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Content Analysis PDW

  • 1.  Content Analysis PDW

    Posted 05-31-2023 20:39
    Edited by Laura D'Oria 07-05-2023 17:18

    15th Annual AOM Content and Text Analysis in Organizational Research:

    Techniques and Applications

    Professional Development Workshop (#10839)

    Westin Copley Place Boston in America North

    Friday, August 4, 11:30AM – 2:30PM (EDT)


    Part I (11:30-1:00): Content Analysis Techniques and Applications

    (No registration required)

    Part II (1:00-2:30): Roundtable Workshop

    (Please submit proposal by July 14 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 15thannual Content Analysis PDW on Friday, August 4 at the Academy of Management Annual Meeting.

    Part I of the PDW (11:30-1:00) will provide an introduction to content and text analysis as a research methodology. Presenters will discuss appropriate applications, reliability and validity concerns, data curation, 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 (1:00-2:30), 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 14 to https://forms.gle/2boC7ZjW1nr6cJdq6.

    Please see submission details for Part II below.

    WHO: The Part II virtual roundtable workshop is open to all faculty and doctoral students who are doing research that utilizes content analysis techniques and applications.

    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)


    Submissions due: July 14, 2023
    Submit to:
    Acceptance notices sent by July 21, 2023

    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.

    Aaron Anglin - Texas Christian U.

    Jon Bundy - Arizona State U.

    John Busenbark - U. of Notre Dame

    Danny Gamache - U. of Georgia

    Joseph Harrison - Texas Christian U.

    Steven Hyde – Boisie State U.

    Farhan Iqbal - Indiana U., Bloomington

    Andi König - U. of Passau

    Aaron McKenny - Indiana U.

    Peter Norlander - Loyola U. Chicago

    Abbie Oliver - U. of Virginia

    Lingling Pan - U. of Pittsburgh

    Rhonda Reger - U. of North Texas

    Shane Reid - Louisiana State U.

    Hani Safadi – U. of Georgia

    Jeremy Short - U. of North Texas

    Ruixiang Song - Louisiana State U

    Hovig Tchalian – U. of Southern California

    Xinran Joyce Wang - U. of Missouri

    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 at https://forms.gle/2boC7ZjW1nr6cJdq6 and is by invitation only. We look forward to seeing you in Boston!

    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:


    Jason T. Kiley
    Oklahoma State University