Advertisement

Using Management Objectives to Specify Management Information Systems — A Contribution to MIS Success

  • Jörg Becker
  • Alexander Dreiling
  • Michael Ribbert
Conference paper

Key Words

Management Information Systems Data Warehousing Management Information Requirements Meta Modeling Corporate Planning 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literatur

  1. [Adam96]
    Adam, D.: Planung und Entscheidung. Gabler: 4th edition. Wiesbaden, Germany, 1996.Google Scholar
  2. [Agra+96]
    Agarwal, S. et al.: On the computation of multidimensional aggregates. In: Proceedings of the 22nd International Conference on Very Large Data Bases, San Francisco, CA, 1996, S. 506-521.Google Scholar
  3. [Grah71]
    Allison, G. T.: Essence of Decisions. Little, Brown. Boston, MA, USA, 1971.Google Scholar
  4. [Anso65]
    Ansoff, H. I.: Corporate Strategy. McGraw-Hill. New York, NY, USA, 1965.Google Scholar
  5. [Anso+90]
    Ansoff, H. I. et al.: Implanting strategic management. Prentice-Hall: 2nd edition. London, 1990.Google Scholar
  6. [Barb02]
    Barbuto Jr., J. E.: How is Strategy Formed in Organizations? A Multi-Disciplinary Taxonomy of Strategy-Making Approaches. Journal of Behavioral and Applied Management 3(1), 2002: S. 64–73.Google Scholar
  7. [Barn38]
    Barnard, C. I.: The Functions of the Executive. Harvard University Press. Cambridge, MA, USA, 1938.Google Scholar
  8. [Beck+03]
    Becker, J. et al.: Specifying Information Systems for Business Process Integration — A Management Perspective. Information Systems and eBusiness Management 1(2), 2003.Google Scholar
  9. [Beck+03]
    Becker, J.; Dreiling, A.; Ribbert, M.: Meta-Model-based Approaches to Information Systems Engineering. In: Proceedings of the 2003 Information Resources Management Association Conference, Philadelphia, PA, USA, 2003.Google Scholar
  10. [BeHo98]
    Becker, J.; Holten, R.: Fachkonzeptuelle Spezifikation von Führungsinformationssystemen. Wirtschaftsinformatik 40(6), 1998: S. 483–492 [in German].Google Scholar
  11. [Beck+02]
    Becker, J.; Ribbert, M.; Dreiling, A.: Contribution of Meta Models to Systems Engineering — A CRM Example. In: Proceedings of the Information Systems Foundation: Building the Theoretical Base, Canberra, ACT, Australia, 2002, S. 191-204.Google Scholar
  12. [Birk+93]
    Birkigt, K.; Stadler, M. M.; Funck, H. J.: Corporate Identity: Grundlagen, Funktionen, Fallbeispiele. Verlag Moderne Industrie: 5th edition. Landsberg am Lech, 1993.Google Scholar
  13. [Borg+98]
    Borgman, H. P.: Manager’s information search behaviour using Management Support Systems. Wirtschaftsinformatik 40(6), 1998: S. 527–535.Google Scholar
  14. [CaTo01]
    Cabibbo, L.; Torlone, R.: An Architecture for Data Warehousing Supporting Data Independence and Interoperability. International Journal of Cooperative Information Systems 10(3), 2001: S. 377–397.CrossRefGoogle Scholar
  15. [ChDa97]
    Chaudhuri, S.; Dayal, U.: An overview of data warehousing and olap technology. ACM SIGMOD Record 26(1), 1997: S. 65–74.CrossRefGoogle Scholar
  16. [Codd+93]
    Codd, E. F.; Codd, S. B.; Salley, C. T.: Providing olap (On-Line Analytical Processing) to User Analysts: An IT Mandate. White Paper, E. F. Codd & Associates, 1993.Google Scholar
  17. [Coll96]
    Colliat, G.: OLAP, relational, and multidimensional database systems. ACM SIGMOD Record 25(3), 1996: S. 64–69.CrossRefGoogle Scholar
  18. [Golf.
    98]_Golfarelli, M.; Maio, D.; Rizzi, S.: The Dimensional Fact Model: A Conceptual Model for Data Warehouses. International Journal of Cooperative Information Systems 7(2 & 3), 1998.Google Scholar
  19. [Gran64]
    Granger, C. H.: The Hierarchy of Objectives. Harvard Business Review 42(May–June), 1964: S. 63–74.Google Scholar
  20. [GyLa97]
    Gyssens, M.; Lakshmanan, L. V. S.: A foundation for multi-dimensional databases. In: Proceedings of the International Conference on Very Large Data Bases, San Francisco, CA, 1997, S. 106-115.Google Scholar
  21. [HeVe99]
    Henderson, J. C.; Venkatraman, N.: Strategic Alignment: Leveraging Information Technology for Transforming Organizations. IBM Systems Journal 38(2/3), 1999: S. 472–484.CrossRefGoogle Scholar
  22. [HiKa02]
    Hillbrand, C. A.; Karagiannis, D.: An Approach to Faciliate Complex Planning Issues by Means of Machine Learning Techniques Applied to Cybernetic Cause-and-Effect Models. In: Proceedings of the SCI 2002-6th World Multiconference on Systemics Informatics and Cybernetics, Orlando, FL, USA, 2002.Google Scholar
  23. [Hirs+95]
    Hirschheim, R.; Klein, H. K.; Lyytinen, K.: Information Systems Development and Data Modeling. Cambridge University Press. Cambridge, UK, 1995.CrossRefGoogle Scholar
  24. [HiBr96]
    Hitt, L. M.; Brynjolfsson, E.: Productivity, Business Profitability, and Consumer Surplus: Three Different Measures of Information Technology Value. MIS Quarterly 20(2), 1996: S. 121–142.CrossRefGoogle Scholar
  25. [Holt99]
    Holten, R.: Entwicklung von Führungsinformationssystemen. Ein methodenorientierter Ansatz. Gabler. Wiesbaden, Germany, 1999.Google Scholar
  26. [Holt00]
    Holten, R.: Framework and Method for Information Warehouse Development Processes. In: Proceedings of the Data Warehousing 2000 — Methoden, Anwendungen, Strategien, Heidelberg, Germany, 2000, S. 135-163.Google Scholar
  27. [Holt03]
    Holten, R.: Specification of Management Views in Information Warehouse Projects. Accepted for publication in Information Systems 28, 2003.Google Scholar
  28. [Holt+02]
    Holten, R.; Dreiling, A.; Schmid, B.: Management Report Engineering — A Swiss Re Business Case. In: Proceedings of the Data Warehousing 2002 Conference, 2002.Google Scholar
  29. [Im+01]
    Im, K. S.; Dow, K. E.; Grover, V.: Research Report: A Reexamination of IT Investments and the Market Value of the Firm-An Event Study Methodology. Information Systems Research 12(1), 2001: S. 103–120.CrossRefGoogle Scholar
  30. [Inmo96]
    Inmon, W. H.: Building the Data Warehouse. Wiley: 2nd edition. New York, NY et al, 1996.Google Scholar
  31. [InHa94]
    Inmon, W. H.; Hackathorn, R. D.: Using the Data Warehouse. Wiley. New York, NY et al, 1994.Google Scholar
  32. [Inmo+97]
    Inmon, W. H.; Welch, J. D.; Glassey, K. L.: Managing the Data Warehouse. Wiley. New York, NY et al, 1997.Google Scholar
  33. [Jark+99]
    Jarke, M. et al.: Architecture and Quality in Data Warehouses. An extended Repository Approach. Information Systems 24(3), 1999: S. 229–253.Google Scholar
  34. [Jark+00]
    Jarke, M. et al.: Fundamentals of Data Warehouses. Berlin et al., 2000.Google Scholar
  35. [Jian+01]
    Jiang, J. J.; Klein, G.; Discenza, R.: Information System Success as Impacted by Risks and Development Strategies. IEEE Transactions on Engineering Management 48(1), 2001: S. 46–55.CrossRefGoogle Scholar
  36. [JoVi88]
    Johnston, H. R.; Vitale, M. R.: Creating Competitive Advantages with Interorganizational Information Systems. MIS Quarterly 12(2), 1988: S. 153–165.CrossRefGoogle Scholar
  37. [KaNo92]
    Kaplan, R. S.; Norton, D. P.: The Balanced Score Card. Measures that Drive Business Performance. Harvard Business Review 70(January-February), 1992: S. 71–79.Google Scholar
  38. [KaNo00]
    Kaplan, R. S.; Norton, D. P.: Having Trouble with Your Strategy? Then Map It. Harvard Business Review 78(September-October), 2000: S. 167–176.Google Scholar
  39. [KaNo93]
    Kaplan, R. S.; Norton, D. P.: Putting the Balanced Scorecard to Work. Harvard Business Review 71 (September–October), 1993: S. 134–142.Google Scholar
  40. [Keil95]
    Keil, M.: Pulling the Plug: Software Project Management and the problem of Project Escalation. MIS Quarterly 19(4), 1995: S. 421–447.CrossRefGoogle Scholar
  41. [Keil+00]
    Keil, M.; Mann, J.; Rai, A.: Why Software Projects Escalate: An Empirical Analysis and Test of Four Theoretical Models. MIS Quarterly 24(4), 2000: S. 631–664.CrossRefGoogle Scholar
  42. [Kups79]
    Kupsch, P.: Unternehmensziele. Gustav Fischer-Verlag. Stuttgart, New York, 1979.Google Scholar
  43. [LaKi74]
    Latham, G. P.; Kinne, S. B.: Improving Job Performance through Training in Goal Setting. Journal of Applied Psychology 59, 1974: S. 187–191.CrossRefGoogle Scholar
  44. [LeTr00]
    Lee, J.; Truex, D. P.: Exploring the impact of formal training in ISD methods on the cognitive structure of novice information systems developers. Information Systems Journal 10, 2000: S. 347–367.CrossRefGoogle Scholar
  45. [LiCh01]
    Li, E. Y.; Chen, H.-G.: Output-driven information system planning: a case study. Information & Management 2001(38), 2001: S. 185–199.CrossRefGoogle Scholar
  46. [Meff00]
    Meffert, H.: Marketing. Grundlagen marktorientierter Unternehmensführung. Konzepte — Instrumente — Praxisbeispiele. Gabler. Wiesbaden, Germany, 2000.Google Scholar
  47. [Minz73]
    Mintzberg, H.: Strategy Making in Three Modes. California Management Review 16(2), 1973: S. 44–53.CrossRefGoogle Scholar
  48. [Morr71]
    Morris, C.: Writings on the General Theory of Signs. Mouton. The Hague, the Netherlands, 1971.Google Scholar
  49. [Mukh+95]
    Mukhopadhyay, T.; Kekre, S.; Kalathur, S.: Business Value of Information Technology: A Study of Electronic Data Interchange. MIS Quarterly 19(2), 1995: S. 137–156.CrossRefGoogle Scholar
  50. [Niss+96]
    Nissen, H. W. et al.: Managing Multiple Requirements Perspectives with Metamodels. IEEE Software 13(3), 1996: S. 37–48.CrossRefGoogle Scholar
  51. [Port96]
    Porter, M. E.: What is Strategy? Harvard Business Review 74(November-December), 1996: S. 61–78.Google Scholar
  52. [Rieb79]
    Riebel, P.: Gestaltungsprobleme einer zweckneutralen Grundrechnung. Zeitschrift für betriebswirtschaftliche Forschung 31, 1979: S. 863–893.Google Scholar
  53. [Stan01]
    Standish Group International, I.: Extreme CHAOS. Research report, ordering information available at www.standishgroup.com, 2001.Google Scholar
  54. [Stei69]
    Steiner, G. A.: Top Management Planning. Macmillan: 13th edition. New York, NY, USA, 1969.Google Scholar
  55. [Stra96]
    Strahringer, S.: Metamodellierung als Instrument des Methodenvergleichs. Eine Evaluierung am Beispiel objektorientierter Analysemethoden. Shaker. Herzogenrath, Germany, 1996.Google Scholar
  56. [SuWa01]
    Subramani, M.; Waiden, E.: The Impact of E-Commerce Announcements on the Market Value of Firms. Information Systems Research 12(2), 2001: S. 135–154.CrossRefGoogle Scholar
  57. [Tam98]
    Tarn, K. Y.: The Impact of Information Technology Investments on Firm Performance and Evaluation: Evidence from Newly Industrialized Economies. Information Systems Research 9(1), 1998: S. 85–98.CrossRefGoogle Scholar
  58. [ToBe99]
    Todd, P.; Benbasat, I.: Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection. Information Systems Research 10(4), 1999: S. 356–374.CrossRefGoogle Scholar
  59. [Vass00]
    Vassiliadis, P.: Gulliver in the land of data warehousing: practical experiences and observations of a researcher. In: Proceedings of the International Workshop on Design and Management of Data Warehouses (DMDW2000), Stockholm, Sweden, 2000, S. 12(1)-12(16).Google Scholar
  60. [VaSe99]
    Vassiliadis, P.; Sellis, T.: A Survey of Logical Models for OLAP Databases. Sigmod Record 28(4), 1999: S. 64–69.CrossRefGoogle Scholar
  61. [Venk94]
    Venkatraman, N.: IT-Enabled Business Transformation: From Automation to Business Scope Redefinition. Sloan Management Review, 1994: S. 73-87.Google Scholar
  62. [Wido95]
    Widom, J.: Research problems in data warehousing. In: Proceedings of the International Conference on Information and Knowledge Management, New York, NY, 1995.Google Scholar
  63. [WiWa01]
    Wixom, B. H.; Watson, H. J.: An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly 25(1), 2001: S. 17–41.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Jörg Becker
    • 1
  • Alexander Dreiling
    • 1
  • Michael Ribbert
    • 1
  1. 1.Westfälische Wilhelms-UniversitätDeutschland

Personalised recommendations