Abstract
A growing body of evidence indicates that implementing artificial intelligence (AI) at scale can improve market performance in B2B settings by accelerating decision-making process. Despite its popularity in the B2B sector, there have been few academic studies about this phenomenon in the context of industrial markets. Currently, AI research focuses predominantly on the marketing aspect of consumers, but in fact industrial data is rarely analyzed to address the issues regarding organizational behavior, product innovation, supply chain management, and B2B customer relationship management. The special issue presents 16 papers that explore why do B2B companies seek to use AI for marketing purposes, how AI can be used to foster innovation and use supply chain networks, how AI can enhance B2B customer experience and customer relationship management, and how AI can be used to develop dynamic capabilities on B2B marketing. These research articles provide insights into various industrial contexts and have applied both qualitative and quantitative approaches to identify AI applications for value creation.
| Original language | English |
|---|---|
| Pages (from-to) | 109-113 |
| Number of pages | 5 |
| Journal | Industrial Marketing Management |
| Volume | 105 |
| DOIs | |
| State | Published - Aug 2022 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 Elsevier Inc.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- AI chatbot
- Adoption of AI
- Artificial intelligence
- B2B marketing
- B2B marketing strategy
- Customer experience
- Innovation
- Knowledge creation
- Supply chain management
ASJC Scopus subject areas
- Marketing
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