Artificial intelligence in B2B decision-making: improving partner selection and business partnerships

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Authors: Geetha Manoharan, Gargi Sarma, Amarjeet Kumar Singh, Mansi Batra Kawatra, Rubaid Ashfaq, Amit Kumar Jain
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Abstract

This research analyses the application of artificial intelligence (AI) to manage partner relationships by B2B enterprises. It creates a theoretical model to comprehend the prerequisites for artificial intelligence - partner relationship management (AI-PRM) deployment and its effect on company revenue by building on the viewpoint of dynamic capability and the ability to absorb theory. Structural mathematical modelling is used in research to evaluate the concept using datasets from 427 B2B companies. According to the results, whenever an AI-PRM solution is implemented, businesses enhance their efficiency in operation and generate economic value via personalized relationship management and interaction. The research emphasizes how certain scales are needed in the study to accurately represent the elements and criteria for the widespread use of AI-PRM.

Fields of Study & Subjects

Impact of AI and Big Data on Business and Society AI in Service Interactions Digital Innovation in Industries

Publication details

Journal / source
CRC Press eBooks
Pages
451–453
Publication date
17 February 2026
Language
EN
Document type
Book chapter