Reproducibility in Management Science

Abstract

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 almost 29% of articles at least part of the dataset was not accessible for the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. The introduction of the disclosure policy increased reproducibility significantly, since only 12% of articles accepted before the introduction of the disclosure policy 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.

Research Transparency in 59 Disciplines of Clinical Medicine: A Meta-Research Study

“…Recently, it was shown that it is possible to increase data and code sharing with such efforts, and thus subsequently increase the reproducibility of research substantially (22). Indeed, we believe that protocol registration, data and code sharing would become much more common if they were required for publication, similar to current requirements for COI and funding disclosures.…”

“…While adherence to COI and funding disclosures is commendable, the limited adoption of these other crucial transparency practices across diverse medical disciplines remains a significant concern. The recent findings highlighting a high replication success rate with rigorous transparency, underscore the vital need for the universal adoption of such practices (19,22). We urge researchers, journal editors, and policymakers to advance these practices by advocating for the standardization of protocol registration and open data/code sharing across all medical disciplines.…”