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Governing industrial organizations through cognitive machines

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Abstract

Recently, researchers on organization theory and behavior were challenged by the introduction of cognitive machines in the list of the organization’s participants. Researchers in this field advocated that cognitive machines contribute to improve cognitive abilities in the organization by extending people’s rationality and decision-making capacity and by reducing intra-individual and group dysfunctional conflicts. This paper supports these findings and extends their results to upper layers at managerial and organizational levels of application by proposing the concept of new industrial organizations with structure and processes of Computational Organization Management Networks. In such a new organization type, cognitive machines and cognitive information systems are prominent actors of governance, automation, and control of the whole enterprise.

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References

  • Bradshaw JM (1997) Software agents. AAAI Press, Menlo Park

    Google Scholar 

  • Hart SL (1997) Beyond greening: strategies for a sustainable world. Harv Bus Rev 75(1):67–76

    Google Scholar 

  • ITU-T (2000) Principles for a telecommunications management network. ITU-T Recommendation M.3010, International Telecommunication Union. United Nations specialized agency for information and communication technologies, Geneva

  • Kusiak A (2000) Computational intelligence in design and manufacturing. Wiley, New Jersey

    Google Scholar 

  • Lee GH (1998) Designs of components and manufacturing systems for agile manufacturing. Int J Prod Res 4(36):1023–1044

    Article  Google Scholar 

  • London T, Hart SL (2011) Next generation business strategies for the base of the pyramid: new approaches for building mutual value. Pearson Education, New Jersey

    Google Scholar 

  • Monfared MAS, Steiner SJ (1997) Emerging intelligent manufacturing systems. Int J Flex Autom Integr Manuf 5:151–170

    Google Scholar 

  • Nobre FS (2011) Core competencies of the new industrial organization. J Manuf Technol Manag 22(4):422–443 ISSN: 1741-038X

    Article  Google Scholar 

  • Nobre FS, Walker D (2011a) An ability-based view of the organization: strategic-resource and contingency domains. Learn Org 18(4):333–345 ISSN:0969-6474

    Article  Google Scholar 

  • Nobre FS, Walker D (2011b) A dynamic ability-based view of the organization. Int J Knowl Manag 7(2):86–101 ISSN:1548-0666

    Article  Google Scholar 

  • Nobre FS, Tobias AM, Walker DS (2009a) Organizational and technological implications of cognitive machines: designing future information management systems. IGI Global, NY, USA. ISBN: 978-1-60566-302-9

  • Nobre FS, Tobias AM, Walker D (2009b) The impact of cognitive machines in complex decisions and organizational change. J AI Soc 24(4):365–381

    Article  Google Scholar 

  • Nobre FS, Tobias AM, Walker D (2010) A new contingency view of the organization: managing complexity and uncertainty through cognition. Braz Adm Rev 7(4):379–396 ISSN:1807-7692

    Article  Google Scholar 

  • Pine BJ (1999) Mass customization: The new frontier in business competition. Harvard Business School, London

    Google Scholar 

  • Prahalad CK (2004) The fortune at the bottom of the pyramid. Wharton School Publishing, USA

    Google Scholar 

  • Prahalad CK, Hart SL (2002) The fortune at the bottom of the pyramid. Strategy Bus 26(First Quarter): 2–14

    Google Scholar 

  • Rao M et al (1993) Integrated distributed intelligent systems in manufacturing. Chapman & Hall, New York

    Google Scholar 

  • Toni A, Tonchia S (1998) Manufacturing flexibility: a literature review. Int J Prod Res 6(36):1587–1617

    Article  Google Scholar 

  • Watt SNK (1997) Artificial societies and psychological agents. In: Nwana S, Azarmi N (eds) Software agents and soft computing: towards enhancing machine intelligence. Springer, Berlin, pp 27–41

    Chapter  Google Scholar 

  • Wu B (1994) Manufacturing systems design and analysis: context and techniques, 2nd edn. Chapman & Hall, New York

    Google Scholar 

  • Zadeh LA (1973) Outline of a new approach to the analysis of complex systems and decision process. IEEE Trans Syst Man Cybern 3(1):28–44

    Article  MathSciNet  MATH  Google Scholar 

  • Zadeh LA (1994) Soft computing and fuzzy logic. IEEE Softw 11(1–6):48–56

    Article  Google Scholar 

  • Zadeh LA (1999) From computing with numbers to computing with words—from manipulation of measurements to manipulation of perceptions. IEEE Trans Circuits Syst 45(1):105–119

    MathSciNet  Google Scholar 

  • Zadeh LA (2001) A new direction in AI: toward a computational theory of perceptions. AI Mag 22(1):73–84

    Google Scholar 

Download references

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Correspondence to Farley Simon Nobre.

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Nobre, F.S. Governing industrial organizations through cognitive machines. AI & Soc 27, 501–507 (2012). https://doi.org/10.1007/s00146-011-0364-0

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