Generative AI in High‑Pressure Work Contexts: Behavioral Mechanisms Shaping Managerial and Employee Decision‑Making
DETAILS
Call for Papers – Generative AI in High‑Pressure Work Contexts: Behavioral Mechanisms Shaping Managerial and Employee Decision‑Making
Journal: Journal of Business Research
Publisher: Elsevier
Submission deadline: 31 December 2026
This special issue examines how generative AI (GAI) reshapes managerial and employee decision‑making under high‑pressure, high‑stakes conditions, such as crisis management, medical triage, and strategic financial forecasting. It focuses on the behavioral, cognitive, emotional, and ethical mechanisms that shape human–AI interaction when time is scarce, uncertainty is high, and errors are irreversible.
Types of research this SI invites
Type of research | Typical focus |
|---|---|
Behavioral experiments / field studies | How GAI affects trust, bias, risk‑taking, and accountability under stress |
Longitudinal / mixed‑methods | Changes in decision styles, stress, and work practices over time |
AI‑enabled / ML‑augmented research | Large‑scale quantitative or text‑mining work on AI‑mediated decisions |
Guest editors (full information)
Dr Miles Yang, Macquarie University, Sydney, Australia
Dr Ying (Candy) Lu, Macquarie University, Sydney, Australia
Dr Yucheng Zhang, University of Southampton, UK
List of suggested topic areas
Cognitive and emotional dynamics:
Intuition vs analytic reasoning, automation bias, and overreliance on GAI
Stress, anxiety, and cognitive overload in AI‑mediated high‑pressure tasks
Decision styles, roles, and judgment:
Feedback, coaching, and conflict‑resolution practices when GAI is involved
How managers and employees delegate, collaborate with, or abdicate responsibility to GAI
Ethics, agency, and accountability:
Moral reasoning and ethical trade‑offs in time‑sensitive dilemmas (medical triage, finance, crisis)
How GAI reshapes leadership authority, legitimacy, and accountability
Strategy, time orientation, and risk:
Short‑term optimisation vs long‑term strategic thinking under AI‑driven pressure
GAI in scenario planning, contingency decisions, and innovation under time constraints
Relational and organizational dynamics:
Trust, resistance, dependency, and power asymmetries in human–AI collaboration
How culture, industry, and organisational context shape openness to GAI in pressured environments
Submission information
Submission opens on 1 September 2026 and closes on 31 December 2026.
Manuscripts must be submitted via the journal’s Editorial Manager system:
https://www.editorialmanager.com/JOBR/default.aspx
Select article type “GenAI in High‑Pressure Work Contexts” and follow the Journal of Business Research Guide for Authors:
https://www.sciencedirect.com/journal/journal-of-business-research/publish/guide-for-authors
All submissions will undergo the journal’s standard double‑blind review process.
ServiceSetu Academics — Premier Platform for Academic Opportunities & Research Collaboration
COMMENTS (0)
Sign in to join the conversation
SIGN IN TO COMMENT