**Last chance to apply! Submit your application for this virtual Consortium by Wednesday, May 28: Application Link
Call for Participants: 2025 AOM Research Methods Division-CARMA Doctoral Student and Junior Faculty Consortium
This is a call for participants for the 2025 Research Methods Division-CARMA Doctoral Student and Junior Faculty Consortium. The consortium offers a virtual, real-time, and interactive opportunity designed for participants to engage with leading scholars and methodologists across three perspectives: macro-quantitative, micro-quantitative, and qualitative.
The consortium features two plenary panels where accomplished scholars share their expertise and advice on designing and publishing research with advanced methods. In addition, participants will have the opportunity to engage deeply with specialized methodological areas through two interactive breakout sessions. These sessions are designed to provide hands-on experiences and stimulate discussion on specific research methods, guided by expert methodologists. For each breakout session, participants will select and join two methods topics they are interested in, enabling them to explore a diverse range of methodologies and enhance their skills in those methods.
This year, we are excited to offer additional sessions about (a) a variety of qualitative research methods and (b) different types of machine learning tools and methods. Furthermore, there will be extra opportunities for participants to interact with each other and with RM division leaders, and to form peer networks.
Schedule of Online Sessions - times indicated are in EDT (US East Coast time zone)
· Wednesday, June 4, 10 am-11:30 am: Introduction to the consortium and Designing and managing your dissertation or a large research project
· Wednesday, June 11, 11 am-noon: Breakout groups about specific methods, each led by an expert panelist. This will be followed by two "meet and greet" rounds where you can interact with fellow participants and with RM division leaders and volunteers.
· Wednesday, June 18, 10 am-noon: Second set of breakout groups with method specialists. This will be followed by an opportunity for session participants to meet one another in break-out groups and form peer networks.
· Wednesday, June 25, 11 am-11:30 am: Publishing with and about methods: Advice from leading scholars
Key Benefits
1. Expert Interaction: Direct engagement with leading scholars and methodologists, gaining valuable insights and feedback.
2. Convenient Scheduling: All sessions are scheduled outside of the Academy of Management conference timeframe, ensuring greater accessibility.
3. Virtual Accessibility: Participate from anywhere in the world without the need to travel, thanks to our fully online format.
4. Open Participation: There is no restriction on the number of participants from the same institution, allowing multiple doctoral students and faculty members to benefit from this consortium.
Who Can Apply?
Anyone interested in research methodology can apply, especially:
1. Doctoral students seeking to deepen their expertise in research methodology
2. Junior faculty seeking professional development
Do I Need to Be a Methods Researcher to Participate?
No! The consortium is open to researchers of all areas who wish to strengthen and develop their methodological skills.
Application Process
· Submit an initial application online by Wednesday, May 28. In addition to your background information, the survey will ask you to indicate your preferred breakout sessions and submit questions for the first and fourth sessions. Application Link.
· Accepted applicants will be notified by Friday, May 30.
Required Documents
Your CV. Graduate students should also provide the name and email address of a faculty advisor or mentor who supports their application.
Membership Requirements
To participate in the consortium, you must be a member of both the Academy of Management (AOM) and its Research Methods (RM) Division. As part of the application process, if you are not already a member of AOM, you will need to commit to joining before the consortium begins. Similarly, if you are not a member of the RM Division, you will agree to join during your next renewal of AOM membership. AOM membership includes membership in up to two divisions. If you choose to join more than two divisions, an additional fee of $11 per division will apply. To update your membership divisions, please sign in at https://aom.org, go to your Academy Profile, and click on the "Add a Division" link.
If you have any questions about the consortium, please contact Xavier Martin at x.martin@tilburguniversity.edu
Consortium Co-Organizers: Xavier Martin and Cindy Maupin
CARMA Representative: Larry Williams
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Day and EDT Time
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Topic
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Wednesday, June 4
10 am-11:30 am
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Introduction to the consortium and
Designing and managing your dissertation or large research project
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Don Bergh (University of Denver)
Valentina Mele (Bocconi University)
Semin Park (Pennsylvania State University)
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Wednesday, June 11
10 am-noon
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Breakout roundtables with method specialists #1
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Grounded Theory with Kevin Corley (Imperial College London)
Ethnography with Stine Grodal (Northeastern University)
Replication with Jost Sieweke (Vrije Universiteit Amsterdam)
Network Analysis with Ning Li (Tsinghua University)
Cross-Level and Multilevel Analysis with Rory Eckardt (SUNY Binghamton )
Bayesian Method with Jeff Dotson (Ohio State University)
Endogeneity with Hyunjung (Elle) Yoon (Iowa State University)
Panel Data with Hyun-Soo Woo (University of Mississippi)
Machine Learning with Ivan Hernandez (Virginia Tech)
Followed by small-group "meet and greet" among participants and RM division leaders and volunteers.
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Wednesday, June 18
10 am-noon
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Breakout roundtables with method specialists #2
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Case Studies with Davide Ravasi (University College London)
Experience Sampling Methods with Nitya Chawla (University of Minnesota)
Experimental Methods with Matthew Josefy (Indiana University)
Computer Simulation with Maciej Workiewicz (ESSEC)
Difference-in-Differences and Related Identification Solutions with Evan Starr (University of Maryland)
Regression Discontinuity Design with Leandro Pongeluppe (University of Pennsylvania)
Set-Analytic (QCA) Methods with Peer Fiss (University of Southern California)
Natural Language Processing with Feng Guo (University of Tennessee at Chattanooga)
Large Language Models with Andrew Delios (National University of Singapore)
Followed by an opportunity to form peer networks.
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Wednesday, June 25
10 am-11:30 am
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Publishing with and about methods: Advice from leading scholars
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Giuseppe Labianca (University of Massachusetts Amherst)
Myles Shaver (University of Minnesota)
Catherine Welch (Trinity College Dublin)
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Cynthia K. Maupin, Ph.D.
Assistant Professor of Management
The University of Mississippi | School of Business Administration
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