结构方程建模
知识管理
市场情报
软件部署
营销
业务
组织绩效
透视图(图形)
市场营销管理
市场调研
市场营销与人工智能
商业智能
计算机科学
人工智能
智能决策支持系统
操作系统
机器学习
作者
Patrick Mikalef,A.K.M. Najmul Islam,Vinit Parida,Harkamaljit Singh,Νajwa Altwaijry
标识
DOI:10.1016/j.jbusres.2023.113998
摘要
The deployment of Artificial Intelligence (AI) has been accelerating in several fields over the past few years, with much focus placed on its potential in Business-to-Business (B2B) marketing. Early reports highlight promising benefits of AI in B2B marketing such as offering important insights into customer behaviors, identifying critical market insight, and streamlining operational inefficiencies. Nevertheless, there is a lack of understanding concerning how organizations should structure their AI competencies for B2B marketing, and how these ultimately influence organizational performance. Drawing on AI competencies and B2B marketing literature, this study develops a conceptual research model that explores the effect that AI competencies have on B2B marketing capabilities, and in turn on organizational performance. The proposed research model is tested using 155 survey responses from European companies and analyzed using partial least squares structural equation modeling. The results highlight the mechanisms through which AI competencies influence B2B marketing capabilities, as well as how the later impact organizational performance.
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