Abstract

AbstractStakeholder mental model elicitation can produce valuable insights into perceptions of complex systems such as ecosystems, economies, or the climate. These mental models can uncover crucial differences in perceptions between stakeholders and prevalent misunderstandings of the system, which can ultimately contribute to successful resource management. This paper introduces a novel tool to capture mental models: M‐Tool. M‐Tool was designed to be user‐friendly for diverse samples, and standardized to ease aggregation and comparison of mental models. With this tool, participants create influence diagrams with a fixed set of pictograms representing the system variables, and weighted arrows to display their relations. M‐Tool can be used to identify differences or changes in mental models or to co‐produce knowledge with stakeholders and develop strategies to address challenges within the system. This paper describes how to tailor the tool to a research project and discusses how M‐Tool may be suitable for diverse research applications. © 2021 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society.

Highlights

  • Mental models are internal representations of an external system, which consists of causal beliefs about the functioning of a system (Bostrom, 2017)

  • Mental models provide rich insights into a system based on observation and experience (Forrester, 1992), and eliciting stakeholders’ mental models increases the understanding of a system (Doyle & Ford, 1998)

  • This paper provides a short introduction to M-Tool and guides researchers to tailor the tool to their research question

Read more

Summary

Introduction

Mental models are internal representations of an external system, which consists of causal beliefs about the functioning of a system (Bostrom, 2017). Current influence diagram drawing software available to map mental models includes the Mental Modeller, in which participants generate the system variables and connect these with weighted arrows (Gray et al, 2013), and eCASS in which different types of system variables are entered by the respondents and linked with unweighted arrows (Kovacs et al, 2017). M-Tool may be valuable for researchers interested in comparing mental models across diverse samples, including those with low literacy.

Results
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.