The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
AI-Driven Consumer Behavior and Decision Making
Abstract
Artificial Intelligence (AI) has transformed consumer behavior and decision-making, impacting purchasing habits, brand relationships, and marketing efforts. This systematic review synthesizes evidence on AI-influenced consumer behavior, analyzing its effects on attitudes, likes, and decision-making. Major areas of study encompass AI-facilitated recommendation systems, personalized engagement marketing, AI in online advertising, and AI-facilitated automation in retail and service sectors. The research presents both the benefits and pitfalls of AI integration, such as better customer experiences, data privacy fears, and information cocoons. AI has revolutionized conventional marketing practices by facilitating hyper-personalization and predictive analyses, engaging customers while incurring ethical issues. Research also highlights the importance of AI in sectors like fashion, entertainment, and business-to-business (B2B) marketing, offering insights into consumer trust and perceptions of privacy.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|