Good science, bad science: Preventing paradigm paralysis and method-bias malaise
D. Harrison McKnight
International Journal of Accounting Information Systems, 2011, vol. 12, issue 2, 84-89
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.
Keywords: Philosophy of science; Methods; Bias; Paradigm; Rigor; Relevance (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1467089511000194
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ijoais:v:12:y:2011:i:2:p:84-89
DOI: 10.1016/j.accinf.2011.02.003
Access Statistics for this article
International Journal of Accounting Information Systems is currently edited by S.V. Grabski
More articles in International Journal of Accounting Information Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().