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A journey around decision-making: Searching for the “big picture” across disciplines

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  • Adinolfi, Paola

Abstract

This paper carries out an interdisciplinary literature review to develop an updated framework that integrates all aspects of decision-making. It proposes a framework that combines the evolutionary perspective with the complexity theory to integrate the ontological communalities between the examined disciplines (operational research, psychology and management). Decision-making is regarded as a systemic, multi-tiered information-based process, founded on the interaction of the decision-maker with the environment in a sort of learning path which co-evolves through variation–selection–retention mechanisms nourished by environmental feedback.

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  • Adinolfi, Paola, 2021. "A journey around decision-making: Searching for the “big picture” across disciplines," European Management Journal, Elsevier, vol. 39(1), pages 9-21.
    • Handle: RePEc:eee:eurman:v:39:y:2021:i:1:p:9-21
    DOI: 10.1016/j.emj.2020.06.003
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    1. Wang, Zhan & McNally, Regina & Lenihan, Helena, 2019. "The role of social capital and culture on social decision-making constraints: A multilevel investigation," European Management Journal, Elsevier, vol. 37(2), pages 222-232.
    2. Andreas Glöckner & Tilmann Betsch, 2008. "Modeling Option and Strategy Choices with Connectionist Networks: Towards an Integrative Model of Automatic and Deliberate Decision Making," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2008_02, Max Planck Institute for Behavioral Economics.
    3. Forgas, Joseph P. & George, Jennifer M., 2001. "Affective Influences on Judgments and Behavior in Organizations: An Information Processing Perspective," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(1), pages 3-34, September.
    4. Ian I. Mitrofff & Frederick Betz, 1972. "Dialectical Decision Theory: A Meta-Theory of Decision-Making," Management Science, INFORMS, vol. 19(1), pages 11-24, September.
    5. Coget, Jean-Francois & Haag, Christophe & Gibson, Donald E., 2011. "Anger and fear in decision-making: The case of film directors on set," European Management Journal, Elsevier, vol. 29(6), pages 476-490.
    6. Jane E. Dutton & Liam Fahey & V. K. Narayanan, 1983. "Toward understanding strategic issue diagnosis," Strategic Management Journal, Wiley Blackwell, vol. 4(4), pages 307-323, October.
    7. Werner Ulrich, 1994. "Can We Secure Future-Responsive Management Through Systems Thinking and Design?," Interfaces, INFORMS, vol. 24(4), pages 26-37, August.
    8. Caniëls, Marjolein C.J., 2019. "Proactivity and supervisor support in creative process engagement," European Management Journal, Elsevier, vol. 37(2), pages 188-197.
    9. Daniel Hjorth & Bengt Johannisson, 2009. "Learning as an Entrepreneurial Process," Revue de l'Entrepreneuriat, De Boeck Université, vol. 8(2), pages 57-78.
    10. Ann Langley & Henry Mintzberg & Patricia Pitcher & Elizabeth Posada & Jan Saint-Macary, 1995. "Opening up Decision Making: The View from the Black Stool," Organization Science, INFORMS, vol. 6(3), pages 260-279, June.
    11. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    12. Robert Chia & Ajit Nayak, 2012. "Décisions dramatiques ou incisions imperceptibles ?. Vers une théorie de la prise de décisionen devenir," Revue française de gestion, Lavoisier, vol. 0(6), pages 147-166.
    13. Cristofaro, Matteo, 2019. "The role of affect in management decisions: A systematic review," European Management Journal, Elsevier, vol. 37(1), pages 6-17.
    14. Nonaka, Ikujiro & Kodama, Mitsuru & Hirose, Ayano & Kohlbacher, Florian, 2014. "Dynamic fractal organizations for promoting knowledge-based transformation – A new paradigm for organizational theory," European Management Journal, Elsevier, vol. 32(1), pages 137-146.
    15. Abatecola, Gianpaolo, 2014. "Research in organizational evolution. What comes next?," European Management Journal, Elsevier, vol. 32(3), pages 434-443.
    16. Smith, GF, 1989. "Managerial problem identification," Omega, Elsevier, vol. 17(1), pages 27-36.
    17. Wilms, Rafael & Winnen, Lothar A. & Lanwehr, Ralf, 2019. "Top Managers' cognition facilitates organisational ambidexterity: The mediating role of cognitive processes," European Management Journal, Elsevier, vol. 37(5), pages 589-600.
    18. Jean-François Coget & Christophe Haag & Donald E. Gibson, 2011. "Anger and fear in decision-making : The case of film directors on set," Post-Print hal-02312644, HAL.
    19. Robert C. Blattberg & Stephen J. Hoch, 1990. "Database Models and Managerial Intuition: 50% Model + 50% Manager," Management Science, INFORMS, vol. 36(8), pages 887-899, August.
    20. Wolfgang Gaissmaier & Lael J. Schooler & Rui Mata, 2008. "An ecological perspective to cognitive limits: Modeling environment-mind interactions with ACT-R," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3, pages 278-291, March.
    21. Khosravi, Pouria & Newton, Cameron & Rezvani, Azadeh, 2019. "Management innovation: A systematic review and meta-analysis of past decades of research," European Management Journal, Elsevier, vol. 37(6), pages 694-707.
    22. Andreas Glöckner & Tilmann Betsch, 2008. "Modelling option and strategy choices with connectionist networks: Towards an integrative model of automatic and deliberate decision making," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 3, pages 215-228, March.
    23. David Matthews, 2008. "Metadecision making: rehabilitating interdisciplinarity in the decision sciences," Systems Research and Behavioral Science, Wiley Blackwell, vol. 25(2), pages 157-179, March.
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