Call for Papers: The Psychological Microfoundations of Human–AI Interaction in Leadership, Entrepreneurship, and Work

Call for Papers IEEE Engineering Management Review (EMR) Special Issue

The Psychological Microfoundations of Human–AI Interaction
in Leadership, Entrepreneurship, and Work

IEEE Engineering Management Review (EMR) is a premier outlet for the research and practice
of engineering, technology, and innovation management, with a tradition of more than fifty
years of publishing. IEEE EMR has built a reputation for high-quality, evidence-based
practice-oriented publications.

Rationale and Scope

AI is transforming how entrepreneurs, leaders, and employees think, decide, and work. While
technological advances receive considerable attention, far less is known about the human
psychological experience that shapes the success or failure of AI adoption. This special issue
examines the micro-level processes—cognition, emotion, fear, motivation, trust, resistance, and
wellbeing—that influence how entrepreneurs, CEOs, TMTs, and employees interact with AI in
daily work and decision-making. By integrating perspectives from psychology, entrepreneurship,
and organizational behavior, the issue highlights how AI affects strategic thinking, opportunity
recognition, leadership behavior, employee experiences, and overall human wellbeing.

Topics of Interest (include but are not limited to)

• Cognitive styles, personality traits, and biases in AI-assisted decision-making
• How entrepreneurs, CEOs, founders, and TMTs adopt, trust, or resist AI
• AI-supported opportunity recognition, innovation, and entrepreneurial judgment
• Employee emotions, trust, stress, fear, and resilience in AI-integrated workplaces
• Daily human experiences of algorithmic control, monitoring, or augmentation
• Ethical reasoning, accountability, and fairness in AI-assisted decisions
• Cross-cultural differences in reactions to AI in work and leadership
• Psychological safety and transparency in AI-driven HR processes
• Job insecurity and fear of replacement
• AI fairness, bias, ethical dilemmas, and moral disengagement
• AI as support for wellbeing, mental load reduction, or job enrichment
• Case studies of AI implementation
• Cross-cultural attitudes toward AI among students, customers, and small business owners

Submission Categories

• Technology Manager’s Notebook (TMN) Articles: 500–2,000 words
• Shorter Articles and Case Studies: 2,000–4,000 words
• Longer Articles and Reviews: 7,500–10,000 words

Important Dates

Rolling submissions begin immediately. The final submission deadline for Special Issue
consideration is 15 November 2026.

Submissions must be made to the IEEE Author Portal.

Guest Editor

Questions? Contact Asghar Afshar Jahanshahi, Research Center of Entreprenurial Initatives,
IPADE Business School, Mexico City, Mexico.
Email: afshar@ipade.mx