Synopsis
Artificial intelligence (AI) reshapes marketing by enabling data-driven decisions that enhance efficiency, precision, and personalization. AI can also become a powerful tool for advancing diversity, equity, and inclusion (DEI) in marketing strategies. By analyzing data, AI uncovers biases, detects underrepresented demographics, and guides inclusive content creation and audience targeting. However, leveraging AI for DEI comes with challenges. Algorithms are only fair if the data utilized is properly monitored, and organizations often risk reinforcing existing biases. When successfully integrated, AI-driven decision-making holds potential to foster more inclusive marketing practices that engage diverse audiences and reflect the values of equity and representation in a global marketplace. AI-Driven Decision-Making for Diversity, Equity, and Inclusion in Marketing explores the connection between generative AI (GenAI) and DEI for marketing decision-making in multicultural domains. It examines how DEI principles can be integrated into GenAI models for more ethical, inclusive, and efficient marketing strategies. This book covers topics such as global business, customer service, and digital marketing, and is a useful resource for business owners, sociologists, computer engineers, academicians, researchers, and scientists.
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About the Author
Theodore Tarnanidis is a marketing scholar, adjunct professor at the International Hellenic University and researcher in Applications of D.Sc. and MCDA. Theodore has six years experience as a marketing and decision making practitioner. He made his post-doc research in the area of sustainable entrepreneurship from the University of Macedonia. He obtained a Ph.D. from the University of London Met., UK. He received his M.B.A from Liverpool University, UK and is a graduate from the University of Macedonia (Business Administration) and Alexander Technological Educational Institute (Marketing). His research focuses on International Marketing, Multi-cultural Marketing, Marketing Management, Consumer Science by Means of Rank-Coded Data, Preference Measurement Techniques, Quantitative Methods & Structural Equation Modelling. His work has been published in various internationally renowned scientific conferences (Academy of Marketing, European Marketing Academy, PROMETHEE Days, Hellenic Operational Research) and in journals (Journal of Business Ethics, World Review of Entrepreneurship, Management and Sustainable Development, Journal of Retailing and Consumer Services, Current Issues in Tourism
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Hardcover. Condition: new. Hardcover. Artificial intelligence (AI) reshapes marketing by enabling data-driven decisions that enhance efficiency, precision, and personalization. AI can also become a powerful tool for advancing diversity, equity, and inclusion (DEI) in marketing strategies. By analyzing data, AI uncovers biases, detects underrepresented demographics, and guides inclusive content creation and audience targeting. However, leveraging AI for DEI comes with challenges. Algorithms are only fair if the data utilized is properly monitored, and organizations often risk reinforcing existing biases. When successfully integrated, AI-driven decision-making holds potential to foster more inclusive marketing practices that engage diverse audiences and reflect the values of equity and representation in a global marketplace. AI-Driven Decision-Making for Diversity, Equity, and Inclusion in Marketing explores the connection between generative AI (GenAI) and DEI for marketing decision-making in multicultural domains. It examines how DEI principles can be integrated into GenAI models for more ethical, inclusive, and efficient marketing strategies. This book covers topics such as global business, customer service, and digital marketing, and is a useful resource for business owners, sociologists, computer engineers, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798337367316
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