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Author's Guide

Call for Papers

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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 and Deep Learning in Finance

  • Big Data in Finance and Economics

  • Neural Networks for Financial Applications

  • Probabilistic Modeling

  • Fuzzy Sets and Granular Computing

  • Intelligent Trading Agents and Systems

  • Trading Room Simulation

  • Time Series Analysis and Non-linear Dynamics

  • Financial Data Mining

  • Evolutionary Computation

  • Digital Financial Reporting

  • Semantic Web and Linked Data

  • Asset Allocation Strategies

  • Algorithmic Trading

  • Financial Risk Management

  • Structured Securities Pricing

  • Behavioral and Evolutionary Finance

  • Portfolio Optimization

  • Cryptocurrencies and Blockchain Applications

  • Financial Prediction and Forecasting

  • Revenue Management

  • Risk and Credit Analytics

  • Scenario and Sensitivity Analysis

  • AI-Driven Financial Forecasting

  • Reinforcement Learning for Trading

  • Natural Language Processing for Financial News

  • Explainable AI in Finance

  • AI in Fraud Detection


  • Human Resource Analytics:

  • Employee Relations

  • Employee Engagement

  • Natural Language Processing in HR

  • AI for Employee Sentiment Analysis

  • Automation of Routine HR Tasks

  • Diversity, Equity, and Inclusion Analytics

  • Talent Acquisition and Development Analytics

  • Workload and Succession Planning

  • Compensation and Performance Analytics

  • AI in Talent Management and Workforce Planning

  • Predictive Analytics for Employee Retention


    • Marketing Analytics:

    • Marketing Automation

    • Customer Retention

    • Digital Marketing

    • Demand Generation

    • Conversion Rate Optimization

    • Inbound and Outbound Marketing

    • Marketing Strategies and Innovations

    • Decision Making under Uncertainty

    • Ethical Decision Making

    • Customer Relationship Management

    • Pricing and Retail Sales Analytics

    • Chatbots for Customer Service

    • Predictive Analytics for Market Trends

    • AI-Driven Content Creation

    • Sentiment Analysis

    • Programmatic Advertising

    • Voice Search Optimization with AI

    • Social Media and Influencer Marketing

    • AI in Customer Segmentation and Personalized Marketing


    • Business Analytics:

    • Fraud Analytics

    • Group Decision Making

    • Healthcare Analytics

    • Intelligent Agents

    • Management Science

    • Mathematical Optimization

    • Network and Social-Graph Analysis

    • Predictive and Prescriptive Modeling

    • Public and Political Decision Making

    • Security and Privacy

    • Simulation Methods

    • Supply Chain and Transportation Analytics

    • Web-Based Decision Making

    • AI in Predictive Maintenance and Business Intelligence

    • Robotic Process Automation

    • AI for Supply Chain Optimization

    • Customer Experience Management

    • Ethical AI in Business Analytics

    • AI for Cybersecurity