Skip to main content

The Implications of Information Technology Infrastructure Capabilities for Business Process Change Success

  • Chapter
Book cover Systems Engineering for Business Process Change

Abstract

Although business performance has long been theoretically hypothesised to be dependent on the level of underlying information technology capability, there is a distinct lack of empirical studies to support this claim. In this chapter we discuss preliminary results of ongoing research into the knock-on effects of computer network support to business process performance indicators. Based on a real-life case study of business process change, we develop simulation models that depict operations at three different levels of abstraction (business processes, information system applications, and computer network support). Experiments with different levels of network utilisation generated by increased business workload provide empirical support to the hypothesis that IT capability can be a critical enabler (but equally a critical disabler as well) of business performance improvements.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Baily, M.N. and Chakrabarti, A. (1988). Innovation and the Productivity Crisis. Brookings Institution, Washington, DC.

    Google Scholar 

  • Bakos, Y. (1998). The emerging role of electronic marketplaces on the Internet. Communications of the ACM, 41(8), 35–42.

    Article  Google Scholar 

  • Brynjolfsson, E. (1993). The Productivity Paradox of Information Technology. Communications of the ACM, 36(12), 67–77.

    Article  Google Scholar 

  • Business Week (1987). Office automation: making it pay off. Business Week, 12,134–146.

    Google Scholar 

  • Curtis, W, Kellner, M.I. and Over, J. (1992). Process modelling. Communications of the ACM, 35(9), 75–90.

    Article  Google Scholar 

  • Davenport, T.H. (1993). Process Innovation: Reengineering Work Through Information Technology, Harvard Business School Press, Boston, MA.

    Google Scholar 

  • Davenport, T.H. and Short, J.E. (1990). The new industrial engineering: information technology and business process redesign. Sloan Management Review, 31(4), 11–27.

    Google Scholar 

  • Earl, M.J. (1994). The new and the old of business process redesign. Journal of Strategic Information Systems, 3(1), 5–22.

    Article  Google Scholar 

  • Farbey, B., Land, F. and Targett, D. (1993). How to Assess your IT Investment: A Study of Methods and Practice, Butterworth-Heinemann, Oxford.

    Google Scholar 

  • Fielder, K.D., Grover, V. and Teng, J.T.C. (1995). An empirical study of information technology enabled business process redesign and corporate competitive strategy. European Journal of Information Systems, 4(1), 17–30.

    Article  Google Scholar 

  • Fuglseth,A.M. and Gronhaug, K. (1997). IT-enabled redesign of complex and dynamic business processes: the case of bank credit evaluation. Omega, 25(1), 93–106.

    Article  Google Scholar 

  • Galliers, R.D. (1993). Towards a flexible information architecture: integrating business strategies, information systems strategies, and business process redesign. Journal of Information Systems, 3(3), 199–213.

    Article  Google Scholar 

  • Giaglis, G.M., Paul, R.J. and O’Keefe, R.M. (1999a). Combining business and network simulation models for IT investment evaluation. In Proceedings of the 32nd Hawaiian International Conference on System Sciences, Hawaii, January. IEEE Computer Society, Los Alamitos, CA.

    Google Scholar 

  • Giaglis, G.M., Paul, R.J. and Hlupic, V. (1999b). Integrating simulation in organizational design studies. International Journal of Information Management, 19(3), 219–236.

    Article  Google Scholar 

  • Giaglis, G.M., Paul, R.J. and Doukidis, G.I. (1999c). Dynamic modeling to assess the business value of electronic commerce. International Journal of Electronic Commerce, 3(3), 35–51.

    Google Scholar 

  • Grover, V., Fielder, K.D. and Teng, J.T.C. (1994). Exploring the success of information technology enabled business process reengineering. IEEE Transactions on Engineering Management, 41(3), 276–284.

    Article  Google Scholar 

  • Hammer, M. and Champy, J. (1993). Reengineering the Corporation: A Manifesto for Business Revolution. Harper Collins, New York.

    Google Scholar 

  • Kalakota, R. and Whinston, A. (1996). Frontiers of Electronic Commerce. Addison-Wesley, Reading, MA.

    Google Scholar 

  • Law, A.M. and Kelton, D.W. (1991). Simulation Modelling and Analysis (2nd edn). McGraw-Hill, New York.

    Google Scholar 

  • MacArthur, P.J., Crosslin, R.L. and Warren, J.R. (1994). A strategy for evaluating alternative information system designs for business process reengineering. International Journal of Information Management, 14(4), 237–251.

    Article  Google Scholar 

  • Meel, J.W. van, Bots, P.W.G. and Sol, H.G. (1994). Towards a research framework for business engineering. IFIP Transactions A: Computer Science and Technology, 54, 581–592.

    Google Scholar 

  • Meel, J.W. van and Sol, H.G. (1996). Business engineering: dynamic modeling instruments for a dynamic world. Simulation and Gaming, 27(4), 440–461.

    Article  Google Scholar 

  • Ould, M.A. (1995). Business Processes: Modelling and Analysis for Re-engineering and Improvement. Wiley, Chichester, UK.

    Google Scholar 

  • Porter, M. (1985). Competitive Advantage: Creating and Sustaining Superior Performance. Free Press, New York.

    Google Scholar 

  • Raymond, L., Pare, G. and Bergeron, F. (1995). Matching information technology and organisational structure: an empirical study with implications for performance. European Journal of Information Systems, 4(1), 3–16.

    Article  Google Scholar 

  • Roach, S.S. (1991). Services under siege: the restructuring imperative. Harvard Business Review, 69(5), 83–91.

    Google Scholar 

  • Sauer, C.H. and MacNair, E.A. (1983). Simulation of Computer Communication Systems. Prentice Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Scott-Morton, M.S. (ed.) (1991). The Corporation of the 1990s: Information Technology and Organisational Transformation. Oxford University Press, New York.

    Google Scholar 

  • Teufel, S. and Teufel, B. (1995). Bridging information technology and business: some modelling aspects. SIGOIS Bulletin, 16(1), 13–17.

    Article  Google Scholar 

  • Willcocks, L. (1992). IT evaluation: managing the catch-22. European Management Journal, 10(2), 220–229.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2000 Springer-Verlag London

About this chapter

Cite this chapter

Eatock, J., Giaglis, G.M., Paul, R.J., Serrano, A. (2000). The Implications of Information Technology Infrastructure Capabilities for Business Process Change Success. In: Henderson, P. (eds) Systems Engineering for Business Process Change. Springer, London. https://doi.org/10.1007/978-1-4471-0457-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0457-5_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1146-7

  • Online ISBN: 978-1-4471-0457-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics