Entrepreneurship education must adapt to rapid technological change, as emerging innovations like AI, blockchain, and immersive platforms are fundamentally transforming how entrepreneurs identify opportunities, develop prototypes, and scale businesses. While these technologies offer unprecedented pedagogical potential through simulations and gamified learning, many educational programs continue using traditional, Western-centric approaches that prioritize information delivery over experiential learning.

This special issue addresses the urgent need to critically examine how entrepreneurship education can effectively integrate emerging technologies while remaining responsive to the entrepreneurial realities students will face. The issue is particularly relevant for emerging economies, where digital tools can overcome infrastructure limitations and resource constraints to democratize access to quality entrepreneurship education, though success requires institutional capacity building, thoughtful curriculum design, and supporting policies.

Appel publié par Journal of Entrepreneurship in Emerging Economies. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Emerging Technologies in Entrepreneurship Education - Application of AI, VR/AR, blockchain, and IoT in entrepreneurship teaching; effectiveness of technology integration in resource-limited settings; impact of digital tools on student engagement and learning outcomes; role of gamification and simulation in developing entrepreneurial competencies
• Institutional Integration and Capacity Building - Organizational capabilities enabling technology adoption; leadership and faculty preparedness; university-industry collaboration models; digital infrastructure development; government policies and regulatory frameworks; creating entrepreneurial ecosystems beyond traditional classrooms
• Curriculum Design and Assessment Innovation - Assessment methods for technology-integrated learning environments; addressing generative AI in student evaluation; metrics for measuring impact on learning outcomes and business creation; longitudinal studies on career development; cost-effectiveness evaluation; educator training and professional development models

Timeline

• April 1, 2026: Opening date for manuscript submissions
• September 30, 2026: Closing date for manuscript submissions

Leff Bonney, Florida State University

Jessica Ogilvie, Marquette University

Professional sales education faces mounting pressures from evolving student expectations, institutional demands for demonstrable value, and rapid industry transformation. This special issue addresses how sales educators can effectively bridge theory and practice by developing rigorous curricula while equipping students with career-ready skills across diverse learning contexts, from university degree programs to corporate training and entrepreneurial ventures.

The journal seeks empirical, conceptual, and methodological contributions examining foundational questions and contemporary challenges in sales education. Topics span pedagogical innovation and curriculum design, assessment of learning outcomes and career trajectories, sales management and leadership development, industry-academic partnerships, and ethical and global dimensions of sales instruction.

Appel publié par Marketing Education Review. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• Effectiveness of different teaching modalities (in-person, online, hybrid, asynchronous) in sales courses
• Impact of experiential learning tools such as role-plays, live sales call exercises, case studies, and sales competitions on student outcomes
• Optimal design of sales curricula, including structure, course sequencing, and integration of core concepts
• Development and validation of instruments and rubrics to assess sales skills and competencies
• Longitudinal studies connecting sales education to career outcomes, employment rates, and performance metrics
• Factors driving student engagement, motivation, and success in sales, including mentorship and role models
• Pedagogical approaches for teaching sales management topics including compensation, territory alignment, and performance management
• Educating sales leaders on technology selection, ROI evaluation, and strategic implementation of sales technology
• Teaching coaching skills and frameworks for developing effective sales managers
• Integration of sales management with overall business strategy
• Impact and best practices of university sales centers and industry partnerships
• Effectiveness of corporate advisory boards, guest speakers, and industry mentors in sales education
• Role of organizations like SEF and USCA in establishing sales as a legitimate academic discipline
• Innovative pedagogies for embedding ethical decision-making in sales curricula
• Preparing students for international sales careers and cross-cultural negotiation
• Developing and assessing cultural intelligence in sales students through immersive experiences and case studies
• Fostering student resilience, managing performance pressure, and supporting mental health in sales education

Timeline

• January 15, 2026: Manuscript Submission Portal opens
• August 1, 2026: Manuscript Submission Deadline
• September 30, 2026: Manuscript deadline

Bryan T. McLeod, University of North Carolina at Pembroke

Jose Saavedra Torres, Northern Kentucky University

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.

Appel publié par Marketing Education Review. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

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

Timeline

• February 15, 2027: Manuscript submission deadline