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Good science, bad science: Preventing paradigm paralysis and method-bias malaise

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  • McKnight, D. Harrison

Abstract

This essay attempts to describe the potentially positive or negative outcomes of a research methods issue. I draw upon three lessons for scientists found in the field of medical science. These three lessons are applied to the Accounting Information Systems (AIS) field. Finally, I suggest a few ways by which AIS researchers can collectively make the most of this issue to thrust the field forward.

Suggested Citation

  • McKnight, D. Harrison, 2011. "Good science, bad science: Preventing paradigm paralysis and method-bias malaise," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 84-89.
    • Handle: RePEc:eee:ijoais:v:12:y:2011:i:2:p:84-89
    DOI: 10.1016/j.accinf.2011.02.003
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    References listed on IDEAS

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    1. Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
    2. George P. Huber, 1983. "Cognitive Style as a Basis for MIS and DSS Designs: Much ADO About Nothing?," Management Science, INFORMS, vol. 29(5), pages 567-579, May.
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    Cited by:

    1. Taipaleenmäki, Jani & Ikäheimo, Seppo, 2013. "On the convergence of management accounting and financial accounting – the role of information technology in accounting change," International Journal of Accounting Information Systems, Elsevier, vol. 14(4), pages 321-348.
    2. Ivo De Loo & Jan Bots, 2018. "The life of an accounting information systems research course," Accounting Education, Taylor & Francis Journals, vol. 27(4), pages 358-382, July.

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