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Service Economies and Complexity

  • Benoît DesmarchelierEmail author
Chapter
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Part of the Service Science: Research and Innovations in the Service Economy book series (SSRI)

Abstract

The economic literature on services has for a long time been dominated by an industrialist bias which considers services as unproductive. This point of view was progressively replaced by a more positive integrative framework that takes into account possibilities of non-technological innovations. However, this framework does not constitute a theory of the growth of services and business services. We show the proximity between the integrative framework and the complex systems, and we argue that theories of the dynamics of such systems offer promising explanations for these two phenomena. In a systemic perspective, services are catalysts—i.e. actors who increasingly complexify the economic system—by taking part to various production and innovation processes at the same time.

Keywords

Tertiarisation process Productivity Complex systems 

References

  1. Andersson A.E., Andersson D.E. (2017), Time, Space and Capital, Edward Elgar.Google Scholar
  2. Arthur W.B. (1993), Why Do things become More complex?, Scientific American, MayGoogle Scholar
  3. Arthur W.B. (2009), Complexity and the Economy, in Rosser B.J. (Eds.) Handbook of research on Complexity, Edward Elgar, Cheltenham, 12–21.Google Scholar
  4. Arthur W.B. (2015), On the evolution of complexity, in Arthur W.B. (Ed.) Complexity and the Economy, Oxford University Press, New York.Google Scholar
  5. Audretsch D.B., Lehmann E.E., Warning S. (2005), University spillovers and new firm location, Research Policy, 34, 1113–1122.CrossRefGoogle Scholar
  6. Basole R.C., Rouse W.B. (2008), Complexity of service value networks: conceptualization and empirical investigation, IBM Systems Journal, 47, 53–70.CrossRefGoogle Scholar
  7. Baumol W.J. (1967), Macroeconomics of unbalanced growth: the anatomy of an urban crisis, American Economic Review, 57, 415–426.Google Scholar
  8. Baumol W.J., Blackman S., Wolff E. (1985), Unbalanced growth revisited: asymptotic stagnancy and new evidence, American Economic Review, 75, 806–817.Google Scholar
  9. Baumol W.J., Bowen W. (1966), Performing arts: the economic dilemma. Twentieth Century Fund, New York.Google Scholar
  10. Beyers W.B., Lindahl D. P. (1996), Explaining the demand for producer services: is cost-driven externalization the major factor?, Papers in Regional Science, 75, 351–374.CrossRefGoogle Scholar
  11. Bryson J.R., Daniels P.W. (2010), Manuservice economy, in Maglio P.P., Kieliszewski C.A. and Spohrer J.C. (eds.), Handbook of Service Science, Springer, New York, 79–104.CrossRefGoogle Scholar
  12. Byrne D.M., Fernald J.G., Reinsdorf M.B. (2016), Does the United States have a productivity slowdown or a measurement problem?, Brookings Papers on Economic Activity, Spring, 109–182.Google Scholar
  13. Campbell-Kelly M., Garcia-Swartz D.D. (2007), From products to services: the software industry in the Internet era, Business History Review, 81, 735–764.CrossRefGoogle Scholar
  14. Chandler A.D. (2005), Commercializing High-Technology Industries, Business History Review, 79, 595–604.CrossRefGoogle Scholar
  15. De Vries E. (2006), Innovation in services in networks of organizations and in the distribution of services, Research Policy, 35, 1037–1051.CrossRefGoogle Scholar
  16. Delaunay J.C., Gadrey J (1992), Services in Economic Thought, Kluwer Academic PublishersCrossRefGoogle Scholar
  17. Desmarchelier B., Djellal F., Gallouj F. (2013), “Knowledge intensive business services and long term growth”, Structural Change and Economic Dynamics, 25, 188–205.CrossRefGoogle Scholar
  18. Desmarchelier B., Djellal F., Gallouj F. (2016), KIBS and the Dynamics of Industrial Clusters: a Complex Adaptive Systems Approach, in J. Ferreira, M. Raposo, C. Fermandes, M Dejardin (Eds.) Knowledge Intensive Business Services and Regional Competitiveness, Routledge, London, 48–82.Google Scholar
  19. Djellal F., Gallouj F. (2008), Measuring and Improving Productivity in Services: Issues, Strategies and Challenges. Edward Elgar, Cheltenham.CrossRefGoogle Scholar
  20. Erdõs P, Rényi A. (1960), On the evolution of random graphs, Publications of the Mathematical Institute of the Hungarian Academy of Sciences, 5, 17–61.Google Scholar
  21. Farmer J.D., Foley D. (2009), The economy needs agent-based modelling, Nature, 460, 685–686.CrossRefGoogle Scholar
  22. Feldman M. (2003), The locational dynamics of the US biotech industry: knowledge externalities and the anchor hypothesis, Industry and Innovation, 10, 311–328.CrossRefGoogle Scholar
  23. Fourastié J. (1949), Le grand espoir du XXème siècle. Presse Universitaire de France, Paris.Google Scholar
  24. Gadrey J. (1992), L’économie des services, La Découverte, Paris.Google Scholar
  25. Gallouj F. (1994), Economie de l’innovation dans les services, L’Harmattan, Paris.Google Scholar
  26. Gallouj F. (2002), Knowledge-intensive business services: processing knowledge and producing innovation, in Gadrey J., Gallouj F. (Eds.) Productivity, Innovation and Knowledge in Services, New Socio-Economic Approaches, Edward Elgar, Cheltenham, 256–284.Google Scholar
  27. Gallouj F., Savona M. (2009), Innovation in services: a review of the debate and a research agenda, Journal of Evolutionary Economics, 19, 149–172.CrossRefGoogle Scholar
  28. Gallouj F., Weinstein O. (1997), Innovation in Services, Research Policy, 26, 537–556.CrossRefGoogle Scholar
  29. Grossetti M. (2001), Genèse de deux systems urbains d’innovation en France: Grenoble et Toulouse, Réalités industrielles. Annales des mines, Février, 68–72.Google Scholar
  30. Hausmann R., Hidalgo C., Bustos S., Coscia M., Simoes A., Yildirim M.A. (2013), The Atlas of Economic Complexity, Mapping Paths to Prosperity. MIT Press.Google Scholar
  31. Holland J.H., Miller J.H. (1991), Artificial adaptive agents in economic theory, American Economic Review, 81, 365–370.Google Scholar
  32. Hordijk W. (2013), Autocatalytic sets: from the origin of life to the economy, BioScience, 63, 877–881.CrossRefGoogle Scholar
  33. Hughes T.P. (1987), The evolution of large technological systems, in Bijker W.E., Hughes T.P., Pinch T. (Eds.) The Social Construction of Technological Systems. New Directions in the Sociology and History of Technology, MIT Press, 51–82.Google Scholar
  34. Kauffman S (2011), Economics and the collectively autocatalytic structure of the real economy, 13.7 Cosmos and Culture, National Public Radio. (last access, 9 August 2017: www.npr.org/blogs/13.7/2011/11/21/142594308/economics-and-the-collectively-autocatalytic-structure-of-the-real-economy)
  35. Kauffman S. (1993), The Origins of Order. Self-Organization and Selection in Evolution, Oxford University Press.Google Scholar
  36. Kauffman S. (1995), At Home in the Universe, Oxford University Press.Google Scholar
  37. Lundvall B.A. (1988), National systems of innovation: towards a theory of innovation and interactive learning, in Lundvall B.A. (Ed.) The Learning Economy and the Economics of Hope, Anthem Press, 85–106.Google Scholar
  38. Niosi J., Bellon B., Saviotti P., Crow M. (1992), Les systèmes nationaux d’innovation : à la recherche d’un concept utilisable, Revue Française d’Economie, 7, 215–250.CrossRefGoogle Scholar
  39. OECD (2014), Education at a Glance 2014: OECD Indicators. OECD Publishing.Google Scholar
  40. Oulton N. (2001), “Must the growth rate decline? Baumol’s unbalanced growth revisited”, Oxford Economic Papers, 53, 605–627.CrossRefGoogle Scholar
  41. Pumain D. (2006), Alternative explanations of hierarchical differentiation in urban systems, in Pumain D. (Ed.), Hierarchy in Natural and Social Sciences, Springer, 169–222.Google Scholar
  42. Rosser B.J. (2009), Introduction, in Rosser B.J. (Ed.) Handbook of research on Complexity, Edward Elgar, Cheltenham, 4–11.CrossRefGoogle Scholar
  43. Rouse W.B. (2007), Complex engineered, organizational and natural systems, Systems Engineering, 10, 260–271.CrossRefGoogle Scholar
  44. Rouse W.B., Basole R.C. (2010), Understanding complex product and service delivery systems, in Maglio P.P., Kieliszewski C.A. and Spohrer J.C. (eds.), Handbook of Service Science, Springer, New York, 461–480.CrossRefGoogle Scholar
  45. Rouse W.B., McGinnis L.F., Basole R.C., Bodner D.A., Kessler W.C. (2009), Models of complex enterprise networks, Second International Symposium on Engineering Systems, MIT Cambridge, Massachusetts, June 15–17.Google Scholar
  46. Schramm C.J., Baumol W.J. (2010), Foreword, in Maglio P.P., Kieliszewski C.A. and Spohrer J.C. (eds.), Handbook of Service Science, Springer, New York, ix-xi.Google Scholar
  47. Spohrer J.C., Maglio P.P. (2010), Toward a science of service systems: value and symbols, in Maglio P.P., Kieliszewski C.A. and Spohrer J.C. (eds.), Handbook of Service Science, Springer, New York, 157–194.CrossRefGoogle Scholar
  48. Syverson C. (2017), Challenges to mismeasurement explanations for the US productivity slowdown, Journal of Economic Perspectives, 31, 165–186.CrossRefGoogle Scholar
  49. Wolfram S. (2002), A New Kind of Science, Wolfram Media, Inc.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.The University of LilleLilleFrance

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