About the Journal

Scope

The International Journal of Business Analytics and Strategy (JBAS) dedicated to explore the gap between business analytics and strategic decision making along with application of data driven strategies across multiple sectors. It provides a platform for high quality interdisciplinary research that examines how data analytics are transforming the best business practices and driving innovation across multiple disciplines such as business, economic and social sciences.   

Aim and objectives

The International Journal of Business Analytics and Strategy aims to publish research that considers both theoretical frameworks and practical application in business analytics and strategic decision-making used by business to solve complex challenges, across various sectors. The journal welcomes a wide range of interdisciplinary studies, with a particular emphasis on  the strategic role of data science in decision-making, and shaping organizational strategy through advanced technologies such as artificial intelligence and machine learning.  It includes topics such as business intelligence, decision support systems, business analytics in diverse domains including finance and marketing, as well as corporate management, organizational theory, and leadership

Key areas outlining the journal's aims and objectives, contributing to academia and industry

1. Business Analytics and Strategy Formulation
   The journal explores how businesses can integrate advanced data analytics into the strategic decision-making process including forecasting, risk management, and competitive intelligence. Contributions in this domain offer insights into how analytics can enhance the formulation of long-term strategies and adaptive business models.
2. Bridging Theory and Practice
   The journal assists to bridge the gap between academic research and practical applications in the business world. By focusing on real-world case studies and theoretical advancements, the journal provides a comprehensive view of how businesses analytics shape their operations, growth  and strategic initiatives.
3. Applications of Analytics in Marketing, Finance, and Human Resources
   The journal promotes the multidisciplinary research that considers the data analytics application in various disciplines such as business, economics and social sciences, offering the data driven solutions to address business challenges. It also focuses the data analytics application across business processes including customer service, finance and supply chain management.
4. Business Models and Decision-Making Processes Using Advanced Analytics
   This journal encourages innovative organizational models and strategies for addressing complex business challenges. It also explores decision-support systems, artificial intelligence and machine learning applications that help business leaders to make informed decisions
5. Corporate Governance and Leadership from an Analytics Perspective
   The journal’s aim to explore how corporate governance and leadership practices can be enhanced through data analytics approaches and to generate evidence-based strategies for businesses and governments.
6. Innovations in Business Intelligence for Strategic Advantages
   The journal focuses on recent advancements in business intelligence (BI) tools and methodologies transforming strategic decision making. These advancements help businesses to identify trends and market opportunities  that drives proactive decisions
7. Advancing Ethical Analytics Practices
   The journal contributes to the development of a responsible business analytics culture through addressing moral dilemmas such as data protection and responsible data usage. It serves as platform for thought leadership exploring how businesses can tackle the challenges of ethical data use and implementing standards that promote both organizational success and societal well-being.
8. Collaborative Research and Knowledge Sharing
   The journal's goal is to support collaborative research that connects academia, industry, and government to address common concerns and data analytics application to achieve social and business development.