The Special Issue on “Managerial Decision-Making Strategy using Statistical Techniques in Business Research Models: Concepts and Cases” of Journal of Business and Management Sciences (JBMS) aims to present new and innovative contributions in Statistical theories, applications and case studies, from a wide spectrum of academics and practitioners. This special issue spans the traditional functional areas of Business, including Production/Operations Management, Business Processes, Quantitative Economics, Accounting, Finance, Marketing, Human Resource Management, Business Administration, General Management, Commerce, Statistics, Mathematics and International Business. It also incorporates applications from the related business research models. It is often felt that people, though apply different multivariate techniques to solve different statistical business research models yet they lack the fundamental understanding to frame hypothetical inference and managerial interpretation. This special issue attempts to explore the substantiality and fundamentality associated with the techniques of multivariate and forecasting to enable managers, researchers, academicians, practitioners, data analysts, statisticians and mathematicians to handle and interpret data accurately and efficiently with innovative and interpretative approach. The dimensions of multivariate techniques are manifold. The present issue primarily emphasizes the concepts, applications and cases applying different multivariate techniques into the different academic gamut and managerial disciplines including Marketing, Production Research, Human Resource, Finance, General Management, Economics, Statistics, Mathematics, Commerce etc.. In today’s competitive and dynamic business environment maintaining equilibrium of demand and supply of products is becoming a dire need gaining competitive advantage in the industry. Business research is the all pervasive key and the brain for decision making in any organization. The subject of business research models is concept based and hence need a capsule and itemized set of concepts and cases. This special issue contains in depth coverage of the concepts, cases and techniques of research methodology, data collection and presentation, design and analysis of experiments, sampling design, sampling methods, and sampling distribution, framing inference, testing procedures, comparison, interpretation and managerial decision applying appropriate statistical techniques.