Adoption and Implementation of AI in Customer Relationship Management
Adoption and Implementation of AI in Customer Relationship Management

Author: Singh, Surabhi

Publisher: IGI Global

Published: 2021-10-15

Total Pages: 289

ISBN-13: 1799879615

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Integration of artificial intelligence (AI) into customer relationship management (CRM) automates the sales, marketing, and services in organizations. An AI-powered CRM is capable of learning from past decisions and historical patterns to score the best leads for sales. AI will also be able to predict future customer behavior. These tactics lead to better and more effective marketing strategies and increases the scope of customer services, which allow businesses to build healthier relationships with their consumer base. Adoption and Implementation of AI in Customer Relationship Management is a critical reference source that informs readers about the transformations that AI-powered CRM can bring to organizations in order to build better services that create more productive relationships. This book uses the experience of past decisions and historical patterns to discuss the ways in which AI and CRM lead to better analytics and better decisions. Discussing topics such as personalization, quality of services, and CRM in the context of diverse industries, this book is an important resource for marketers, brand managers, IT specialists, sales specialists, managers, students, researchers, professors, academicians, and stakeholders.

Artificial Intelligence for Marketing Management
Artificial Intelligence for Marketing Management

Author: Park Thaichon

Publisher: Taylor & Francis

Published: 2022-11-10

Total Pages: 213

ISBN-13: 1000780309

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Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals.

Handbook of Marketing Decision Models
Handbook of Marketing Decision Models

Author: Berend Wierenga

Publisher: Springer

Published: 2017-07-12

Total Pages: 598

ISBN-13: 3319569414

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The Second Edition of this book presents the state of the art in this important field. Marketing decision models constitute a core component of the marketing discipline and the area is changing rapidly, not only due to fundamental advances in methodology and model building, but also because of the recent developments in information technology, the Internet and social media. This Handbook contains eighteen chapters that cover the most recent developments of marketing decision models in different domains of marketing. Compared to the previous edition, thirteen chapters are entirely new, while the remaining chapters represent complete updates and extensions of the previous edition. This new edition of the Handbook has chapters on models for substantive marketing problems, such as customer relationship management, customer loyalty management, website design, Internet advertising, social media, and social networks. In addition, it contains chapters on recent methodological developments that are gaining popularity in the area of marketing decision models, such as structural modeling, learning dynamics, choice modeling, eye-tracking and measurement. The introductory chapter discusses the main developments of the last decade and discusses perspectives for future developments.

The Routledge Companion to Strategic Marketing
The Routledge Companion to Strategic Marketing

Author: Bodo B. Schlegelmilch

Publisher: Routledge

Published: 2020-11-24

Total Pages: 501

ISBN-13: 1351038648

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The Routledge Companion to Strategic Marketing offers the latest insights into marketing strategy. Bodo Schlegelmilch and Russ Winer present 29 specially commissioned chapters, which include up-to-date thinking on a diverse range of marketing strategy topics. Readers benefit from the latest strategic insights of leading experts from universities around the world. Contributing authors are from, among others, the U.S. (Berkeley, Cornell, MIT, New York University, Texas A&M), Europe (the Hanken School of Economics, INSEAD, the University of Oxford, the University of Groningen, WU Vienna) and Asia (the Indian School of Business, Tongji University). The topics addressed include economic foundations of marketing strategy, competition in digital marketing strategy (e.g. mobile payment systems and social media strategy), marketing strategy, and corporate social responsibility, as well as perspectives on capturing the impact of marketing strategy. Collectively, this authoritative guide is an accessible tool for researchers, students, and practitioners.

Handbook of the Economics of Marketing
Handbook of the Economics of Marketing

Author:

Publisher: North Holland

Published: 2019-09-21

Total Pages: 632

ISBN-13: 0444637591

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Handbook of the Economics of Marketing, Volume One: Marketing and Economics mixes empirical work in industrial organization with quantitative marketing tools, presenting tactics that help researchers tackle problems with a balance of intuition and skepticism. It offers critical perspectives on theoretical work within economics, delivering a comprehensive, critical, up-to-date, and accessible review of the field that has always been missing. This literature summary of research at the intersection of economics and marketing is written by, and for, economists, and the book's authors share a belief in analytical and integrated approaches to marketing, emphasizing data-driven, result-oriented, pragmatic strategies.

Artificial Intelligence in Marketing
Artificial Intelligence in Marketing

Author: K. Sudhir

Publisher: Emerald Group Publishing

Published: 2023-03-13

Total Pages: 247

ISBN-13: 1802628770

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Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI).

Industry 4.0: The Power of Data
Industry 4.0: The Power of Data

Author: Luis R. Izquierdo

Publisher: Springer Nature

Published: 2023-07-07

Total Pages: 376

ISBN-13: 3031293827

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This book is a compilation of some of the best papers presented at the 15th International Conference on Industrial Engineering and Industrial Management in 2021. The Conference was promoted by ADINGOR (Asociación para el Desarrollo de la Ingeniería de Organización), organized by the University of Burgos, and it took place online on July 8 and 9, 2021. The book highlights some of the latest research advances and cutting-edge analyses of real-world case studies on industrial engineering and industrial management from a wide range of international contexts. It also identifies business applications and the latest findings and innovations in operations management and decision sciences. Industry 4.0: The Power of Data will help academic researchers and practitioners in industrial engineering and industrial management to keep abreast of state-of-the-art developments in these subjects.

Marketing in a Digital World
Marketing in a Digital World

Author: Aric Rindfleisch

Publisher: Emerald Group Publishing

Published: 2019-09-19

Total Pages: 294

ISBN-13: 1787563413

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Marketing in a Digital World consists of nine essays on how the digital revolution has affected marketing theory and practice. Leading marketing scholars, including several editors of premier academic journals, provide fresh insights for both scholars and managers seeking to enhance their understanding of marketing in a digital world.

History Of Marketing Science, The (Second Edition)
History Of Marketing Science, The (Second Edition)

Author: Russell S Winer

Publisher: World Scientific

Published: 2023-06-16

Total Pages: 848

ISBN-13: 9811272247

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The field of marketing science has evolved significantly in the last 70 years. Throughout its rich history, developments in this field have always been anchored on marketing phenomena that drew on economics, statistics, operations research, and related disciplines. This book reviews the accomplishments of notable marketing scientists in several research areas. It emphasizes both the role and the importance that pioneers in marketing science have had in the rapid development of this field and honors those contributions.This second edition of the book offers updates of the former chapters and six new chapters on emerging areas of marketing science including machine learning, field experimentation methods, and internet marketing. Combined with older areas of research like endogeneity, services, and market segmentation, this book provides a road map for the development of 22 areas of marketing science, which not only is useful from a historical perspective but also identifies important gaps in the literature which can provide an impetus for future research. As such, it provides an important resource for the main consumers of the academic marketing research literature: doctoral students, faculty, and marketing science practitioners in consulting firms and companies.

Data Science for Entrepreneurship
Data Science for Entrepreneurship

Author: Werner Liebregts

Publisher: Springer Nature

Published: 2023-03-23

Total Pages: 532

ISBN-13: 303119554X

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The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.