EXPRESS: Generative AI in Marketing: Promises, Perils, and Public Policy Implications
生成语法
营销
业务
公共政策
经济
计算机科学
人工智能
经济增长
作者
V. Kumar,Philip Kotler,Shaphali Gupta,Bharath Rajan
出处
期刊:Journal of Public Policy & Marketing [SAGE] 日期:2024-09-18
标识
DOI:10.1177/07439156241286499
摘要
By evaluating the use pattern of GAI by businesses in marketing, this study aims to understand the subsequent impact on society and develop policy implications that promote its beneficial use. To this end, we develop an organizing framework that contends that the usage of GAI models by businesses for marketing purposes creates promises and perils for society through a specific business process. This business process is represented by the action → capabilities → transformation → impact link in the proposed framework. Additionally, we find that the level of technology infrastructure, skilled personnel, and data access moderates the influence of GAI on businesses’ ability to develop technology-driven capabilities. Furthermore, adaptive leadership and management strategies moderate the impact of these capabilities on technology-enabled business transformations. In doing so, this is the first study to critically evaluate the use of GAI in marketing from a public policy perspective. The study concludes with an agenda for future research.