Capturing Managerial Cognition in Chilean Wineries: Hardening a New Method to Elicit and Code Mental Models of Dynamic Systems

Schaffernicht, Martin; Grösser, Stefan (2015). Capturing Managerial Cognition in Chilean Wineries: Hardening a New Method to Elicit and Code Mental Models of Dynamic Systems In: 33d international Conference of the System Dynamics Society. System Dynamics Society

[img] Text
Proc209_Groesser_Capturing Managerial Cognition in Chilean Wineries accepted.pdf - Accepted Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (914kB) | Request a copy

This paper contributes to research on mental models of dynamic systems (MMDS). MMDS research works with qualitative data that has to be elicited and analyzed to represent the MMDS as qualitative models which can be analyzed and compared by analysis tools like the “distance-ratio” method. We have revised the SD literature on collecting and analyzing qualitative data and devised an interview-based method which minimizes influence on interviewees and applies a coding process which yields a qualitative model according to the current definition of MMDS. We use exemplary data from a case study which is currently in process to show how the method is applied. We extract some observations concerning the particularity of coding for MMDS and the double competence which researchers should have. We also raise two questions for future research, dealing with the proper aggregation level of MMDS and with the unknown amount of researcher influence that a MMDS can resist without bias

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

Engineering and Information Technology > Institute for Data Applications and Security (IDAS)
Engineering and Information Technology
Business
Engineering and Information Technology > Institute for ICT-based Management (ICTM)

Name:

Schaffernicht, Martin and
Grösser, Stefan0000-0003-3412-2711

Publisher:

System Dynamics Society

Submitter:

Admin import user

Date Deposited:

18 Sep 2019 10:25

Last Modified:

18 Dec 2020 13:28

Related URLs:

ARBOR DOI:

10.24451/arbor.7757

URI:

https://arbor.bfh.ch/id/eprint/7757

Actions (login required)

View Item View Item
Provide Feedback