In late 2018, the Journal of Operations Management published an invited methods article by Lonati et al. (2018) to provide guidance to authors on how to design behavioral experiments to achieve the rigor required for consideration in the journal. That article was written as a response to a number of behavioral research submissions to JOM, each dealing with interesting topics but viewed by the editors to possess poor design choices at inception. While the Lonati et al. (2018) piece provides experimental guidance fitting to certain research agendas, questions have arisen concerning whether and how exactly to implement some of the points that it makes, and how to best address trade‐offs in the design of behavioral experiments. Questions have also arisen concerning how to apply these concepts in operations management research. This technical note seeks to address these questions, by diving into the details of research risks and trade‐offs regarding demand effects, incentives, deception, sample selection, and context‐rich vignettes. The authors would like to recognize the input of a large number of senior scholars in the JOM community who have provided support and feedback as we have sought to help authors tease out what can reasonably be done in designing strong behavioral experiments that fit various research agendas.

中文翻译：

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在做出实验设计选择时：讨论需求效应，激励，欺骗，样本和渐晕的用法和挑战

在2018年末，《运营管理杂志》发表了Lonati等人的邀请方法文章。（2018）为作者提供有关如何设计行为实验以达到在期刊中考虑的严格要求的指导。该文章是对对JOM的一些行为研究提交的回应，每个主题都涉及有趣的主题，但编辑者认为它们一开始就拥有较差的设计选择。而Lonati等。（2018）文章提供了适合某些研究议程的实验指导，出现了有关是否以及如何准确实现其提出的观点以及如何在行为实验设计中最好地权衡取舍的问题。关于如何在运营管理研究中应用这些概念的问题也出现了。本技术说明旨在通过深入研究研究风险和有关需求影响，激励，欺骗，样本选择和内容丰富的暗语的折衷方法来解决这些问题。作者想认识到JOM中大量资深学者的意见 社区提供了支持和反馈，我们试图帮助作者了解在设计适合各种研究议程的强有力的行为实验中可以合理地做的事情。