Abstract
Artificial intelligence has significantly impacted the consumer behavior process in business. It has revolutionized how companies understand, interact with, and serve their customers. Businesses can understand sentiment, identify trends, and adjust their marketing and product strategies by analyzing social media data, customer reviews, and online interactions. Businesses can use these insights to make informed decisions about inventory management, pricing, and marketing strategies. AI can generate product descriptions, blog posts, and social media updates. This automation streamlines content creation processes and ensures a consistent online presence. Businesses leveraging AI effectively in their consumer engagement strategies can gain a competitive edge and build stronger customer relationships. Based on the above, it is to systematically review the bibliometric literature on artificial intelligence in the consumer behavior process in business using the Scopus database with the analysis of 140 academic and/or scientific documents
TopMethodological Approach
The researcher conducted a systematic bibliometric literature review to analyze the impact of AI on consumer behavior processes in business. This methodology involves the systematic identification, analysis, and synthesis of relevant scholarly literature. It enabled the researcher to gain a comprehensive understanding of the existing knowledge on the research topic and identify key trends and patterns within the literature. In the context of AI in consumer behavior, this methodology can reveal the emergence and evolution of new technologies, their continued impacts, and how businesses are navigating the disruptions. This notion is evidenced in Romanelli et al.'s (2021) research, which indicates that combining the principles of bibliometric analysis and systematic literature reviews enables the documentation and visualization of a certain field's development, in this case, AI in consumer behavior processes.
Key Terms in this Chapter
Natural Language Processing: A branch of artificial intelligence that enables computers to comprehend, generate, and manipulate human language.
Artificial Intelligence: Simulation of human intelligence processes by machines, especially computer systems.
Sensors: Device that produces an output signal for the purpose of sensing a physical phenomenon.
Augmented Reality: Interactive experience that enhances the real world with computer-generated perceptual information.
Big Data: An area of knowledge that studies how to treat, analyze and obtain information from very large data sets.
Consumer Behavior: Actions and decisions that people or households make when they choose, buy, use, and dispose of a product or service.
Internet of Things: A concept that pertains to the digital connectivity of commonplace items to the internet, emphasizing the connection of objects rather than individuals.
Value Co-Creation: Joint process that takes place on a co-creation platform involving a service provider and a customer, where the service provider's service (production) process and the customer's consumption and value creation process merge into one process of direct interactions.
Machine Learning: A field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions.