Generative Artificial Intelligence and Preference Formation: Implications for Consumers, Citizens, and Organizations
DETAILS
Call for Papers
Generative Artificial Intelligence and Preference Formation: Implications for Consumers, Citizens, and Organizations
Journal: Cogent Business & Management
Publisher: Taylor & Francis Group
Article Collection
Manuscript Submission Deadline: 17 March 2027
Open Access: Yes
Cogent Business & Management invites submissions for an Article Collection examining how Generative Artificial Intelligence (GenAI) influences the formation of preferences, judgments, attitudes, choices, and evaluations across consumer, civic, and organizational settings.
About the Article Collection
Generative AI differs from earlier information technologies because it can create new content, interpret and summarize evidence, engage users in dialogue, justify recommendations, and adapt responses in real time. As these systems become integrated into everyday decision-making, they raise important questions about persuasion, agency, autonomy, trust, and the processes through which people form preferences.
The Collection seeks to connect currently fragmented research across marketing, management, information systems, political science, communication, psychology, sociology, and public policy. Preference formation provides a common framework for understanding how GenAI may affect consumers choosing products, citizens engaging with public information, and organizations making strategic and managerial decisions.
Topics of Interest
Submissions may address, but are not limited to:
Generative AI and preference formation
GenAI and consumer decision-making
AI-generated recommendations and consumer choice
Conversational AI and purchasing decisions
Personalized AI-generated content
Virtual assistants and customer behaviour
GenAI and brand evaluation
Trust in AI-generated recommendations
Authenticity of AI-generated content
AI-enabled persuasion
Consumer autonomy and agency
Human-AI interaction
Algorithmic influence on judgments
GenAI and information environments
AI-generated political and public information
GenAI and opinion formation
AI-generated policy information
AI and civic engagement
GenAI and institutional trust
AI-generated persuasive arguments
Personalized communication and audience responses
GenAI, misinformation, and information credibility
AI-supported managerial decision-making
GenAI and strategic decision processes
AI-assisted evaluation of alternatives
AI and resource-allocation decisions
AI-generated insights and organizational judgment
Collective decision-making involving AI
Organizational adoption of GenAI
Conditions shaping susceptibility to AI influence
Ethical implications of AI-mediated preference formation
Research and Methodological Approaches
The Collection welcomes:
Theoretical Contributions
Empirical Research
Methodological Contributions
Interdisciplinary Research
Relevant contributions may come from fields including marketing, management, information systems, political science, communication studies, psychology, sociology, public policy, and related disciplines.
Key Research Contexts
Consumers
Research may examine how AI-generated recommendations, conversational agents, personalization, virtual assistants, and generated content affect product evaluation, brand perceptions, trust, authenticity, persuasion, and consumer autonomy.
Citizens
Studies may investigate how GenAI-generated explanations, summaries, arguments, and public-policy information relate to opinion formation, civic engagement, institutional trust, and political preferences.
Organizations
Research may explore how managers and organizations use GenAI to evaluate alternatives, allocate resources, identify strategic priorities, assess opportunities, and incorporate AI-generated insights into individual and collective decision processes.
Submission Information
Manuscript Submission Deadline: 17 March 2027
When submitting:
Select the journal section “Marketing.”
Select the title of this Article Collection when prompted.
Review the journal's aims and scope and author instructions before submission.
Manuscripts will undergo desk assessment and peer review under the journal's standard editorial process.
Guest Advisors will not participate in peer review unless they are existing members of the journal's Editorial Board.
Submit to Cogent Business & Management
Cogent Business & Management – Instructions for Authors
Cogent Business & Management – Journal Page
Article Collection Guest Advisors
Professor Mangirdas Morkūnas
Vilnius University
Email: mangirdas.morkunas@vm.vu.lt
Dr. Elzė Rudienė
Vilnius University
Email: elze.rudiene@vm.vu.lt
Professor Anna Visvizi
SGH Warsaw School of Economics; Effat University
Email: avisvi@sgh.waw.pl
Collection Contact: Dr. Molly Cole, Commissioning Editor
Email: molly.cole@taylorandfrancis.com
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