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

Subscription price

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.