Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper

Based on Karl Popper’s approach to science, this conceptual article aims at promoting a discussion on important issues debated in the OM literature. Our focus is on the different types of hypotheses used in OM investigations and the implications of this for the formulation and testing of theory with an emphasis on case study research. Given that Popper’s methodology calls for an adequate testing of scientific propositions (universal-deterministic or probabilistic), we illustrate how case study research can be used to conduct a severe test of a scientific theory. It is also explained how case studies can be utilized to propose universal-deterministic hypotheses that should then be tested. Our investigation further discusses why it is important to clearly acknowledge the differences between the two types of hypotheses. Otherwise, inadequate research designs, deficient policy advice, and other similar problems, can arise. Topics for future research and discussion are also offered. © 2019, © 2019 Informa UK Limited, trading as Taylor %26 Francis Group.

case studies; case study research; individual observations; Karl Popper; methodology; testing; Universal-deterministic hypotheses; probabilistic hypotheses Computer applications; Industrial engineering; Testing; Case study research; Case-studies; individual observations; Karl popper; methodology; Universal-deterministic hypotheses; probabilistic hypotheses; Operations research

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