دورية أكاديمية

Cracking the consumers' code: A framework for understanding the artificial intelligence-consumer interface.

التفاصيل البيبلوغرافية
العنوان: Cracking the consumers' code: A framework for understanding the artificial intelligence-consumer interface.
المؤلفون: Ubal VO; College of Business, Florida State University, 821 Academic Way, Tallahassee, FL 32306, USA. Electronic address: vubal@fsu.edu., Lisjak M; W. P. Carey School of Business, Arizona State University, 400 E Lemon St, Tempe, AZ 85287, USA., Mende M; W. P. Carey School of Business, Arizona State University, 400 E Lemon St, Tempe, AZ 85287, USA.
المصدر: Current opinion in psychology [Curr Opin Psychol] 2024 Aug; Vol. 58, pp. 101832. Date of Electronic Publication: 2024 Jun 26.
نوع المنشور: Journal Article; Review; Systematic Review
اللغة: English
بيانات الدورية: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101649136 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2352-2518 (Electronic) Linking ISSN: 2352250X NLM ISO Abbreviation: Curr Opin Psychol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Amsterdam : Elsevier, [2015]-
مواضيع طبية MeSH: Artificial Intelligence* , Consumer Behavior*, Humans
مستخلص: This review presents a framework for understanding how consumers respond to artificial intelligence (AI) and related technologies, such as robots, algorithms, or chatbots. Drawing on a systematic review of the literature (N = 111), we describe how AI technologies influence a variety of consumer-relevant outcomes, including consumer satisfaction and the propensity to rely on AI. We also highlight the important role that consumer characteristics along with contextual characteristics (i.e., the micro and macro context) play in shaping the AI-consumer interaction. We then discuss novel theoretical perspectives that could shed light on the psychological processes triggered by AI-consumer interactions. We conclude by adopting a meta-scientific perspective and discussing how AI may change the process of scientific discovery.
Competing Interests: Declaration of competing interest The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
(Copyright © 2024 Elsevier Ltd. All rights reserved.)
فهرسة مساهمة: Keywords: Algorithm; Artificial intelligence; Bots; Consumer behavior; Consumer psychology
تواريخ الأحداث: Date Created: 20240709 Date Completed: 20240822 Latest Revision: 20240829
رمز التحديث: 20240830
DOI: 10.1016/j.copsyc.2024.101832
PMID: 38981370
قاعدة البيانات: MEDLINE
الوصف
تدمد:2352-2518
DOI:10.1016/j.copsyc.2024.101832