چکیده مقاله
The advent of artificial intelligence AI has significantly reshaped the landscape of market dynamics, with algorithmic pricing emerging as one of the most critical areas influenced by this transformation The integration of AI driven algorithms into pricing strategies has profound implications for both market efficiency and regulatory frameworks In order to better understand the research trends and developments in this domain, a comprehensive bibliometric analysis was conducted This analysis aimed to map the intellectual structure of the field of algorithmic pricing by identifying key researchers, universities, and countries contributing to the development of this field Through the use of VOSviewer, four distinct yet interconnected research clusters emerged, shedding light on the various thematic dimensions of algorithmic pricing: 1 Algorithmic Pricing and Fairness, 2 Resource Allocation and Management, 3 Game Theory and Stackelberg Models, and 4 Demand Response and Electric Vehicle Integration This abstract delves into each of these clusters, examining their contributions to the broader discourse on AI in pricing strategies and resource management
کلیدواژهها
نویسندگان
Mohsen Nazari
Marketing and Market Development Department, Faculty of Business Management, College of Management, University of Tehran, Tehran, Iran
Iman Mostashar Nezami
Department of Marketing and Market Development, Faculty of Management, University of Tehran
شیوه ارجاع
Nazari, Mohsen and Mostashar Nezami, Iman,1403,Decoding Algorithmic Pricing: A Bibliometric Journey Through Fairness, Resource Optimization, and Ai -Driven Innovation in Artificial Intelligence,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز