Developing artificial intelligence (AI) capabilities for data-driven business model innovation: Roles of organizational adaptability and leadership

被引:0
|
作者
Ghosh, Swapan [1 ]
机构
[1] Michigan State Univ, E Lansing, MI 48824 USA
关键词
Artificial intelligence; Advanced technologies; Data-driven business model innovation; Digital servitization; Digital transformation; DIGITAL SERVITIZATION; ECOSYSTEMS;
D O I
10.1016/j.jengtecman.2024.101851
中图分类号
F [经济];
学科分类号
02 ;
摘要
More and more industrial businesses leverage AI to optimize operations and introduce new and innovative business models for competitive advantage. Businesses are collecting huge amounts of data from their business processes and plan to utilize them for better customer experience and insights. However, industrial managers are still determining the AI capabilities they need to analyze the data and develop customer-centric business models. Based on the discussions with twenty-five elite informants from five large industrial businesses, in this study, we propose a set of AI capabilities that can help managers develop data-driven business models. We offer a conceptual framework of AI capabilities and their influence on data-driven business model innovation that can guide managers in their transformation journeys.
引用
收藏
页数:16
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