Lee (1989) A Scientific Methodology for MIS Case Studies

Abstract

A methodology for conducting the case study of a management information system (MIS) is presented. Suitable for the study of a single case, the methodology also satisfies the stan- dards of the natural science model of scientific research.

This article provides an overview of the methodological problems involved in the study of a single case, describes scientific method, presents an elucidation of how a previously published MIS case study captures the major features of scientific method, responds to the problems involved in the study of a single case, and summarizes what a scientific methodology for MIS case studies does, and does not, involve.

The article also has ramifications that go beyond matters of MIS case studies alone. For MIS researchers, the article might prove interesting for addressing such fundamental issues as whether MIS research must be mathematical, statistical, or quantitative in order to be called “scientific.” For MIS practitioners, the article's view of scientific method might prove interesting for empowering them to identify, for themselves, the point at which scientific rigor is achieved in an MIS research effort, and beyond which further rigor can be called into question, especially if pursued at the expense of professional relevance.

Citation Allen S. Lee (1989). A Scientific Methodology for MIS Case Studies. MIS Quarterly, vol. 13 no. 1, pp. 33–50. DOI

BibTex entry for this article:

BibTex entry for this article:

@article{lee1989scientific,
archivePrefix = {arXiv},
arxivId = {arXiv:1011.1669v3},
author = {Lee, Allen S.},
doi = {10.1017/CBO9781107415324.004},
eprint = {arXiv:1011.1669v3},
isbn = {9788578110796},
issn = {1098-6596},
journal = {MIS Quarterly},
number = {1},
pages = {33--50},
pmid = {25246403},
title = {{A Scientific Methodology for MIS Case Studies}},
volume = {13},
year = {1989}
}

Key ideas

Keywords:

Design Science, INF6001W, Information systems, case studies, organizational impacts, research design, research methods

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