IDEAS home Printed from https://ideas.repec.org/a/bla/sysdyn/v37y2021i2-3p99-125.html
   My bibliography  Save this article

Analytical thinking, Little's Law understanding, and stock‐flow performance: two empirical studies

Author

Listed:
  • Rosa Hendijani

Abstract

Stocks and flows are the foundations of dynamic systems. Most people have difficulties inferring the behavior of a stock from its flows. Recent studies have argued that understanding of stock‐flows can improve if individuals engage in analytical thinking. In this study, we examine the effect of analytical thinking and the mediating effect of Little's Law understanding on stock‐flow performance. Little's Law is one of the fundamental laws of queueing systems. Queueing systems are made of stocks and flows and their components, including arrivals, departures, and queue are the inflow, outflow, and accumulation in stock‐flow systems. Thus, it can be predicted that grasping Little's Law can mediate the effect of analytical thinking on stock‐flow performance. In order to examine the research hypotheses, two empirical studies were designed. The results supported our hypotheses in both studies. Analytical thinking had a positive effect on stock‐flow performance. Little's Law understanding partially mediated this effect. © 2021 System Dynamics Society.

Suggested Citation

  • Rosa Hendijani, 2021. "Analytical thinking, Little's Law understanding, and stock‐flow performance: two empirical studies," System Dynamics Review, System Dynamics Society, vol. 37(2-3), pages 99-125, April.
  • Handle: RePEc:bla:sysdyn:v:37:y:2021:i:2-3:p:99-125
    DOI: 10.1002/sdr.1685
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sdr.1685
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sdr.1685?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Maryam A. Andalib & Navid Ghaffarzadegan & Richard C. Larson, 2018. "The Postdoc Queue: A Labour Force in Waiting," Systems Research and Behavioral Science, Wiley Blackwell, vol. 35(6), pages 675-686, November.
    2. repec:cup:judgdm:v:4:y:2009:i:1:p:20-33 is not listed on IDEAS
    3. John D. Sterman & Linda Booth Sweeney, 2002. "Cloudy skies: assessing public understanding of global warming," System Dynamics Review, System Dynamics Society, vol. 18(2), pages 207-240, June.
    4. Strohhecker, Jürgen & Leyer, Michael, 2019. "How stock-flow failure and general cognitive ability impact performance in operational dynamic control tasks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1044-1055.
    5. Brent Moritz & Enno Siemsen & Mirko Kremer, 2014. "Judgmental Forecasting: Cognitive Reflection and Decision Speed," Production and Operations Management, Production and Operations Management Society, vol. 23(7), pages 1146-1160, July.
    6. Liang Qi & Cleotilde Gonzalez, 2015. "Mathematical knowledge is related to understanding stocks and flows: results from two nations," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 97-114, July.
    7. Shane Frederick, 2005. "Cognitive Reflection and Decision Making," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 25-42, Fall.
    8. Cronin, Matthew A. & Gonzalez, Cleotilde & Sterman, John D., 2009. "Why don't well-educated adults understand accumulation? A challenge to researchers, educators, and citizens," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(1), pages 116-130, January.
    9. Hämäläinen, Raimo P. & Luoma, Jukka & Saarinen, Esa, 2013. "On the importance of behavioral operational research: The case of understanding and communicating about dynamic systems," European Journal of Operational Research, Elsevier, vol. 228(3), pages 623-634.
    10. repec:cup:judgdm:v:5:y:2010:i:3:p:182-191 is not listed on IDEAS
    11. Guido A. Veldhuis & Hubert Korzilius, 2017. "Seeing with the Mind: The Relationship Between Spatial Ability and Inferring Dynamic Behaviour from Graphs," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(6), pages 710-727, November.
    12. Sterman, John & Booth Sweeney, Linda, 2002. "Cloudy Skies: Assessing Public Understanding of Global Warming," Working papers 4361-02, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    13. Holweg, Matthias & Bicheno, John, 2002. "Supply chain simulation - a tool for education, enhancement and endeavour," International Journal of Production Economics, Elsevier, vol. 78(2), pages 163-175, July.
    14. Arash Baghaei Lakeh & Navid Ghaffarzadegan, 2015. "Does analytical thinking improve understanding of accumulation?," System Dynamics Review, System Dynamics Society, vol. 31(1-2), pages 46-65, January.
    15. Arunachalam Narayanan & Brent B. Moritz, 2015. "Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1216-1234, August.
    16. Yaghoub Khojasteh-Ghamari & Ryo Sato, 2011. "Managing an assembly production process with a proper control policy," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 22(1), pages 2-25.
    17. David Cesarini & Magnus Johannesson & Patrik K. E. Magnusson & Björn Wallace, 2012. "The Behavioral Genetics of Behavioral Anomalies," Management Science, INFORMS, vol. 58(1), pages 21-34, January.
    18. Hung T. Do & Masha Shunko & Marilyn T. Lucas & David C. Novak, 2018. "Impact of Behavioral Factors on Performance of Multi‐Server Queueing Systems," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1553-1573, August.
    19. Sophie Guy & Yoshihisa Kashima & Iain Walker & Saffron O’Neill, 2013. "Comparing the atmosphere to a bathtub: effectiveness of analogy for reasoning about accumulation," Climatic Change, Springer, vol. 121(4), pages 579-594, December.
    20. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and the Sustainability of Competitive Advantage: Reply," Management Science, INFORMS, vol. 35(12), pages 1514-1514, December.
    21. Larsen, Erik R. & Morecroft, John D. W. & Thomsen, Jesper S., 1999. "Complex behaviour in a production-distribution model," European Journal of Operational Research, Elsevier, vol. 119(1), pages 61-74, November.
    22. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    23. Song-Hee Kim & Ward Whitt, 2013. "Statistical Analysis with Little's Law," Operations Research, INFORMS, vol. 61(4), pages 1030-1045, August.
    24. Rachel Croson & Karen Donohue, 2006. "Behavioral Causes of the Bullwhip Effect and the Observed Value of Inventory Information," Management Science, INFORMS, vol. 52(3), pages 323-336, March.
    25. Ingemar Dierickx & Karel Cool, 1989. "Asset Stock Accumulation and Sustainability of Competitive Advantage," Management Science, INFORMS, vol. 35(12), pages 1504-1511, December.
    26. Navid Ghaffarzadegan & Richard C. Larson, 2018. "SD meets OR: a new synergy to address policy problems," System Dynamics Review, System Dynamics Society, vol. 34(1-2), pages 327-353, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Strohhecker, Jürgen & Leyer, Michael, 2019. "How stock-flow failure and general cognitive ability impact performance in operational dynamic control tasks," European Journal of Operational Research, Elsevier, vol. 276(3), pages 1044-1055.
    2. Hendijani, Rosa, 2021. "The effect of thinking style on dynamic systems performance: The mediating role of stock-flow understanding," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    3. Arunachalam Narayanan & Brent B. Moritz, 2015. "Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1216-1234, August.
    4. Jürgen Strohhecker & Andreas Größler, 2012. "Implementing Sustainable Business Strategies," Systems Research and Behavioral Science, Wiley Blackwell, vol. 29(6), pages 547-570, November.
    5. Lane, David C. & Rouwette, Etiënne A.J.A., 2023. "Towards a behavioural system dynamics: Exploring its scope and delineating its promise," European Journal of Operational Research, Elsevier, vol. 306(2), pages 777-794.
    6. Martin F. G. Schaffernicht & Stefan N. Groesser, 2016. "A competence development framework for learning and teaching system dynamics," System Dynamics Review, System Dynamics Society, vol. 32(1), pages 52-81, January.
    7. Strohhecker, Jürgen & Größler, Andreas, 2013. "Do personal traits influence inventory management performance?—The case of intelligence, personality, interest and knowledge," International Journal of Production Economics, Elsevier, vol. 142(1), pages 37-50.
    8. Liang Qi & Cleotilde Gonzalez, 2015. "Mathematical knowledge is related to understanding stocks and flows: results from two nations," System Dynamics Review, System Dynamics Society, vol. 31(3), pages 97-114, July.
    9. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    10. Gürsu Aşιk & Zerrin Doğança Küçük, 2021. "Metacognition in action as a possible explanation for stock‐flow failure," System Dynamics Review, System Dynamics Society, vol. 37(4), pages 253-282, October.
    11. Manuel Brauch & Andreas Größler, 2022. "Holistic versus analytic thinking orientation and its relationship to the bullwhip effect," System Dynamics Review, System Dynamics Society, vol. 38(2), pages 121-134, April.
    12. Erik O. Sterner & Tom Adawi & U. Martin Persson & Ulrika Lundqvist, 2019. "Knowing how and knowing when: unpacking public understanding of atmospheric CO2 accumulation," Climatic Change, Springer, vol. 154(1), pages 49-67, May.
    13. Thompson, James P. & Howick, Susan & Belton, Valerie, 2016. "Critical Learning Incidents in system dynamics modelling engagements," European Journal of Operational Research, Elsevier, vol. 249(3), pages 945-958.
    14. Radboud J. Duintjer Tebbens & Kimberly M. Thompson, 2009. "Priority Shifting and the Dynamics of Managing Eradicable Infectious Diseases," Management Science, INFORMS, vol. 55(4), pages 650-663, April.
    15. Kirsten Davis & Navid Ghaffarzadegan & Jacob Grohs & Dustin Grote & Niyousha Hosseinichimeh & David Knight & Hesam Mahmoudi & Konstantinos Triantis, 2020. "The Lake Urmia vignette: a tool to assess understanding of complexity in socio‐environmental systems," System Dynamics Review, System Dynamics Society, vol. 36(2), pages 191-222, April.
    16. James Paine, 2023. "Dynamic supply chains with endogenous dispositions," System Dynamics Review, System Dynamics Society, vol. 39(1), pages 32-63, January.
    17. Florian Kapmeier & Roland Maximilian Happach & Meike Tilebein, 2017. "Bathtub Dynamics Revisited: An Examination of Déformation Professionelle in Higher Education," Systems Research and Behavioral Science, Wiley Blackwell, vol. 34(3), pages 227-249, May.
    18. Boschetti, Fabio & Richert, Claire & Walker, Iain & Price, Jennifer & Dutra, Leo, 2012. "Assessing attitudes and cognitive styles of stakeholders in environmental projects involving computer modelling," Ecological Modelling, Elsevier, vol. 247(C), pages 98-111.
    19. Stephen A. Spiller & Nicholas Reinholtz & Sam J. Maglio, 2020. "Judgments Based on Stocks and Flows: Different Presentations of the Same Data Can Lead to Opposing Inferences," Management Science, INFORMS, vol. 66(5), pages 2213-2231, May.
    20. Tobias Stangl & Ulrich W. Thonemann, 2017. "Equivalent Inventory Metrics: A Behavioral Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 472-488, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:sysdyn:v:37:y:2021:i:2-3:p:99-125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/0883-7066 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.