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 exploring how Generative Artificial Intelligence (GenAI) shapes preference formation, 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 not only organize existing information but also generate content, interpret evidence, conduct dialogue, justify recommendations, and personalize responses in real time. These capabilities create important questions about agency, persuasion, trust, authenticity, autonomy, and decision-making.
The Collection brings together perspectives from marketing, management, information systems, political science, communication studies, psychology, sociology, public policy, and related fields. It seeks to connect currently fragmented research through the common lens of preference formation.
Topics of Interest
Submissions may address, but are not limited to:
Generative AI and preference formation
GenAI and consumer decision-making
AI-generated recommendations
Conversational agents and virtual assistants
AI-enabled personalization
Consumer trust in AI-generated information
Authenticity and AI-generated content
Persuasion through Generative AI
Consumer autonomy and agency
Human–AI interaction
Algorithmic influence on judgments and choices
AI-generated information and public decision-making
GenAI and civic engagement
Trust in institutions in AI-mediated information environments
Organizational decision-making with GenAI
AI-supported evaluation of alternatives
AI and resource-allocation decisions
GenAI and strategic priorities
Collective judgment in organizations
AI-generated insights in managerial decision-making
Digital consumer engagement
Communication and preference formation
Psychological and social dimensions of AI influence
Conditions shaping acceptance or rejection of AI recommendations
Responsible and ethical use of GenAI in preference formation
Key Research Areas
Consumers and Markets
Research may examine how AI-generated recommendations, personalized content, conversational agents, and virtual assistants influence product and brand evaluation, trust, authenticity, persuasion, and consumer autonomy.
Citizens and Public Information
The Collection welcomes research examining AI-generated information in civic and public-information contexts, including how GenAI may affect judgments, engagement, institutional trust, and the ways people evaluate competing information and arguments.
Organizations and Management
Studies may investigate how managers and organizations incorporate AI-generated insights when assessing alternatives, allocating resources, identifying priorities, evaluating opportunities, and forming collective judgments.
Human–AI Influence and Agency
Research can explore whether the interactive and generative capabilities of GenAI create distinctive forms of influence compared with earlier recommendation and information technologies.
Preferred Contributions
The Article Collection welcomes:
Theoretical Contributions
Empirical Research
Methodological Contributions
Interdisciplinary submissions are encouraged from marketing, management, information systems, political science, communication studies, psychology, sociology, public policy, and related disciplines.
Submission Information
Manuscript Submission Deadline: 17 March 2027
When submitting:
Select the section “Marketing.”
Select “Generative Artificial Intelligence and Preference Formation: Implications for Consumers, Citizens, and Organizations” when prompted.
Follow the journal's Instructions for Authors.
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
For questions about the Article Collection, authors may contact Dr. Molly Cole, Commissioning Editor, at molly.cole@taylorandfrancis.com.
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