Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing

Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing

Anil Kumar (ABV-Indian Institute of Information Technology & Management, India) and Manoj Kumar Dash (ABV-Indian Institute of Information Technology & Management, India)
Release Date: October, 2015|Copyright: © 2016 |Pages: 368
ISBN13: 9781466688087|ISBN10: 1466688084|EISBN13: 9781466688094|DOI: 10.4018/978-1-4666-8808-7

Description

The decision-making process has become a challenge in modern organizations due to increased access to information and large data sets. When considering single-criteria problems, the decision making process is extremely intuitive. On the other hand, multi-criteria decision making, which involves several factors, requires further consideration and more sophisticated methods.

Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing applies fuzzy theory and multi-criteria decision making principles for better practice in the digital business environment. Presenting timely research and case studies on practical implementation of such theories in the digital marketplace, this publication is designed for use by business professionals, executives, graduate-level students, and researchers.

This research-focused publication features discussions on several key concepts useful for modern business professionals including decision-making models and fuzzy theory applied to internet marketing, consumer behavior, and the optimization of strategic marketing plans.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Competitive advantage
  • Consumer Behavior
  • Customer Relationship Management
  • Decision-Making Frameworks
  • E-marketing
  • Fuzzy Theory
  • Online Product Information
  • Optimization techniques

Reviews and Testimonials

Editors Kumar and Kumar Dash collect contributions from a wide variety of experts in the field of digital marketing on the application of fuzzy theory and multi-criteria decision making (MCDM) principles for best practices in digital business and marketing. The fourteen chapters that make up the main body of the text are organized in five parts devoted to fuzzy MCDM in the digital marketplace, consumer decision making in the digital marketplace, the application of fuzzy MCDM for strategic decision making in the digital marketplace and other related subjects.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Anil Kumar holds an MSc (Mathematics) and MBA in Marketing Science. He has consistently a brilliant academic career. He holds an MSc (Mathematics), and MBA (Marketing) with two years of teaching experience. He had published more than 10 research papers in various journals of International and National repute. His area of interest are Multi-Criteria Decision, Making (MCDM), Fuzzy Optimization, Econometrics Modelling in Marketing, Application of Soft Computing in Marketing.
Manoj Kumar Dash is currently an Assistant Professor in the Department of Management Science at ABV-Indian Institute of Information Technology & Management, Gwalior (M.P), India. He earned his M.A., M.Phil., Ph.D. and M.B.A. in Marketing from Berhampur University, Berhampur (Orissa). He published more than 53 research papers in various journals of International and National repute. He is the author of three books and edited five books. He was involved as Chair Member in conducted International Conference of Arts and Science held at Harvard University, Boston (USA). His areas of research are: Marketing Science, Consumer Behavior, Behaviour Economic, Decision Making Modelling, Fuzzy Multi-criteria Optimization, and Marketing Research. 3Deepesh Kumar Singh is pursuing 5 year Integrated Post Graduate Program at Indian Institute of Information Technology & Management, Gwalior. His areas of research are Mulch-Criteria Decision Modelling, Customer Behaviour, Business Statistics and Online Marketing.