Skip to main content

Tacit “Knowledges”

  • Chapter
  • First Online:
Methodological Cognitivism

Abstract

Over the years the concept of “tacit knowledge”, introduced in modern epistemological literature thanks to the seminal work of the scientist and philosopher of science Polanyi (1958, 1966), has been applied more extensively in an ever-expanding number of disparate disciplines, which range from psychology to mathematics, from econometrics to religious thought, and from aesthetics to evolutionary economics. For example, if we limit our considerations to strictly economic literature, we find “tacit knowledge” used as an explicatory concept in studies of organisational learning (Nelson and Winter 1982; Fransman 1994; Cohen et al. 1996; Grant 1996; Marengo et al.2000), knowledge management (Nonaka and Takeuchi 1995; Baumard 1999; von Krogh et al. 2000), the role of technology in economic development (Metcalfe 1988; Kogut and Zander 1992; Senker 1995; Nightingale 1998, 2000; Balconi 2002; Koskinen and Vanharanta 2002), and technology transfer and innovation models (Faulkner et al. 1995; Howells 1996; Gorman 2002).

The present chapter is a modified version of Viale, R. & Pozzali, A. (2007). Cognitive aspects of Tacit Knowledge and Cultural Diversity. In L. Magnani & P. Li (eds.), Model-Based Reasoning in Science and Medicine, Heidelberg: Springer-Verlag; and of Viale, R. & Pozzali, A. Cognition, types of “tacit knowledge” and technology transfer. In R. Topol & B. Walliser (eds.) Cognitive Economics: New Trends, Oxford: Elsevier. With kind permission from Emerald Group Publishing Limited. The plural of Knowledge is not grammatically correct but it is introduced in this chapter to represent the varieties of tacit knowledge.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    The paper by Johnson et al. (2002) concentrates above all on a criticism of a theoretic use of the concept of “codification” by Cowan et al. (2000), who argue in favour of complementarity (and not of substitutability) between tacit knowledge and codified knowledge. Nightingale’s paper (2003) is more articulated; it considers a wider number of bibliographical references and accompanies his theoretical arguments with a considerable number of empirical supports, mostly taken from recent cognitive literature on procedural memory and implicit learning mechanisms. However, in his case too, the theoretic and the empirical aspects are woven together and not kept separate.

  2. 2.

    Gorman’s classification admits the possibility that tacit knowledge may be present as a constitutive element of a series of different types of knowledge, such as, for example, heuristics, mental patterns, physical abilities, moral imagination and so on, but it does not concretely specify the modalities with which this can take place.

  3. 3.

    By the way, this explains why in our times, with all the modern technology at our disposal, we are still not able to recreate or emulate Stradivari’s mastery in making violins!

  4. 4.

    Even if it is possible in certain cases to admit that, in the case of language, we can reach the formulation of an explicit rule, the fact remains that the total formalisation and codification of linguistic knowledge has not yet been reached, in spite of the considerable research effort expended over the years.

  5. 5.

    To remain in the field of neurosciences, further empirical evidence supporting the role of tacit knowledge in individual cognitive processes comes from research into implicit memory and perception phenomena (cf. Atkinson et al. 2000; Raichle 1998; Zeman 2001).

  6. 6.

    In a study of the sociocognitive difference between academic and industrial research, we have hypothesised that the difficulties of collaboration and transferring knowledge are based on the presence of different values in TBK, such as a different evaluation of time, different importance given to money and increased importance attributed to scientific reputation, which generate different decision-making ICRs in terms of risk assessment, treatment of sunk costs, and the falsification or confirmation of hypotheses (Viale et al. 2003)

  7. 7.

    Collins distinguishes five types of tacit knowledge: concealed knowledge, mismatched salience, ostensive knowledge, unrecognised knowledge and uncognised/uncognisable knowledge. Concealed knowledge encompasses all those tricks of the trade, rules of thumbs and practical stratagems that are part of scientists’ experience and that normally are not included in scientific publications and papers. Mismatched salience has to do with the fact that the development of new scientific knowledge usually involves an indefinite number of potentially important variables. Not all the possible variables have the same relevance and different scientists can attribute different importance to the same things. As this differential attribution is made quite often in a semi automatic manner, a scientist can have some difficulty in explaining this to other people. Ostensive knowledge is knowledge that can not be transmitted by words or formulas, but only by direct pointing, or demonstrating (as in the interpretation of radiography and other images). Unrecognised knowledge refers to the possibility that sometimes a scientist can perform aspects of an experiment in a certain way without realising their importance. Uncognised/uncognisable knowledge refers to all those activities that are carried out in an automatic and unconscious way. Of these, concealed knowledge is a type of knowledge that has a tacit character only on the basis of motivational factors related to the specific interests of the subject possessing the knowledge, while uncognised/uncognisable knowledge is difficult to detect empirically. Among the remaining three categories, the one that takes on the most important role is ostensive knowledge, which is substantially a further specification of the concept of skill-like knowledge.

  8. 8.

    It may also be that the category of “tacit knowledge as background knowledge” might not be of great interest from a cognitive point of view, as long as it has more to do with the social mechanisms for knowledge accumulation and transmission than with the individual specific cognitive endowment. Even the actual empirical role of this type of tacit knowledge is something that may be quite difficult to detect and ascertain. For these reasons, from a more applied and empirical point of view, the analysis may be limited to identifying two broad dimensions for tacit knowledge itself: tacit knowledge as competence and tacit knowledge as implicit cognitive rule s (or in other words tacit competence and tacit cognition). In this paper we have decided to stick to a tripartition of tacit knowledge for the sake of completeness, as long as we think that, even if it may be quite blurred and cumbersome, the concept of tacit knowledge as background knowledge cannot be omitted from the analysis completely.

References

  • Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, 94, 192–210.

    Article  Google Scholar 

  • Atkinson, A. P., Thomas, M. S. C., & Cleeremans, A. (2000). Consciousness: Mapping the theoretical landscape. Trends in Cognitive Science, 4, 372–382.

    Article  Google Scholar 

  • Balconi, M. (2002). Tacitness, codification of technological knowledge and the organization of industry. Research Policy, 31, 357–379.

    Article  Google Scholar 

  • Baumard, P. (1999). Tacit knowledge in organizations. London: SAGE.

    Google Scholar 

  • Berger, P. L., & Luckmann, T. (1966). The social construction of reality. A treatise in the sociology of knowledge. New York, NY: Doubleday.

    Google Scholar 

  • Berry, D. C. (1987). The problem of implicit knowledge. Expert Systems: The International Journal of Knowledge Engineering, 4, 144–151.

    Article  Google Scholar 

  • Berry, D. C., & Broadbent, D. E. (1988). Interactive tasks and the implicit-explicit distinction. British Journal of Psychology, 79, 251–272.

    Article  Google Scholar 

  • Berry, D. C., & Dienes, Z. (1991). The relationship between implicit memory and implicit learning. British Journal of Psychology, 82, 359–373.

    Article  Google Scholar 

  • Broadbent, D. E., Fitzgerald, P., & Broadbent, M. H. (1986). Implicit and explicit knowledge in the control of complex systems. British Journal of Psychology, 77, 33–50.

    Article  Google Scholar 

  • Cambrosio, A., & Keating, P. (1988). Going monoclonal: Art, science, and magic in the day-to-day use of hybridoma technology. Social Problems, 35, 244–260.

    Article  Google Scholar 

  • Chomsky, N. (1976). Reflections on language. Glasgow: Fontana.

    Google Scholar 

  • Chomsky, N. (1986). Knowledge of language. New York, NY: Praeger.

    Google Scholar 

  • Cleeremans A. (1995). Implicit learning in the presence of multiple cues. Proceedings of the 17th Annual Conference of the Cognitive Science Society, Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Cleeremans, A., Destrebecqz, A., & Boyer, M. (1998). Implicit learning: News from the front. Trends in Cognitive Science, 2, 406–416.

    Article  Google Scholar 

  • Cleeremans, A., & Jiménez, L. (1999). Fishing with the wrong nets: How the implicit slips through the representational theory of mind. The Behavioral and Brain Sciences, 22, 771.

    Article  Google Scholar 

  • Cohen, M. D., Burkhart, R., Dosi, G., Egidi, M., Marengo, L., Warglien, M., et al. (1996). Routines and other recurrent action patterns of organizations: Contemporary research issues. Industrial and Corporate Change, 5, 653–698.

    Article  Google Scholar 

  • Collins, H. M. (1992). Changing order. Replication and induction in scientific practice. Chicago, IL: University of Chicago Press.

    Google Scholar 

  • Collins, H. M. (2001). Tacit knowledge, Trust, and the Q of Sapphire. Social Studies of Science, 31, 71–85.

    Article  Google Scholar 

  • Cowan, R., David, P., & Foray, D. (2000). The explicit economics of codification and tacitness. Industrial and Corporate Change, 9, 211–253.

    Article  Google Scholar 

  • Damasio, A. R. (1999). The feeling of what happens: Body and emotion in the making of consciousness. London: William Heinemann.

    Google Scholar 

  • Dancy, J., & Sosa, E. (Eds.). (1992). A companion to epistemology. Oxford: Basil Blackwell.

    Google Scholar 

  • Dasgupta, P., & David, P. A. (1994). Towards a new economics of science. Research Policy, 23, 487–521.

    Article  Google Scholar 

  • Dewey, J., & Bentley, A. F. (1949). Knowing and the known. Boston, MA: Beacon.

    Google Scholar 

  • Dienes, Z., & Berry, D. C. (1997). Implicit learning: Below the subjective threshold. Psychonomic Bulletin Review, 4, 3–23.

    Article  Google Scholar 

  • Etzkowitz, H., Webster, A., & Healey, P. (Eds.). (1998). Capitalizing knowledge. New intersections of industry and academia. New York: SUNY.

    Google Scholar 

  • Faulkner, W., Senker, J., & Velho, L. (1995). Knowledge frontiers. Public sector research and industrial innovation in biotechnology, engineering ceramics and parallel computing. Oxford: Clarendon.

    Google Scholar 

  • Foray, D., & Cowan, R. (1997). The economics of codification and the diffusion of knowledge. Industrial and Corporate Change, 6, 595–622.

    Article  Google Scholar 

  • Foray, D., & Steinmueller, W. E. (2003). The economics of knowledge reproduction by inscription. Industrial and Corporate Change, 12, 299–319.

    Article  Google Scholar 

  • Fransman, M. (1994). Information, knowledge, vision and theories of the firm. In G. Dosi, D. J. Teece, & J. Chytry (Eds.), Technology, organization, and competitiveness. Oxford: Oxford University Press.

    Google Scholar 

  • Gigerenzer, G. (2000). Adaptive thinking. Rationality in the real world. Oxford: Oxford University Press.

    Google Scholar 

  • Ginsberg, M. L. (1998). Computer, games and the real world. Scientific American Presents, 9(4), 84–89.

    Google Scholar 

  • Godin, B., & Gingras, Y. (2000). The place of university in the system of knowledge production. Research Policy, 29, 273–278.

    Article  Google Scholar 

  • Gorman, M. E. (2002). Types of knowledge and their roles in technology transfer. Journal of Technology Transfer, 27, 219–231.

    Article  Google Scholar 

  • Gourlay S., (2002, April). Tacit Knowledge, Tacit Knowing or Behaving. 3rd European Organizational Knowledge, Learning and Capabilities Conference. Athens, Greece.

    Google Scholar 

  • Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 49, 323–334.

    Google Scholar 

  • Grant, R. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, 109–122.

    Article  Google Scholar 

  • Howells, J. (1996). Tacit knowledge, innovation and technology transfer. Technology Analysis & Strategic Management, 8, 91–106.

    Article  Google Scholar 

  • Johnson, B., Lorenz, E., & Lundvall, B.-A. (2002). Why all this fuss about codified and tacit knowledge? Industrial and Corporate Change, 11, 245–262.

    Article  Google Scholar 

  • Jordan, K., & Lynch, M. (1992). The sociology of a genetic engineering technique: Ritual and rationality in the performance of the “Plasmid Prep”. In A. Clark & J. Fujimura (Eds.), The right tools for the job: At work in 20th century life sciences (pp. 77–114). Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Keil, F. C. (1995). The growth of causal understandings of natural kinds. In D. Sperber et al. (Eds.), Causal cognition. Oxford: Oxford University Press.

    Google Scholar 

  • Kogut, B., & Zander, V. (1992). Knowledge of the firm, combinative capabilities and the replication of technology. Organization Science, 3, 383–397.

    Article  Google Scholar 

  • Koskinen, K. U., & Vanharanta, H. (2002). The role of tacit knowledge in innovation processes of small technology companies. International Journal of Production Economics, 80, 57–64.

    Article  Google Scholar 

  • Kuznets, S. (1965). Economic growth and structure. New York, NY: Norton.

    Google Scholar 

  • Lawson, C., & Lorenz, E. (1999). Collective learning, tacit knowledge and regional innovative capacity. Regional Studies, 33, 305–317.

    Article  Google Scholar 

  • Lehrer, K. (1990). Theory of knowledge. London: Routledge.

    Google Scholar 

  • MacKenzie, D., & Spinardi, G. (1995). Tacit knowledge, weapons design, and the uninvention of nuclear weapons. American Journal of Sociology, 101, 44–99.

    Article  Google Scholar 

  • Marengo, L., Dosi, G., Legrenzi, P., & Pasquali, C. (2000). The structure of problem-solving knowledge and the structure of organizations. Industrial and Corporate Change, 9, 757–788.

    Article  Google Scholar 

  • Metcalfe, J. S. (1988). The diffusion of innovation: An interpretative survey. In G. Dosi, C. Freeman, R. Nelson, G. Silverberg, & L. Soete (Eds.), Technical Change and Economic Theory. London: Pinter.

    Google Scholar 

  • Mokyr, J. (2002a). The gifts of Athena: Historical origins of the knowledge economy. Princeton, NJ: Princeton University Press (It. Translation (2004). I doni di Atena, Bologna: il Mulino).

    Google Scholar 

  • Mowery, D. C., & Rosenberg, N. (1998). Paths of innovation: Technological change in twentieth-century America. Cambridge, MA: Cambridge University Press.

    Book  Google Scholar 

  • Nelson, R. R., & Winter, S. (1982). An evolutionary theory of economic change. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Nightingale, P. (1998). A cognitive model of innovation. Research Policy, 27, 689–709.

    Article  Google Scholar 

  • Nightingale, P. (2000). Economies of scale in experimentation: Knowledge and technology in pharmaceutical R&D. Industrial and Corporate Change, 9, 315–359.

    Article  Google Scholar 

  • Nightingale, P. (2003). If Nelson and Winter are only half right about tacit knowledge, which half? A Searlean critique of ‘codification’. Industrial and Corporate Change, 12, 149–183.

    Article  Google Scholar 

  • Nisbett, R. E. (2003). The geography of thought: How Asians and Westerners think differently and why. New York, NY: The Free.

    Google Scholar 

  • Nisbett, R. E., & Masuda, T. (2006). Culture and point of view. In R. Viale, D. Andler, & L. Hirschfeld (Eds.), Biological and cultural bases of human inference. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001). Culture and systems of thought: Holistic vs. analytic cognition. Psychological Review, 108, 291–310.

    Article  Google Scholar 

  • Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. New York, NY: Oxford University Press.

    Google Scholar 

  • Norenzayan, A. (2006). Cultural variation in reasoning. In R. Viale, D. Andler, & L. Hirschfeld (Eds.), Biological and cultural bases of human inference. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Orsenigo, L. (2001). The (failed) development of a biotechnology cluster: The case of Lombardy. Small Business Economics, 17(1–2), 77–92.

    Article  Google Scholar 

  • Passingham, R. (1997). Functional organisation of the motor system. In R. S. J. Frackowiak, K. J. Friston, C. D. Frith, R. J. Dolan, & J. C. Mazziotta (Eds.), Human brain function. San Diego, CA: Academic.

    Google Scholar 

  • Petersen, S. E., van Mier, H., Fiez, J. A., & Raichle, M. A. (1998). The effects of practice on the functional anatomy of task performance. Proceedings of the National Academy of Science USA, 95(3), 853–860.

    Article  Google Scholar 

  • Pinch, T., Collins, H. M., & Carbone, L. (1996). Inside knowledge: Second order measures of skill. Sociological Review, 44, 163–186.

    Article  Google Scholar 

  • Polanyi, M. (1958). Personal knowledge: Towards a post-critical philosophy. London: Routledge & Kegan Paul.

    Google Scholar 

  • Pozzali, A. (2007). Can tacit knowledge fit into a computer model of scientific cognitive processes? The case of biotechnology. Mind & Society, 2(6), 211–224.

    Article  Google Scholar 

  • Pozzali, A. (2008). Tacit knowledge, implicit learning and scientific reasoning. Mind & Society, 2(7), 227–237.

    Article  Google Scholar 

  • Raichle, M. E. (1998). The neural correlates of consciousness: An analysis of cognitive skill learning [Review]. Philosophical Transactions: Biological Science, 353, 1889–1901.

    Google Scholar 

  • Reber, A. S. (1993). Implicit learning and tacit knowledge. An essay on the cognitive unconscious. Oxford: Oxford University Press.

    Google Scholar 

  • Roco, M.C., & Bainbridge, W.S., (Eds.) (2002). Converging Technologies for Improving Human Performance. Nanotechnology, Biotechnology, Information Technology and Cognitive Science, National Science Foundation Report, Arlington.

    Google Scholar 

  • Ryle, G. (1949/1984). The concept of mind. Chicago, IL: Chicago University Press.

    Google Scholar 

  • Saxenian, A. L. (1994). Regional advantage: Culture and competition in silicon valley and route 128. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Searle, J. (1992). The rediscovery of the mind. Cambridge, MA: MIT.

    Google Scholar 

  • Searle, J. (1995). The construction of social reality. New York, NY: Free.

    Google Scholar 

  • Senker, J. (1995). Tacit knowledge and models of innovation. Industrial and Corporate Change, 4, 425–447.

    Article  Google Scholar 

  • Spelke, E. S., Phillips, A., & Woodward, A. L. (1995). Infants’ knowledge of object motion and human action. In D. Sperber, D. Premack, & J. Premack (Eds.), Causal cognition. Oxford: Oxford University Press.

    Google Scholar 

  • Sperber, D., Premack, D., & Premack, A. J. (1995). Causal cognition. Oxford: Oxford University Press.

    Google Scholar 

  • Viale, R. (2006). Local or universal principles of reasoning? In R. Viale, D. Andler, & L. Hirschfeld (Eds.), Biological and cultural bases of human inferences. Hillsdale, NJ: Erlbaum.

    Google Scholar 

  • Viale, R. (2012). Methodological cognitivism mind (Rationality, and society, Vol. 1). Heidelberg: Springer.

    Book  Google Scholar 

  • Viale, R., & Pozzali, A. (2003). Al di qua della razionalità: la conoscenza tacita. Sistemi Intelligenti, XV(2), 325–346.

    Google Scholar 

  • Viale, R., Pozzali, A., & Passerini, G. (2003). Modelli socio-cognitivi nel sistema della ricerca pubblica e nel mondo delle imprese (Socio-cognitive models in academic and industrial research) (Working Paper). Torino: Fondazione Rosselli.

    Google Scholar 

  • Vincenti, W. (1990). What engineers know and how they know it: Analytical studies from aeronautical history. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  • von Krogh, G., Nonaka, I., & Nichiguchi, T. (Eds.). (2000). Knowledge creation. A source of value. London: Macmillan.

    Google Scholar 

  • Woolcock, M. (1998). Social capital and economic development: Toward a theoretical synthesis and policy framework. Theory and Society, 27(2).

    Google Scholar 

  • Zeman, A. (2001). Consciousness [Invited Review]. Brain, 124, 1263–1289.

    Article  Google Scholar 

  • Ziman, J. (1979). Reliable knowledge. Cambridge, MA: Cambridge University Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Viale, R. (2013). Tacit “Knowledges”. In: Methodological Cognitivism. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40216-6_12

Download citation

Publish with us

Policies and ethics