AMD Call for Submissions: Registered Reports
This is a permanent call for submissions for Academy of Management Discoveries.
8 October, 2026 @ 13:00 – 16:00 EDT
Delivery: Live and virtual
See how programming languages support transparent, repeatable research workflows. Designed primarily for doctoral students building their methods foundation
The session provides an introduction to the main languages of data analysis: Python, R, and SQL. Attendees will learn the similarities and differences between the languages, their respective strengths, and the types of tasks for which each is best suited. After introducing the languages, attendees will then get hands-on experience programming in each during an online lab session, in which participants apply the content from the lecture with organizationally relevant exercises. The session will close with a Q&A session and an opportunity to exchange ideas and insights between attendees.
Dr. Ivan Hernandez, Virginia Tech
Dr. Ivan Hernandez is an Associate Professor and Area Head of Industrial-Organizational Psychology at Virginia Tech. He is currently an Associate Editor for the Journal of Applied Psychology and an editorial board member for Organizational Research Methods and Technology, Mind, and Behavior. His work has been published in leading research journals, including Industrial-Organizational Psychology: Perspectives on Science and Practice, Organizational Research Methods, Psychological Methods, Behavior Research Methods, Personnel Psychology, and the Journal of Applied Psychology. He served as team lead of the winning team in the 2023 SIOP Machine Learning Competition and co-organized the 2024, 2025, and 2026 SIOP Machine Learning Competitions.
One registration includes all four live tutorials, their released resources, and related program activities.
This is a permanent call for submissions for Academy of Management Discoveries.
Submission Deadline: 31 January 2027 ATTENTION! Please disengage the autopilot. Check the muscle memory. We do not want more of the same. Academy of Management Perspectives (AMP) is different. Are you thinking of submitting a […]
Discoveries-through-Prose empower authors to craft their manuscripts in nontraditional ways that make for tighter, more engaging narratives.
Interested in publishing an Academy of Management Collection? Submit an original essay tied to articles selected from the AOM archive.
Actionable Solutions to Real-World Problems of Practice and Policy Based on Prior Academy of Management Publications
Self-nominations are being sought for the position of editor (or co-editors) of the Academy of Management Perspectives. The person(s) selected will become editor-elect on 1 July 2027 and editor on 1 January 2028. The term of office as editor is three years.
Self-nominations are sought for the following founding leadership roles during the Teaching Community’s three-year pilot: Teaching Community Founding Chair; Teaching Community Committee Leaders
Practical Solutions for Coping with Rising Geopolitical Risk. Submission period 1-30 September 2026
Presented in collaboration with AOM’s Community Accelerator Program, this Spanish-language webinar hosted by the Laboratorio Internacional en Ciencias de la Gestión Pública presents a critical examination of artificial intelligence (AI) […]
Recent decades have seen rising scholarly, policy, and media attention towards the mental health of university populations. While there is strong evidence of mental health concerns among students, there are […]
SEE Connect is an Academy of Management initiative under the Community Accelerator Program (CAP), designed for doctoral students, young researchers, and early-career academics working across all areas of management research – particularly the domains of the AOM Strategic Management (STR), Technology and Innovation Management (TIM), and Organizational Behavior (OB) divisions, spanning strategy, innovation, technology, and organizational studies.
Delivery: Live and virtual Connect the way research data is structured to the statistical models used to analyze it. Designed primarily for doctoral students building their methods foundation What to […]