Special Issue Title: Performance Evaluation and Strategic Analytics in Modern Economic and Managerial Systems

Guest Editorial Team:
Prof. A. Edalatpanah (Lead Guest Editor)
Ayandegan Institute of Higher Education, Iran
Email id:  s.a.edalatpanah@aihe.ac.ir & saedalatpanah@gmail.com

Prof. Peter Wanke
COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Brazil
Email id: peter@coppead.ufrj.br

Prof. Robert S. Keyser
Kennesaw State University, Marietta, Georgia 30060, USA
Email id:  rkeyser@kennesaw.edu

Prof. Seyyed Esmaeil Najafi
Science and Research Branch, Islamic Azad University, Tehran, Iran
Email id:  enajafi@aihe.ac.ir

Special Issue Information

The rapid evolution of global economies, fueled by technological advancements, digital transformation, and sustainability imperatives, has presented unprecedented challenges and opportunities in the economic and managerial domains. Modern economic systems are characterized by intricate interdependencies, finite resources, and the necessity to adapt dynamically to ever-changing environments. Policymakers and organizations are increasingly tasked with navigating complex trade-offs between growth, environmental sustainability, and equity. These multifaceted challenges call for innovative strategies in performance evaluation, decision-making, and analytics to enhance organizational efficiency and resilience while addressing global economic and social issues such as climate change, resource scarcity, and sustainable development.
In this context, the rise of big data, artificial intelligence (AI), and advanced analytics offers unparalleled opportunities to address these pressing challenges. By leveraging predictive modeling, optimization techniques, and data-driven insights, economic and managerial systems can achieve greater adaptability, foresight, and efficiency. These advancements, however, bring their own set of challenges, including the need to manage vast data streams, ensure ethical decision-making in AI applications, and create equitable access to these cutting-edge tools across diverse economic contexts. This special issue aims to explore these challenges and opportunities by presenting innovative methodologies, frameworks, and applications that integrate AI, big data, and strategic analytics into performance evaluation and decision-making processes in modern economic and managerial systems.

Objectives of the Special Issue:
1.    Advance Knowledge: To encourage the development and dissemination of novel frameworks, methodologies, and tools for performance evaluation and strategic analytics in economics and management.
2.    Bridge Theory and Practice: To highlight real-world applications that demonstrate the impact of data-driven decision-making and AI on economic and managerial challenges.
3.    Inspire Research: To identify emerging trends and stimulate future exploration in AI, analytics, and performance evaluation in modern economic systems.

Topics of interest include, but are not limited to:
•    Performance evaluation frameworks in economics, management, and accounting.
•    AI-driven decision analytics for economic and managerial innovation.
•    Optimization and predictive analytics for strategic management and policy-making.
•    Applications of fuzzy systems, soft computing, and machine learning in economic decision-making.
•    Big data analytics and computational intelligence in economic research.
•    Multi-criteria decision-making and resource allocation in dynamic economies.
•    Sustainability-driven innovations in economic, accounting, and managerial systems.
•    Digital transformation and its impact on performance evaluation and decision-making.
•    Economic implications of environmental, social, and governance (ESG) factors.
•    AI and data-driven methods in resource optimization and policy development.
•    Decision-making under uncertainty in economic and managerial contexts.
•    Advanced analytics for enhancing economic resilience and innovation.
•    The role of blockchain in accounting, auditing, and economic transparency.
•    Forensic accounting and fraud detection using machine learning techniques.
•    The impact of digital currencies and cryptocurrencies on economic systems.
•    Behavioral economics and its intersection with AI and decision-making analytics.
•    Innovations in auditing: AI-based compliance, risk assessment, and anomaly detection.
•    Sustainable accounting practices and their influence on corporate performance.
•    Applications of neural networks and AI in portfolio optimization and asset pricing.
•    The economics of taxation: AI-enhanced tax compliance and policy modeling.
•    Predictive modeling for financial risk analysis and credit scoring.

Tentative Dates:
•    Submission Open Date: Feb 01, 2025
•    Submission Deadline: December 31, 2025

Submission Guidelines:
Authors wishing to submit papers for this special issue should prepare their manuscripts according to the author guidelines provided on the International Journal of Economic Sciences website. Submissions must be original and not under consideration elsewhere during the evaluation process.

All papers should be submitted under the section "Strategic Analytics in Modern Economic and Managerial Systems"

For more information about the International Journal of Economic Sciences, including details on the submission process, visit: https://ijes-journal.org/journal/about/submissions