Skip to main content

Systematic Development of Business-Driven Requirements – Using Next-Generation EIS Design as an Example

  • Conference paper
Global Perspectives on Design Science Research (DESRIST 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6105))

Abstract

Despite many improvements to IT support for executives, they still complain that executive information systems (EIS) bear little relevance to their management task and fail even more to accommodate their working style. This indicates that business issues should more strongly drive requirements for next-generation EIS. The article contributes to such an EIS design by systematically developing requirements criteria that are more business driven than the state-of-the-art. To do so, requirements lists of EIS, structural models of user satisfaction and technology acceptance are evaluated with criteria derived from the requirements engineering discipline. The findings show a dual gap: as the rigor of the models increases, they become less relevant for practice. In comparison, the requirements lists demonstrate relevance, but do not evidence strong rigor. To bridge this gap, this article applies the principle of economic efficiency to balance scientific rigor with relevance for practice. A case demonstrates a first implementation and helps to evaluate the results of this article by using the same criteria as for the state-of-the-art reflection. The findings should lead to better next-generation EIS design and should also be applicable to IS in general.

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 89.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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

  1. Pijpers, A.G., Bemelmanns, T.M., Heemstra, F., van Montfort, K.A.: Senior Executive use of information technology. Information and Software Technology 43, 959–971 (2001)

    Article  Google Scholar 

  2. Watson, H.J., Wixom, B.H.: The Current State of Business Intelligence. Computer 40, 96–99 (2007)

    Article  Google Scholar 

  3. Kelly, J.N.: Executive Information Systems. Patricia Seybold’s Office Computing Report 11, 77–83 (1988)

    Google Scholar 

  4. Pappas, K.: Executive Information Systems Help Senior Exes Manage More Effectively. PC Week 16, 16 (1988)

    Google Scholar 

  5. Nord, J.H., Nord, G.D.N.: Executive Information Systems: A Study and Comparative Analysis. Information & Management 29, 95–106 (1995)

    Article  Google Scholar 

  6. Young, D., Watson, H.J.: Determinates of EIS acceptance. Information & Management 29, 153–164 (1995)

    Article  Google Scholar 

  7. Rainer, R.K., Watson Hugh, J.: What does it take for succesful executive information systems? Decision Support Systems 14, 147–156 (1995)

    Article  Google Scholar 

  8. Mayer, J.H., Winter, R.: Emerging from the economic crisis with a clearer view – next-generation executive information systems. University of St. Gallen, St. Gallen (2009)

    Google Scholar 

  9. Walters, B.A., Jiang, J.J., Klein, G.: Strategic information and strategic decision making: the EIS/CEO interface in smaller manufacturing companies. Information & Management 40, 487–495 (2003)

    Article  Google Scholar 

  10. Clark Jr., T.D., Jones, M.C., Armstrong Curtis, P.: The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction. MIS Quarterly 31, 579–615 (2007)

    Google Scholar 

  11. Brousseau, É., Glachant, J.-M.: New Institutional Economics. Cambridge University Press, Cambridge (2008)

    Google Scholar 

  12. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75–105 (2004)

    Google Scholar 

  13. March, S.T., Smith, G.F.: Design and Natural Science Research on Information Technology. Decision Support Systems 15, 251–266 (1995)

    Article  Google Scholar 

  14. Urbach, N., Smolnik, S., Riempp, G.: The State of Research on Information Systems Success - A Review of Existing Multidimensional Approaches. Business & Information Systems Engineering 4, 315–325 (2009)

    Article  Google Scholar 

  15. Peffers, K., Tuunanen, T., Gengler, C.E., Rossi, M., Hui, W., Virtanen, V., Bragge, J.: The Design Science Research Process: A Model for Producing and Presenting Information Systems Research. In: 1st International Conference on Design Science in Information Systems and Technology, Claremont, CA, pp. 83–106 (2006)

    Google Scholar 

  16. IEEE: IEEE Recommended practice for software requirements specifications. Institute of Electrical & Electronics Engineers, New York (1998)

    Google Scholar 

  17. Rupp, C.: Requirements Engineering und Management: Professionelle, iterative Anforderungsanalyse für die Praxis, vol. 4. Hanser, München (2007)

    Google Scholar 

  18. Sommerville, I.: Software Engineering. Addison-Wesley, Harlow (2008)

    Google Scholar 

  19. Standish Group: Standish Report, http://www.standishgroup.com (accessed 05.01.2010)

  20. Wixom, B.H., Todd, P.A.: A Theoretical Integration of User Satisfaction and Technology Acceptance. Information Systems Research 16, 85–102 (2005)

    Article  Google Scholar 

  21. Poon, P., Wagner, C.: Critical success factors revisited: success and failure cases of information systems for senior executives. Decision Support Systems 30, 393–418 (2001)

    Article  Google Scholar 

  22. Vandenbosch, B., Huff, S.L.: Searching and Scanning: How Executives Obtain Information from Executive Information Systems. MIS Quarterly 21, 81–107 (1997)

    Article  Google Scholar 

  23. Jiang, J.J., Muhanna, W.A., Klein, G.: User Resistance and strategies for promoting acceptance across system types. Information & Management 37, 25–36 (2000)

    Article  Google Scholar 

  24. Stein, A.: Re-engineering the executive: The 4th generation of EIS. Information & Management 29, 55–62 (1995)

    Article  Google Scholar 

  25. Hung, S.-Y.: Expert versus novice use of the executive support systems: an empirical study. Information & Management 40, 177–189 (2003)

    Article  MathSciNet  Google Scholar 

  26. DeLone, W.H., McLean, E.R.: Information Systems Success - The Quest for the Dependent Variable. Information System Research 3, 60–95 (1992)

    Article  Google Scholar 

  27. DeLone, W.H., McLean, E.R.: The DeLone and McLean Model of Information Systems Success - A Ten-Year Update. JMIS 19, 9–30 (2003)

    Google Scholar 

  28. Seddon, P.B.: A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research 8, 240–253 (1997)

    Article  Google Scholar 

  29. Ballantine, J., Bonner, M., Levy, M., Martin, A., Munro, I.P. P.: The 3-D model of information systems success: the search. IRMJ 9, 5–14 (1996)

    Google Scholar 

  30. Seddon, P.B., Kiew, M.-Y.: A Partial Test and Development of Delone and Mclean’s Model of IS Success. Australian Journal of Information Systems 4, 90–109 (1994)

    Google Scholar 

  31. Roldán, J.L., Leal, A.: A validation test of an adaptation of the DeLone and McLean’s model in the Spanish EIS field. In: Cano, J.J. (ed.) Critical reflections on information systems: a systemic approach, pp. 66–84. IGI Publishing, Hershey (2003)

    Google Scholar 

  32. Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quartely 13, 318–340 (1989)

    Google Scholar 

  33. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User Acceptance of Information Technology: Toward A Unified View. MIS Quarterly 27, 425–478 (2003)

    Google Scholar 

  34. Lee, Y., Kozar, K.A., Larsen, K.R.T.: The Technology Acceptance Model: Past, Present, and Future. Communications of AIS, 752–780 (2003)

    Google Scholar 

  35. Venkatesh, V., Davis, F.D.: A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science 46, 186–204 (2000)

    Article  Google Scholar 

  36. Venkatesh, V., Bala, H.: Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences 39, 273–315 (2008)

    Article  Google Scholar 

  37. Taylor, S., Todd, P.: Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research 6, 144–176 (1995)

    Article  Google Scholar 

  38. Popper, K.R.: Logik der Forschung. Mohr, Tübingen (1982)

    Google Scholar 

  39. Samuelson, P.A.: Foundations of Economic Analysis, Enlarged Edition. Harvard University Press, Harvard (1983)

    Google Scholar 

  40. Berthel, J.: Betriebliche Informationssysteme. Schaeffer-Poeschel, Stuttgart (1975)

    Google Scholar 

  41. Matek, W., Muhs, D., Wittel, H.: Maschinenelemente - Normung - Berechnung - Gestaltung. Vieweg, Braunschweig (1987)

    Google Scholar 

  42. Kirsch, W., Bamberger, I., Gabele, E.: Betriebswirtschaftliche Logistik. Systeme, Entscheidungen, Methoden. Gabler, Wiesbaden (1973)

    Google Scholar 

  43. Marx, F., Mayer, J.H.: Report Logic: A User-oriented Reference Model for Corporate Management Systems. University of St. Gallen, St. Gallen (2009)

    Google Scholar 

  44. Krcmar, H.: Informationsmanagement. Springer, Berlin (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mayer, J.H., Marx, F. (2010). Systematic Development of Business-Driven Requirements – Using Next-Generation EIS Design as an Example. In: Winter, R., Zhao, J.L., Aier, S. (eds) Global Perspectives on Design Science Research. DESRIST 2010. Lecture Notes in Computer Science, vol 6105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13335-0_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13335-0_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13334-3

  • Online ISBN: 978-3-642-13335-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics