Using Causal Mapping in the Analysis of Semi-structured Interviews

Igor Pyrko, Viktor Dörfler

Research output: Contribution to journalConference articlepeer-review


In this paper we systemize Eden and Ackermann’s approach to causal mapping as a technique for analyzing semi-structured interviews. By doing so, we aim to popularize causal mapping as an accessible, yet structured and formalized, method that can be used in a variety of studies within the broad organization and management research. In our discussion we characterize this approach to causal mapping as being grounded in Kelly’s ‘Theory of Personal Constructs’. Following Kelly’s work, causal mapping seeks to represent some aspects of a person’s thoughts about a given problem in question. On this basis, causal mapping, which is employed to work with different interviewees’ individual maps carefully merged together, helps to enable an intersubjective position from where the interrelationships, and feedback dynamics, between elements of interview material can be explored. Thereby, while causal mapping can be a good way of surfacing aspects of the available interview material which could not be accessed by other methods, it can be used in combination with more traditional methods such as thematic analysis or narrative analysis. As a result, we argue, not only does causal mapping offer a structured approach to qualitative coding, but it lends itself well to adaptation in new areas of study where it has not been applied so far.
Original languageEnglish
Number of pages36
JournalAcademy of Management Proceedings
Issue number1
Publication statusPublished - 1 Jul 2018
Event78th Annual Meeting of the Academy of Management, AOM 2018 - Chicago, United States
Duration: 10 Aug 201814 Aug 2018

Bibliographical note

Creative Commons Attribution Non-Commercial No Derivatives License. Pyrko, I., & Dörfler, V. (2018). Using causal mapping in the analysis of semi-structured interviews. Paper presented at 78th Annual Meeting of the Academy of Management, Chicago, United States.DOI: 10.5465/AMBPP.2018.14348abstract


  • interviews
  • causal mapping
  • cognitive mapping
  • qualitative analysis


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