Multiple-Criteria Decision-Making (MCDM) Techniques and Statistics in Marketing
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Marketing has become increasingly popular, utilizing multi-criteria decision making (MCDM) methods and statistics to create robust frameworks for making informed and strategic decisions. Computational and modeling breakthroughs have resulted in a significant increase in the use of MCDM methods in marketing in the past decade, making it an ideal solution for many marketing problems. Statistics can now be used to conduct MCDM analyses on a variety of marketing problems, including new product introduction and pricing, using multiple data sources. Businesses can make more informed, strategic, and ...
Marketing has become increasingly popular, utilizing multi-criteria decision making (MCDM) methods and statistics to create robust frameworks for making informed and strategic decisions. Computational and modeling breakthroughs have resulted in a significant increase in the use of MCDM methods in marketing in the past decade, making it an ideal solution for many marketing problems. Statistics can now be used to conduct MCDM analyses on a variety of marketing problems, including new product introduction and pricing, using multiple data sources. Businesses can make more informed, strategic, and effective decisions by using MCDM methods and statistical analysis in marketing. By using these tools, marketers can improve market performance and competitive advantage by optimizing product development, pricing strategies, market segmentation, and campaign effectiveness. Multiple-Criteria Decision-Making (MCDM) Techniques and Statistics in Marketing explores the effects of MCDM techniques on marketing practices. It covers a wide range of statistics and research to examine MCDM in shaping modern consumer science. This book covers topics such as management science, product development, and consumer behavior, and is a useful resource for marketers, business owners, data scientists, academicians, and researchers.
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