963831


Course
Qualitative Research Methods Seminar (Fall 2018)

Faculty

Michel Avital, Department of Digitalization, CBS
Torkil Clemmensen, Department of Digitalization, CBS
Anna Linda Musacchio Adorisio, Department of Management, Society and Communication, CBS
Daniel Souleles, Department of Management, Politics and Philosophy, CBS
Thomas Frandsen, Depatrment of Operations Management, CBS
Jawwad Raja, Depatrment of Operations Management, CBS

Course Coordinator
Michel Avital

Prerequisites


Pre-course Assignment

In preparation for the seminar, please provide one page that describes your academic background and research interests. Please describe your guiding research questions, data sources, and research methodologies to the best of your ability, and add contact information and web address if available.

Please upload your profile page in the student forum in Learn no later than one week prior to the first class (14th October 2017).


Aim


The Qualitative Research Methods course is designed for doctoral students who are interested in pursuing qualitative research projects in social sciences. A primary objective of the course is helping participants to acquire the necessary skills that will enable them to design, execute, report and critically review qualitative research in social sciences with an emphasis on business and management related fields. Participants will gain foundational knowledge of qualitative research methods and discuss the considerations that go into the design of empirical studies employing such methods.


Course content


The course is designed as one-week sequence of four extensive seminars, each covering a key topic on qualitative research methods in social sciences. The meetings are in the form of participatory seminars that comprise class presentations, directed discussions and practical workshops. In addition to an appreciative and/or critical review of extant literature on qualitative research methods, the seminars seek to encourage constructive dialogue aimed at helping students to tackle research questions in a qualitative fashion, which builds on and extends contemporary knowledge.

The course requires a heavy reading load that is necessary to meet the aforementioned learning objectives. Reading the materials beforehand and participating actively in class dialogues are essential for getting a firm grasp of the course content. For each seminar, students should read the assigned articles or books, and be prepared to answer questions and discuss any other issues pertaining to the assigned reading material. Furthermore, for select seminars, students will be expected to prepare a take-home assignment that will be discussed in the next class.


Conversation Starters

In preparation for the designated sessions (#1-4), each student should prepare and distribute prior to each session a one-page “conversation starter” that synthesizes the assigned readings and integrates personal insights thereof. The conversation starters are also an opportunity for students to position themselves in relation to the assigned readings and to raise issues and questions which can spark a debate related to the readings. The conversation starters should be posted in the course student forum in Learn no later than one week prior to the first class (14th October 2018). The conversation starters are mandatory.

Coding Exercise

The coding exercise involves the analysis of primary and secondary data with NVivo (or qualitative analysis software of your choice). Further information about the coding exercise will be provided in the class on 22 October 2018.

 

 


Teaching style
Please see Course content

Lecture plan
Block # Day Time Decsription
Monday 1 22 October 2018 1a. Kickoff (9:00 - 10:30)
1b. Introduction to the course and to Qualitative Research Methods (10:30 - 12:00)

1c. Discourse and Thematic Analysis – Part 1 : Coding, Recursive Abstraction
(13:00 - 16:00)

* Assignment: conversation starter

Michel Avital






Torkil Clemmensen
T 2 23 October

2.Interpretive Research: Narrative Interviews and Narrative Methods

*Assignment: conversation starter



Anna Linda Musacchio Adorisio
W 3 24 October

3. Etnography and Fieldwork

*Assignment: conversation starter

Daniel Souleles
Th 4 25 October 4. Case Research Methodology

*Assignment: conversation starter

Thomas Frandsen

& Jawwad Raja
Fr 5 26 October 5. Discourse and Thematic Analysis – Part 2: Abstraction and Communication of Findings

* Assignment: coding exercise
Torkil Clemmensen

* Light breakfast will be served at 8:30

*All daily sessions are 9:00 12:00 and 13:00 16:00 unless noted otherwise.



Monday

22nd October 2018 (morning) 9:00-12:00

Introduction to the course and Qualitative Research Methods

The session introduces the course, the faculty members and the students, as well as provides a general introduction to qualitative research.

 

Readings:

Cunliffe, A. L. (2010). Crafting qualitative research: Morgan and Smircich 30 years on. Organizational Research Methods.

Optional Readings:

Gergen, K. J., Josselson, R., & Freeman, M. (2015). The promises of qualitative inquiry. American Psychologist, 70(1), 1.

Gioia, D. A., Corley, K. G., & Hamilton, A. L. (2013). Seeking qualitative rigor in inductive research notes on the Gioia methodology. Organizational Research Methods, 16(1), 15-31.

Eisenhardt, K. M., Graebner, M. E., & Sonenshein, S. (2016). Grand Challenges and Inductive Methods: Rigor without Rigor Mortis. Academy of Management Journal, 59(4), 1113-1123.

Alvesson, M. &: Kärreman, D. (2007). Creating mystery: empirical matters in theory development. Academy of Management Review, 32(4), 1265-1281.

Alvesson, M. & Sandberg, J. (2011). Generating research questions through problematization. Academy of Management Review, 37(2), 247-271.

 

22nd October 2018 (afternoon)  13:00-16:00

Discourse and Thematic Analysis   – Part 1: Coding, recursive abstraction – Torkil Clemmensen

Discourse and Thematic Analysis part 1 and part 2 enables the participants to understand and apply digital tools to plan, carry out and report the qualitative parts of different research designs. The course offers participants experience with contemporary qualitative and mixed research designs, which often make use of both quantitative and qualitative data. Examples include experiments (verbal protocols), surveys (open questions), qualitative research interviews, literature reviews (qualitative content analysis), observational studies (video analysis) and more. This will help facilitate the participant’s qualitative data analysis by presenting and discussing some of the questions that researchers ask other researchers when they look for help and advice in how to plan and execute their qualitative data analysis, including technical issues of how to format data for analysis, and philosophical discussions of the meaning of reliability and validity in the context of qualitative data analysis.

Part 1 offers participants practical experience in analyzing qualitative data from a research project in a multidisciplinary context. Best cases and worst cases of digital qualitative analysis will be presented. Participants are expected to be willing to use data from their own research to analyze. Depending on the level of experience with digital analysis of qualitative data among the participants, different kind of qualitative analysis software will be demonstrated.

Critical Class Prerequisites:

1)                         Bring your own computer to class

2)                         Download and familiarize yourself through online tutorials and self-experimentation with at least three different software applications for qualitative analysis. Atlas.ti, Nvivo and Maxqda have downloadable demo versions from their respective websites. A full package of Nvivo is available for free via the CBS software library. Consider also other software that is suitable for qualitative data analysis, e.g., MS Excel, Word, or Onenote. Please bear in mind that there will be no traditional demonstrations of any software during the course, however there will be abundant opportunities for hands-on experience connected with reflection in class. Therefore, you are required to familiarize yourself as much as you can with different kind of software application for qualitative analysis prior to the class. 

3)                         Bring your own data. This can be 3-4 transcripts of interviews, field notes, online pictures, audio, or anything else that you want to analyze. You will be asked to enter your data in the qualitative analysis software of your choice, and work with this during part 1 and 2.

Readings:

Creswell, J. W. (2003, 2017). Research design - qualitative, quantitative and mixed method approaches. London: SAGE. (in particular chapter 1 and chapter 11 (CH10 in 2017 5th edition)). See https://www.vitalsource.com/en-uk/referral?term=9781506386690

Richards, T., & Richards, L. (1992). Database organization for qualitative-analysis - the nudist(tm) system. Lecture Notes In Artificial Intelligence, 611, 116-133

Thomas Muhr, (1991). ATLAS/ti - A Prototype for the Support of Text Interpretation, Qualitative Sociology, 14(4).

King, N., (2012). Doing template analysis. In: Symon, G, and Cassell, C. (eds.). Qualitative Organizational Research: Core Methods and Current Challenges: 426-450. Sage, London.

Clemmensen, T. (2015). Notes on Digital Qualitative Analysis (unpublished).

 

 

Tuesday

23rd October 2018                   

Interpretive Research: Narrative Interviews and Narrative Methods – Anna Linda Musacchio Adorisio

The session introduces interpretive narrative research and addresses narrative as a way to investigate how actors involved in business practices create meaning. It deals with the actors´ subjective experience of business practices and the contingent historical and social contexts in which they are generated. On a methodological level, collecting and analyzing stories could imply different research designs and methods, which can range from ethnographic research methods for spontaneous stories, textual analysis for already produced stories or interviews methods for eliciting stories with interviewees. The seminar will provide participants with both a broad orientation to the theoretical and practical issues involved in the use of narrative approaches and an opportunity to apply these approaches to their own research using smaller breakout groups and discussions. The course provides an invitation for students to discuss their own research from various narrative and altenarrative perspectives and an opportunity to gain hands-on experience on the craft of doing narrative research.

Readings:

Boje, D.M. (1991). The storytelling organization: a study of story performance in an office supply firm. Administrative Science Quarterly, 36 (1), 106-126.

Boje, D.M. (2001). Narrative Methods for Organizational and Communication Research. London: Sage. (introduction)

Musacchio Adorisio, A.L. (2009) Storytelling in Organizations. London: Palgrave. (chapter 1-2-3-4)

Søderberg, A. -M. (2014). Narrative Interviewing and Narrative Analysis in a Study of a Cross-border Merger. In Bell, E. &Willmott, H. (Eds.) Qualitative Research in Business and Management. Volume1: Classical and Contemporary Studies. Sage 2014, pp. 401-420.

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.

 

 

Wednesday

24th October 2018

Ethnography and Fieldwork – Daniel Souleles

A hard-won truth in the social sciences is that there are some questions we can only answer by seeing people in context. However, glossed as “fieldwork”, “ethnographic work,” or, “deep hanging out,” or perhaps even categorized as “participant observation,” showing up and staying with both people and a research question in an open-ended way leads to a host of methodological, ethical, and artistic conundrums that vex fieldworkers at any level of expertise. This session aims to give doctoral students a starting point for planning and carrying out social-scientific fieldwork.

 

Given all that, this session will:

·         define ethnographic fieldwork;

·         discuss the types of research questions that can and cannot be answered via fieldwork;

·         identify methodological and ethical concerns that come with planning fieldwork;

·         review a number of different note-taking, and thereby data-gathering strategies;

·         workshop the analysis of field-notes; and

·         review and critique several examples of ethnographic fieldwork

 

Readings:

Malinowski, Bronislaw. 1922. “Introduction: The Subject, Method and Scope of This Inquiry.” In Argonauts of the Western Pacific. Pp. 1-25. Long Grove, Illinois: Waveland Press.

Spradley, James P. 1980. “Doing Participant Observation,” “Making an Ethnographic Record.” In Participant Observation. Pp. 53-84. New York: Holt Rinehart and Winston.

Emerson, Robert, Rachel I Fretz, and Linda L. Shaw. 2011. “2 In the Field: Participating, Observing, and Jotting Notes,” and “3 Writing Fieldnotes I: At the Desk, Creating Scenes on a Page.” In Writing Ethnographic Fieldnotes, Second Edition. Pp. 21-89. Chicago: The University of Chicago Press.

Bourgois, Philippe and Jeff Schonberg. 2009. “8 Everyday Addicts.” In Righteous Dopefiend. Pp. 241-271. Berkeley, CA: University of California Press

Coleman, Gabriella. 2014. “7 Revenge of the Lulz.” In Hacker Hoaxer, Whistleblower, Spy: The Story of Anonymous. Pp. 237-277. London: Verso.

Souleles, Daniel. 2017. “Don’t mix Paxil, Viagra, and Xanax: What financiers’ jokes say about inequality.” Economic Anthropology 4:107-119.

 

 

 

 

 

Thursday

25th October 2018

Case Research Methodology - Thomas Frandsen & & Jawwad Raja

Case research methods can allow the researcher to study complex organizational phenomenon within the context in which they are practiced. Hence case research holds the potential to enable the researcher to come closer to practice. However, case research requires methodological rigor in order to enable the researcher to develop insights leading to theoretical contributions. This session aims to give doctoral students a starting point for planning and carrying out case research. The session will provide an overview of different approaches for case research and cover central decisions on research design for the case researcher. This includes choices of case selection, negotiating access, preparing for and collecting data, analyzing and representing case data, reporting case research as well as ethical and legal considerations related to case research.

 

Readings:

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

Dubois, A., & Gadde, L. E. (2002). Systematic combining: an abductive approach to case research. Journal of Business Research, 55(7), 553-560.

Edmondson, A. C., & McManus, S. E. (2007). Methodological fit in management field researchAcademy of Management Review32(4), 1155-1179. 

Flyvbjerg, B. (2006). Five misunderstandings about case-study researchQualitative inquiry12(2), 219-245. 

Gehman, J., Glaser, V. L., Eisenhardt, K. M., Gioia, D., Langley, A., & Corley, K. G. (in press). Finding theory–method fit: A comparison of three qualitative approaches to theory buildingJournal of Management Inquiry.

Supplementary Video link to paper: http://journals.sagepub.com/doi/suppl/10.1177/1056492617706029

Langley, A., & Abdallah, C. (2011). Templates and turns in qualitative studies of strategy and management. In D. Bergh & D. Ketchen (Eds.), Building methodological bridges: Research methodology in strategy and management (pp. 201-235). Bingley, UK: Emerald.

Siggelkow, N. (2007). Persuasion with case studies. Academy of Management Journal50(1), 20-24.

 

Yin, R. K. (2017). Case study research and applications: Design and methods. Sage publications. (BOOK)

 

 

 

 

 

Friday

26th October 2018

Discourse and Thematic Analysis – Part 2: Abstraction and Communication of Findings – Torkil Clemmensen

Discourse and Thematic Analysis part 2 raises participants’ awareness of the quality of qualitative data analysis, such as the transparency of the research design, and the adherence to established rules for presenting qualitative data.

Part 2 offers participants practical experience in presenting qualitative data from a research project in a multidisciplinary context. Best cases and worst cases of digital qualitative analysis will be presented. Participants are expected to be willing to use data from their own research to present. In addition, we will have a “write notes for your method section” exercise.

Readings:

Dahler-Larsen, P. (2008). Displaying Qualitative Data. University Press of Southern Denmark, 2008. 170 pages.

Clemmensen, T. (2015). Notes on Digital Qualitative Analysis (unpublished).

 




Learning objectives


At the end of the course, students should be able to:

  • Discuss the theories and methods that were presented in class and covered by the readings
  • Design theoretically valid and methodologically rigorous qualitative studies
  • Develop protocols for qualitative data collection
  • Identify and assess data sources and data collection methods for qualitative studies
  • Demonstrate understanding of qualitative data analysis techniques
  • Interpret analytical results from qualitative studies
  • Assess the quality of qualitative studies
  • Articulate in writing a formal description of qualitative research design and analysis

 


Exam


A Pass/Fail grade will be based on individual take-home 5 pages written exam. Passing grade on four individual one page conversation starters and a coding exercise assignment are a prerequisite for taking the exam.


Written Exam

Exam will take the form of an individual take-home 5 pages written exam that is designed to foster the application of the qualitative research methods covered in the course.

The paper should emulate the research design section of a doctorate thesis. Accordingly, the paper should outline the design of a qualitative empirical study for investigating one's domain of interest or any other contemporary or emerging topic in social sciences. The paper should incorporate the following elements:

  • Selected topic to be investigated via qualitative research models (in brief)
  • Significance of the selected topic (in brief)
  • Prior research on the selected topic (in brief)
  • Research question(s) to be answered based on the selected topic
  • Theoretical lens to guide data collection and analysis (in details)
  • Qualitative research strategy being adopted to answer the research question(s) (in details)
  • Protocols for data collection
  • Possible data source(s)
  • Proposed data analytical technique(s) to be utilized
  • Potential contributions to theory and practice (in brief)

All work must be original material that is produced individually. The paper is due two weeks following the last session of the course. Re-take exam, if necessary, will be administered about a month later.

 


Other

Start date
22/10/2018

End date
26/10/2018

Level
PhD

ECTS
5

Language
English

Course Literature

Mandatory Readings:
See reading list in course plan.

Please plan ahead and obtain the reading materials, especially the books, ahead of time. Check in Learn for further information. Additional articles and resources may be provided on a need-to basis.

Books:



Musacchio Adorisio, A.L. (2009) Storytelling in Organizations. London: Palgrave.Yin, R. K. (2017).

Yin, R. K. (2017) Case study research and applications: Design and methods. Sage publications.

Self-select a good general reference book. We recommend one of the following:

Patton, Michael Quinn (Qualitative Research & Evaluation Methods Integrating Theory and Practice) or
Symon & Cassell (Qualitative Organizational Research: Core Methods and Current Challenges)

Fee
6.500 DKK

Minimum number of participants
12

Maximum number of participants
24

Location
Copenhagen Business School
Howitzvej 6, room: 5.23
2000 Frederiksberg

All daily sessions are 9:00 12:00 and 13:00 16:00 unless noted otherwise.

Contact information


For further enquiries about the course please send mail to Blazenka B. Kvistbo, bbk.research@cbs.dk

Registration deadline
04/10/2018



Please note that your registration is binding after the registration deadline.
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