the risks and challenges faced by consumers while using …
Published in NOLEGEIN Journal of Financial Planning and Management · Vol. 2, Issue 1, 2019 · pp. 1–10 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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From Perception to Empirical Association: an Integrated Assessment of Fraud Detection Effectiveness Using Forensicanalytics, Internal Controls, and Continuous Auditing
Abstract: The increasing complexity of financial transactions and the limitations of perception‑based fraud detection studies necessitate empirically grounded frameworks that move beyond subjective assessments. This study advances the literature by examining the associations among data‑driven forensic analytics (DDFA), internal control systems (ICS), continuous auditing (CA), and fraud detection effectiveness (FDE) using an integrated empirical assessment. An integrated model combining these three mechanisms is developed. A quantitative cross‑sectional research design is adopted, …
Published in NOLEGEIN Journal of Financial Planning and 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