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Reproducibility in Management Science

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F24%3A00135279" target="_blank" >RIV/00216224:14560/24:00135279 - isvavai.cz</a>

  • Alternative codes found

    RIV/61384399:31130/24:00060119

  • Result on the web

    <a href="https://pubsonline.informs.org/doi/full/10.1287/mnsc.2023.03556" target="_blank" >https://pubsonline.informs.org/doi/full/10.1287/mnsc.2023.03556</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1287/mnsc.2023.03556" target="_blank" >10.1287/mnsc.2023.03556</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Reproducibility in Management Science

  • Original language description

    With the help of more than 700 reviewers we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hard- and software requirements were not an obstacle for reviewers, the results of more than 95 % of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29 % of articles at least part of the dataset was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68 %. These figures represent a significant increase compared to the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, out of which 55 % could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in dataset accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, but also soft- and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies, and suggest potential avenues for enhancing their effectiveness.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50200 - Economics and Business

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    MANAGEMENT SCIENCE

  • ISSN

    0025-1909

  • e-ISSN

    1526-5501

  • Volume of the periodical

    70

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    1343-1356

  • UT code for WoS article

    001132639700001

  • EID of the result in the Scopus database

    2-s2.0-85187694519