A Scientific Methodology for MIS Case Studies 案例研究经典论文

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来两个案例研究方面的经典，欢迎大家喜欢

A Scientific Methodology for MIS Case Studies
Building Theories from Case Study Research

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Theory Building From Cases  OPPORTUNITIES AND CHALLENGES

另外送个博弈论方面的经典，很难找到的Rational Cooperation in the Finitely Repeated Prisoners Dilemma

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A Scientific Methodology for MIS Case Studies,
by Allen S. Lee © 1989 Management Information Systems Research Center, University of Minnesota.

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 standards 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.

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Building Theories from Case Study Research,
by Kathleen M. Eisenhardt
© 1989 Academy of Management.

Abstract

This paper describes the process of inducting theory using case studies-from specifying the research questions to reaching closure. Some features of the process, such as problem definition and construct validation, are similar to hypothesis-testing research. Others, such as within-case analysis and replication logic, are unique to the inductive, case-oriented process. Overall, the process described here is highly iterative and tightly linked to data. This research approach is especially appropriate in new topic areas. The resultant theory is often novel, testable, and empirically valid. Finally, framebreaking insights, the tests of good theory (e.g., parsimony, logical coherence), and convincing grounding in the evidence are the key criteria for evaluating this type of research.

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THEORY BUILDING FROM CASES: OPPORTUNITIES AND CHALLENGES
KATHLEEN M. EISENHARDT. Stanford University.
MELISSA E. GRAEBNER. University of Texas at Austin

The Academy of Management Journal has takenthe lead among major journals in spotlighting alter-native methods that take advantage of rich empiri-cal data. In a series of “From the Editor” commen-taries, scholars cogently have explicated relatedtopics such as qualitative research (Gephart, 2004),grounded theory building (Suddaby, 2006), thevalue of richness (Weick, 2007) and the persuasivepower of the single case (Siggelkow, 2007). In thiscommentary, we focus on the related research strat-egy of theory building from cases, particularly mul-tiple cases.

Scholars have used case studies to develop the-ory about topics as diverse as group process (Ed-mondson, Bohmer, & Pisano, 2001), internal organ-ization (Galunic & Eisenhardt, 2001; Gilbert, 2005),and strategy (Mintzberg & Waters, 1982). Classicscholars (Chandler, 1962; Whyte, 1941) as well asthe authors of highly regarded AMJ papers (Dutton& Dukerich, 1991; Sutton & Raphaeli, 1988) haveused the method. Indeed, papers that build theoryfrom cases are often regarded as the “most interest-ing” research (Bartunek, Rynes, & Ireland, 2006)and are among the most highly cited pieces in AMJ(e.g., Eisenhardt, 1989a; Gersick, 1988), with im-pact disproportionate to their numbers. Not sur-prisingly then, the winning authors (Ferlie, Fitzger-ald, Wood, & Hawkins, 2005; Gilbert, 2005) of themost recent AMJ Best Article Award relied on thismethod.