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Relation between managerial cognition and industrial performance: An assessment with strategic cognitive maps using fuzzy-set qualitative comparative analysis

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  • Kumbure, Mahinda Mailagaha
  • Tarkiainen, Anssi
  • Luukka, Pasi
  • Stoklasa, Jan
  • Jantunen, Ari

Abstract

Strategic management researchers have long been fascinated with company performance in terms of underlying managerial cognition and its interpretation. This paper presents a methodology to examine the linkage between the cognition of individuals and company performance. We link cognitive maps with fuzzy-set qualitative comparative analysis (fsQCA) and examined the role of standard and newly proposed consistency and coverage formulas in the evaluation of social science data. We investigate the effect of cognitive diversity within a company, and between companies within an industry on company performance using experimental and real-life data. The proposed method used a cognitive mapping approach to elicit strategy frames from individuals in management teams and operationalized their cognitive diversity by distance ratios between individual- and group-level cognitive maps. The results highlight the different opportunities of cognitive diversity to the enhancement of company performance in the market and confirm the usefulness of new fsQCA consistency and coverage measures.

Suggested Citation

  • Kumbure, Mahinda Mailagaha & Tarkiainen, Anssi & Luukka, Pasi & Stoklasa, Jan & Jantunen, Ari, 2020. "Relation between managerial cognition and industrial performance: An assessment with strategic cognitive maps using fuzzy-set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 114(C), pages 160-172.
    • Handle: RePEc:eee:jbrese:v:114:y:2020:i:c:p:160-172
    DOI: 10.1016/j.jbusres.2020.04.001
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    Cited by:

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    2. Lin, Nidthida & Wilden, Ralf & Chirico, Francesco & Ghasrodashti, Elahe & DeTienne, Dawn R., 2022. "Persist or let it go: Do rational entrepreneurs make decisions rationally?," Journal of Business Venturing, Elsevier, vol. 37(4).
    3. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Residential consumer preferences to demand response: Analysis of different motivators to enroll in direct load control demand response," Energy Policy, Elsevier, vol. 173(C).
    4. Qi Song & Xiaohong Chen & Hao Gu, 2023. "How Technological, Organizational, and Environmental Factors Drive Enterprise Digital Innovation: Analysis Based on the Dynamic FsQCA Approach," Sustainability, MDPI, vol. 15(16), pages 1-22, August.
    5. Sridhar, Araavind & Honkapuro, Samuli & Ruiz, Fredy & Stoklasa, Jan & Annala, Salla & Wolff, Annika & Rautiainen, Antti, 2023. "Toward residential flexibility—Consumer willingness to enroll household loads in demand response," Applied Energy, Elsevier, vol. 342(C).
    6. Alfonso Carfora & Giuseppe Scandurra & Antonio Thomas, 2021. "Determinants of environmental innovations supporting small‐ and medium‐sized enterprises sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2621-2636, July.

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