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Comparative Cause Mapping of Organizational Cognitions

Author

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  • Mauri Laukkanen

    (Department of Management and Organization, University of Vaasa, PB 297 SF-65101, Vaasa, Finland)

Abstract

Increasingly, thoughtful managers recognize the role of knowledge and learning in corporate action and performance. Concurrently, a new field, management and organization cognition (MOC), has emerged producing useful insights and findings. Thus far, empirical studies have largely focused on single cases or actors, using often archival data and sometimes ambiguous methods. To advance the field will require pragmatic tools for eliciting data on thinking in real organizations and for conducting rigorous and more comparative studies of management and organization cognitions.This paper describes a method for comparatively studying real-life managerial thinking, defined here as the respective manager's beliefs about key phenomena and their efficacy links in their strategic and operative situation. The applicability of such a definition will depend on the requirements of research at hand. The payoff is that, thus defined, key elements in managerial and organizational cognitions can be usefully captured by cognitive mapping, an established approach in MOC research.The approach contains, first, a method for eliciting comparison-enabling interview data of several subjects. Then, using researcher-based, interpretive standardization of the individual natural discourses, databases of standard concepts and causal links, constituting the cause map elements, are distilled. This facilitates a text-oriented description of the thinking patterns of single actors like managers or organizational groups, which can be used in traditional-type mapping studies, which typically assume unitary or quasi-unitary actors. However, the method is intended for comparative analyses, e.g., for pinpointing the cognitive differences or similarities across organizational actors or for constructing and comparing groups, assumed cognitively homogenous. Also, it is applicable for longitudinal studies or aggregated, e.g., industry-level, descriptions of MOC. A PC application is available for the technique, although many of the processing tasks are amenable to general-purpose relational database software.The paper presents a study case comparing the cognitive structures of managers in two interrelated industries in terms of their concept bases and causal beliefs. The objective was to understand the substance of management thinking, as well as the formative logic behind how managers come to think in the shared ways. It is shown that patterns of industry-typical core causal thinking, manifestations of a dominant logic or recipe, can be located, operationalized and comparatively analyzed with this method. Substantively, the contents of management thinking are typically products of complex long-term mechanisms. These consist, first, of organizational problem-solving, recurrently facing a specific, adequately stable constellation of strategic tasks and environment elements, similar within industries and systematically different across them, and, second, of various social processes, which directly transfer and influence management thinking. The paper concludes with discussing the cause mapping method and suggests some options for further studies.

Suggested Citation

  • Mauri Laukkanen, 1994. "Comparative Cause Mapping of Organizational Cognitions," Organization Science, INFORMS, vol. 5(3), pages 322-343, August.
  • Handle: RePEc:inm:ororsc:v:5:y:1994:i:3:p:322-343
    DOI: 10.1287/orsc.5.3.322
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    Citations

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    Cited by:

    1. Gary F. Templeton & Mark B. Schmidt & G. Stephen Taylor, 2009. "Managing the diffusion of organizational learning behavior," Information Systems Frontiers, Springer, vol. 11(2), pages 189-200, April.
    2. Huang, Fuqun & Smidts, Carol, 2017. "Causal Mechanism Graph ─ A new notation for capturing cause-effect knowledge in software dependability," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 196-212.
    3. R Volkema, 2009. "Natural language and the art and science of problem/opportunity formulation: a transportation planning case analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1360-1372, October.
    4. David P. Tegarden & Linda F. Tegarden & Steven D. Sheetz, 2009. "Cognitive Factions in a Top Management Team: Surfacing and Analyzing Cognitive Diversity using Causal Maps," Group Decision and Negotiation, Springer, vol. 18(6), pages 537-566, November.
    5. Schaffernicht, Martin F.G. & Groesser, Stefan N., 2014. "The SEXTANT software: A tool for automating the comparative analysis of mental models of dynamic systems," European Journal of Operational Research, Elsevier, vol. 238(2), pages 566-578.
    6. Florence Allard-Poesi, 1998. "Representations And Influence Processes In Groups: Towards A Socio-Cognitive Perspective On Cognition In Organization," Post-Print hal-01490579, HAL.
    7. Chaney, Damien & Marshall, Roger, 2013. "Social legitimacy versus distinctiveness: Mapping the place of consumers in the mental representations of managers in an institutionalized environment," Journal of Business Research, Elsevier, vol. 66(9), pages 1550-1558.
    8. Mary Ann Glynn & Lee Watkiss, 2020. "Of Organizing and Sensemaking: From Action to Meaning and Back Again in a Half‐Century of Weick’s Theorizing," Journal of Management Studies, Wiley Blackwell, vol. 57(7), pages 1331-1354, November.
    9. Arnaud Eve & Pierre-Antoine Sprimont, 2013. "Etude exploratoire sur la perception de la Etude exploratoire sur la perception de la norme de management de la qualité par les opérationnels, et son impact sur leur attitude au travail : le cas de l'," Post-Print hal-01574344, HAL.
    10. Marco Castellani & Linda Alengoz & Niccolò Casnici & Flaminio Squazzoni, 2022. "A role-game laboratory experiment on the influence of country prospects reports on investment decisions in two artificial organizational settings," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 21(1), pages 121-149, June.
    11. Schaffernicht, Martin FG. & Groesser, Stefan N., 2024. "Mental models of dynamic systems are different: Adjusting for heterogeneous granularity," European Journal of Operational Research, Elsevier, vol. 312(2), pages 653-667.
    12. Spanellis, Agnessa & MacBryde, Jillian & Dӧrfler, Viktor, 2021. "A dynamic model of knowledge management in innovative technology companies: A case from the energy sector," European Journal of Operational Research, Elsevier, vol. 292(2), pages 784-797.

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