Decoding Digital Consumer Behavior
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Decoding Digital Consumer Behavior
Author: Alfonso Pellegrino
language: en
Publisher: Springer Nature
Release Date: 2024-05-30
This book is a call to adopt more ethical, sustainable, and consumer-focused approaches in the digital era. The focus on consumer perceptions and expectations in a digital context is particularly relevant, as it delves into the psychological and behavioral aspects of digital interactions. The chapters on digital consumption and risk, and memory in the digital world, are pivotal in understanding how digital mediums impact consumer choices and brand recall. Online persuasion, a key topic, explores ethical and effective strategies for influencing consumer behavior, emphasizing the importance of authenticity and trust. The discussion on social comparison and its implications in digital consumption underscores the psychological impact of digital platforms. The chapters on humanistic and sustainable marketing, and digital customer experience, reflect the growing importance of ethical, sustainable practices, and customer-centric approaches in building brand loyalty. The book is an essential guide for marketing professionals and students, offering a comprehensive understanding of the complex interplay between digital marketing strategies and consumer behavior.
Decoding Consumer Behavior Using the Insight Equation and AI Marketing
In an era characterized by data abundance and technological advancements, marketing is undergoing a profound transformation. The integration of AI into marketing strategies and the development of the AI marketing matrix have become crucial tools for understanding and decoding consumer behavior. Insights from marketing, technology, psychology and ethics offer a holistic perspective on the integration of AI in marketing, enabling the implementation of AI-driven strategies for enhanced consumer engagement and data-informed decision-making. Decoding Consumer Behavior Using the Insight Equation and AI Marketing explores the historical context, technology, applications and ethical considerations of AI in marketing. It covers the historical evolution of marketing and consumer behavior, dives into the mechanics of AI and data analytics, explores the psychology behind consumer choices and investigates the practical implementation of AI technologies in marketing strategies. Covering topics such as brand storytelling, music recommendation systems, and green energy, this book is an excellent resource for marketing professionals, digital marketers, data analysts, data scientists, business owners, ethics and privacy professionals, technology enthusiasts, scholars, academicians, and more.
Revolutionizing Hospitality Management Systems With AI, VR, and Machine Learning
The hospitality industry is experiencing transformative shifts with the integration of cutting-edge technologies like artificial intelligence (AI), virtual reality (VR), and machine learning (ML). These innovations enhance hospitality management, from personalized customer service and efficient booking systems to immersive guest experiences and predictive analytics. AI-powered chatbots and virtual assistants streamline communication and service delivery, while machine learning algorithms analyze guest data to predict preferences and optimize operations. VR offers virtual tours that elevate marketing and planning experiences for customers. Together, these technologies may improve efficiency while redefining guest satisfaction standards and operational excellence. Revolutionizing Hospitality Management Systems With AI, VR, and Machine Learning explores how hospitality management technology affects business and organizations. It examines how to use these technologies to strengthen business strategic positions against competitors. This book covers topics such as digital technology, gastronomy, and management science, and is a useful resource for business owners, engineers, managers, academicians, researchers, and data scientists.