Current Changes in Executive Work and How to Handle Them by Redesigning Executive Information Systems

Chapter
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 3)

Abstract

Executives in Europe have significantly expanded their role in operations—in parallel to their strategic leadership. At the same time, they need to make decisions faster than in the past. Redesigned executive information systems (EIS) should support top managers in their new roles. This article examines how corporate management is evolving, and what issues a redesigned EIS should address. Embracing a “new normal” environment, we arrive at four prescriptive statements for an EIS architecture that is more business-driven than the state of the art. This architecture differs by applying a business-to-IT approach, designed in four layers: strategy, organization, alignment, and IT support. With such a structure, it is possible to “drill-through” to information needed to executives’ more operational decisions. Furthermore the proposed architecture balances key performance indicators from five information clusters for accelerating executives’ decision making: financial accounting, management accounting, compliance management, program management, and cash flow and liquidity management.

Keywords

Corporate management  Information systems analysis and design Functional requirements  Next-generation executive information systems 

References

  1. 1.
    Anthony, R.N., Govindarajan, V.: Management Control Systems. McGraw-Hill/Irwin, New York (2007)Google Scholar
  2. 2.
    Walters, B.A., Jiang, J.J., Klein, G.: Strategic information and strategic decision making: the EIS/CEO interface in smaller manufacturing companies. Inf. Manage. 40, 487–495 (2003)CrossRefGoogle Scholar
  3. 3.
    Nord, J.H., Nord, G.D.: Executive information systems: A study and comparative analysis. Inf. Manage 29, 95–106 (1995)CrossRefGoogle Scholar
  4. 4.
    Ackoff, R.L.: Management misinformation systems. Manage. Sci. 14, 147–156 (1967)CrossRefGoogle Scholar
  5. 5.
    Mintzberg, H.: The myths of MIS. Calif. Manage. Rev. 15, 92–97 (1972)CrossRefGoogle Scholar
  6. 6.
    Rockart, J.F., Treacy, M.E.: The CEO goes on-line. In: Nelson, R.R. (ed.) End-User Computing: Concepts, Issues, and Applications, pp. 55–64. Wiley, New York (1989)Google Scholar
  7. 7.
    Elam, J.J., Leidner, D.G.: EIS adoption, use, impact: The executive perspective. Decis. Support Syst. 14, 89–103 (1995)CrossRefGoogle Scholar
  8. 8.
    Wixom, B.H., Watson, H.J.: The BI-based organization. Int. J. Bus. Intell. Res. 1, 13–28 (2010)CrossRefGoogle Scholar
  9. 9.
    Eckerson, W.W.: Transforming Finance—How CFOs Use Business Intelligence to Turn Finance from Record Keepers to Strategic Advisors. TDWI Press, Renton (2010)Google Scholar
  10. 10.
    Hopwood, A.G.: The economic crisis and accounting: Implications for the research community. Acc. Organ. Soc. 34, 797–802 (2009)CrossRefGoogle Scholar
  11. 11.
    Vodanovich, S., Sundaram, S., Myers, M.: Digital natives and ubiquitous information systems. Inf. Syst. Res. 21, 711–723 (2010)CrossRefGoogle Scholar
  12. 12.
    Marchand, D.A., Kettinger, W.J.: Information orientation (IO): How effective information use drives business performance. Sitemas 1, 75–84 (2011)Google Scholar
  13. 13.
    Collis, D.J., Montgomery, C.A.: Corporate Strategy. Irwin McGraw-Hill, Boston (1998)Google Scholar
  14. 14.
    Kallunki, J.P., Laitinen, E.K., Silvola, H.: Impact of enterprise resource planning systems on management control systems and firm performance. Int. J. Account. Inf. Syst. 12, 20–39 (2011)CrossRefGoogle Scholar
  15. 15.
    Barney, J.: Firm resources and sustained competitive advantage. J. Manage. 17, 99–120 (1991)CrossRefGoogle Scholar
  16. 16.
    Marx, F: Changing requirements of EIS: Implications of the 2008/2009 economic crisis—Results of two empirical surveys. Research paper, University of St.Gallen, St.Gallen (2011)Google Scholar
  17. 17.
    Marx, F., Lahrmann, G., Mayer, J.H., Winter, R.: Aligning management controls and information systems: Contingent organizational design of business intelligence application architectures. Int. J. Organisational Des. Eng. 1, 209–228 (2011)Google Scholar
  18. 18.
    Horngren, C.T., Foster, G., Datar, S.M.: Cost Accounting: A Managerial Emphasis. Pren-tice Hall, Upper Saddle River (1999)Google Scholar
  19. 19.
    Kaplan, R.S.: The evolution of management accounting. Acc. Rev. 59, 390–418 (1984)Google Scholar
  20. 20.
    Simmonds, K.: Strategic management accounting. Manage. Acc. 59, 26–29 (1981)Google Scholar
  21. 21.
    Roslender, R., Hart, S.J.: In search of strategic management accounting: Theoretical and field study perspectives. Manage. Acc. Res. 14, 255–279 (2003)CrossRefGoogle Scholar
  22. 22.
    Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press, Boston (1997)Google Scholar
  23. 23.
    Grant, R.M.: Corporate strategy: Managing scope and strategy content. In: Pettigrew, A.M., Thomas, H., Whittington, R. (eds.) Handbook of Strategy and Management, pp. 72–97. Sage Publications Ltd, London (2001)Google Scholar
  24. 24.
    Rappaport, A.: Creating Shareholder Value. The Free Press, New York (1986)Google Scholar
  25. 25.
    Sherman, W.S., Chamber, V.: SOX as safeguard and signal: The impact of the Sarbanes-Oxley Act of 2002 on US corporations’ choice to list abroad. Multinational Bus. Rev. 17, 163–179 (2009)CrossRefGoogle Scholar
  26. 26.
    Volonino, L., Gessner, G.H., Kermis, G.F.: Holistic compliance with Sarbanes-Oxley. Comm. Assoc. Inf. Syst. 14, 219–233 (2004)Google Scholar
  27. 27.
    Woods, M.: Linking risk management to strategic control: A case study of Tesco plc. Int. J. Risk Assess. Manage. 7, 1074–1088 (2007)CrossRefGoogle Scholar
  28. 28.
    Committee of sponsoring organisations of the treadway commission (CoSO), An enterprise risk management (2004)Google Scholar
  29. 29.
    Mayer, J.H.: Organisatorische Veränderungen durch die aktuelle Wirtschaftskrise – Bestandsaufnahme und Implikationen für Unternehmenssteuerungssysteme. 25. Deutscher Controlling Congress. Reichmann, T. (Hrsg.), Neue Anforderungen an das Management & Controlling, pp. 209-228. Dortmund (2010)Google Scholar
  30. 30.
    Granlund, M.T., Malmi, T.: Moderate impact of ERPS on management accounting: A lag or permanent outcome? Manage. Account. Res. 13, 299–321 (2002)CrossRefGoogle Scholar
  31. 31.
    Eckerson, W.W.: Performance Dashboards—Measuring, Monitoring, and Managing Your Business. Wiley, Hoboken (2006)Google Scholar
  32. 32.
    Watson, H.J.: What happened to executive information systems? Bus. Intell. J. 16, 4–6 (2011)Google Scholar
  33. 33.
    Papageorgiou, E., De Bryn, H.: Creating strategic value through executive information systems: An exploratory study. Electron. J. Inf. Syst. Eval. 13, 57–76 (2010)Google Scholar
  34. 34.
    Li, N., Lu, J., Zhang, G.: Business intelligence. In: Li, N., Lu, J., Zhang, G (eds.) Cognition-Driven Decision Support for Business Intelligence, pp. 19–29. Springer, Berlin (2009)Google Scholar
  35. 35.
    Mayer, J.H., Winter, R., Mohr, T.: Situational management support systems—Accommo-dating the growing range of working styles, use cases, and access modes. Bus. Inf. Syst. Eng. 4 (2012)Google Scholar
  36. 36.
    Marx, F., Mayer, J.H., Winter, R.: Six principles for redesigning executive information systems—Findings of a survey and evaluation of a prototype. ACM Trans. Manage. Inf. Syst. 2(26), 1–19 (2011)Google Scholar
  37. 37.
    Mayer, J.H., Winter, R., Mohr, T.: Utilizing user-group characteristics to improve acceptance of management support systems—State of the Art and six design guidelines. In: Jain, H., Sinha, A.P., Vitharana, P. (eds.) Proceedings of the 6th International Conference on Design Science Research in Information Systems and Technology (DESRIST), pp. 291–305. Milwaukee (2011)Google Scholar
  38. 38.
    Poon, P., Wagner, C.: Critical success factors revisited: Success and failure cases of information systems for senior executives. Decis. Support Syst. 30, 393–418 (2001)CrossRefGoogle Scholar
  39. 39.
    Delone, W.H., McClean, E.R.: The DeLone and McLean model of information systems success—A ten-year update. J. Manage. Inf. Syst. 19, 9–30 (2003)Google Scholar
  40. 40.
    Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: Toward a unified view. MIS Q. 27, 425–478 (2003)Google Scholar
  41. 41.
    Urbach, N., Smolnik, S., Riempp, G.: The state of research on information systems success—A review of existing multidimensional approaches. Bus. Inf. Syst. Eng. 1, 315–325 (2009)CrossRefGoogle Scholar
  42. 42.
    Warmouth, D.T., Yen, D.: A detailed analysis of executive information systems. Int. J. Inf. Manage. 12, 192–208 (1992)CrossRefGoogle Scholar
  43. 43.
    IEEE: Recommended practice for architectural description of software-intensive systems. IEEE Computer Society, New York (2000)Google Scholar
  44. 44.
    ISO/IEC: Recommended practice for architectural description of software-intensive systems. International Organization for Standardization/International Electrotechnical Commission—Systems and software engineering, Geneva (2007)Google Scholar
  45. 45.
    Lyytinen, K.: Different perspectives on information systems: Problems and solutions. ACM Comput. Surv. 19, 5–46 (1987)CrossRefGoogle Scholar
  46. 46.
    Schekkerman, J.: How to Survive in the Jungle of Enterprise Architecture Frameworks: Creating or Choosing an Enterprise Architecture Framework. 2nd ed, Trafford, Victoria (2006)Google Scholar
  47. 47.
    Scheer, A.W.: ARIS—Modellierungsmethoden, Metamodelle, Anwendungen, 4th edn. Springer, Berlin (2001)Google Scholar
  48. 48.
    Zachman, J.A.: A framework for information systems architecture. IBM Syst. J. 26, 277–293 (1987)CrossRefGoogle Scholar
  49. 49.
    The Open Group: The Open Group Architecture Framework TOGAF—2009 Edition. Van Haren, Zaltbommel (2009)Google Scholar
  50. 50.
    Aier, S., Riege, C., Winter, R.: Unternehmensarchitektur—Literaturüberblick und Stand der Praxis. Wirtschaftsinformatik 50, 292–304 (2008)CrossRefGoogle Scholar
  51. 51.
    Mayer, J.H.: Führungsinformationssysteme für die internationale Management-Holding. Gabler, Wiesbaden (1999)CrossRefGoogle Scholar
  52. 52.
    Dubs, R., Euler, D., Rüegg-Stürm, J., Wyss, C.E.: Einführung in die Managementlehre. Haupt, Bern (2004)Google Scholar
  53. 53.
    Markus, M.L., Robey, D.: Information technology and organizational change: Causal structure in theory and research. Manage. Sci. 34, 583–598 (1998)CrossRefGoogle Scholar
  54. 54.
    Rainer, R.K., Watson, H.J.: The keys to executive information system success. J. Manage. Inf. Syst. 12, 83–98 (1995)Google Scholar
  55. 55.
    Wilkinson, M.: Designing an “adaptive” enterprise architecture. BT Technol. J. 24, 81–92 (2006)CrossRefGoogle Scholar
  56. 56.
    Aier, S., Kurpjuweit, S., Saat, J., Winter, R.: Enterprise architecture design as an engineering discipline. AIS Trans. Enterp. Syst. 10, 36–43 (2009)Google Scholar
  57. 57.
    Ganczarski, W.: Abstimmung von Organisations- und Softwarestrukturen—Entwicklung einer Methode zur Verteilung von fachlichen und technischen Entscheidungsrechten am Beispiel des Konzernrechnungswesens. Dissertation Universität St.Gallen, St. Gallen (2009)Google Scholar
  58. 58.
    Walia, G., Carver, J.: A systematic literature review to identify a classify software requirement errors. Inf. Softw. Technol. 1087–1109 (2009)Google Scholar
  59. 59.
    Rockart, J.F.: Chief executives define their own data needs. Harvard Bus. Rev. 57, 81–93 (1979)Google Scholar
  60. 60.
    Kelly, J.N.: Executive information systems. Patricia Seybolds Off. Comput. Rep. 13, 77–83 (1998)Google Scholar
  61. 61.
    Seeley, M., Targett, D.: Patterns of senior executives’ personal use of computers. Inf. Manage. 35, 315–330 (1999)CrossRefGoogle Scholar
  62. 62.
    Walstrom, K.A., Wilson, R.L.: An examination of information systems (EIS) users. Inf. Manage. 32, 75–83 (1997)CrossRefGoogle Scholar
  63. 63.
    Eckerson, W.: Visual reporting and Analysis. TDWI Press (2011)Google Scholar
  64. 64.
    Mayer, J.H., Marx, F.: Systematic development of business-driven requirements—using next-generation EIS design as an example. In Winter, R., Zhao, J., Aier, S. (eds.) Proceedings of fifth Design Science Research in Information Systems and Technology (DESRIST), pp. 506–521. St. Gallen, Switzerland (2010)Google Scholar
  65. 65.
    Bergeron, F., Raymond, L., Rivard, S., Gara., M.F.: Determinants of EIS use: Testing a behavioral model. Decision Support Systems. 14, 131–146 (1995)Google Scholar
  66. 66.
    Houdeshel, G., Watson, H.J.: The Management Information and Decision Support (MIDS) System at Lockheed-Georgia. MIS Quart. 11, 127–140 (1987)Google Scholar
  67. 67.
    Cano Giner, J.L., Fernandez, V., Diaz Boladeras, M.: Framework for the analysis of executive information systems based on the perceived usefulness and the perceived ease of use. Intangible Asset. 5, 370–286 (2009)Google Scholar
  68. 68.
    Gebauer, J., Shaw, M.J., Gribbins, M.L.: Task-Technology fit for Mobile Information Systems. J. Inf. Technol. 25, 259–272 (2010)Google Scholar
  69. 69.
    Jiang, J.J., Muhanna, W.A., Klein, G.: User Resistance and strategies for promoting acceptance across system types. Inf. Manag. 37, 25–36 (2000)Google Scholar
  70. 70.
    Mayer, JH., Krönke, B.: Business/IT alignment: The executive perspective. In: Abramowicz, W., Tolksdorf, R., Krzysztof., W (eds.): Proceedings of Business Information Systems Workshops–Business and IT Alignment (BIS–BITA), pp. 131–143 (LNBIP 57), Berlin (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.University of St.Gallen, Institute of Information ManagementSt.GallenSwitzerland

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