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RDF description of Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper - http://orbis.uaslp.mx/vivo/individual/scopus5618
rights: termsOfUse
date: 2026-08-27T07:06:52
publisher: vivo
type: Document

Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper
related by: authorship_35415
e iscopus: 2-s2.0-85060806354
has publication venue: Production Planning and Control
type: Article
related by: authorship_35413
date time value: article date 5619
freetext keyword: 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
type: Document
volume: 29
origen: scopus
most specific type: Document
page start: 1306
type: Information Content Entity
crisid: 5619
related by: authorship_35414
issue: 16
page end: 1320
type: Continuant
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type: Generically Dependent Continuant
abstract: 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.
most specific type: Article
type: Entity
doi: 10.1080/09537287.2018.1535144
estado: published

Article
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Information Content Entity
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Production Planning and Control
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publication venue for: Universal-deterministic and probabilistic hypotheses in operations management research: a discussion paper
type: Entity
type: Document