Overview

Although there are various studies on theories and analytical techniques to address consumer behavior change in the current world, tracking consumer behavior change in the metaverse and the adoption of the metaverse remains a challenge that requires discussion. The advent of the metaverse will have a profound influence on consumer behavior, from how people make decisions and create brand connections to how they feel about their avatar embodiment and their purchases in the metaverse. Consumer Behavioral Analytics in Metaverse and the Adoption of a Virtual World investigates the social, behavioral, and psychological factors that influence metaverse adoption. The focus then shifts to concepts, theories, and analytical approaches for detecting changes in consumer behavior in the metaverse. Covering topics such as e-commerce markets, user experience, and immersive technologies, this premier reference source is an excellent resource for business executives, entrepreneurs, data analysts, marketers, advertisers, government officials, social media professionals, librarians, students and educators of higher education, researchers, and academicians.

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9781668470299

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Pantea Keikhosrokiani received the Bachelor of Science degree in electrical and electronics engineering, the master's degree in information technology from the School of Computer Sciences, Universiti Sains Malaysia (USM), Malaysia, and the Ph.D. degree in service system engineering, information system. She was a Teaching Fellow with the National Advanced IPv6 Centre of Excellence (Nav6), USM, where she is currently a Senior Lecturer with the School of Computer Sciences. Her recent book was published entitled Perspectives in the Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application, in 2019. Her articles was published in distinguished edited books and journals, including Telematics and Informatics (Elsevier), Cognition, Technology, and Work (Springer), Taylors and Francis, and IGI Global. She was indexed by ISI, Scopus, and PubMed. Her research and teaching interests include information systems development, database systems, health and medical informatics, business informatics, location-based mobile applications, big data, and technopreneurship.

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