International Journal of Business Forecasting and Marketing Intelligence
- Editor in Chief
- Prof. Angappa Gunasekaran
- ISSN online
- 1744-6643
- ISSN print
- 1744-6635
- 4 issues per year
Efficient integration of mathematical techniques and marketing intelligence is of crucial importance for a successful business forecasting process. IJBFMI, a fully refereed journal, publishes articles that link current practice and theory in the business forecasting field. This includes new forecasting domains (e.g. rule-based forecasting, fuzzy logic forecasting, spline regression forecasting, etc.) and the growing area of business/marketing intelligence involving environmental scanning, “brain" monitoring, innovative intelligence methodologies, coopetition, strategic decision support systems, etc.