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The Dilemma of Developing and Maintaining High-Level Expertise

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Abstract

In this chapter, mètis is first presented as being both an entity (expert know-how) and a dynamic phenomenon (expert action). Tacit knowledge is then reviewed, not only as an important aspect of mètis, but in defining what it is and what it isn’t. It is argued that purely repository approaches based on words and code cannot fully explicate (nor ‘convert’) or address the inherent ineffability of tacit knowledge. Managers must grasp that a person cannot learn another’s tacit knowledge by way of only using an IT/KS repository of explicit knowledge. A novice seeking to appreciate an expert’s tacit knowledge must also immerse himself/herself within the activity or practice in question. Paradoxically, across increased task automation in combination with the growing use of expert system prompts, there is less hands-on practice and training occurring within the workplace; thus, leading to a loss of expertise (mètis) able to adequately deal with new, complex and ambiguous situations—situations which expert or automated systems are unable to successfully address alone. Finally, preliminary insights are proposed regarding more effective organizational configurations able to retain expert tacit knowledge while encouraging the evolution of mètis.

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References

  • Alavi, M., & Leidner, D. E. (2001). Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly, 25(1), 107–136.

    Article  Google Scholar 

  • Ambrosini, V., & Bowman, C. (2001). Tacit Knowledge: Some Suggestions for Operationalization. Journal of Management Studies, 38, 811–829.

    Article  Google Scholar 

  • Amin, A., & Cohendet, P. (2004). Architecture of Knowledge: Firms, Capabilities and Communities. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Ancori, B., Bureth, A., & Cohendet, P. (2000). The Economics of Knowledge: The Debate About Codification and Tacit Knowledge. Industrial and Corporate Change, 9(2), 255.

    Article  Google Scholar 

  • Balmisse, G. (2002). Gestions des connaissances: outils et applications du knowledge management. Coll. «Entreprendre informatique». Paris: Vuibert.

    Google Scholar 

  • Barad, K. (2007). Meeting the Universe Halfway: Quantum Physics and the Entanglement of Matter and Meaning. Durham: Duke University Press.

    Google Scholar 

  • Baumard, P. (1999). Tacit Knowledge in Organizations. London: Sage.

    Google Scholar 

  • Berger, P. L., & Luckmann, T. (1966). The Social Construction of Reality. Garden City: Anchor Books.

    Google Scholar 

  • Bérubé, M.-È., & Privé, C. (2009). La captation des connaissances dans le processus de relève. Le coin de l’expert. http://www.orhri.org/expert/fiche.aspx?p=351356

  • Carter, C., Clegg, S., & Kornberge, M. (2008). A Very Short, Interesting and Reasonably Cheap Book about Studying Strategy. London: Sage.

    Google Scholar 

  • Chalmers, D. (2011). A Computational Foundation for the Study of Cognition. The Journal of Cognitive Science, 12, 323–357.

    Google Scholar 

  • Chemero, T. (2009). Radical Embodied Cognitive Science. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Collins, H. (2007). Bicycling on the Moon: Collective Tacit Knowledge and Somatic-Limit Tacit Knowledge. Organization Studies, 28(2), 257–262.

    Google Scholar 

  • Collins, H. (2010). Tacit and Explicit Knowledge. Chicago: University of Chicago Press.

    Book  Google Scholar 

  • Cook, S., & Brown, J. S. (1999). Bridging Epistemologies: The Generative Dance Between Organizational Knowledge and Organizational Knowing. Organization Science, 10(4), 381–400.

    Article  Google Scholar 

  • Dejoux, C., & Léon, E. (2018). Métamorphose des managers. Paris: Pearson.

    Google Scholar 

  • Dewey, J. (1929). The Quest for Certainty: A Study of the Relation of Knowledge and Action. New York: Putnam.

    Google Scholar 

  • Dreyfus, H. L., & Dreyfus, S. E. (2005). Peripheral Vision Expertise in Real World Contexts. Organization Studies, 26(5), 779–792.

    Article  Google Scholar 

  • Falconer, L. (2006). Organizational Learning, Tacit Information, and e-Learning: A Review. The Learning Organization, 13(2), 140–151.

    Article  Google Scholar 

  • Faraj, S., Pachidi, S., & Sayegh, K. (2018). Working and Organizing in the Age of the Learning Algorithm. Information and Organization, 28, 62–70.

    Article  Google Scholar 

  • Friedman, L. H., & Bernell, S. (2006). The Importance of Team Level Tacit Knowledge and Related Characteristics of High-Performing Health Care Teams. Health Care Management Review, 31(3), 223–230.

    Article  Google Scholar 

  • Gherardi, S. (2009). Knowing and Learning in Practice-Based Studies: An Introduction. The Learning Organization, 16(5), 352–359.

    Article  Google Scholar 

  • Glasersfeld, E. von. (2002). Radical Constructivism: A Way of Knowing and Learning. London: RoutledgeFalmer.

    Book  Google Scholar 

  • Guiette, A., & Vandenbempt, K. (2016). Learning in Times of Dynamic Complexity Through Balancing Phenomenal Qualities of Sensemaking. Management Learning, 47(1), 83–99.

    Article  Google Scholar 

  • Hall, R., & Andriani, P. (2003). Managing Knowledge Associated with Innovation. Journal of Business Research, 56, 145–152.

    Article  Google Scholar 

  • Harkins, A. D. (2005). Too Much Guidance? Lancet, 365, 1768.

    Article  Google Scholar 

  • Harrison, S., & Checkland, K. (2009). Evidence-Based Practice in UK Health Policy. New York: Routledge.

    Google Scholar 

  • Høyland, S., Aase, K., & Hollund, J. G. (2011). Exploring Varieties of Knowledge in Safe Work Practices—An Ethnographic Study of Surgical Teams. Patient Safety in Patients, 21(5), 1–7.

    Google Scholar 

  • James, W. (1950). The Principles of Psychology. New York: Dover.

    Google Scholar 

  • Jarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons. https://doi.org/10.1016/j.bushor.2018.03.007.

  • Kahneman, D., & Klein, G. (2009). Conditions for Intuitive Expertise. American Psychologist, 64(6), 515–526.

    Article  Google Scholar 

  • Kakihara, M., & Sørensen, C. (2002). Exploring Knowledge Emergence: From Chaos to Organisational Knowledge. Journal of Global Information, 5(3), 48–66.

    Article  Google Scholar 

  • Latour, B. (2006). A Textbook Case Revisited: Knowledge as Mode of Existence. In E. Hackett, O. Amsterdamska, M. Lynch, & J. Wacjman (Eds.), The Handbook of Science and Technology Studies –Third Edition (pp. 83–112). Cambridge, MA: MIT Press.

    Google Scholar 

  • Leonard, D., & Swap, W. (2004). Deep Smarts. Harvard Business Review, 30(2), 157–169.

    Google Scholar 

  • Lindkvist, L. (2005). Knowledge Communities and Knowledge Collectivities: A Typology of Knowledge Work in Groups. Journal of Management Studies, 42(6), 1189–1210.

    Article  Google Scholar 

  • Marwala, T. (2015). Causality, Correlation and Artificial Intelligence for Rational Decision Making. Singapore: World Scientific.

    Book  Google Scholar 

  • Nicolini, D. (2011). Practice as the Site of Knowing: Insights from the Field of Telemedicine. Organization Science, 22(3), 602–620.

    Article  Google Scholar 

  • Nicolini, D., Gherardi, S., & Yanow, D. (2003). Knowing in Organizations: A Practice-Based Approach. London: M.E. Sharpe.

    Google Scholar 

  • Nonaka, I., & Peltokorpi, V. (2006). Objectivity and Subjectivity in Knowledge Management: A Review of 20 Top Articles. Knowledge and Process Management, 13(2), 73–82.

    Article  Google Scholar 

  • Nonaka, I., & Takeuchi, H. (1995). The Knowledge Creating Company. New York: Oxford University Press.

    Google Scholar 

  • Nonaka, I., & Takeuchi, H. (2004). Hitotsubashi on Knowledge Management. Wiley (Asia): Singapore, Singapore.

    Google Scholar 

  • Nonaka, I., & Von Krogh, G. (2009). Tacit Knowledge and Knowledge Conversion: Controversy and Advancement in Organizational Knowledge Creation Theory. Organization Science, 20(3), 635–652.

    Google Scholar 

  • Nonaka, I., Toyama, R., & Konno, N. (2000). SECI, Ba and Leadership: A Unified Model of Dynamic Knowledge Creation. Long Range Planning, 33, 5–34.

    Article  Google Scholar 

  • Nonaka, I., Toyama, R., & Hirata, T. (2008). Managing Flow: A Process Theory of the Knowledge-Based Firm. New York: Palgrave Macmillan.

    Book  Google Scholar 

  • Oakeshott, M. (1991). Rationalism in Politics and Other Essays. Indianapolis: Liberty Press, New and Expanded Edition.

    Google Scholar 

  • Orlikowski, W. J. (2002). Knowing in Practice: Enacting a Collective Capability in Distributed Organizing. Organization Science, 13(3), 249–273.

    Article  Google Scholar 

  • Orlikowski, W. J. (2007). Sociomaterial Practices: Exploring Technology at Work. Organization Studies, 28(9), 1435–1448.

    Article  Google Scholar 

  • Polanyi, M. (1962). Personal Knowledge. Chicago: The University of Chicago Press.

    Google Scholar 

  • Polanyi, M. (1966). The Tacit Dimension. London: Routledge and Kegan Paul.

    Google Scholar 

  • Polanyi, M., & Prosch, H. (1975). Meaning. Chicago: The University Of Chicago Press.

    Google Scholar 

  • Pomerol, J. C. (1997). Artificial Intelligence and Human Decision Making. European Journal of Operational Research, 99, 3–25.

    Article  Google Scholar 

  • Ray, T., & Clegg, S. (2007). Can We Make Sense of Knowledge Management’s Tangible Rainbow? A Radical Constructivist Alternative. Prometheus: Critical Studies in Innovation, 25(2), 161–185.

    Article  Google Scholar 

  • Rivard, L., & Roy, M.-C. (2005). Gestion stratégique des connaissances. Beaconsfield: Les Presses de l’Université Laval.

    Google Scholar 

  • Scott, J. C. (1998). Seeing Like a State: How Certain Schemes to Improve the Human State Have Failed. Binghamton: Vail-Ballou Press.

    Google Scholar 

  • Selamat, M. H., & Choudrie, J. (2004). The Diffusion of Tacit Knowledge and Its Implications on Information Systems: The Role of Meta-Abilities. Journal of Knowledge Management, 8(2), 128–139.

    Article  Google Scholar 

  • Suchman, L. A. (2009). Human-Machine Reconfigurations: Plans and Situated Actions (2nd ed.). Cambridge, UK: Cambridge University Press.

    Google Scholar 

  • Szulanski, G. (2000). The Process of Knowledge Transfer: A Diachronic Analysis of Stickiness. Organizational Behavior and Human Decision Processes, 82(1), 9–27.

    Article  Google Scholar 

  • Tsoukas, H. (2003). Do We Really Understand Tacit knowledge. In M. Easterby-Smith & M. Lyles (Eds.), The Blackwell Handbook of Organizational Learning and Knowledge Management (pp. 410–427). New York: Blackwell.

    Google Scholar 

  • Tsoukas, H. (2009). A Dialogical Approach to the Creation of New Knowledge in Organizations. Organization Science, 20(6), 941–957.

    Article  Google Scholar 

  • Tsoukas, H. (2015). How Should We Understand Tacit Knowledge? A Phenomenological View. In M. Easterby-Smith & M. A. Lyles (Eds.), Handbook of Organizational Learning and Knowledge Management (pp. 453–476). London: Wiley.

    Chapter  Google Scholar 

  • Varella, F., Thompson, E., & Rosch, E. (1991). The Embodied Mind: Cognitive Science and Human Experience. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Virtanen, I. (2013). In Search for a Theoretically Firmer Epistemological Foundation for the Relationship Between Tacit and Explicit Knowledge. The Electronic Journal of Knowledge Management, 11(2), 118–126.

    Google Scholar 

  • Wachter, B. (2015, February 23). My Interview with Capt. Sully Sullenberger: On Aviation, Medicine and Technology. The Hospital Leader. https://thehospitalleader.org/my-interview-with-capt-sully-sullenberger-on-aviation-medicine-and-technology/

  • Weick, K. E. (1995). Sensemaking in Organizations. Thousand Oaks: Sage.

    Google Scholar 

  • Weick, K. E. (2009). Making Sense of the Organization (Volume 2): The Impermanent Organization. Chichester: Wiley.

    Google Scholar 

  • Winther, R. G. (2014). James and Dewey on Abstractions. The Pluralist, 9(2), 1–28.

    Article  Google Scholar 

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Correspondence to W. David Holford .

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Holford, W.D. (2020). The Dilemma of Developing and Maintaining High-Level Expertise. In: Managing Knowledge in Organizations. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-41156-5_3

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