Methodological Considerations and Reflections of Mental Systems Mapping within an Alternative Food Community
Abstract
Cross-disciplinary consensus indicates that current food systems operate unsustainably and contribute significantly to global climate change, biodiversity loss and environmental degradation. Extreme events in recent years have drawn public attention to the serious socio-ecological challenges facing conventional food supply and consumption patterns. Our study aims to present, through a real-life example, the technique of mental modelling. Mental modelling, which belongs to the methodological family of systems mapping, is a suitable tool for holistic interpretation and representation of complex systems such as food systems, which provides an opportunity to map the systemic interrelatedness of problems and intervention points. The community involved in the research is the Farmer-Miller-Baker network, which includes actors engaged in the production of bakery products from environmentally friendly and ethically produced bread grains. The empirical background for the study is provided by mental models based on direct elicitation from ten network members. These models, developed through co-creation using semi-structured interviews, reveal participants’ cognitive constructs describing the unsustainable nature of the conventional bakery value chain and identify potential leverage points for sustainability transition. Our study focuses primarily on methodology, detailing the process of collecting and processing empirical data, and illustrating the method’s advantages, limitations, and further application possibilities.
References
Akimowicz, M. – Cummings, H. – Landman, K. (2016): Green lights in the Greenbelt? A qualitative analysis of farm investment decision-making in peri-urban Southern Ontario. Land Use Policy 55 24–36. https://doi.org/10.1016/j.landusepol.2016.03.024
Barbrook-Johnson, P. – Penn, A. S. (2022): Systems Mapping: How to build and use causal models of systems. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-01919-7
Béné, C. – Oosterveer, P. – Lamotte, L. – Brouwer, I. D. – de Haan, S. – Prager, S. D. – Talsma, E. F. – Khoury, C. K. (2019): When food systems meet sustainability – Current narratives and implications for actions. World Development 113 116–130. https://doi.org/10.1016/j.worlddev.2018.08.011
Benedek, Z. (2023): On the transformative potential of Hungarian local food-buying clubs. Frontiers in Sustainable Food Systems 7 1124877. https://doi.org/10.3389/fsufs.2023.1124877
Braun, V. – Clarke, V. (2012) Thematic analysis. In Cooper, H. – Camic, P. M. – Long, D. L. – Panter, A. T. – Sher, K. J. (szerk.): APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. Washington: American Psychological Association, 57–71.
Braun, V. – Clarke, V. (2021a): Can I use TA? Should I use TA? Should I not use TA? Comparing reflexive thematic analysis and other pattern‐based qualitative analytic approaches. Counselling and Psychotherapy Research 21(1): 37–47. https://doi.org/10.1002/capr.12360
Braun, V. – Clarke, V. (2021b): One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology 18(3): 328–352. https://doi.org/10.1080/14780887.2020.1769238
Braun, V. – Clarke, V. (2022): Thematic analysis: A practical guide. SAGE Publications.
Castellani, B. (2019): Map of the complexity sciences. Durham University, Art & Science Factory. Elérhető: https://www.art-sciencefactory.com/complexity-map_feb09.html
Cornish, F. – Gillespie, A. – Zittoun, T. (2014) Collaborative analysis of qualitative data. InThe SAGE Handbook of Qualitative Data Analysis. London: SAGE Publications Ltd, 79–93.
Csutora, M. – Zsóka, Á. (2018) Fogyasztás csökkentése a jóllét megőrzése mellett? A gazdasági válság tanulságai fenntarthatósági szempontból. InKörnyezet, gazdaság, társadalom. Tanulmányok Kerekes Sándor 70. születésnapja tiszteletére. Kaposvár: Kaposvári Egyetem Gazdaságtudományi Kar, 93–105.
Dentoni, D. – Cucchi, C. – Roglic, M. – Lubberink, R. – Bender-Salazar, R. – Manyise, T. (2023): Systems Thinking, Mapping and Change in Food and Agriculture. Bio-Based and Applied Economics 11(4): 277–301. https://doi.org/10.36253/bae-13930
Dipu, M. A. – Jones, N. A. – Aziz, A. A. (2022): Drivers and barriers to uptake of regenerative agriculture in southeast Queensland: a mental model study. Agroecology and Sustainable Food Systems 46(10): 1502–1526. https://doi.org/10.1080/21683565.2022.2114120
Douglas, E. M. – Wheeler, S. A. – Smith, D. J. – Overton, I. C. – Gray, S. A. – Doody, T. M. – Crossman, N. D. (2016): Using mental-modelling to explore how irrigators in the Murray–Darling Basin make water-use decisions. Journal of Hydrology: Regional Studies 6 1–12. https://doi.org/10.1016/j.ejrh.2016.01.035
El Bilali, H. (2019): Research on agro-food sustainability transitions: A systematic review of research themes and an analysis of research gaps. JOURNAL OF CLEANER PRODUCTION.
Elsawah, S. – Guillaume, J. H. A. – Filatova, T. – Rook, J. – Jakeman, A. J. (2015): A methodology for eliciting, representing, and analysing stakeholder knowledge for decision making on complex socio-ecological systems: From cognitive maps to agent-based models. Journal of Environmental Management 151 500–516. https://doi.org/10.1016/j.jenvman.2014.11.028
Ericksen, P. J. (2008): Conceptualizing food systems for global environmental change research. Global Environmental Change 18(1): 234–245. https://doi.org/10.1016/j.gloenvcha.2007.09.002
Etikan, I. – Musa, S. A. – Alkassim, R. S. (2016): Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics 5(1): 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
European Commission. Joint Research Centre. (2022): Concepts for a sustainable EU food system: reflections from a participatory process. LU: Publications Office. Elérhető: https://data.europa.eu/doi/10.2760/381319
European Environment Agency. (2019): Sustainability transitions: policy and practice. Luxembourg: Publications Office of the European Union. Elérhető: https://data.europa.eu/doi/10.2800/641030
European Environment Agency. (2022): Transforming Europe’s food system: assessing the EU policy mix. LU: Publications Office. Elérhető: https://data.europa.eu/doi/10.2800/295264
Fekete, M. (2017): Rendszertérképezés alkalmazása a hazai demenciastratégia megalapozásához. VEZETÉSTUDOMÁNY 48(12): 24–32. https://doi.org/doi.org/10.14267/VEZTUD.2017.12.03
Findlater, K. M. – Satterfield, T. – Kandlikar, M. (2019): Farmers’ Risk‐Based Decision Making Under Pervasive Uncertainty: Cognitive Thresholds and Hazy Hedging. Risk Analysis 39(8): 1755–1770. https://doi.org/10.1111/risa.13290
Funtowicz, S. – Ravetz, J. (2018): Post-normal science. Companion to environmental studies 443–447.
Ghadiri, M. – Newell, R. – Krawchenko, T. (2024): Participatory System Mapping for Food Systems: Lessons Learned from a Case Study of Comox Valley, Canada. Challenges 15(2): 22. https://doi.org/10.3390/challe15020022
Golafshani, N. (2015): Understanding Reliability and Validity in Qualitative Research. The Qualitative Report. https://doi.org/10.46743/2160-3715/2003.1870
Gori, F. – Castellini, A. (2023): Alternative Food Networks and Short Food Supply Chains: A Systematic Literature Review Based on a Case Study Approach. Sustainability 15(10): 8140. https://doi.org/10.3390/su15108140
Hanger-Kopp, S. – Lemke, L. K.-G. – Beier, J. (2024): What qualitative systems mapping is and what it could be: integrating and visualizing diverse knowledge of complex problems. Sustainability Science 19(3): 1065–1078. https://doi.org/10.1007/s11625-024-01497-3
Harper, S. – Dorton, S. (2019): A Context-Driven Framework for Selecting Mental Model Elicitation Methods. Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63(1): 367–371. https://doi.org/10.1177/1071181319631422
Hölscher, K. – Wittmayer, J. M. – Hirschnitz-Garbers, M. – Olfert, A. – Walther, J. – Schiller, G. – Brunnow, B. (2021): Transforming science and society? Methodological lessons from and for transformation research. Research Evaluation 30(1): 73–89. https://doi.org/10.1093/reseval/rvaa034
Johnson-Laird, P. N. (1995): Mental models: towards a cognitive science of language, inference, and consciousness. 6. print. Cambridge, Mass: Harvard Univ. Press.
Jones, N. A. – Ross, H. – Lynam, T. – Perez, P. (2014): Eliciting Mental Models: a Comparison of Interview Procedures in the Context of Natural Resource Management. Ecology and Society 19(1): art13. https://doi.org/10.5751/ES-06248-190113
Jones, N. A. – Ross, H. – Lynam, T. – Perez, P. – Leitch, A. (2011): Mental Models: An Interdisciplinary Synthesis of Theory and Methods. Ecology and Society 16(1): art46. https://doi.org/10.5751/ES-03802-160146
Király, G. (2017): Rendszerek és kapcsolatok : A részvételi rendszermodellezés módszerének bemutatása a felsőoktatásról készített oksági diagramok példáján. Vezetéstudomány-Budapest Management Review 48(4): 67–83. https://doi.org/doi.org/10.14267/VEZTUD.2017.04.09
Király, G. – Géring, Z. – Csillag, S. – Gáspár, T. – Köves, A. (2015): Iskola a jövőben? Educatio 28(3): 108–115.
Király, G. – Köves, A. – Pataki, G. – Kiss, G. (2014): Rendszermodellezés és részvétel: egy magyar kísérlet tanulságai. Szociológiai Szemle 24(2): 90–115.
Király, G. – Köves, A. – Pataki, G. – Kiss, G. (2016): Assessing the Participatory Potential of Systems Mapping. Systems Research and Behavioral Science 33(4): 496–514. https://doi.org/10.1002/sres.2374
Király, G. – Miskolczi, P. (2016): A részvétel dinamikája - Rendszerdinamika és részvétel: empirikus áttekintés. Replika-Társadalomtudományi folyóirat 100(5): 103–129.
Köhler, J. – Geels, F. W. – Kern, F. – Markard, J. – Onsongo, E. – Wieczorek, A. – Alkemade, F. – Avelino, F. – Bergek, A. – Boons, F. – Fünfschilling, L. – Hess, D. – Holtz, G. – Hyysalo, S. – Jenkins, K. – Kivimaa, P. – Martiskainen, M. – McMeekin, A. – Mühlemeier, M. S. – Nykvist, B. – Pel, B. – Raven, R. – Rohracher, H. – Sandén, B. – Schot, J. – Sovacool, B. – Turnheim, B. – Welch, D. – Wells, P. (2019): An agenda for sustainability transitions research: State of the art and future directions. Environmental Innovation and Societal Transitions 31 1–32. https://doi.org/10.1016/j.eist.2019.01.004
Köves, A. – Gáspár, J. – Matolay, R. (2020): Művészet és társadalomtudomány együttműködése a posztnormál tudományfelfogás keretein belül: backcasting kutatási eredmények egy interaktív színházi kalandjátékban. Magyar Tudomány 181(2): 210–221. https://doi.org/10.1556/2065.181.2020.2.7
LaMere, K. – Mäntyniemi, S. – Vanhatalo, J. – Haapasaari, P. (2020): Making the most of mental models: Advancing the methodology for mental model elicitation and documentation with expert stakeholders. Environmental Modelling & Software 124 104589. https://doi.org/10.1016/j.envsoft.2019.104589
Lang, D. J. – Wiek, A. – Bergmann, M. – Stauffacher, M. – Martens, P. – Moll, P. – Swilling, M. – Thomas, C. J. (2012): Transdisciplinary research in sustainability science: practice, principles, and challenges. Sustainability Science 7(S1): 25–43. https://doi.org/10.1007/s11625-011-0149-x
Maxwell, J. A. – Chmiel, M. (2014) Generalization in and from Qualitative Analysis. InThe SAGE Handbook of Qualitative Data Analysis. 55 City Road: SAGE Publications, Inc., 540–553.
Meadows, D. H. (2008): Thinking in Systems. A Primer. White River Junction: Chelsea Green Publishing Company.
Michel-Villarreal, R. – Hingley, M. – Canavari, M. – Bregoli, I. (2019): Sustainability in Alternative Food Networks: A Systematic Literature Review. Sustainability 11(3): 859. https://doi.org/10.3390/su11030859
Özesmi, U. – Özesmi, S. L. (2004): Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach. Ecological Modelling 176(1–2): 43–64. https://doi.org/10.1016/j.ecolmodel.2003.10.027
Plank, C. – Stotten, R. – Hafner, R. (2024): Values-based modes of production and consumption: analyzing how food alternatives transform the current food regime. Frontiers in Sustainable Food Systems 8 1266145. https://doi.org/10.3389/fsufs.2024.1266145
Rouse, W. B. – Morris, N. M. (1986): On looking into the black box: Prospects and limits in the search for mental models. Psychological bulletin 100(3): 349–363. https://doi.org/10.1037/0033-2909.100.3.349
Scoones, I. – Leach, M. – Smith, A. – Stagl, S. – Stirling, A. – Thompson, J. (2007): Dynamic Systems and the challenge of Sustainability. University of Sussex. Elérhető: https://hdl.handle.net/10779/uos.23365931.v1
Tessier, L. – Bijttebier, J. – Marchand, F. – Baret, P. V. (2021): Cognitive mapping, flemish beef farmers’ perspectives and farm functioning: a critical methodological reflection. Agriculture and Human Values 38(4): 1003–1019. https://doi.org/10.1007/s10460-021-10207-z
Tregear, A. (2011): Progressing knowledge in alternative and local food networks: Critical reflections and a research agenda. Journal of Rural Studies 27(4): 419–430. https://doi.org/10.1016/j.jrurstud.2011.06.003
Van Den Broek, K. L. – Luomba, J. – Van Den Broek, J. – Fischer, H. (2023): Content and complexity of stakeholders’ mental models of socio-ecological systems. Journal of Environmental Psychology 85 101906. https://doi.org/10.1016/j.jenvp.2022.101906
Van Den Broek, K. L. – Negro, S. O. – Hekkert, M. P. (2024): Mapping mental models in sustainability transitions. Environmental Innovation and Societal Transitions 51 100855. https://doi.org/10.1016/j.eist.2024.100855