Skip to main content

Accounting Information Systems and Knowledge Management Systems: An Integrated Approach for Strategic Control

  • Chapter
  • First Online:
Book cover Accounting Information Systems for Decision Making

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

Abstract

The aim of this chapter is to highlight the potential role of integration of Accounting Information System (AIS) and Knowledge Management Systems (KMS) for strategic control. The benefits of this integration can be expressed in terms of better support to knowledge conversions and enhanced access to knowledge embedded in tacit models by applying knowledge discovery techniques for model externalization. We propose a modified version of PROFSET model as a tool for realizing the integration: combining elements from AIS (to calculate product profitability) and KMS (to discover regularities in the purchase behaviour of customer), the PROFSET model can enhance the quality of support provided to decision makers and produce benefits that cannot be realized with any one system.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Notes

  1. 1.

    A frequent itemset of size 1 is also named frequent item.

  2. 2.

    The PROFSET model assumes that the sum of all M(X) approximates the overall profitability of product assortment.

  3. 3.

    According to data, customers buy the maximal subset X {beer, peanuts} two times more frequently than the maximal subset Y {cheese, peanuts}, and consequently we can say that it is more likely that the real customer’s purchase intention has been {beer, peanuts} instead of {cheese, peanuts}.

References

  1. Merchant, K.A., Otley, D.T.: A review of literature on control and accountability. In: Chapman, C.S., Hopwood, A.G., Shields, M.D. (eds.) Handbook of Management Accounting Research, vol. 2, pp. 785–802. Elsevier, Amsterdam (2007)

    Chapter  Google Scholar 

  2. Chenhall, R.H.: Management control system design within its organizational context: Findings from contingency-based research and directions for the future. Acc. Organ. Soc. 28, 127–168 (2003)

    Article  Google Scholar 

  3. Emmanuel, C., Otley, D., Merchant, K.: Accounting for Management Control. Thomson Learning, London (2004)

    Google Scholar 

  4. Thierauf, R.J., Hoctor, J.J.: Optimal Knowledge Management: Wisdom Management System Concepts and Applications. Idea Group Publishing, Hershey (2006)

    Book  Google Scholar 

  5. Alavi, M., Leidner, D.E.: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Q. 25(1), 107–136 (2001)

    Article  Google Scholar 

  6. Lupu, A.M., Bologa, R., Lungu, I., Bra, A.: The impact of organization changes on business intelligence projects. In: Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization, pp. 414–418. WSEAS Press, Stevens Point (2007)

    Google Scholar 

  7. Kleinberg, J., Papadimitriou, C., Raghavan, P.: A microeconomic view of data mining. Data Min. Knowl. Discov. J. 2(4), 311–324 (1998)

    Article  Google Scholar 

  8. Wang, H., Wang, S.: A knowledge management approach to data mining process for business intelligence. Ind. Manage. Data Syst. 108(5), 622–634 (2008)

    Article  Google Scholar 

  9. Zimmerman, J.L.: Accounting for Decision Making and Control. Irwin McGraw-Hill, Boston (2000)

    Google Scholar 

  10. Nicolau, A.I.: A contingency model of perceived effectiveness in accounting information systems: Organizational coordination and control effects. Int. J. Acc. Inf. Syst. 1, 91–105 (2000)

    Article  Google Scholar 

  11. Chong, V.K.: Management accounting systems, task uncertainty and managerial performance: A research note. Acc. Organ. Soc. 21, 415–421 (1996)

    Article  Google Scholar 

  12. Mia, L., Chenhall, R.H.: The usefulness of management accounting systems, functional differentiation and managerial effectiveness. Acc. Organ. Soc. 19, 1–13 (1994)

    Article  Google Scholar 

  13. Chong, V.K., Eggleton, I.R.: The decision-facilitating role of management accounting systems on managerial performance: The influence of locus of control and task uncertainty. Adv. Acc. 20, 165–197 (2003)

    Article  Google Scholar 

  14. Hopper, T., Scapens, R.W., Northcott, D.: Issues in Management Accounting. Financial Times Prentice Hall, Upper Saddle River (2007)

    Google Scholar 

  15. Polany, M.: The Tacit Dimension. Routledge and Keoan Paul, London (1967)

    Google Scholar 

  16. Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5(1), 14–37 (1994)

    Article  Google Scholar 

  17. Baldvinsdottir, G., Mitchell, F., Nørreklit, H.: Issues in the relationship between theory and practice in management accounting. Manag. Acc. Res. 21(2), 79–82 (2010)

    Article  Google Scholar 

  18. Kasanen, E., Lukka, K., Siitonen, A.: The constructive approach in management accounting research. J. Manage. Acc. Res. 5, 64–243 (1993)

    Google Scholar 

  19. Baker, C.R.: A plea for action research in accounting information systems. In: Koch, N. (ed.) Information Systems Action Research—An Applied View of Emerging Concepts and Methods, pp. 395–404. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  20. Baskerville, R., Wood-Harper, A.T.: Diversity in information systems action research methods. Eur. J. Inf. Syst. 7(2), 90–107 (1998)

    Article  Google Scholar 

  21. Mohrman, S.A., Gibson, C.B., Mohrman, A.M.: Doing research that is useful to practice: A model and empirical exploration. Acad. Manag. J. 44(2), 357–375 (2001)

    Article  Google Scholar 

  22. Assudani, R.H.: Dispersed knowledge work—Implications for knowledge intensive firms. J. Knowl. Manage. 13(6), 521–532 (2009)

    Article  Google Scholar 

  23. Niiniluoto, I.: Critical Scientific Realism. Oxford University Press, New York (2002)

    Book  Google Scholar 

  24. Brijs, T., Swinnen, G., Vanhoof, K., Wets, G.: A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model. In: Proceedings of the ACM Seventh International Conference on Knowledge Discovery and Data Mining, pp. 300–304. ACM Press, New York (2001)

    Google Scholar 

  25. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.: Fast discovery of association rules. In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 307–328. AAAI Press, Menlo Park (1996)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roberto Del Gobbo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Del Gobbo, R. (2013). Accounting Information Systems and Knowledge Management Systems: An Integrated Approach for Strategic Control. In: Mancini, D., Vaassen, E., Dameri, R. (eds) Accounting Information Systems for Decision Making. Lecture Notes in Information Systems and Organisation, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35761-9_8

Download citation

Publish with us

Policies and ethics