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?
The 4th annual Content Analysis PDW took place on Friday, August 3, 2012 at the Academy of Management Annual Conference in Boston.
An introduction to content analysis as a research methodology and outline appropriate applications, reliability, and validity concerns. Experts walked through examples of content analysis techniques from published research and an expert panel will address questions and offer publishing tips.
Experts and authors interacted in small-group roundtables to discuss the content, structure, techniques, and potential journal outlets of each manuscript. Research proposals will be selected and shared for pre-reading among group members with similar interests in advance of the PDW.
Mark Kennedy links reification of new and controversial organizational phenomena to convergence of antagonists’ interpretations of emergent “memes”, offers a method for measuring similarity of antagonists’ interpretations of controversial new ideas over time, and draws links between identities, categories, and reputation.
Tim Kuhn demonstrates the use of CRA and Discourse Tracing as content analysis tools.
Miles Zachary demonstrates how to build wordlists and constructs suitable for content analysis.
Klaus Weber demonstrates how to develop a research project using content analysis. He will also discuss reliability and validity issues.
Mark Kennedy demonstrates how to progress from data collection to analysis and interpretation for quantitative content analysis.
Paula O’Kane demonstrates how the software program NVivo functions as a qualitative data analysis tool.
Rhonda Reger provides a general introduction into the different phases of content analysis including data collection, coding approaches, analysis of content, interpretation of results, and addressing reliability and validity concerns.
Tim Pollock discusses the relationship between the theoretical questions considered and the units of text to be analyzed. He also describes the processes and challenges associated with building custom dictionaries for use in fully automated text analysis.
Based on his experience content analyzing thousands of competitive actions carried out by rivals firms, Goce Andrevski provides an overview of the processes for the collection, coding, and data handling of organizational events drawn from the news media.
Brayden King discusses the opportunities and challenges in two kinds of content analysis: newspaper event coding and the analysis of organizational documents.
Arijit Chatterjee discusses the usefulness of unobtrusive measures in research, and how CEOs’ prominence in company annual reports can be an indicator of CEOs’ narcissistic tendencies.
Nelson Phillips discusses how he uses content analysis in research on organizational discourse, including theoretical and empirical applications.
Mark Kennedy discusses content analysis in organizational and media contexts, as well as his “mistakes and lessons learned” from various projects and introduce an association engine tool.
Paula O’Kane demonstrates how NVivo as a Qualitative Data Analysis Tool can help to facilitate content analysis.
Lori Kiyatkin and Moriah Meyskens discuss the challenges of using content analysis to measure social issues in management.