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Artificial intelligence (AI) continues to transform firm-customer interactions. However, current AI marketing agents are often perceived as cold and uncaring and can be poor substitutes for human-based interactions. Addressing this issue, this article argues that artificial empathy needs to become an important design consideration in the next generation of AI marketing applications. Drawing from research in diverse disciplines, we develop a systematic framework for integrating artificial empathy into AI-enabled marketing interactions. We elaborate on the key components of artificial empathy and how each component can be implemented in AI marketing agents. We further explicate and test how artificial empathy generates value for both customers and firms by bridging the AI-human gap in affective and social customer experience. Recognizing that artificial empathy may not always be desirable or relevant, we identify the requirements for artificial empathy to create value and deduce situations where it is unnecessary and, in some cases, harmful., Author(s): Yuping Liu-Thompkins [sup.1] , Shintaro Okazaki [sup.2] , Hairong Li [sup.3] Author Affiliations: (1) grid.261368.8, 0000 0001 2164 3177, Strome College of Business, Old Dominion University, , 2123 Constant [...]

Over the past two decades, everyday users have become a prominent force in the advertising landscape. They actively participate in conversations with and about brands by creating, amplifying, and interacting with brand-related messages. These user activities generate large volumes of structured and unstructured data that advertisers can mine to understand consumer interests and preferences. In this article, we survey insights from the user-generated content literature through the computational advertising lens to offer a road map for future research. Specifically, we discuss three roles that users play—as creators, metavoicers, and propagators. For each role, we present key research areas that can benefit from a computational approach, identify the opportunities and challenges, and propose questions for future research. We also discuss the practical implications of applying computational methods to study users and user-generated content for advertisers. [ABSTRACT FROM AUTHOR]

In this study, we seek to understand how four dimensions of national business systems surrounding the corporate headquarters of multinational firms influence corporate technological entrepreneurship (CTE). After controlling for fairly [...]

Ad spending in the Asia-Pacific region is estimated to have reached $210.43 billion in 2018, or 33.5% of worldwide ad spending (McNair [74]). From these two approaches, research studies consider a general set of topics, including ad practices, consumers' perceptions and beliefs, ad content, ad effects, and ad education. Building on prior reviews of advertising research in general (e.g., Yale and Gilly [114]; West [113]), we explore the topics covered in Asian advertising studies with a seven-topic typology, comprising advertising practice, advertising content, advertising effects, consumers' perceptions and beliefs about advertising, topics tangential to advertising (e.g., media uses and consumer behaviors), advertising education, and other. Single-country studies have examined advertising practitioners' perceptions of advertising in general and the perceived benefits of different media, marketing communication activities, or advertising appeals. When ads use foreign models, Chang ([14]) finds that even though Taiwanese consumers perceive ads with Caucasian models as more global and representative of developed countries, they do not like them more than ads featuring Asian models. [Extracted from the article]

Since the appearance of the first banner ad, online advertising has evolved significantly and now accounts for a substantial portion of all advertising spending. As online advertising tools proliferate, academic research in this area has also matured over time. To capture these developments, this article offers a synthesis of more than 300 articles on online advertising published in major advertising and marketing journals over the past 10 years. The key literature is summarized around six themes: (1) online advertising effectiveness; (2) online advertising mechanisms; (3) creative elements in online advertising; (4) the role of context in online advertising; (5) online personalization; and (6) search advertising. Knowledge gaps in existing research are identified, and important future research questions are suggested. [ABSTRACT FROM AUTHOR]