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18th Annual AOM Content and Text Analysis in Organizational Research

  • 1.  18th Annual AOM Content and Text Analysis in Organizational Research

    Posted 14 hours ago

    18th Annual AOM Content and Text Analysis in Organizational Research:

    Techniques and Applications

    Professional Development Workshop (#12451)

    Friday, July 31, 2026, 8:00AM - 11:00AM

    Loews Regency A

    *******************

    Part I (8:00-9:30): Content Analysis Techniques and Applications

    (No registration required)

    Part II (9:30-11:00): Roundtable Workshop

    (Please submit proposal by July 10 to https://forms.gle/2boC7ZjW1nr6cJdq6)

    Are you using content analysis techniques and applications in your research? Would you like to learn more about this widely applicable methodology and discuss your work with major scholars in the field? Please join us for the 18th annual Content Analysis PDW on Friday, July 31 at the Academy of Management Annual Meeting.

    Part I of the PDW (8:00-9:30) will provide an introduction to content and text analysis as a research methodology. Presenters will discuss appropriate applications, reliability and validity concerns, data curation, AI and large language models (LLMs), programming (particularly in Python and R), and different computer-aided content analysis tools. Experts will walk through examples of content analysis techniques from published research, address questions, and offer publishing tips.

    In Part II (9:30-11:00), experts and authors will interact in small-group roundtables to discuss the content, structure, techniques, and potential journal outlets of each proposal. Research proposals will be selected and shared for pre-reading among group members with similar interests in advance of the PDW.

    Part I is open to all attendees and does not require pre-registration.

    To attend Part II, please submit a proposal for review by July 10 to https://forms.gle/2boC7ZjW1nr6cJdq6 .

    Please see submission details for Part II below.

    WHO: The Part II roundtable workshop is open to faculty and doctoral students who are utilizing content analysis techniques and applications in their research.

    WHAT: Please limit your submission to 2 single-spaced pages and an additional page of figures, tables, and related output. Please include the following in your submission:

    1. Research topic and conceptual framework

    2. Key research questions

    3. Methods

    4. Key findings (if applicable)

    5. Challenges (the area on which you would like to focus discussion)

    6. Three keywords that describe your proposal

    7. Identifying information: Name, title, affiliation, e-mail address

    8. (optional) Code review (experts in 1-2 breakout groups will be able to review Python/R code)

    KEY DATES

    Submissions due: July 10, 2026
    Submit to:
    https://forms.gle/2boC7ZjW1nr6cJdq6
    Acceptance notices sent by July 17, 2026

    For questions, please contact us at contentanalysis1@gmail.com .

    We are pleased that the following scholars have agreed to participate:

    Mike Pfarrer, U. of Georgia

    Jason Kiley, Clemson U.

    Philipp Becker, Utrecht University

    Jonathan Bundy, Arizona State U.

    Emily Campion, U. of Iowa

    Nikki Drader-Mazza, U. of North Texas

    Lorenz Graf-Vlachy, Friedrich-Alexander U.

    Derek Harmon, Michigan State U.

    Joseph Harrison, U. of Tennessee

    Steven Hyde, Boise State U.

    Farhan Iqbal, Indiana U., Bloomington

    Matias Kalm, Tilburg U.

    Paula Kincaid, U. of Texas at Tyler

    Andreas König, U. of Passau

    Aaron McKenny, U. of Central Florida

    Lingling Pan, U. of Pittsburgh

    Rhonda Reger, U. of North Texas

    Joanna Reddick, U. of Georgia

    Shane Reid, Texas State U.

    Ashley Roccapriore, Auburn U.

    Hani Safadi, U. of Georgia

    Steve Smulowitz, Wake Forest U.

    Ruixiang Song, U. of Tennessee, Knoxville

    Hovig Tchalian, U. of Southern California

    Xinran Wang, Baruch College

    Elle Yoon, Iowa State U.

    Miles Zachary, Auburn U.

    Remember, you may attend either or both parts of the PDW. Part I does not require pre-registration. Part II requires registration and is by invitation only:

     

    https://forms.gle/2boC7ZjW1nr6cJdq6

    We look forward to seeing you in Philadelphia.

    Mike Pfarrer                           Jason Kiley

    University of Georgia             Clemson University

    mpfarrer@uga.edu                  jkiley@clemson.edu

    To learn more about content analysis research and past workshops, please visit:

    https://www.terry.uga.edu/contentanalysis



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    Mike Pfarrer
    University of Georgia
    mpfarrer@uga.edu
    ------------------------------