Focus And Scope
The focus and scope of Journal of Integrative Business Analytics (JIBA) revolve around the application of advanced analytical techniques and methods in various business domains, with a particular emphasis on the integration of statistical methods and tools. The journal aims to publish research that demonstrates the practical use of analytics in solving complex business problems and driving data-driven decision-making.
The scope of JIBA encompasses a wide range of topics related to business analytics, including:
- Statistical methods: Application of statistical techniques such as regression analysis, time series analysis, multivariate analysis, and Bayesian methods in business contexts.
- Data mining: Techniques and algorithms for extracting meaningful patterns and insights from large datasets, including association rules, clustering, and classification methods.
- Machine learning: Application of machine learning algorithms in business settings, such as customer segmentation, fraud detection, demand forecasting, and predictive modelling.
- Econometrics: Use of statistical methods to analyse economic data and test economic theories, including panel data analysis, instrumental variables, and time series econometrics.
- Operations research: Optimization techniques and mathematical modelling for decision-making in areas such as supply chain management, resource allocation, and scheduling.
- Simulation: Application of simulation techniques, such as Monte Carlo simulation and discrete-event simulation, to model and analyse complex business systems and scenarios.
- Business forecasting: Statistical and machine learning methods for forecasting demand, sales, financial markets, and other business-related variables.
- Quantitative finance: Application of statistical and mathematical methods in financial analysis, risk management, portfolio optimization, and derivative pricing.
- Marketing analytics: Use of statistical techniques and models to analyse consumer behaviour, market segmentation, pricing strategies, and advertising effectiveness.
JIBA welcomes both theoretical and empirical research contributions that advance the understanding and application of statistical methods in business analytics. The journal encourages submissions that bridge the gap between methodological developments and practical applications, providing insights and solutions relevant to decision-makers in various business sectors.
By focusing on the integration of statistical methods and tools in business analytics, JIBA aims to promote the effective use of data-driven approaches in solving real-world business problems and fostering evidence-based decision-making. The journal serves as a platform for researchers, practitioners, and experts to share their knowledge and experiences, contributing to the growth and development of the field of business analytics.
