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Utilizing User-Group Characteristics to Improve Acceptance of Management Support Systems— State of the Art and Six Design Guidelines

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Book cover Service-Oriented Perspectives in Design Science Research (DESRIST 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6629))

Abstract

In information systems (IS) design, understanding users and their preferences for interacting with IT is key. Such awareness is particularly important in the field of management support systems (MSS). We conduct a literature review on how user-group characteristics can be incorporated into MSS design and propose six design guidelines to enhance their adaptation capabilities. Three of these guidelines aim at better meeting users’ functional preferences: incorporate more subjective information needs in MSS design, expand the scope of functional MSS principles beyond the user interface, and provide a comprehensive model of MSS functions for the growing number of expert users. Strengthen the constructional MSS perspective should make the design more concrete for practice. The fifth finding is to understand the characteristics of MSS usage by considering MSS use cases and access modes in addition to users’ working style. Last but not least, MSS research should place more emphasis on principles for situational artefact design.

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References

  1. 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 

  2. Arnott, D., Pervan, G.: Eight Key Issues for the Decision Support Systems Discipline. Decision Support Systems 44, 657–672 (2008)

    Article  Google Scholar 

  3. Power, D.J.: Decision Support Systems: A Historical Overview. In: Burstein, F., Holsapple, C.W. (eds.) Handbook on Decision Support Systems 1: Basic Themes, pp. 121–140. Springer, Berlin (2008)

    Chapter  Google Scholar 

  4. Scott Morton, M.S.: Computer-Driven Visual Display Devices - Their impact on the Mana-gement Decision-Making Process. Ph. D. dissertation, Harvard Business School (1967)

    Google Scholar 

  5. Bucher, T., Klesse, M., Kurpjuweit, S., Winter, R.: Situational Method Engineering - On the Differentiation of “Context” and “Project Type”. In: Situational Method Engineering - Fundamentals and Experiences, pp. 33–48. Geneva Springer, Berlin (2007)

    Chapter  Google Scholar 

  6. Becker, J., Delfmann, P., Knackstedt, R.: Adaptive Reference Modeling: Integrating Configurative and Generic Adaptation Techniques for Information Models. In: Becker, J., Delfmann, P. (eds.) Reference Modeling, pp. 27–58. Physica, Heidelberg (2007)

    Chapter  Google Scholar 

  7. Gregor, S., Jones, D.: The Anatomy of a Design Theory. Journal of the Association for Information Systems 8, 312–335 (2007)

    Google Scholar 

  8. IEEE: IEEE Standard Glossary of Software Engineering Terminology. IEEE Computer Society, New York (1990)

    Google Scholar 

  9. Winter, R.: Problem Analysis for Situational Artefact Construction in Information Systems. In: A Tribute to Marco de Marco (2010)

    Google Scholar 

  10. Sommerville, I.: Software Engineering. Pearson, München (2010)

    MATH  Google Scholar 

  11. Pettey, C., Stevens, H.: Gartner EXP Worldwide Survey of Nearly 1,600 CIOs Shows IT Budgets in 2010 to be at 2005 Levels, http://www.gartner.com/it/page.jsp?id=1283413 (accessed April 16, 2010)

  12. Wixom, B.H., Watson, H.J.: The BI–Based Organization. International Journal of Business Intelligence Research 1, 13–28 (2010)

    Article  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. 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, pp. 83–106 (2006)

    Google Scholar 

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

    Google Scholar 

  16. vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Recon-structing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. In: 17th European Conference on Information Systems, Verona, pp. 2206–2217 (2009)

    Google Scholar 

  17. Webster, J., Watson, R.T.: Analyzing the Past to prepare for the Future: Writing a Literature Review. MIS Quarterly 26, 13–23 (2002)

    Google Scholar 

  18. Zmud, R.W.: Individual Differences and MIS Success: A Review of the Empirical Literature. Management Science 25, 966–977 (1979)

    Article  Google Scholar 

  19. Huber, G.P.: Cognitive Style as a Basis for MIS and DSS design: Much Ado about Nothing? Management Science 29, 567–579 (1983)

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    Article  Google Scholar 

  22. Pijpers, G.G.M., Bemelmans, T.M.A., Heemstra, F.J., van Montfort, K.A.G.M.: Senior Executives’ Use of Information Technology. Information and Software Technology 43, 959–971 (2001)

    Article  Google Scholar 

  23. Laplante, P.A.: Requirements Engineering for Software and Systems. CRC Press, Boca Raton (2009)

    Google Scholar 

  24. IFPUG: Function Point Counting Practices Manual - Release 4.3.1. International Function Point User Group (IFPUG), Princetion Junction (2010)

    Google Scholar 

  25. Robertson, S., Robertson, J.: Mastering Requirements Engineering. Addison-Wesley, Boston (2006)

    Google Scholar 

  26. Paech, B., Kerkow, D.: Non-Functional Requirements Engineering - Quality is Essential. In: Requirements Engineering: Foundation for Software Quality, Riga REFSQ, Essen, pp. 27–40 (2004)

    Google Scholar 

  27. Hoogervorst, J.A.P.: Enterprise Governance and Enterprise Engineering. Springer, Berlin (2009)

    Book  Google Scholar 

  28. Dietz, J.L.G.: Architecture. Building Strategy into Design. Academic Service, The Hague (2007)

    Google Scholar 

  29. IEEE: IEEE Recommended Practice for Architectural Description of Software Intensive Systems (IEEE Std 1471-2000). IEEE Computer Society, New York (2000)

    Google Scholar 

  30. Stelzer, D.: Enterprise Architecture Principles: Literature Review and Research Directions. In: Workshop on Trends in Enterprise Architecture Research, Stockholm, pp. 21–35 (2009)

    Google Scholar 

  31. Zhang, P., Benbasat, I., Carey, J., Davis, F., Galletta, D.: Human-Computer Interaction Research in the MIS Discipline. Communications of the Association for Information Systems 9, 334–355 (2002)

    Google Scholar 

  32. Chan, S.S., Wolfe, R.J., Fang, X.: Issues and Strategies for Integrating HCI in Masters Level MIS and E-Commerce Programs. International Journal of Human-Computer Studies 29, 497–520 (2003)

    Article  Google Scholar 

  33. Lyytinen, K.: HCI Research: Future Directions that Matter. AIS Transactions on Human-Computer Interaction 2, 22–26 (2010)

    Google Scholar 

  34. Willcocks, L.P., Whitley, E.A., Avgerou, C.: The Ranking of Top IS Journals: A Perspec-tive from the London School of Economics. European Journal of Information Systems 17, 163–168 (2008)

    Article  Google Scholar 

  35. Die Sprecher der Wissenschaftlichen Kommission Wirtschaftsinformatik im Verband der Hochschullehrer für Betriebswirtschaft (WKWI) und des Fachbereichs Wirtschaftsinformatik der Gesellschaft für Informatik (GI-FB WI): WI-Journalliste 2008 sowie WI-Liste der Konferenzen. Wirtschaftsinformatik 50, 155–163 (2008)

    Google Scholar 

  36. AIS: MIS Journal Rankings, http://ais.affiniscape.com/displaycommon.cfm?an=1&subarticlenbr=432 (accessed November 20, 2010)

  37. VHB: Teilranking Wirtschaftsinformatik und Informationsmanagement, http://vhbonline.org/service/jourqual/jq2/teilranking-wirtschaftsinformatik-und-informationsmanagement/ (accessed November 25, 2010)

  38. Myers, I.B.: Introduction to Type. Center for Applications of Psychological Type, Gaines-ville (1976)

    Google Scholar 

  39. Witkin, H.A., Moore, C.A., Goodenough, D.R., Cox, P.W.: Field-Dependent and Field-Independent Cognitive Styles and Their Educational Implications. Review of Educational Research 47, 1–64 (1977)

    Article  Google Scholar 

  40. Rowe, A.J., Boulgarides, J.D.: Decision Styles - A Perspective. Leadership & Organizational Development Journal 4, 3–9 (1983)

    Article  Google Scholar 

  41. Dhaliwal, J.S., Benbasat, I.: The Use and Effects of Knowledge-based System Explana-tions: Theoretical Founcdations and a Framework for Empirical Evaluation. Information Systems Research 7, 343–362 (1996)

    Article  Google Scholar 

  42. Mao, J.-Y., Benbasat, I.: The Use of Explanations in Knowledge-Based Systems: Cognitive Perspectives and a Process-Tracing Analysis. Journal of Management Information Systems 17, 153–179 (2000)

    Article  Google Scholar 

  43. Deng, X., Doll, W.J., Al-Gahtani, S.S., Larsen, T.J., Pearson, J.M., Raghunathan, T.S.: A Cross-Cultural Analysis of the End-User Computing Satisfaction Instrument: A Multi-Group Invariance Analysis. Information & Management 45, 211–220 (2008)

    Article  Google Scholar 

  44. Tractinsky, N., Meyer, J.: Chartjunk or Goldgraph? Effects of Presentation Objectives and Content Desirability on Information Presentation. MIS Quarterly 23, 397–420 (1999)

    Article  Google Scholar 

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

    Article  Google Scholar 

  46. Rainer, R.K., Watson, H.J.: What Does It Take for Successful Executive Information Systems? Decision Support Systems 14, 147–156 (1995)

    Article  Google Scholar 

  47. Walstrom, K.A., Wilson, R.L.: An Examination of Information Systems (EIS) Users. Information & Management 32, 75–83 (1997)

    Article  Google Scholar 

  48. Seeley, M., Targett, D.: Patterns of Senior Executives’ Personal Use of Computers. Information & Management 35, 315–330 (1999)

    Article  Google Scholar 

  49. Rockart, J.F.: The Changing Role of the Information Systems Executive - A Critical Success Factors Perspective. Sloan Management Review 24, 3–13 (1982)

    Google Scholar 

  50. Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press, Boston (1996)

    Google Scholar 

  51. Palvia, P., Kumar, A., Kumar, N., Hendon, R.: Information Requirements of a Global EIS: An Exploratory Macro Assessment. Decision Support Systems 16, 169–179 (1996)

    Article  Google Scholar 

  52. Mayer, J.H., Marx, F.: Managing a Paradox – Design Principles for Executives’ IT Support. In: 14th Pacific Asia Conference on Information Systems, Taipeh, pp. 1321–1332 (2010)

    Google Scholar 

  53. Brousseau, É., Glachant, J.M.: New Institutional Economics – A Guidebook. Cambridge University Press, Cambridge (2008)

    Book  Google Scholar 

  54. Martinsons, M.G., Davison, R.M.: Strategic Decision Making and Support Systems: Comparing American, Japanese and Chinese Management. Decision Support Systems 43, 284–300 (2007)

    Article  Google Scholar 

  55. Lamberti, D., Wallace, W.A.: Presenting Uncertainty in Expert Systems: An Issue in Information Portrayal. Information & Management 13, 159–169 (1987)

    Article  Google Scholar 

  56. Agrawal, A., Clay, P.: Temperament and Cognitive Fit: An Empirical Investigation of Task Performance. In: 31st International Conference on Information Systems, Saint Louis, pp. 1–10 (2010)

    Google Scholar 

  57. Keirsey, D., Bates, M.: Please Understand Me: Character and Temperament Types. Gnosology Books (1984)

    Google Scholar 

  58. Walia, G.S., Carver, J.C.: A Systematic Literature Review to Identify and Classify Software Requirement Errors. Information and Software Technology 51, 1087–1109 (2009)

    Article  Google Scholar 

  59. Nutt, P.C.: Evaluating MIS Design Principles. MIS Quarterly 10, 139–158 (1986)

    Article  Google Scholar 

  60. Mayer, J.H., Stock, D.: Nutzertypen für die situative FIS-Gestaltung: Ergebnisse einer empirischen Untersuchung. In: 10th International Conference on Wirtschaftsinformatik WI 2011, Zurich, pp. 139–149 (2011)

    Google Scholar 

  61. Huysmans, J.H.B.M.: The Effectiveness of the Cognitive-Style Constraint in Implementing Operations Research Proposals. Management Science 17, 92–104 (1970)

    Article  Google Scholar 

  62. McClelland, D.C.: Business Drive and National Achievement. Harvard Business Review 40, 113–122 (1962)

    Google Scholar 

  63. Alavi, M., Joachimsthaler, E.A.: Revisiting DSS Implementation Research: A Meta-Ana-lysis of the Literature and Suggestions for Researchers. MIS Quarterly 16, 95–116 (1992)

    Article  Google Scholar 

  64. Fisher, C.W., Chengalur-Smith, I., Ballou, D.P.: The Impact of Experience and Time on the Use of Data Quality Information in Decision Making. Information System Research 14, 170–188 (2003)

    Article  Google Scholar 

  65. Lederer, A.L., Smith, G.L.: Individual Differences and Decision-Making Using Various Levels of Aggregation of Information. Journal of Management Information Systems 5, 53–69 (1988)

    Article  Google Scholar 

  66. Loiacono, E., Djamasbi, S.: Moods and Their Relevance to Systems Usage Models within Organizations: An Extended Framework. AIS Transactions on Human-Computer Interaction 2, 55–73 (2010)

    Google Scholar 

  67. Powell, P.L., Johnson, J.E.V.: Gender and DSS Design: The Research Implications. Decision Support Systems 14, 27–58 (1995)

    Article  Google Scholar 

  68. Te’eni, D.: Designs that Fit. In: Zhang, P., Galletta, D. (eds.) Human-Computer Interaction and Management Information Systems: Foundations, pp. 205–224. M.E. Sharpe, London (2006)

    Google Scholar 

  69. 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 

  70. Wall, K.D.: A Model of Decision Making under Bounded Rationality. Journal of Economic Behavior and Organization 21, 331–352 (1993)

    Article  Google Scholar 

  71. Arnott, D., Jirachiefpattana, W., O’Donnell, P.: Executive Information Systems Development in an Emerging Economy. Decision Support Systems 42, 2078–2084 (2007)

    Article  Google Scholar 

  72. Barkhi, R.: Cognitive Style Mitigate the Impact of Communication Mode. Information & Management 39, 677–688 (2002)

    Article  Google Scholar 

  73. Elam, J.J., Leidner, D.G.: EIS Adoption, Use, Impact: The Executive Perspective. Decision Support Systems 14, 89–103 (1995)

    Article  Google Scholar 

  74. Liu, Y., Chen, A.N.K.: The Effect of Individual Differences, Tasks, and Decision Models on User Acceptance of Decision Support Systems. In: 14th Americas Conference on Information Systems, Toronto, pp. 1–11 (2008)

    Google Scholar 

  75. Sena, J.A., Olson, D.H.: Decision Support for the Administrative Man: A Prototype DSS Case. European Journal of Information Systems 5, 10–23 (1996)

    Article  Google Scholar 

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Authors and Affiliations

  1. Institute of Information Management, University of St.Gallen, Mueller-Friedberg-Straße 8, 9000, St. Gallen, Switzerland

    Jörg H. Mayer & Robert Winter

  2. University of Darmstadt, Hochschulstraße 1, 64289, Darmstadt, Germany

    Thomas Mohr

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  1. Jörg H. Mayer
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  2. Robert Winter
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  3. Thomas Mohr
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Editors and Affiliations

  1. Sheldon B. Lubar School of Business, University of Wisconsin-Milwaukee, 3202 N. Maryland Avenue, 53201-0742, Milwaukee, WI, USA

    Hemant Jain  & Atish P. Sinha  & 

  2. Whitman School of Management, Syracuse University, 721 University Avenue, 13244-2450, Syracuse, NY, USA

    Padmal Vitharana

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Mayer, J.H., Winter, R., Mohr, T. (2011). 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) Service-Oriented Perspectives in Design Science Research. DESRIST 2011. Lecture Notes in Computer Science, vol 6629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20633-7_21

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  • DOI: https://doi.org/10.1007/978-3-642-20633-7_21

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