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Exploiting comparative advantage: A paradigm for value added research in accounting information systems

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  • Alles, Michael G.
  • Kogan, Alexander
  • Vasarhelyi, Miklos A.

Abstract

Following the lead of recent papers by Demski [Demski J. Is Accounting an Academic Discipline? Account Horiz 2007;21(2): 153–157], Fellingham [Fellingham J. Is Accounting an Academic Discipline? Account Horiz 2007;21(2): 159–163] and Hopwood [Hopwood A. Whither Accounting Research? Account Rev 2007;82(5): 1365–1374] which questioned the direction and value added of non-AIS accounting research, we discuss the state of research in Accounting Information Systems. AIS researchers face a significant hurdle in undertaking value added research given that the financial and human resources that industry devotes to research and development of AIS technology dwarf the capabilities of academic researchers. In these circumstances, we put forward a paradigm for AIS research based on the principle of comparative advantage, which is the powerful economic force that ensures that trade can take place even between parties where one has an absolute superiority over the other. It is our contention that if AIS academics are to succeed in creating value added research then they have to identify what they can do that the AIS industry, despite all its financial and human resource advantages, cannot or will not do. And what economic theory indicates is that such opportunities to add value always exist — if only academics are willing to seek them out. We illustrate our paradigm by analyzing three potential sources of comparative advantage for AIS researchers and discussing illustrative examples of research in each of these areas.

Suggested Citation

  • Alles, Michael G. & Kogan, Alexander & Vasarhelyi, Miklos A., 2008. "Exploiting comparative advantage: A paradigm for value added research in accounting information systems," International Journal of Accounting Information Systems, Elsevier, vol. 9(4), pages 202-215.
    • Handle: RePEc:eee:ijoais:v:9:y:2008:i:4:p:202-215
    DOI: 10.1016/j.accinf.2008.06.001
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    References listed on IDEAS

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    1. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    2. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    3. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    4. William F. Messier, Jr. & James V. Hansen, 1988. "Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data," Management Science, INFORMS, vol. 34(12), pages 1403-1415, December.
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    Citations

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    Cited by:

    1. Chiu, Victoria & Liu, Qi & Vasarhelyi, Miklos A., 2014. "The development and intellectual structure of continuous auditing research," Journal of Accounting Literature, Elsevier, vol. 33(1), pages 37-57.
    2. Alles, Michael, 2018. "Examining the role of the AIS research literature using the natural experiment of the 2018 JIS conference on cloud computing," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 58-74.
    3. Mahdi Salehi, 2011. "A study of the barriers of implementation of accounting information system: Case of listed companies in Tehran Stock Exchange," Journal of Economics and Behavioral Studies, AMH International, vol. 2(2), pages 76-85.
    4. Sutton, Steve G. & Holt, Matthew & Arnold, Vicky, 2016. "“The reports of my death are greatly exaggerated”—Artificial intelligence research in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 22(C), pages 60-73.
    5. Federica De Santis, 2018. "Big Data e revisione contabile: uno studio esplorativo nel contesto italiano," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2018(2), pages 129-154.
    6. André Gräning & Carsten Felden & Maciej Piechocki, 2011. "Status Quo and Potential of XBRL for Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(4), pages 231-239, August.
    7. Alles, Michael, 2020. "Using the 2019 JBE conference and 2017 JIS themed issue as natural experiments to examine the role of editors as gatekeepers of the research literature in AIS and ethics," International Journal of Accounting Information Systems, Elsevier, vol. 39(C).
    8. Gray, Glen L. & Chiu, Victoria & Liu, Qi & Li, Pei, 2014. "The expert systems life cycle in AIS research: What does it mean for future AIS research?," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 423-451.
    9. Alles, Michael G. & Kogan, Alexander & Vasarhelyi, Miklos A., 2013. "Collaborative design research: Lessons from continuous auditing," International Journal of Accounting Information Systems, Elsevier, vol. 14(2), pages 104-112.
    10. Guan, Jian & Levitan, Alan S. & Kuhn, John R., 2013. "How AIS can progress along with ontology research in IS," International Journal of Accounting Information Systems, Elsevier, vol. 14(1), pages 21-38.
    11. Belfo Fernando & Trigo António & Estébanez Raquel Pérez, 2015. "Impact of ICT Innovative Momentum on Real-Time Accounting," Business Systems Research, Sciendo, vol. 6(2), pages 1-17, September.

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