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The use and impact of technology in factory environments: evidence from a survey of manufacturing industry in Spain

  • Josep Llach PagèsEmail author
  • Andrea Bikfalvi
  • Rodolfo de Castro Vila
ORIGINAL ARTICLE

Abstract

The aim of this paper is to examine information related to the implementation of shop floor technologies and information technologies. This will be complemented with data relating to different levels of usage of the technologies. In addition, we test whether implementation alone is able to improve company performance or whether a high level of usage is also important. The empirical evidence comes from a sample of 151 Spanish manufacturing companies surveyed according to the European Manufacturing Survey's methods in 2006. Our results show that the most widely adopted technology is computer-aided design (CAD), followed by enterprise resource planning (ERP) and industrial robots. When the focus is on the level of use, the most highly used technologies turn out to be very similar—CAD–computer-aided manufacturing, ERP, and industrial robots—. Multiple regression analysis shows a positive correlation between the variable “level of usage” and performance. The relationship between adoption and results is less strong. These results have some implications and the paper ends with an explanation of how these findings should be used by firms in the development of future policies or strategic plans.

Keywords

Shop-floor technologies IT Manufacturing CIM Spain 

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References

  1. 1.
    Jin-Hai L, Anderson AR, Harrison RT (2003) The evolution of agile manufacturing. Bus Process Manag J 9(2):170–189CrossRefGoogle Scholar
  2. 2.
    Koc T, Bozdag E (2009) The impact of AMT practices on firm performance in manufacturing SMEs. Robot Comput-Integr Manuf 25:303–313CrossRefGoogle Scholar
  3. 3.
    Thakur LS, Jain VK (2008) Advanced manufacturing techniques and information technology adoption in India: a current perspective and some comparisons. Int J Adv Manuf Technol 36:618–631CrossRefGoogle Scholar
  4. 4.
    Theodorou P, Florou G (2008) Manufacturing strategies and financial performance—the effect of advanced information technology: CAD/CAM systems. Omega 36(1):107–121CrossRefGoogle Scholar
  5. 5.
    Browne J, Sackett PJ, Wortmann JC (1995) Future manufacturing systems—towards the extended enterprise. Comput Ind 25(3):235–254CrossRefGoogle Scholar
  6. 6.
    Folan P, Browne J (2005) Development of an extended enterprise performance measurement system. Prod Plan Control 16(6):531–544CrossRefGoogle Scholar
  7. 7.
    Sharp JM, Irani Z, Desai S (1999) Working towards agile manufacturing in the UK industry. Int J Prod Econ 62(1–2):155–169CrossRefGoogle Scholar
  8. 8.
    Cooper RB, Zmud RW (1990) Information technology implementation research: a technological diffusion approach. Manag Sci 36(2):123–139CrossRefGoogle Scholar
  9. 9.
    Nagalingam SV, 1. Lin, Grier C. (2009) CIM—still the solution for manufacturing industry. Robot Comput Integrated Manuf 24(3):332–344Google Scholar
  10. 10.
    Zhang Z, Sharifi H (2000) A methodology for achieving agility in manufacturing organisations. Int J Oper Prod Manage 20(3/4):496CrossRefGoogle Scholar
  11. 11.
    Boyer KK, Leong GK, Ward PT, Krajewski LJ (1997) Unlocking the potential of advanced manufacturing technologies. J Oper Manage 15:331–347CrossRefGoogle Scholar
  12. 12.
    Bolden R, Waterson P, Warr P, Clegg C, Wall T (1997) A new taxonomy of modern manufacturing practices. Int J Oper Prod Manage 17(11):1112CrossRefGoogle Scholar
  13. 13.
    Storey J (1994) New wave manufacturing strategies. Chapman, LondonGoogle Scholar
  14. 14.
    Nichols W, Jones O (1994) The introduction of CIM: a strategic analysis. Int J Oper Prod Manage 14(8):4–16CrossRefGoogle Scholar
  15. 15.
    Chung SH, Snyder CA (2000) ERP adoption: a technological evolution approach. Int J Agil Manage Syst 2(1):24–32CrossRefGoogle Scholar
  16. 16.
    Sabrià F (2004) La Cadena de suministro: un estudio de IESE. ICG Marge, BarcelonaGoogle Scholar
  17. 17.
    Christopher M, Towill DR (2000) Supply chain migration from lean and functional to agile and customised. Supply Chain Manag 5(4):206–213CrossRefGoogle Scholar
  18. 18.
    Yusuf YY, Little D (1998) An empirical investigation of enterprise-wide integration of MRPII. Int J Oper Prod Manage 18(1):66–86CrossRefGoogle Scholar
  19. 19.
    Attaran M (1997) CIM: getting set for implementation. Ind Manage Data Syst 97(1):3–9CrossRefGoogle Scholar
  20. 20.
    Moller C (2005) ERP II: a conceptual framework for next-generation enterprise systems? J Enterp Inf Manage 18(4):483–497Google Scholar
  21. 21.
    Christopher M (2000) The agile supply chain competitive in volatile markets. Ind Mark Manage 29(1):37–44CrossRefMathSciNetGoogle Scholar
  22. 22.
    Botta-Genoulaz V, Millet P (2005) A classification for better use of ERP systems. Comput Ind 56(6):573–587CrossRefGoogle Scholar
  23. 23.
    Chand D, Hachey G, Hunton J, Owhoso V, Vasudevan S (2005) A balanced scorecard based framework for assessing the strategic impacts of ERP systems. Comput Ind 56(6):558–572CrossRefGoogle Scholar
  24. 24.
    Lay G, Maloca S (2004) Dokumentation der umfrage innovationen in der produktion 2003. Fraunhofer ISI, KarlsruheGoogle Scholar
  25. 25.
    Spanos YE, Voudouris I (2009) Antecedents and trajectories of AMT adoption: the case of Greek manufacturing SMEs. Res Policy 38:144–155CrossRefGoogle Scholar
  26. 26.
    Hofmann C, Orr S (2005) Advanced manufacturing technology adoption—the German experience. Technovation 25:711–724CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2009

Authors and Affiliations

  • Josep Llach Pagès
    • 1
    Email author
  • Andrea Bikfalvi
    • 1
  • Rodolfo de Castro Vila
    • 1
  1. 1.Department of Business Administration and Product DesignUniversity of GironaGironaSpain

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