CFBA-2026 seeks to establish a leading platform for researchers to interact and share the latest practical applications and developments in management. The conference aims to bring together renowned and upcoming researchers, academicians, experts, and practical innovators from around the world to exchange knowledge and ideas on the latest developments in the field of management. The objective is to foster collaboration and promote the advancement of the field through the exchange of practical applications and developments. We are inviting original (un-published research contributions for the conference on the following key themes, but not limited to:

• Financial Analytics: Computational Intelligence for Financial Modeling, Machine Learning in Finance, Big Data Finance and Economics, Neural Networks Modeling for Financial Application, Deep Learning Models in Finance, Probabilistic Modeling/Inference, Fuzzy Sets, Rough Sets, & Granular Computing for Financial Application, Intelligent Trading Agents, Trading Systems & Trading Room Simulation, Time Series Analysis, Panel Data Analysis, Non-linear Dynamics, Financial Data Mining, Evolutionary Computation for Financial Application, Digital Financial Reporting, Semantic Web and Linked Data, Asset Allocation Strategies, Algorithmic Trading, Trade Execution Systems, Financial Risk Management, Pricing of Structured Securities, Behavioral Finance, Evolutionary Finance, Portfolio Optimization, Arbitrage, Cryptocurrencies, Blockchain and Applications, Financial Prediction and Forecasting, Behavioral Competencies, Diversity, Equity, and Inclusion, Revenue Management, Risk and Credit Analytics, Robust Decision Making, Scenario and Sensitivity Analysis, AI-Driven Financial Forecasting, Reinforcement Learning for Trading Strategies, Natural Language Processing for Financial News Analysis, Explainable AI in Finance, AI in Fraud Detection and Prevention, Generative AI in Finance, Green Finance and ESG Analytics, Quantum-Inspired Finance, Financial Literacy through Data Visualization, Pedagogical Simulations for Financial Modeling, Gamification in Financial Education.

• Human Resource Analytics: Employee Relations, Global HR, HR Analytics, Talent Acquisition Analytics, Workload Analytics, Talent Development Analytics, Succession Planning, Employee Engagement Analytics, Compensation Analytics, Performance Measurement, AI in Talent Management, Predictive Analytics for Employee Retention, Natural Language Processing in HR Communications, AI-Driven Recruitment Tools, AI for Employee Sentiment Analysis, Automation of Routine HR Tasks, AI in Workforce Planning, Diversity, Equity, and Inclusion Analytics, Skills Gap Analytics, Ethics in Algorithmic HR Decisions, Digital Well-being Analytics, AI in Learning & Development, Adaptive Learning Platforms for Employee Training, Workplace Learning Analytics, Competency-Based Learning Models, Simulation Tools for HR Education, AI-Powered Career Path Mapping.

• Marketing Analytics: Marketing Automation, Customer Retention, Digital Marketing, Demand Generation, Social Media Marketing, Conversion Rate Optimization, Inbound and Outbound Marketing, Influencer Marketing, Marketing Analytics, Marketing Strategies and Innovations, Decision Making in Social Settings, Decision Making under Uncertainty, Decision Making with Multimedia, Decision Theory and Decision Sciences, Digital Market Design and Operation, Dimensionality Reduction, Electronic Commerce, Ethical Decision Making, Customer Relationship Management, Pricing Analytics, Retail Sales Analytics, AI in Customer Segmentation, Personalized Marketing with AI, Chatbots for Customer Service, Predictive Analytics for Market Trends, AI-Driven Content Creation, Sentiment Analysis in Marketing, Programmatic Advertising, Voice Search Optimization with AI, Neuromarketing Analytics, Generative AI in Advertising, Simulation-Based Learning in Marketing Education, Marketing Education with AR/VR, AI for Content Personalization in EdTech Campaigns, Student Engagement Analytics in Digital Marketing Platforms.

• Business Analytics: Fraud Analytics, Group Decision Making and Software, Healthcare Analytics, Informatics Theories and Applications, Intelligent Agents Technologies, Intelligent Organizations, Management Science and Operations Research, Mathematical Optimization, Multiple Criteria Decision Making, Network and Social-Graph Analysis, Optimization, Political Decision Making, Predictive Modeling, Prescriptive Methods, Public Decision Making, Security and Privacy, Sequential Decision Making, Simulation Methods and Applications, Statistical Decision Making, Supply Chain Analytics, Transportation Analytics, Web-Based Decision Making, AI in Predictive Maintenance, AI-Driven Business Intelligence, Natural Language Processing in Business Insights, Robotic Process Automation, AI for Supply Chain Optimization, AI in Customer Experience Management, Ethical AI in Business Analytics, AI for Cybersecurity, Low-Code/No-Code Analytics Tools, Real-Time Business Intelligence Dashboards, Learning Analytics, Educational Data Mining, Simulation-Based Business Training, Explainable AI for Business Education, AI in Curriculum Development, Personalized Learning in Business Analytics, Digital Assessment Tools in Business Education, Immersive Learning Environments for Business Decision Making.