Building Theories from Case Study Research is a research paper published in The Academy of Management Review (1989). On theSindex it has a DataRank of 1.7. It has been cited 83,066 times.
Describes the process of building theories from case studies and examines the strengths and weaknesses of this process. The case study research strategy is one in which the goal is to understand the dynamics present within an individual environment. The steps identified for building theory include selecting cases, crafting instruments and protocols, entering the field, analyzing data, shaping hypotheses, enfolding literature, and reaching closure. This process is highly iterative and closely tied to the empirical data. Using case studies to build theory has several advantages. First, it is likely to generate novel theory. Additionally, the theories generated are more likely to be built on constructs that are measurable, and these theories are likely to be empirically valid. On the other hand, this approach has weaknesses which include theories that are overly complex or narrow and idiosyncratic. This approach is best used in situations where one does not want to rely on previous literature or prior empirical evidence. The theories generated from this approach must be grounded in convincing evidence and should present novel ideas which meet the requirements of good theory. (SRD)
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
1.7
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 100% comes from its base citations and 0% from the citation network.
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.