Junaid, S. A., & Qureshi, J. (2024). Topic: How Artificial Intelligence and Machine Learning Can Impact Market Design. Advances in Urban Regional Development and Planning, 1(1), 1-8.
Junaid, S. A., & Qureshi, J. (2024). Topic: How Artificial Intelligence and Machine Learning Can Impact Market Design. Advances in Urban Regional Development and Planning, 1(1), 1-8.
Junaid, S. A., & Qureshi, J. (2024). Topic: How Artificial Intelligence and Machine Learning Can Impact Market Design. Advances in Urban Regional Development and Planning, 1(1), 1-8.
Junaid, S. A., & Qureshi, J. (2024). Topic: How Artificial Intelligence and Machine Learning Can Impact Market Design. Advances in Urban Regional Development and Planning, 1(1), 1-8.
Abstract
Background: This research examines how market knowledge and artificial intelligence (AI) interact in different market designs such as business-to-business (B2B) settings while taking emerging technologies and the changing digitalization landscape into account. Objective: The main goal is to understand how AI affects market knowledge in different market designs such as business-to-business (B2B) contexts, taking into account language barriers, practical difficulties, and the revolutionary effects on decision-making and customer interactions. Result: They underscore the transformative potential of artificial intelligence (AI) by highlighting how it shapes market knowledge, encourages customized approaches, and improves marketing efficacy in the business-to-business (B2B) space. Conclusion: In order to create a path for responsible AI integration in B2B marketing, the study concludes with recommendations for standardized terminology related to AI, practical insights into implementation challenges, and ethical issues.
Keywords
How Artificial Intelligence and Machine Learning Can Impact Market Design; AI and ML Market Impact; AI and ML; Artificial Intelligence and Machine Learning; AI and ML evolving market; AI; ML
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
