"This book provides the latest research studies, market analysis, and best practices utilized in emerging markets to gain competitive advantage and market leadership"--Provided by publisher.

This fully revised 3rd edition of Strategic Marketing: Decision-Making and Planning sets a framework for marketing decision-making as a part of a holistic approach to an organisationa s strategic management. It integrates expanded theoretical coverage with a step-by-step guide to each stage of the strategy development and management processes. The latest theories on how marketing strategy is conceptualised and practiced is examined alongside a framework to facilitate the practical application of relevant concepts, tools and techniques. A series of 10 dynamic interactive modules exploring each stage of the strategic marketing process are included and new features such as Strategy in Practice boxes and end-of-chapter Strategy in Action activities further highlight the connection between theory and application. Continuing to bridge the gap between theory learnt and the practice of writing a marketing plan or report, Strategic Marketing: Decision-Making and Planning 3e is an invaluable resource for students and practitioners alike.

Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.

Marketing Decision Making and Decision Support addresses the topic of marketing management support systems (MMSS), which are computer-enabled devices that help marketers to make better decisions.

Consumer needs and demands are constantly changing. Because of this, marketing science and finance have their own concepts and theoretical backgrounds for evaluating consumer-related challenges. However, examining the function of finance with a marketing discipline can help to better understand internal management processes and compete in today’s market. The Handbook of Research on Decision-Making Techniques in Financial Marketing is a collection of innovative research that integrates financial and marketing functions to make better sense of the workplace environment and business-related challenges. Different financial challenges are taken into consideration while many of them are based on marketing theories such as agency theory, product life cycle, and optimal consumer experience. While highlighting topics including behavioral financing, corporate ethics, and Islamic banking, this book is ideally designed for financiers, marketers, financial analysts, marketing strategists, researchers, policymakers, government officials, academicians, students, and industry professionals.

This edited volume will help business and academic researchers understand the means-end approach to understanding consumers. This is a qualitative marketing research method to gain customer insight into decision making.

This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.

Includes index.