Social Connectivity

Chapter

Abstract

Social accounts of technological artefacts and their adoptions by communities of practice highlight the mechanisms of shaping technology. On one hand, looking at classifications and information systems explain how communities of practice identify themselves with adopted technological artefacts. On the other hand, people shape technological artefacts and drive technology evolution , hence technology innovation . However, it is therefore necessary to unveil the mechanisms that make us behave not only just as individuals, but also as societies. Technology has a pivotal role in connecting individuals. It is necessary to move the analysis from the micro, i.e. understanding how individuals or social actors behave with respect to technology, to the macro, i.e. understanding how societies or social groups behave with respect to technology.

References

  1. 1.
    Anderson R (2001) Why information security is hard—an economic perspective. In: Proceedings of the 17th annual computer security applications conference, ACSAC 2001. IEEE Computer Society, pp 358–365. doi: 10.1109/ACSAC.2001.991552
  2. 2.
    Anderson R, Moore T (2007) The economics of information security: A survey and open questions. In: Proceedings of the fourth bi-annual conference on the economics of the software and internet industriesGoogle Scholar
  3. 3.
    Besnard D, Greathead D, Baxter G (2004) When mental models go wrong: co-occurrences in dynamic, critical systems. Int J Hum Comput Stud 60(1):117–128. doi: 10.1016/j.ijhcs.2003.09.001 Google Scholar
  4. 4.
    Bowker GC, Star SL (1998) Building information infrastructures for social worlds—the role of classifications and standards. In: Ishida T (ed) Community computing and support systems, no. 1519 in LNCS. Springer, Berlin, pp 231–248. doi: 10.1007/3-540-49247-X_16
  5. 5.
    Bowker GC, Star SL (1999) Sorting things out: classification and its consequences. The MIT Press, CambridgeGoogle Scholar
  6. 6.
    CAA (2002) CAP 719—Fundamental human factor concepts. Civil Aviation AuthorityGoogle Scholar
  7. 7.
    Churchill EF, Halverson CA (2005) Social networks and social networking: guest editors’ introduction. IEEE Internet Comput 9(5):14–19. doi: 10.1109/MIC.2005.103 Google Scholar
  8. 8.
    Douglas M, Wildavsky A (1982) Risk and culture: an essay on the selection of technological and environmental dangers. University of California Press, BerkeleyGoogle Scholar
  9. 9.
    Gigerenzer G, Todd PM, TheABC Research Group (1999) Simple heuristics that make us smart. Oxford University Press, New YorkGoogle Scholar
  10. 10.
    Halverson CA (2002) Activity theory and distributed cognition: or what does CSCW need to DO with theories? Comput Support Coop Work 11(1–2):243–267. doi: 10.1023/A:1015298005381
  11. 11.
    Kaptelinin V, Nardi BA (2006) Acting with technology: activity theory and interaction design. The MIT Press, CambridgeGoogle Scholar
  12. 12.
    Klein HK, Kleinman DL (2002) The social construction of technology: structural considerations. Sci Technol Hum Values 27(1):28–52. doi: 10.1177/016224390202700102 Google Scholar
  13. 13.
    Küster Filipe J, Felici M, Anderson S (2003) Timed knowledge-based modelling and analysis: on the dependability of socio-technical systems. In: Proceedings of HAAMAHA 2003, 8th international conference on human aspects of advanced manufacturing: agility & hybrid automation, pp 321–328Google Scholar
  14. 14.
    Latour B (2003) Is re-modernization occurring—and if so, how to prove it? A commentary on Ulrich Beck. Theory Cult Soc 20(2):35–48. doi: 10.1177/0263276403020002002
  15. 15.
    Licoppe C, Smoreda Z (2005) Are social networks technologically embedded? How networks are changing today with changes in communication technology. Soc Netw 27(4):317–335. doi: 10.1016/j.socnet.2004.11.001 Google Scholar
  16. 16.
    MacKenzie D (2001) Physics and finance: S-terms and modern finance as a topic for science studies. Sci Technol Hum Values 26(2):115–144. doi: 10.1177/016224390102600201
  17. 17.
    MacKenzie D (2003) An equation and its worlds: bricolage, exemplars, disunity and performativity in financial economics. Soc Stud Sci 33(6):831–868. doi: 10.1177/0306312703336002 Google Scholar
  18. 18.
    MacKenzie D (2003) Long-term capital management and the sociology of arbitrage. Econ Soc 32(3):349–380. doi: 10.1080/03085140303130 Google Scholar
  19. 19.
    MacKenzie D (2004) The big, bad wolf and the rational market: portfolio insurance, the 1987 crash and the performativity of economics. Econ Soc 33(3):303–334. doi: 10.1080/0308514042000225680
  20. 20.
    MacKenzie D (2004) Social connectivities in global financial markets. Environ Plan D Soc Space 22(1):83–101. doi: 10.1068/d317t
  21. 21.
    MacKenzie D (2006) An engine, not a camera: how financial models shape markets inside technology. The MIT Press, CambridgeGoogle Scholar
  22. 22.
    MacKenzie, D, Wajcman, J (eds) (1999) The social shaping of technology. 2nd edn. Open University Press, PhiladelphiaGoogle Scholar
  23. 23.
    MacKenzie D, Millo Y (2003) Constructing a market, performing theory: the historical sociology of a financial derivatives exchange. Am J Sociol 109(1):107–145. doi: 10.1086/374404 Google Scholar
  24. 24.
    Nardi BA, Whittaker S, Schwarz H (2002) NetWORKers and their activity in intensional networks. Comput Support Coop Work 11(1–2):205–242. doi: 10.1023/A:1015241914483 Google Scholar
  25. 25.
    Neumann PG (1995) Computer related risks. The ACM Press, New YorkGoogle Scholar
  26. 26.
    Norman DA (1993) Things that make us smart: defining human attributes in the age of the machine. Perseus Books, CambridgeGoogle Scholar
  27. 27.
    Rushby J (2002) Using model checking to help discover mode confusions and other automation surprises. Reliab Eng Syst Saf 75(2):167–177. doi: 10.1016/S0951-8320(01)00092-8
  28. 28.
    Storey N (1996) Safety-critical computer systems. Addison-Wesley, HarlowGoogle Scholar
  29. 29.
    Strum S, Latour B (1987) The meanings of social: from baboons to humans. Inf Sci Soc 26:783–802CrossRefGoogle Scholar
  30. 30.
    Williams R, Stewart J, Slack R (2005) Social learning in technological innovation: experimenting with information and communication technologies. Edward Elgar, EnglandGoogle Scholar
  31. 31.
    Wright PC, Fields RE, Harrison MD (2000) Analyzing human–computer interaction as distributed cognition: the resource model. Hum Comput Interact 15(1):1–41. doi: 10.1207/S15327051HCI1501_01 Google Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.School of Informatics, The University of EdinburghEdinburghUK

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