Module C

Module C - Analysing Qualitative Data

Learning objectives

The aim of the module is to provide students with advanced skills to analyse different qualitative data types related to text and talk. The students will get in-depth insights into selected data analytical methods related to the qualitative analysis of text and talk (e.g. discourse analysis, narrative analysis, conversation analysis, Gioia model, and reflexive interpretation) and how they are relevant for the strategic management of a variety of phenomena and processes in organizations. This will enable the students to understand, select, apply and critically reflect upon central aspects of qualitative data analyses in relation to organizational or individual-level phenomena and processes.

Time and place

30 April – 2 May 2024, 9:00 to 15:45, Aarhus BSS, Fuglesangs Allé 4, 8210 Aarhus V.
Room: 2610-514.

Teachers (may be subject to change)

  • Associate Professor Birte Asmuß (course coordinator)
  • Professor Christa Thomsen
  • Professor Helle Neergaard
  • Associate Professor Trine S. Johansen, Department of Culture and Communication, Aarhus University
  • Associate Professor Signe H. Frederiksen

Reading list (April 2024)

Qualitative Methods

Bansal, P. & Corley, K. (2011), From the editors: The coming of age for qualitative research: Embracing the diversity of qualitative methods. Academy of Management Journal, 54:2, 233-237.

Kump, B. (2022). No need to hide: Acknowledging the researcher’s intuition in empirical organizational research. Human Relations, 75(4), 635–654.

Narrative Analysis

Boje, D. M. (1991). The storytelling organization: A study of story performance in an office-supply firm. Administrative Science Quarterly, 106-126.

Boje, D. M. (2007). The antenarrative turn in narrative studies. In Zachry, M. & Thralis, C. (Eds.). Communicative Practices in Workplaces and the Professions: Cultural Perspectives on the Regulation of Discourse and Organizations, Taylor & Francis Group, pp. 219-237.

Humle, D. M., & Pedersen, A. R. (2015). Fragmented work stories: Developing an antenarrative approach by discontinuity, tensions and editing. Management Learning, 46(5), 582-597.

Vaara, E., & Tienari, J. (2011). On the narrative construction of multinational corporations: An antenarrative analysis of legitimation and resistance in a cross-border merger. Organization Science, 22(2), 370-390.

Interview and Text Analysis

Braun, V. & Clarke, V. (2006). Using thematic analysis in psychology. |Qualitative Research in Psychology, 3: 2, 77-101.

Brooks, J & King, N (2014) Doing template analysis: evaluating an end of life care service. SAGE Research Methods Case

Linneberg, M. S. & Korsgaard, S. (2019). Coding qualitative data: a synthesis guiding the novice. Qualitative Research Journal,  19:3, 259-270.

Shepherd DA & Williams, TA (2014) Local venturing as compassion organizing in the aftermath of a natural disaster: The role of localness and community in reducing suffering. Journal of Management Studies. 51:6 

*Smith, Susan M., and Edward McKeever (2015). "Using constant comparison as a method of analysis in entrepreneurship research." Handbook of qualitative research technique and analysis in entrepreneurship. Edward Elgar. Massachusetts, 52-74.

 Discourse Analysis

*Aggerholm, H. K., & Thomsen, C. (2015). Strategic Communication: The Role of Polyphony in Management Team Meetings. In D. Holtzhausen, & A. Zerfass (Eds.), The Routledge Handbook of Strategic Communication. New York: Routledge (pp. 172-189).

Alvesson, M. & Kärreman, D. (2000). Varieties of discourse: On the study of organizations through discourse analysis. Human Relations 53(9): 1125-1149.

*Phillips, N., & Di Domenico, M.L. (2009). Discourse Analysis in Organizational Research: Methods and Debates. In Buchanan, D.A., & Bryman, A.: The SAGE Handbook of Organizational Research Methods: 549-565. Los Angeles: SAGE (pp. 549-565).

Conversation Analysis

Heritage, J. (1997). Conversation analysis and institutional talk: analysing data. Qualitative research: Theory, method and practice (David Silverman, ed.), London, Sage Publications, pp. 161-80. [available officially online at:  http://www.sscnet.ucla.edu/soc/faculty/heritage/Site/Publications_files/SILVERMAN_2.pdf]

Llewellyn, N. & Spencer, L. (2009). Practice as a members’ phenomenon. Organization Studies 30 (12), 1419–1439

Mondada, L. (2013). Embodied and spatial resources for turn-taking in institutional multi-party interactions: Participatory democracy debates. Journal of Pragmatics, 46(1): 39-68.

Interpretive Practices  

Alvesson, M. & Kärreman, D, (2007). Constructing Mystery. Empirical Matters in Theory Development. Academy of Management Review. 32(4): 1265-1281

Delamont, S & Atkinson, P. (2021). Ethnographic Engagements. Encounters with the Familiar and the Strange. London: Routledge, chpt. 6: 86-103.

Klag, M. & Langley, A. (2013). Approaching the conceptual leap in qualitative research. International Journal of Management Reviews, 15, 149-166.

Geertz, C. (1973). Thick Description: Toward an Interpretive Theory of Culture. In: The Interpretation of Cultures: Selected Essays. Basic Books

Timmermans, S. & Tavory, I. (2012). Theory Construction in Qualitative Research. From Grounded Theory to Abductive Analysis. Sociological Theory. 30(3): 167-186

Application

Application deadline: 21 March 2024. Please download and fill in the application form. The application should be sent by email to: Department of Management, Aarhus BSS, Aarhus University, att. Lisbeth Widahl. Please note that your application is binding.

Fee

External participants (from outside Aarhus University) will be charged a fee that covers lunches and refreshments (for more information, please contact Lisbeth Widahl). Participants will have to make their own arrangements regarding travel and accommodation.

Credits and evaluation

2.5 ECTS 

-          Prior to the course: Participants must upload a 1-page description of their project on Brightspace, focusing on – especially the qualitative – analytical methods. Deadline: 25 April 2024

-          After the course: Participants must upload a 5-page (max) description paper on Brightspace, reflecting on how to use some of the analytical methods for their own project. Deadline: 30 May 2024