Search
2015 Volume 30
Article Contents
RESEARCH ARTICLE   Open Access    

A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information

More Information
  • Abstract: Drawing upon the theories of complexity and complex adaptive systems and the Singerian inquiring system from C. West Churchman's seminal work The Design of Inquiring Systems, the study herein develops a systems design theory for continuous auditing systems. The discussion focuses on the two foundational theories, development of the theory of Complex Adaptive Inquiring Organizations (CAIO) and associated design principles for a continuous auditing system supporting a CAIO, and instantiation of the CAIO theory. The instantiation consists of an agent-based model depicting the marketplace for Frontier Airlines that generates an anticipated market share used as an integral component in a mock auditor going concern opinion for the airline. As a whole, the study addresses the lack of an underlying system design theory and comprehensive view needed to build upon and advance the continuous assurance movement and addresses the question of how continuous auditing systems should be designed to produce knowledge – knowledge that benefits auditors, clients, and society as a whole.
  • 加载中
  • Altman E. I.1968. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. Journal of Finance23(4), 589–609.

    Google Scholar

    American Institute of Public Accountants. 1998. Analytical Procedures, Statement on Auditing Standards No. 56. AICPA.

    Google Scholar

    American Institute of Public Accountants. 2008. AICPA Code of Professional Conduct: Article II—The Public Interest. AICPA (Available from http://www.aicpa.org/about/code/et_section_53__article_ii_the_public_interest.html).

    Google Scholar

    Anderson P.1999. Complexity theory and organization science. Organization Science10(3), 216–232.

    Google Scholar

    Anufriev M., Hommes C.2009. Evolution of market heuristics. The Knowledge Engineering Review27(2), 255–271.

    Google Scholar

    Atlanta Journal-Constitution. 2008. Creditcard processors can clip airlines’ wings. DallasNews.com (Available from http://www.dallasnews.com/sharedcontent/dws/bus/industries/airlines/stories/DN-airlines_14bus.State.Edition1.96500a.html).

    Google Scholar

    Avgerou C., McGrath K.2007. Power, rationality, and the art of living through socio-technical change. MIS Quarterly31(2), 293–315.

    Google Scholar

    Avison D. E., Wood-Harper A. T., Vidgen R. T., Wood J. R. G.1998. A further exploration into information systems development: the evolution of Multiview 2. Information Technology & People11(2), 124–139.

    Google Scholar

    Benbasat I., Zmud R. W.1999. Empirical Research in Information Systems: the Practice of Relevance. MIS Quarterly23(1), 3–16.

    Google Scholar

    Benbya H., McKelvey B.2006. Toward a complexity theory of information systems development. Information Technology and People19(1), 12–34.

    Google Scholar

    Bonabeau E.2002. Predicting the unpredictable. Harvard Business Review80(3), 109–116.

    Google Scholar

    Brenner T., Werker C.2007. A taxonomy of inference in simulation models. Computational Economics30(3), 227–244.

    Google Scholar

    Bureau of Transportation Statistics. 2008. T-100 Domestic Market (All Carriers). Bureau of Transportation Statistics.

    Google Scholar

    Carugati A.2008. Information systems development activities and inquiring systems: an integrating framework. European Journal of Information Systems17, 143–155.

    Google Scholar

    Casti J. L.1997. Would-be worlds: how simulation is changing the frontiers of science. Wiley.

    Google Scholar

    Cederman L. E.1997. Emergent Actors in World Politics: How States and Nations Develop and Dissolve. Princeton University Press.

    Google Scholar

    Chapman G. P.1985. The Epistemology of Complexity and Some Reflections on the Symposium: The Science and Praxis of Complexity, Montpellier. The United Nations University.

    Google Scholar

    Choi T. Y., Dooley K. J., Rungtusanatham M.2001. Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management19(3), 351–366.

    Google Scholar

    Churchman C. W.1971. The Design of Inquiring Systems: Basic Concepts of Systems and Organization. Basic Books.

    Google Scholar

    Cilliers P.1998. Complexity and Postmodernism: Understanding Complex Systems. Routledge.

    Google Scholar

    City and County of Denver, Colorado Municipal Airport System. 2006. Annual financial report (Available from http://www.flydenver.com/diabiz/stats/financials/reports/2006_finrpt.pdf).

    Google Scholar

    Courtney J. F.2001. Decision making and knowledge management in inquiring organizations: toward a new decision-making paradigm for DSS. Decision Support Systems31(1), 17–38.

    Google Scholar

    Courtney J. F., Croasdell D. T., Paradice D. B.1998. Inquiring organizations. Australian Journal of Information Systems6(1), 3–15.

    Google Scholar

    Courtney J. F., Merali Y., Paradice D. B., Wynn E.2008. On the Study of Complexity in Information Systems. International Journal of Information Technologies and the Systems Approach1(1), 37–48.

    Google Scholar

    Cox C.2008. Speech by SEC Chairman: ‘The SEC Agenda for 2008’. US Securities and Exchange Commission (Available from http://www.sec.gov/news/speech/2008/spch020808cc.htm).

    Google Scholar

    Dastani M., Gomez-Sanz J. J.2005. Programming multi-agent systems. The Knowledge Engineering Review20(2), 151–164.

    Google Scholar

    Dooley K. J.1997. A complex adaptive systems model of organization change. Nonlinear Dynamics, Psychology, and Life Sciences1(1), 69–97.

    Google Scholar

    Dugan M. T., Zavgren C. V.1988. Bankruptcy prediction research: a valuable instructional tool. Issues in Accounting Education1, 48–65.

    Google Scholar

    Dyslin A.2007. A Hops Crisis Looms: Cost of Beer Could Rise. The Free Press (Available from http://www.mankato-freepress.com/local/local_story_319225135.html).

    Google Scholar

    Epstein J. M., Axtell R.1996. Growing Artificial Societies: Social Science from the Bottom Up. Brookings Institution Press.

    Google Scholar

    Frontier Airlines Holdings Inc.2006. Annual Report. Retrieved on May 3, 2014 and available at http://www.sec.gov/edgar.shtml#.U2UvhlfizYM.

    Google Scholar

    Frontier Airlines Holdings Inc.2007. Annual Report. Retrieved on May 3, 2014 and available at http://www.sec.gov/edgar.shtml#.U2UvhlfizYM.

    Google Scholar

    Giddens A.1984. The Constitution of Society. Cambridge, England.

    Google Scholar

    Glover S. M., Jiambalvo J., Kennedy J.2000. Analytical procedures and audit-planning decisions. Auditing: A Journal of Practice & Theory19(2), 27–46.

    Google Scholar

    Greenwood D.2007. From market to non-market: an autonomous agent approach to central planning. The Knowledge Engineering Review22(4), 349–360.

    Google Scholar

    Grice J. S., Dugan M. T.2001. The limitations of bankruptcy prediction models: some cautions for the researcher. Review of Quantitative Finance and Accounting17(2), 151–166.

    Google Scholar

    Grice J. S., Ingram R. W.2001. Tests of the generalizability of Altman's bankruptcy prediction model. Journal of Business Research54(1), 53–61.

    Google Scholar

    Hall D. J., Davis R. A.2007. Engaging multiple perspectives: a value-based decision-making model. Decision Support Systems43(4), 1588–1604.

    Google Scholar

    Hall D. J., Paradice D.2005. Philosophical foundations for a learning-oriented knowledge management system for decision support. Decision Support Systems39(3), 445–461.

    Google Scholar

    Hall D. J., Paradice D. B., Courtney J. F.2003. Building a theoretical foundation for a learning-oriented knowledge management system. Journal of Information Technology Theory and Application5(2), 63–84.

    Google Scholar

    Harris J., Uncles M.2007. Modeling the repatronage behavior of business airline travelers. Journal of Service Research9(4), 297–311.

    Google Scholar

    Hevner A. R., March S. T., Park J., Ram S.2004. Design science in information systems research. MIS Quarterly28(1), 75–105.

    Google Scholar

    Hoffman W. M., Rowe M.2007. The ethics officer as agent of the board: leveraging ethical governance capability in the post-Enron Corporation. Business and Society Review112(4), 553–572.

    Google Scholar

    Keen P. G. W., Sol H. G.2007. Rehearsing the Future: Building Decision Agility through Decision Enhancement Services. Delft University Press.

    Google Scholar

    Kim R. M., Kaplan S. M.2006. Interpreting socio-technical co-evolution: applying complex adaptive systems to IS engagement. Information Technology and People19(1), 35–54.

    Google Scholar

    Kogut B., Zander U.1992. Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science3(3), 383–397.

    Google Scholar

    Laurent G., Koch C.1999. Complexity and the nervous system. Science284, 96–98.

    Google Scholar

    Law A. M.2005. How to build valid and credible simulation models. In Proceedings of the 37th Conference on Winter Simulation, 58–66 (December 4-7, Orlando, FL).

    Google Scholar

    Linden L. P., Kuhn J. R., Parrish J., Richardson S. M., Adams L. A., Elgarah W., Courtney J. F.2007. Churchman's inquiring systems: kernel theories for knowledge management. Communications of the Association for Information Systems20, 836–871.

    Google Scholar

    Luoma M.2006. A play of four arenas: how complexity can serve management development. Management Learning37(1), 101–123.

    Google Scholar

    Markus M. L., Majchrzak A., Gasser L.2002. A design theory for systems that support emergent knowledge processes. MIS Quarterly26(3), 179–212.

    Google Scholar

    Mason R. B.2007. The external environment's effect on management and strategy: A complexity theory approach. Management Decision45(1), 10–28.

    Google Scholar

    Mason R. O., Mitroff I. I.1973. A program for research on management information systems. Management Science19(5), 475–488.

    Google Scholar

    McKee T. E.2003. Rough sets bankruptcy prediction models versus auditor signalling rates. Journal of Forecasting22(8), 569–586.

    Google Scholar

    Merriam-Webster Inc. 2008. Merriam-Webster's Online Dictionary. Merriam-Webster Inc. (Available from http://www.merriam-webster.com/dictionary/complex).

    Google Scholar

    Midgley D., Marks R., Kunchamwar D.2007. Building and assurance of agent-based models: an example and challenge to the field. Journal of Business Research60(8), 884–893.

    Google Scholar

    Mikulecky D. C.1999. Definition of Complexity. Retrieved on May 3, 2014 and available at: http://www.people.vcu.edu/∼mikuleck/ON%20COMPLEXITY.html.

    Google Scholar

    Mitchell R. K., Agle B. R., Wood D. J.1997. Toward a theory of stakeholder identification and salience: defining the principle of who and what really counts. Academy of Management Review22(4), 853–886.

    Google Scholar

    Mitroff II, Linstone H. A.1993. The Unbounded Mind: Breaking the Chains of Traditional Business Thinking. Oxford University Press.

    Google Scholar

    North M. J., Macal C. M.2007. Managing Business Complexity: Discovering Strategic Solutions With Agent-Based Modeling And Simulation. Oxford University Press.

    Google Scholar

    Ohlson J. A.1980. Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research18(1), 109–131.

    Google Scholar

    Parrish J. L.Jr.2008. Sensemaking and Inquiring Systems: Towards a Weickian Inquiring System, PhD dissertation, University of Central Florida.

    Google Scholar

    Reitsma F.2003. A response to simplifying complexity. Geoforum34(1), 13–16.

    Google Scholar

    Richardson S. M., Courtney J. F.2004. A Churchmanian theory of knowledge management system design. Paper read at Proceedings of the 37th Hawaii International Conference on System Sciences, January 5–8, Big Island, HI, USA.

    Google Scholar

    Richardson S. M., Courtney J. F., Haynes J. D.2006. Theoretical principles for knowledge management system design: application to pediatric bipolar disorder. Decision Support Systems42(3), 1321–1337.

    Google Scholar

    Richardson S. M., Courtney J. F., Paradice D. B.2001. An assessment of the Singerian approach to organizational learning: cases from academia and the utility industry. Information Systems Frontiers3(1), 49–62.

    Google Scholar

    Rittel H. W. J., Webber M. M.1973. Dilemmas in a general theory of planning. Policy Sciences4(2), 155–169.

    Google Scholar

    Rodgers W., Hedelin L., Housel T., Kuhn J. R.2008. Exploratory and Exploitative Knowledge Learning by Investment Analysts. Working paper, University of California, Riverside.

    Google Scholar

    Sánchez P. J.2006. As simple as possible, but no simpler: a gentle introduction to simulation modeling. In Proceedings of the 37th Conference on Winter Simulation, 2–10 (December 4–7, Orlando, FL).

    Google Scholar

    Schein E.1992. Organizational Culture and Leadership. Jossey-Bass.

    Google Scholar

    Siebers P. O., Aickelin U.2007. Introduction to multi-agent simulation. In eds. Adam, F. & Humphreys, P. Encyclopedia of Decision Making and Decision Support Technologies. IDEAS Group: 554–564.

    Google Scholar

    Simon H. A.1996. The Sciences of the Artificial. MIT Press.

    Google Scholar

    Sklar E., Richards D.2010. Agent-based systems for human readers. The Knowledge Engineering Review25(2), 111–135.

    Google Scholar

    Srbljinovic A., Skunca O.2003. Agent based modelling and simulation of social processes. Interdisciplinary Description of Complex Systems1(1–2), 1–8.

    Google Scholar

    Suzuki Y.2000. The relationship between on-time performance and airline market share: a new approach. Transportation Research Part E36(2), 139–154.

    Google Scholar

    Tesfatsion L.2001. Introduction to the special issue on agent-based computational economics. Journal of Economic Dynamics and Control25(3/4), 281–293.

    Google Scholar

    Troitzsch K. G.2000. Approaching Agent-Based Simulation. Freshwater Integrated Resource Management with Agents (FIRMA) Meeting (June 2000).

    Google Scholar

    United Air Lines Inc. 2006. Annual Report. Retrieved on May 3, 2014 and available from http://ir.unitedcontinentalholdings.com.

    Google Scholar

    Van Valen L.1973. A new evolutionary law. Evolutionary Theory1(1), 1–30.

    Google Scholar

    Vasarhelyi M. A., Halper F. B.1991. The continuous audit of online systems. Auditing: A Journal of Practice and Theory10(1), 110–125.

    Google Scholar

    Waldrop M. M.1993. Complexity: The Emerging Science at the Edge of Order and Chaos. Simon & Schuster.

    Google Scholar

    Walls J. G., Widmeyer G. R., El Sawy O. A.1992. Building an information system design theory for vigilant EIS. Information Systems Research3(1), 36–59.

    Google Scholar

    Zhang G., Hu M. Y., Patuwo B. E., Indro D. C.1999. Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis, Europ. Journal of Operational Research116, 16.

    Google Scholar

    Zimmerman B., Lindberg C., Plsek P.1998. Edgeware: Insights from Complexity Science for Health Care Leaders. VHA.

    Google Scholar

    Zmijewski M. E.1984. Methodological issues related to the estimation of financial distress prediction models. Journal of Accounting Research22(1), 59–82.

    Google Scholar

  • Cite this article

    John R. Kuhn, James F. Courtney, Bonnie Morris. 2015. A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information. The Knowledge Engineering Review 30(3)265−296, doi: 10.1017/S0269888913000428
    John R. Kuhn, James F. Courtney, Bonnie Morris. 2015. A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information. The Knowledge Engineering Review 30(3)265−296, doi: 10.1017/S0269888913000428

Article Metrics

Article views(24) PDF downloads(62)

Other Articles By Authors

RESEARCH ARTICLE   Open Access    

A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information

The Knowledge Engineering Review  30 2015, 30(3): 265−296  |  Cite this article

Abstract: Abstract: Drawing upon the theories of complexity and complex adaptive systems and the Singerian inquiring system from C. West Churchman's seminal work The Design of Inquiring Systems, the study herein develops a systems design theory for continuous auditing systems. The discussion focuses on the two foundational theories, development of the theory of Complex Adaptive Inquiring Organizations (CAIO) and associated design principles for a continuous auditing system supporting a CAIO, and instantiation of the CAIO theory. The instantiation consists of an agent-based model depicting the marketplace for Frontier Airlines that generates an anticipated market share used as an integral component in a mock auditor going concern opinion for the airline. As a whole, the study addresses the lack of an underlying system design theory and comprehensive view needed to build upon and advance the continuous assurance movement and addresses the question of how continuous auditing systems should be designed to produce knowledge – knowledge that benefits auditors, clients, and society as a whole.

    • Although SOX is a US statute, it applies to all companies, domestic or international, traded on US stock exchanges.

    • In this paper, we refer to US auditing standards and use a US company as our case study. However, assessment of whether a client remains a ‘going concern’ is not just a requirement for US auditors. In most countries, auditors are required to assess whether a client is a going concern and make appropriate disclosures when the future viability of the client is in question.

    • Copyright © Cambridge University Press 2014 2014Cambridge University Press
References (85)
  • About this article
    Cite this article
    John R. Kuhn, James F. Courtney, Bonnie Morris. 2015. A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information. The Knowledge Engineering Review 30(3)265−296, doi: 10.1017/S0269888913000428
    John R. Kuhn, James F. Courtney, Bonnie Morris. 2015. A theory of complex adaptive inquiring organizations: application to continuous assurance of corporate financial information. The Knowledge Engineering Review 30(3)265−296, doi: 10.1017/S0269888913000428
  • Catalog

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return