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A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1

MIS Quarterly · 1999 · Vol. 23(1) · pp. 67–93
Heinz K. KleinMichael Myers

Abstract

This article discusses the conduct and evaluation of interpretive research in information systems. While the conventions for evaluating information systems case studies conducted according to the natural science model of social science are now widely accepted, this is not the case for interpretive field studies. A set of principles for the conduct and evaluation of interpretive field research in information systems is proposed, along with their philosophical rationale. The usefulness of the principles is illustrated by evaluating three published interpretive field studies drawn from the IS research literature. The intention of the paper is to further reflection and debate on the important subject of grounding interpretive research methodology.

Information Systems Theories and ImplementationBig Data and Business IntelligencePersona Design and ApplicationsField (mathematics)Information systemSet (abstract data type)Management scienceComputer scienceKnowledge managementData scienceSociologyEpistemologyEngineering
Citations
5,171
FWCI
205.69
field-weighted impact
References
62
Percentile
100%
vs. same field & year
Citations per year
References
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MIS Quarterly · 1987 · 4,691 citations
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Administrative Science Quarterly · 1983 · 5,642 citations
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A Set of Principles for Conducting and Evaluating Interpretive Field Studies in Information Systems1 · Scinovex