Social media (e.g., Facebook, LinkedIn, Groupon, Twitter) have changed the way consumers and advertisers behave. It is crucial to understand how consumers think, feel and act regarding social media, online advertising, and online shopping. Business practitioners, students and marketers are trying to understand online consumer experiences that help instill brand loyalty. This book is one of the first to present scholarly theory and research to help explain and predict online consumer behavior.
In the last two years, consumers have experienced massive changes in consumption – whether due to shifts in habits; the changing information landscape; challenges to their identity, or new economic experiences of scarcity or abundance. What can we expect from these experiences? How are the world's leading thinkers applying both foundational knowledge and novel insights as we seek to understand consumer psychology in a constantly changing landscape? And how can informed readers both contribute to and evaluate our knowledge? This handbook offers a critical overview of both fundamental topics in consumer psychology and those that are of prominence in the contemporary marketplace, beginning with an examination of individual psychology and broadening to topics related to wider cultural and marketplace systems. The Cambridge Handbook of Consumer Psychology, 2nd edition, will act as a valuable guide for teachers and graduate and undergraduate students in psychology, marketing, management, economics, sociology, and anthropology.
In the ever-evolving landscape of digital innovation, businesses grapple with the challenge of deciphering dynamic consumer behavior. AI Impacts in Digital Consumer Behavior is a pioneering exploration tailored for academic scholars seeking insights into the profound influence of artificial intelligence on consumer dynamics. As businesses strive to harness the potential of data, this book serves as a beacon, offering a comprehensive understanding of the intricacies involved in tracking, analyzing, and predicting shifts in consumer preferences. This groundbreaking work not only identifies the complexities posed by the rapidly changing digital landscape but also presents a solution-oriented approach. It unveils a theoretical framework and the latest empirical research, providing scholars with a toolkit of concepts, theories, and analytical techniques. With a multidisciplinary focus on behavioral analysis, the book equips academic minds with the knowledge to navigate the challenges of the digital age. Furthermore, it addresses the ethical dimensions and ethic considerations associated with the accelerating pace of consumer behavior analysis, shedding light on the responsible use of AI technologies.
With the increasing prevalence of information, communication, and technology, including social media, in the digital economy, leveraging consumer behavior and psychology has become a dominant ground for researchers and practitioners to inspect the trends, opportunities, and challenges to social networking service (SNS) developers and online firms. These platforms have become a key channel for social interactions and networking among individuals and online communities to leverage business activities in respect to product and service visibility and sustainability via the internet. Leveraging Consumer Behavior and Psychology in the Digital Economy is a pivotal reference source that provides current research on topics relevant to consumer behavior, consumer psychology, consumer value, customer satisfaction, and loyalty and how best to utilize this research consumer behavior and psychology in the digital economy. Emphasizing critical topics in the field of consumer behavior research, this publication is a wide-ranging resource for professionals, practitioners, marketers, retailers, business managers, academics, researchers, and graduate-level students interested in the latest material on consumer behavior and psychology in the digital economy.
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
Powerful and economic sensors such as high definition cameras and corresponding recognition software have become readily available, e.g. for face and motion recognition. However, designing user interfaces for robots, phones and computers that facilitate a seamless, intuitive, and apparently effortless communication as between humans is still highly challenging. This has shifted the focus from developing ever faster and higher resolution sensors to interpreting available sensor data for understanding social signals and recognising users' intentions. Psychologists, Ethnologists, Linguists and Sociologists have investigated social behaviour in human-human interaction. But their findings are rarely applied in the human-robot interaction domain. Instead, robot designers tend to rely on either proof-of-concept or machine learning based methods. In proving the concept, developers effectively demonstrate that users are able to adapt to robots deployed in the public space. Typically, an initial period of collecting human-robot interaction data is used for identifying frequently occurring problems. These are then addressed by adjusting the interaction policies on the basis of the collected data. However, the updated policies are strongly biased by the initial design of the robot and might not reflect natural, spontaneous user behaviour. In the machine learning approach, learning algorithms are used for finding a mapping between the sensor data space and a hypothesised or estimated set of intentions. However, this brute-force approach ignores the possibility that some signals or modalities are superfluous or even disruptive in intention recognition. Furthermore, this method is very sensitive to peculiarities of the training data. In sum, both methods cannot reliably support natural interaction as they crucially depend on an accurate model of human intention recognition. Therefore, approaches to social robotics from engineers and computer scientists urgently have to be informed by studies of intention recognition in natural human-human communication. Combining the investigation of natural human behaviour and the design of computer and robot interfaces can significantly improve the usability of modern technology. For example, robots will be easier to use by a broad public if they can interpret the social signals that users spontaneously produce for conveying their intentions anyway. By correctly identifying and even anticipating the user's intention, the user will perceive that the system truly understands her/his needs. Vice versa, if a robot produces socially appropriate signals, it will be easier for its users to understand the robot's intentions. Furthermore, studying natural behaviour as a basis for controlling robots and other devices results in greater robustness, responsiveness and approachability. Thus, we welcome submissions that (a) investigate how relevant social signals can be identified in human behaviour, (b) investigate the meaning of social signals in a specific context or task, (c) identify the minimal set of intentions for describing a context or task, (d) demonstrate how insights from the analysis of social behaviour can improve a robot's capabilities, or (e) demonstrate how a robot can make itself more understandable to the user by producing more human-like social signals.
In this book, the drivers and barriers that motivate or inhibit consumers to participate in e-commerce are investigated, differentiating between the e-commerce subareas of cross-border e-commerce, voice-commerce, conversational-commerce and rental-commerce. This specification is both scientifically and practically relevant, as the different subareas of e-commerce serve different consumer needs and motivations, resulting in a diverse set of antecedents to form consumers' online shopping intentions. Both the respective literature reviews as well as the empirical results of six conducted research studies illustrate the relevance and ubiquity of the four subareas of e-commerce in consumers' everyday online shopping. On the one hand, the results represent an important basis for marketing and consumer research to support a better understanding of the behavioral psychological motives of consumers and better evaluate correlations in shopping behavior. On the other hand, practitioners benefit from the newly gained insights, as online retailers in particular can use them to better adapt their offers to consumer needs and optimize consumers’ online shopping experience.
Ever notice that all watch ads show 10:10 as the time? Or that all fast-food restaurants use red or yellow in their logos? Or that certain stores are always having a sale? You may not be aware of these details, yet they've been influencing you all along. Every time you purchase, swipe, or click, marketers are able to more accurately predict your behavior. These days, brands know more about you than you know about yourself. Blindsight is here to change that. With eye-opening science, engaging stories, and fascinating real-world examples, neuroscientist Matt Johnson and marketer Prince Ghuman dive deep into the surprising relationship between brains and brands. In Blindsight, they showcase how marketing taps every aspect of our mental lives, covering the neuroscience of pain and pleasure, emotion and logic, fear and safety, attention and addiction, and much more. We like to think of ourselves as independent actors in control of our decisions, but the truth is far more complicated. Blindsight will give you the ability to see the unseeable when it comes to marketing, so that you can consume on your own terms. On the surface, you will learn how the brain works and how brands design for it. But peel back a layer, and you'll find a sharper image of your psychology, reflected in your consumer behavior. This book will change the way you view not just branding, but yourself, too.
