Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach

被引:56
|
作者
Mikalef, Patrick [1 ]
Conboy, Kieran [2 ,3 ]
Krogstie, John [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Comp Sci, Sem Saelandsvei 9, N-7491 Trondheim, Norway
[2] NUI, Sch Business & Econ, Galway, Ireland
[3] NUI, Lero Software Res Ctr, Galway, Ireland
关键词
Artificial intelligence; Dynamic capabilities; Business value; B2B marketing; micro-foundations; DECISION-MAKING; BIG DATA; PERFORMANCE; KNOWLEDGE; MANAGEMENT; STRATEGY; IMPACT; FIRMS; STATE;
D O I
10.1016/j.indmarman.2021.08.003
中图分类号
F [经济];
学科分类号
02 ;
摘要
Over the past few decades research has predominantly focused on the technical aspects and theoretical challenges of Artificial Intelligence (AI). With the deluge of data and the increase in processing power, businesses are now facing the challenge of how to deploy AI that generates business value. In this direction, there is still nascent research on how AI can be leveraged in for B2B operations, and particularly marketing. To address this gap, this study draws on the dynamic capabilities view of the firm and specifically on the micro-foundations approach and builds on three selected case studies of large organizations in Norway that use AI for B2B marketing purposes. The study identifies a number of AI-specific micro-foundations of dynamic capabilities, essentially highlighting how organizations can use AI to manage B2B marketing operations in dynamic and uncertain environments. This study also identified several key cross-cutting elements emerging from the data, demonstrating how some key concepts are inter-related and how they affect overall business value.
引用
收藏
页码:80 / 92
页数:13
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