Teaching Innovations 2027: Marketing Strategy Education in the Age of Artificial Intelligence

Editors

  • Bryan T. McLeod, University of North Carolina at Pembroke
  • Jose Saavedra Torres, Northern Kentucky University

Description

This special issue addresses how artificial intelligence is transforming marketing strategy education. As AI becomes increasingly integrated into marketing practice, educators must reconsider teaching approaches to prepare students for careers where human judgment and AI collaboration are central. The issue invites research on redesigning strategy courses, integrating AI into curriculum and pedagogy, and identifying how students can develop critical thinking and decision-making skills alongside AI literacy.

Submissions may include empirical research, conceptual articles, case studies, and pedagogical innovations examining opportunities and challenges of AI integration in marketing strategy courses. The scope encompasses curriculum redesign, experiential learning with AI, assessment methods in AI-enhanced environments, and faculty perspectives on teaching strategy with emerging technologies.

Potential topics

  • Redesigning the marketing strategy course for the age of AI
  • Integrating AI throughout the strategic marketing planning process
  • Teaching AI literacy within marketing strategy courses
  • The evolving role of marketing strategy within the marketing curriculum
  • Preparing students for AI-enabled marketing careers
  • Balancing traditional marketing concepts with emerging AI technologies
  • Teaching strategic thinking in AI-enhanced learning environments
  • AI-assisted environmental scanning and situation analysis
  • AI applications for SWOT analysis
  • AI-assisted market segmentation, targeting, and positioning
  • Competitive analysis using AI
  • AI-supported strategic forecasting
  • Teaching students when to rely on AI and when managerial judgment should prevail
  • Human creativity and intuition in AI-supported strategy development
  • AI-enhanced consulting projects
  • Client-based learning using AI
  • AI-generated marketing simulations
  • AI-supported business competitions
  • AI throughout the development of marketing plans
  • AI-assisted strategic decision-making exercises
  • Experiential learning that combines human judgment with AI capabilities
  • Assessing strategic thinking in AI-supported classrooms
  • Authentic assessments in marketing strategy education
  • Oral defenses of AI-assisted marketing plans
  • Measuring creativity and higher-order thinking in AI-enhanced environments
  • Student perceptions of AI in marketing strategy courses
  • AI's influence on strategic reasoning and decision quality
  • Academic integrity within AI-supported strategy courses
  • Faculty adoption of AI within marketing strategy instruction
  • Best practices for integrating AI into capstone marketing courses
  • Faculty perceptions of AI's impact on student learning
  • Challenges associated with teaching marketing strategy in AI-rich environments
  • The future role of the marketing strategy course
  • Skills and competencies required of future marketing strategists
  • Employer expectations for graduates entering AI-enabled organizations
  • The relationship between AI, strategic thinking, and managerial decision making
  • Human-centered competencies that remain essential despite advances in AI
  • Emerging research directions related to marketing strategy education and AI