Skip to main content
SpringerLink
Log in

The Strategic Role of Business Intelligence Systems: An Assessment Model

  • Conference paper
  • First Online:
Management of the Interconnected World

Abstract

This work includes an analysis of the most significant studies in the academic literature on the evaluation and measurement of Decision Support Systems and Business Intelligence Systems (BIS).

The evaluation model of BIS success proposed by Clark et al. has been studied in depth and a new model has been proposed.

The conclusions will describe the most meaningful factors that influence the new proposed evaluation model of BIS success. Particularly important are commitment to the system development and users’ training, while technology does not seem to be one of most critical elements.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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

  1. Clark DT, Jones MC, Armstrong CP (2007) The dynamic structure of management support system: theory development, research focus, and direction. MIS Q 31(3):579–615

    Google Scholar 

  2. Davenport TH, Prusak L (1998) Working knowledge: how organization manage what they know. Harward Business School Press, Boston

    Google Scholar 

  3. Alavi M, Leidner DE (2001) Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q 25(1):107–136

    Article  Google Scholar 

  4. Anderson-Lehman R, Watson HJ, Wixom BH, Hoffer JA (2004) Continental airlines flies high with real-time business intelligence. MIS Q Exec 3(4):163–176

    Google Scholar 

  5. Lee H, Choi B (2003) Knowledge management enablers, processes, and organizational performance: an integrative viewand empirical examination. J Manage Inf Syst 20(1):179–228

    Google Scholar 

  6. Rouibah K, Ould-ali S (2002) Puzzle: a concept and prototype for linking business intelligence to business strategy. J Strateg Inf Syst 11:133–152

    Article  Google Scholar 

  7. Schultze U, Leidner DE (2002) Studying knowledge management in information systems research: discourses and theoretical assumptions. MIS Q 26(3):213–242

    Article  Google Scholar 

  8. Chandler Jr AD (1962) Strategy and structure: chapters in the history of the industrial enterprise. MIT Press, Cambridge

    Google Scholar 

  9. Ansoff HI (1965) Corporate strategy: an analytical approach to business policy for growth and expansion. McGraw Hill, New York

    Google Scholar 

  10. Andrews KR (1971) The concept of corporate strategy. Dow-Jones Irwin, Homewood

    Google Scholar 

  11. Polany M (1966) The tacit dimension. P. Smith, Gloucester

    Google Scholar 

  12. Kogut B, Zander U (1992) Knowledge of the firm, combinative capabilities, and the replication of technology. Org Sci 4:383–397

    Article  Google Scholar 

  13. Arnott D, Pervan G (2005) A critical analysis of decision support systems research. J Inf Technol 20(2):67–87

    Article  Google Scholar 

  14. Belcher LW, Watson HJ (1993) Assessing the value of Conoco’s EIS. MIS Q 9:239–253

    Article  Google Scholar 

  15. Watson HJ (1999) Introduction to the organizational systems and technology track, hicss, Thirty-second Annual Hawaii international conference on system sciences (7): 7701

    Google Scholar 

  16. Watson HJ, Wixom BH, Hoffer JA, Anderson-Lehman R, Reynolds AM (2006) Real-time business intelligence: best practices at continental airlines. Inf Syst Manage 23(1):7–18

    Article  Google Scholar 

  17. Dennis AR, Carte TA, Kelly GG (2003) Breaking the rules: success and failure in groupware-supported business process reengineering. Decision Support Systems 36(1):41–47

    Article  Google Scholar 

  18. Van der Aalst WMP, Berens PJS (2001) Beyond workflow management: product-driven case handling. In Ellis C, Zigurs I (eds) Proceedings of the international ACM SIGGROUP conference on supporting group work 2001, Boulder, pp 42–51

    Google Scholar 

  19. Williams S, Williams N (2004) Capturing ROI through business-centric BI development methods. DM Review

    Google Scholar 

  20. Chen JQ, Lee SM (2003) An exploratory cognitive DSS for strategic decision making. Decis Support Syst 36(2):147–160

    Article  Google Scholar 

  21. Keen PGW (1980b) Decision support systems: translating useful models into usable technologies. Sloan Manage Rev 21(3):33–44

    Google Scholar 

  22. Franz CR, Robey D (1986) Organizational context user involvent & the usefulness of information systems. Decis Sci 17(3):329–356

    Article  Google Scholar 

  23. Housdeshel G, Watson HJ (1987) The management information and decision support (MIDS) System at Lockheed-Georgia. MIS Q 11(1):128–140

    Google Scholar 

  24. Kottermann J, Remus W (1989) A study of the relationship between decision model naturalness and performance. MIS Q 13(2):171–181

    Article  Google Scholar 

  25. Gass SI (1983) Decision-aiding models: validation, assessment, and related issues for policy analysis. Oper Res 31(4):603–631

    Article  Google Scholar 

  26. Simon HA, Newell A (1971) Human problem solving: the state of the theory in 1970. Am Psychol 26(2):145–159

    Article  Google Scholar 

  27. Donovan JJ, Madnick SE (1976) Virtual machine advantages in security, integrity and decision support systems. IBM Syst J 15(3):270–278

    Article  Google Scholar 

  28. Franz LS, Lee SM, Van Horn JC (1981) An adaptive decision support system for academic resource planning. Decis Sci 12(2):276–293

    Article  Google Scholar 

  29. Gibson CF, Singer CJ, Schnidman AA, Davenport TH (1984) Strategies for making an information system fit your organization. Manage Rev 73:8–14

    Google Scholar 

  30. Kendall KE, Kendall JE (1984) Structured observation of the decision-making environment: a reliability and validity assessment. Decis Sci 15:107–118

    Article  Google Scholar 

  31. Inmon B (2005) World-class business intelligence. DM Review, pp 60–61

    Google Scholar 

  32. Sprague Jr RH, Carlson ED (1982) Building effective decision support systems. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  33. Hult GTM (2003) An integration of thoughts on knowledge management. Decis Sci 34(2):189–195

    Article  Google Scholar 

  34. Malhotra A, Gosain S, El Sawy OA (2005) Absorptive capacity config.tions in supply chains: gearing for partner-enabled market knowledge creation. MIS Q 29(1):145–187

    Google Scholar 

  35. Zahra SA, George G (2002) Absorptive capacity: a review, reconceptualization, and extension. Acad Manage Rev 27(2):185–203

    Article  Google Scholar 

  36. Yin R (1994) Case study research: design and methods, 2nd edn. Sage Publishing, Beverly Hills

    Google Scholar 

  37. Eisenhardt KM (1989)Building theories from case study research. Acad Manage Rev 14(4):532–550

    Article  Google Scholar 

  38. Voss C, Tsikriktsis N, Frohlich M (2002) Case research in operations management. Int J Oper Prod Manage 22(2):195–219

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Verona, Verona, Italy

    Cecilia Rossignoli, Antonella Ferrari, Lapo Mola & Elisa Bertoni

Authors
  1. Cecilia Rossignoli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Antonella Ferrari
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lapo Mola
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Elisa Bertoni
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cecilia Rossignoli .

Editor information

Editors and Affiliations

  1. Sistemi Informativi (CeRSI), Centro di Ricerca sui, Via G. Alberoni 7, Roma, 00198, Italy

    Alessandro D'Atri

  2. FacoltĂ  di Economia, Dipto. Scienze dell'Economia e della, UniversitĂ  Cattolica del Sacro Cuore, Via Necchi 7, Milano, 20123, Italy

    Marco De Marco

  3. Sistemi Informativi (CeRSI), Centro di Ricerca sui, Via G. Alberoni 7, Roma, 00198, Italy

    Alessio Maria Braccini

  4. Dipto. Economia, UniversitĂ  di Cagliari, Viale S. Ignazio 74, Cagliari, 09123, Italy

    Francesca Cabiddu

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rossignoli, C., Ferrari, A., Mola, L., Bertoni, E. (2010). The Strategic Role of Business Intelligence Systems: An Assessment Model. In: D'Atri, A., De Marco, M., Braccini, A., Cabiddu, F. (eds) Management of the Interconnected World. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-2404-9_33

Download citation

Publish with us

Policies and ethics

Search

Navigation