Chapter 11

Case research, also called case study, is a method of intensively studying a phenomenon
over time within its natural setting in one or a few sites.

Case research can be employed in a positivist manner for the purpose of theory
testing or in an interpretive manner for theory building.

Case research has several unique strengths over competing research methods such as
experiments and survey research.

First, case research can be used for either theory building or
theory testing, while positivist methods can be used for theory testing only.

Second, the research questions can be modified during the
research process if the original questions are found to be less relevant or salient.

Third, case research can help
derive richer, more contextualized, and more authentic interpretation of the phenomenon of
interest than most other research methods by virtue of its ability to capture a rich array of
contextual data.

Fourth, the phenomenon of interest can be studied from the perspectives of
multiple participants and using multiple levels of analysis.

Several key decisions must be made by a researcher when considering a case research
method.

Conducting Case Research

First, is this the right method for the research questions being studied?

Second, what is the appropriate unit of analysis for a case research study?

Third, should the researcher employ a single-case or multiple-case design?

Fourth, what sites should be chosen for case research?

Fifth, what techniques of data collection should be used in case research?

Define research questions.

Select case sites.

Create instruments and protocols.

Select respondents.

Start data collection.

Conduct within-case data analysis.

Conduct cross-case analysis.

Build and test hypotheses.

Write case research report.

Interpretive Case Research Exemplar

Data was collected from five sources:

Initial interviews with Chief Executive Officers

Interviews with divisional heads

Questionnaires

Secondary data

Personal observation

Positivist Case Research Exemplar

The goal of this
study was to understand why a newly implemented financial information system

To explore the reasons behind user resistance of FIS, Markus posited three alternative
explanations

system-determined theory

people-determined theory

interaction theory