Operations and supply chain management (OSCM) scholars have generally not engaged in the robust discourse over the extent and implications of science's replication crisis, perhaps because replication studies remain exceedingly rare in the discipline. In this manuscript, I encourage more replications. However, I also assume that such studies will remain rare. Therefore, it is argued that the replication crisis in OSCM can be partially addressed by conducting theory testing and refining research in a more systematic fashion that acknowledges researchers' and journals' incentives to publish new knowledge, while also efficiently helping to ensure that the foundations of that new knowledge are generalizable and not based on idiosyncratic, spurious, or questionable findings. Hence, I focus on ways to conduct a replication within a larger theory testing or refining study in a manner that makes it possible to explain the results, even if they differ from past research. This is achieved via enhanced transparency, designing research to include tests of nomological validity and account for the possibility that the results will not replicate, and more careful consideration of controls. The payoff from this investment in designing replication logic into theory testing and refining research would be that in the course of conducting normal science, we would be able to make much stronger claims about the veracity of our theories, facts, and predictions.

中文翻译：

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复制而不重复自己：解决运营和供应链管理研究中的复制危机

运营和供应链管理（OSCM）学者通常并未就科学复制危机的程度和影响进行过激烈的论述，这也许是因为复制研究在该学科中仍然极为罕见。在本手稿中，我鼓励进行更多复制。但是，我也认为这样的研究将仍然很少。因此，有人认为，通过以更系统的方式进行理论测试和完善研究，可以部分解决OSCM的复制危机，这种方式应承认研究人员和期刊发表新知识的动机，同时也可以有效地帮助确保其基础。新知识是可推广的，而不是基于特质，虚假或可疑的发现。因此，我专注于在较大的理论测试或提炼研究中进行复制的方法，即使它们与以往的研究有所不同，也可以解释结果。这可以通过提高透明度，设计包括法理学有效性的测试并考虑结果无法复制的可能性以及更仔细地考虑控制措施来实现。从设计复制逻辑到理论测试和完善研究中的​​这项投资的回报将是，在进行正常科学的过程中，我们将能够对我们的理论，事实和预测的准确性提出更强的主张。设计研究以包括对法理学有效性的检验，并说明结果不会重复的可能性，并更加仔细地考虑控制措施。从设计复制逻辑到理论测试和完善研究中的​​这项投资的回报将是，在进行正常科学的过程中，我们将能够对我们的理论，事实和预测的准确性提出更强的主张。设计研究以包括对法理学有效性的检验，并说明结果不会重复的可能性，并更加仔细地考虑控制措施。从设计复制逻辑到理论测试和完善研究中的​​这项投资的回报将是，在进行正常科学的过程中，我们将能够对我们的理论，事实和预测的准确性提出更强的主张。