Key points are not available for this paper at this time.
Abstract Generative AI (Gen AI) is shaping the future of marketing. In the next decade, Gen AI will influence how marketers interact and communicate with customers, help create and deliver marketing content (text, images, and video), and inform methods for researching and developing new products and services. In both service and sales settings, Gen AI will affect customers directly and significantly. Therefore, marketers, researchers, and public policy makers require a clear understanding of Gen AI and its potential, as well as its limitations. To assist marketers in thinking through the adoption and implementation of Gen AI, the current article presents a four-quadrant organizing framework that highlights trade-offs in both the nature of Gen AI inputs and the extent of human augmentation needed to deliver Gen AI–generated outputs. This framework provides guidance for the selection and implementation of Gen AI tools, as well as recommendations for further research.
Building similarity graph...
Analyzing shared references across papers
Loading...
Dhruv Grewal
Cinthia B. Satornino
Thomas H. Davenport
Journal of the Academy of Marketing Science
University of Virginia
University of Bath
University of New Hampshire
Building similarity graph...
Analyzing shared references across papers
Loading...
Grewal et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69d97ba394760e72e6a3caed — DOI: https://doi.org/10.1007/s11747-024-01064-3
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: