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In today’s technology-driven economy, organizations are attempting to create a digital identity of their brand in order to remain prevalent among consumers. As today’s consumers are spending an increased amount of time on digital platforms, maintaining a presence online is crucial for companies to remain successful and relevant. Due to this necessity, there have been significant advancements made in the field of digital marketing and branding. Innovations in Digital Branding and Content Marketing is a collection of innovative research on the methods and advancements in the field of advertising and marketing using digital technologies. While highlighting topics including gamification, typography, and consumer-generated media, this book is ideally designed for advertisers, marketers, brand managers, PR professionals, content specialists, researchers, practitioners, executives, students, and academicians seeking current research on advanced strategies and developments in digital marketing.
Theoretical research on advertising effects at the individual level has focused almost entirely on the effects of advertising exposure on attitudes and the mediators of attitude formation and change. This focus implicitly assumes attitudes are a good predictor of behavior, which they generally are not, and downplays the role of memory, in that, there is generally a considerable amount of time between advertising exposure and purchase decisions in most marketing situations. Recently, a number of researchers have developed conceptual models which provide an explicit link between two separate events -- advertising exposure and purchase behavior -- with memory providing the link between these events. Originally presented at the eighth annual Advertising and Consumer Psychology Conference held in Toronto, some chapters in this volume present recent research on the role of inferences in advertising situations, the effects of exposure to multiple advertisements, message receptivity, drama advertisements and the use of EEG in measuring advertising effectiveness. Contributions focus on research examining the effects of advertising exposure on consumer information processing and decision making. This book will be of interest to consumer psychologists and professionals in advertising and marketing.
The book presents a wide selection of studies and works in the area of international communication including seven main areas: Advertising and Communication Effects; Advertising and Information Processing; Communication and Branding; Emotional, Social and Individual Aspects of Communication; Communication and New Media; International Advertising and, finally, Perspectives on the Future of International Advertising
Based on the proceedings of the 4th International Symposium on Presbyopia, held in Marrakesh, Morocco, June 5-10, 1989
Practitioner's and academicians' views are integrated in this overview of current thought regarding consumers' cognitive and affective responses to advertising.
Multinational organizations have begun to realize that sentiment mining plays an important role for decision making and market strategy. The revolutionary growth of digital marketing not only changes the market game, but also brings forth new opportunities for skilled professionals and expertise. Currently, the technologies are rapidly changing, and artificial intelligence (AI) and machine learning are contributing as game-changing technologies. These are not only trending but are also increasingly popular among data scientists and data analysts. New Opportunities for Sentiment Analysis and Information Processing provides interdisciplinary research in information retrieval and sentiment analysis including studies on extracting sentiments from textual data, sentiment visualization-based dimensionality reduction for multiple features, and deep learning-based multi-domain sentiment extraction. The book also optimizes techniques used for sentiment identification and examines applications of sentiment analysis and emotion detection. Covering such topics as communication networks, natural language processing, and semantic analysis, this book is essential for data scientists, data analysts, IT specialists, scientists, researchers, academicians, and students.