학술논문

Mapping AI-Driven Marketing: Review of Field and Directions for Future Research
Document Type
Conference
Source
2023 2nd International Conference on Futuristic Technologies (INCOFT) Futuristic Technologies (INCOFT), 2023 2nd International Conference on. :1-5 Nov, 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Bibliometrics
Software
Blockchains
Artificial intelligence
Disruptive technologies
Business
Marketing
Co-citation analysis
Bibliometric
Conceptual structure
Language
Abstract
Businesses increasingly function more effectively as a result of disruptive technologies like the IoT, AI, BDA, and Blockchain. Artificial Intelligence (AI), which has the biggest potential to change marketing, is the most current disruptive technology. The top AI solutions for marketing functions are being sought after by international practitioners. However, a thorough analysis of the literature can show how useful artificial intelligence (AI) is for marketing while also outlining potential research areas. The current study provides a comprehensive assessment of AI in marketing using bibliometric, conceptual, intellectual network, and thematic map analysis of the available literature published between 2014 and 2023. Bibliometric analysis was done through Biblioshiny using $R$ and Vos viewer software. A thorough analysis of three hundred fifty-six publications allowed for the identification of the scientific actors that performed the best. Furthermore, cocitation analysis offered the intellectual and conceptual framework.