IDEAS home Printed from https://ideas.repec.org/a/eee/bushor/v40y1997i1p63-68.html
   My bibliography  Save this article

Managerial intuition: A conceptual and operational framework

Author

Listed:
  • Shapiro, Stewart
  • Spence, Mark T.

Abstract

No abstract is available for this item.

Suggested Citation

  • Shapiro, Stewart & Spence, Mark T., 1997. "Managerial intuition: A conceptual and operational framework," Business Horizons, Elsevier, vol. 40(1), pages 63-68.
    • Handle: RePEc:eee:bushor:v:40:y:1997:i:1:p:63-68
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0007-6813(97)90027-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Robin M. Hogarth & Spyros Makridakis, 1981. "Forecasting and Planning: An Evaluation," Management Science, INFORMS, vol. 27(2), pages 115-138, February.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fanjuan Shi & Jean-Luc Marini, 2014. "Do we need to believe Data/Tangible or Emotional/Intuition?," Post-Print halshs-01065283, HAL.
    2. J. Robert Mitchell & Paul N. Friga & Ronald K. Mitchell, 2005. "Untangling the Intuition Mess: Intuition as a Construct in Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 29(6), pages 653-679, November.
    3. Christian Julmi, 2019. "When rational decision-making becomes irrational: a critical assessment and re-conceptualization of intuition effectiveness," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 291-314, April.
    4. Volker Thoma & Elliott White & Asha Panigrahi & Vanessa Strowger & Irina Anderson, 2015. "Good Thinking or Gut Feeling? Cognitive Reflection and Intuition in Traders, Bankers and Financial Non-Experts," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-17, April.
    5. José Lejarraga & Ester Martínez-Ros, 2010. "Revisiting the Size-R&D Productivity Relation: Introducing the Mediating Role of Decision-Making Style on the Scale and Quality of Innovative Output," Working Papers 1006, Departament Empresa, Universitat Autònoma de Barcelona, revised Mar 2010.
    6. Walsh, Christian & Collins, Jamie & Knott, Paul, 2022. "The four types of intuition managers need to know," Business Horizons, Elsevier, vol. 65(5), pages 697-708.
    7. Dane, Erik & Rockmann, Kevin W. & Pratt, Michael G., 2012. "When should I trust my gut? Linking domain expertise to intuitive decision-making effectiveness," Organizational Behavior and Human Decision Processes, Elsevier, vol. 119(2), pages 187-194.
    8. Grant Soosalu & Suzanne Henwood & Arun Deo, 2019. "Head, Heart, and Gut in Decision Making: Development of a Multiple Brain Preference Questionnaire," SAGE Open, , vol. 9(1), pages 21582440198, March.
    9. Božidar Vlačić & Inês G. Almeida Santos & Susana C. Silva & Miguel González-Loureiro, 2022. "Entrepreneurial cognition and internationalization speed: towards a potential moderating effect of experiential and rational information processing," International Entrepreneurship and Management Journal, Springer, vol. 18(2), pages 603-636, June.
    10. Maxim Egorov & Armin Pircher Verdorfer & Claudia Peus, 2019. "Taming the Emotional Dog: Moral Intuition and Ethically-Oriented Leader Development," Journal of Business Ethics, Springer, vol. 160(3), pages 817-834, December.
    11. Kopalle, Praveen K. & Kuusela, Hannu & Lehmann, Donald R., 2023. "The role of intuition in CEO acquisition decisions," Journal of Business Research, Elsevier, vol. 167(C).
    12. Dean A. Shepherd & Jeffery S. Mcmullen & William Ocasio, 2017. "Is that an opportunity? An attention model of top managers' opportunity beliefs for strategic action," Strategic Management Journal, Wiley Blackwell, vol. 38(3), pages 626-644, March.
    13. José Lejarraga & Ester Martinez-Ros, 2014. "Size, R&D productivity and Decision Styles," Small Business Economics, Springer, vol. 42(3), pages 643-662, March.
    14. Lone Seboni & Joseph Ssegawa, 2022. "Does a Project Manager Assignment Process Affect Project Management Performance Indicators? An Empirical Study," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    15. Kateřina Maňasová, 2012. "Intuition in Managerial Decision Making," Ekonomika a Management, Prague University of Economics and Business, vol. 2012(2), pages 18-23.
    16. Malewska Kamila & Sajdak Maja, 2014. "The Intuitive Manager and the Concept of Strategic Leadership," Management, Sciendo, vol. 18(2), pages 44-58, December.
    17. Ali E. Akgün & Halit Keskin & Sumeyye Y. Kırçovalı, 2019. "Organizational wisdom practices and firm product innovation," Review of Managerial Science, Springer, vol. 13(1), pages 57-91, February.
    18. Grant, Michael & Nilsson, Fredrik, 2020. "The production of strategic and financial rationales in capital investments: Judgments based on intuitive expertise," The British Accounting Review, Elsevier, vol. 52(3).
    19. Vincent, Vinod U., 2021. "Integrating intuition and artificial intelligence in organizational decision-making," Business Horizons, Elsevier, vol. 64(4), pages 425-438.
    20. Dayan, Mumin & Di Benedetto, C. Anthony, 2011. "Team intuition as a continuum construct and new product creativity: The role of environmental turbulence, team experience, and stress," Research Policy, Elsevier, vol. 40(2), pages 276-286, March.

    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. Goodwin, Paul, 2002. "Integrating management judgment and statistical methods to improve short-term forecasts," Omega, Elsevier, vol. 30(2), pages 127-135, April.
    2. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    3. Berend Wierenga & Gerrit H. Van Bruggen & Richard Staelin, 1999. "The Success of Marketing Management Support Systems," Marketing Science, INFORMS, vol. 18(3), pages 196-207.
    4. Zacharakis, Andrew & Shepherd, Dean A., 2005. "A non-additive decision-aid for venture capitalists' investment decisions," European Journal of Operational Research, Elsevier, vol. 162(3), pages 673-689, May.
    5. van Bruggen, G.H. & Smidts, A. & Wierenga, B., 2000. "The Powerful Triangle of Marketing Data, Managerial Judgment, and Marketing Management Support Systems," ERIM Report Series Research in Management ERS-2000-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    6. Piotr Tarka, 2016. "Intuition or Marketing Research Information Usefulness in Business Organizations in the Light of Ordinal Regression Analysis," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 41-51, September.
    7. Gary L. Lilien & Arvind Rangaswamy & Gerrit H. Van Bruggen & Katrin Starke, 2004. "DSS Effectiveness in Marketing Resource Allocation Decisions: Reality vs. Perception," Information Systems Research, INFORMS, vol. 15(3), pages 216-235, September.
    8. Abolghasemi, Mahdi & Hurley, Jason & Eshragh, Ali & Fahimnia, Behnam, 2020. "Demand forecasting in the presence of systematic events: Cases in capturing sales promotions," International Journal of Production Economics, Elsevier, vol. 230(C).
    9. Lilien, G.L. & Rangaswamy, A. & Starke, K. & van Bruggen, G.H., 2001. "How and Why Decision Models Influence Marketing Resource Allocations," ERIM Report Series Research in Management ERS-2001-33-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Perera, H. Niles & Hurley, Jason & Fahimnia, Behnam & Reisi, Mohsen, 2019. "The human factor in supply chain forecasting: A systematic review," European Journal of Operational Research, Elsevier, vol. 274(2), pages 574-600.
    11. Wierenga, Berend, 2011. "Managerial decision making in marketing: The next research frontier," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 89-101.
    12. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    13. Baecke, Philippe & De Baets, Shari & Vanderheyden, Karlien, 2017. "Investigating the added value of integrating human judgement into statistical demand forecasting systems," International Journal of Production Economics, Elsevier, vol. 191(C), pages 85-96.
    14. Tim Rakow & Charles Vincent & Kate Bull & Nigel Harvey, 2005. "Assessing the Likelihood of an Important Clinical Outcome: New Insights from a Comparison of Clinical and Actuarial Judgment," Medical Decision Making, , vol. 25(3), pages 262-282, May.
    15. Jessica L. Darby & David J. Ketchen & Brent D. Williams & Travis Tokar, 2020. "The Implications of Firm‐Specific Policy Risk, Policy Uncertainty, and Industry Factors for Inventory: A Resource Dependence Perspective," Journal of Supply Chain Management, Institute for Supply Management, vol. 56(4), pages 3-24, October.
    16. Gregory A. Baker & Joel K. Leidecker, 2001. "Does it pay to plan?: Strategic planning and financial performance," Agribusiness, John Wiley & Sons, Ltd., vol. 17(3), pages 355-364.
    17. Leitner, Johannes & Leopold-Wildburger, Ulrike, 2011. "Experiments on forecasting behavior with several sources of information - A review of the literature," European Journal of Operational Research, Elsevier, vol. 213(3), pages 459-469, September.
    18. Franses, Philip Hans, 2008. "Merging models and experts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 31-33.
    19. Yan, Ruiliang & Ghose, Sanjoy, 2010. "Forecast information and traditional retailer performance in a dual-channel competitive market," Journal of Business Research, Elsevier, vol. 63(1), pages 77-83, January.
    20. Dean Tjosvold, 1998. "Using and Valuing Accounting Information: Joint Decision Making Between Accountants and Retail Managers," Group Decision and Negotiation, Springer, vol. 7(4), pages 327-345, 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:eee:bushor:v:40:y:1997:i:1:p:63-68. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/bushor .

    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.