The Special Issue on “Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases” of Journal of Business and Management Science (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 models. It is often felt that people, though apply different multivariate and forecasting techniques to solve different statistical business 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. They have a wider applications in the disciplines such as Marketing, Production Research, Human Resource, Finance, General Management, Economics, Statistics, Mathematics, Commerce etc.. In today’s competitive and dynamic business environment maintaining an equilibrium of demand and supply of products is becoming a dire need gaining competitive advantage in the industry also requires the proper estimation of the manpower requirements within the organization. So effective functioning of the organization is highly dependent on different forecasting techniques to reduce the chances of risk, failure and uncertainty. Research is the all pervasive key and the brain for decision making in any organization. The subject of business models is concept based and hence and 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 methods, distribution, framing inference, testing procedures, comparison, interpretation and managerial decision.
This special volume of the JBMS on the theme “Multivariate Techniques and Forecasting Techniques with Data Interpretations in Business Models: Applications and Cases” aims to present the recent advances in multivariate and Forecasting Techniques with data interpretation and managerial decision to solve the real life problems to the broader in different business models in addition to applications and cases of management research community. It encourages exchange, cooperation and collaboration among business, industry and Government. This special issue encompasses and bridges the following fifteen broad statistical techniques through theories, applications, and case studies.