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Evaluating Accounting Information Systems That Support Multiple GAAP Reporting Using Normalized Systems Theory

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Book cover Advances in Enterprise Engineering VIII (EEWC 2014)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 174))

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Abstract

This paper uses a mixed methods approach of design science and case study research to evaluate structures of Accounting Information Systems (AIS) that report in multiple Generally Accepted Accounting Principles (GAAP), using Normalized Systems Theory (NST). To comply with regulation, many companies need to apply multiple GAAP. In case studies we identify AIS structures for multiple GAAP reporting. AIS need to cope with changes in GAAP and regulation in an evolvable way, the impact of the changes needs to be bounded. Since NST provides guidelines to design modular structures (in software) with an ex-ante proven degree of evolvability [1], we use NST to evaluate the identified AIS structures. We list violations of NST principles (combinatorial effects) and describe their manifestation in the cases. This application of NST in accounting demonstrates its relevance in non-software-specific domains. Moreover this is the first evaluation of an AIS with respect to evolvability.

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References

  1. Mannaert, H., Verelst, J.: Normalized Systems: Re-creating Information Technology Based On Laws For Software Evolvability. Koppa (2009)

    Google Scholar 

  2. Sinnett, W.M., Willis, M.: The time is right for standard business reporting. Financial Executive 25(9), 23–27 (2009)

    Google Scholar 

  3. Lehman, M.: Programs, life cycles, and laws of software evolution. Proceedings of the IEEE 68, 1060–1076 (1980)

    Article  Google Scholar 

  4. Mannaert, H., Verelst, J., Ven, K.: The transformation of requirements into software primitives: Studying evolvability based on systems theoretic stability. Science of Computer Programming 76(12), 1210–1222 (2011)

    Article  Google Scholar 

  5. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Quarterly 28(1), 75–105 (2004)

    Google Scholar 

  6. Benbasat, I., Zmud, R.W.: Empirical research in information systems: The practice of relevance. MIS Quarterly 23(1), 3–16 (1999)

    Article  Google Scholar 

  7. Hirschheim, R., Klein, H.K.: Crisis in the IS field? a critical reflection on the state of the discipline. Journal of the Association for Information Systems 4(5), 237–293 (2003)

    Google Scholar 

  8. Simon, H.A.: The Sciences of the Artificial, 2nd edn. The MIT Press (1969)

    Google Scholar 

  9. Buchanan, R.: Wicked problems in design thinking. Design Issues 8(2), 5–21 (1992)

    Article  Google Scholar 

  10. Peffers, K., Tuunanen, T., Rothenberger, M., Chatterjee, S.: A design science research methodology for information systems research. Journal of Management Information Systems 24(3), 45–77 (2007)

    Article  Google Scholar 

  11. Morse, J.M., Niehaus, L.: Mixed Method Design: Principles and Procedures. Developing Qualitative Inquiry, vol. 4. Left Coast, Walnut Creek (2009)

    Google Scholar 

  12. Huysmans, P., De Bruyn, P.: A mixed methods approach to combining behavioral and design research methods in information systems research. In: Proceedings of the 21st European Conference on Information Systems (2013)

    Google Scholar 

  13. Campagnolo, D., Camuffo, A.: The concept of modularity in management studies: A literature review. International Journal of Management Reviews 12(3), 259–283 (2010)

    Google Scholar 

  14. Djelic, M.L., Ainamo, A.: The coevolution of new organizational forms in the fashion industry: A historical and comparative study of france, italy, and the united states. Organization Science 10(5), 622–637 (1999)

    Article  Google Scholar 

  15. Miozzo, M., Grimshaw, D.: Modularity and innovation in knowledge-intensive business services: It outsourcing in germany and the uk. Research Policy 34(9), 1419–1439 (2005)

    Article  Google Scholar 

  16. Salvador, F., Forza, C., Rungtusanatham, M.: Modularity, product variety, production volume, and component sourcing: theorizing beyond generic prescriptions. Journal of Operations Management 20(5), 549–575 (2002)

    Article  Google Scholar 

  17. Thyssen, J., Israelsen, P., Jørgensen, B.: Activity-based costing as a method for assessing the economics of modularization-a case study and beyond. International Journal of Production Economics 103(1), 252–270 (2006)

    Article  Google Scholar 

  18. Marchall, C., Rossman, G.: Designing qualitative research, 3rd edn. Sage Publications (2006)

    Google Scholar 

  19. Huysmans, P.: On the Feasibility of Normalized Enterprises: Applying Normalized Systems Theory to the High-Level Design of Enterprises. PhD thesis, University of Antwerp (2011)

    Google Scholar 

  20. Benbasat, I., Goldstein, D.K., Mead, M.: The case research strategy in studies of information systems. MIS Quarterly 11(3), 369–386 (1987)

    Article  Google Scholar 

  21. Yin, R.K.: Case study research: design and methods, 3rd/4th edn. Applied social research methods series, vol. 5. Sage Publications, Newbury (2003)

    Google Scholar 

  22. Ritchie, J., Lewis, J., Elam, G.: Designing and selecting samples. In: Qualitative Research Practice: A Guide for Social Science Students and Researchers, pp. 77–108. Sage Publications, Thousand Oaks (2003)

    Google Scholar 

  23. Stake, R.: Case Studies. In: Handbook of Qualitative Research, pp. 236–247. Sage Publications, Thousand Oaks (1994)

    Google Scholar 

  24. Stake, R.: Case Studies. In: Strategies of Qualitative Inquiry, pp. 86–109. Sage Publications, Thousand Oaks (1998)

    Google Scholar 

  25. Eisenhardt, K.M.: Building theories from case study research. The Academy of Management Review 14(4), 532–550 (1989)

    Google Scholar 

  26. Campbell, D.T.: The informant in quantitative research. American Journal of Sociology 60(4), 339–342 (1955)

    Article  Google Scholar 

  27. Kumar, N., Stern, L.W., Anderson, J.C.: Conducting interorganizational research using key informants. The Academy of Management Journal 36(6), 1633–1651 (1993)

    Article  Google Scholar 

  28. Dubé, L., Paré, G.: Rigor in information systems positivist case research: Current practices, trends, and recommendations. MIS Quarterly 27(4), 597–635 (2003)

    Google Scholar 

  29. Fischer, M., Marsh, T.: Accounting and reporting convergence. International Journal of the Academic Business World 6(1), 1–10 (2012)

    Google Scholar 

  30. Meall, L.: Can you comply? Accountancy 133(1329), 73–74 (2004)

    Google Scholar 

  31. SAP AG: Sap documentation (2013)

    Google Scholar 

  32. Hevner, A.R.: A three cycle view of design science research. Scandinavian Journal of Information Systems 19(2), 87–92 (2007)

    Google Scholar 

  33. Van Nuffel, D.: Towards Designing Modular and Evolvable Business Processes. Doctoral dissertation, University of Antwerp (2011)

    Google Scholar 

  34. Huysmans, P., Oorts, G., De Bruyn, P., Mannaert, H., Verelst, J.: Positioning the normalized systems theory in a design theory framework. In: Shishkov, B. (ed.) BMSD 2012. LNBIP, vol. 142, pp. 43–63. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  35. Huysmans, P., De Bruyn, P.: Activity-based costing as a design science artifact. In: Proceedings of the 47th Hawaii International Conference on System Science (HICSS 2014), pp. 3667–3676 (2014)

    Google Scholar 

  36. Verelst, J., Silva, A.R., Mannaert, H., Ferreira, D.A., Huysmans, P.: Identifying combinatorial effects in requirements engineering. In: Proper, H.A., Aveiro, D., Gaaloul, K. (eds.) EEWC 2013. LNBIP, vol. 146, pp. 88–102. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

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Vanhoof, E., Huysmans, P., Aerts, W., Verelst, J. (2014). Evaluating Accounting Information Systems That Support Multiple GAAP Reporting Using Normalized Systems Theory. In: Aveiro, D., Tribolet, J., Gouveia, D. (eds) Advances in Enterprise Engineering VIII. EEWC 2014. Lecture Notes in Business Information Processing, vol 174. Springer, Cham. https://doi.org/10.1007/978-3-319-06505-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-06505-2_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06504-5

  • Online ISBN: 978-3-319-06505-2

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