2 research outputs found

    Creative destruction in science

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    Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents\u2019 reasoning about day care options, and gender discrimination in hiring decisions. Significance statement It is becoming increasingly clear that many, if not most, published research findings across scientific fields are not readily replicable when the same method is repeated. Although extremely valuable, failed replications risk leaving a theoretical void\u2014 reducing confidence the original theoretical prediction is true, but not replacing it with positive evidence in favor of an alternative theory. We introduce the creative destruction approach to replication, which combines theory pruning methods from the field of management with emerging best practices from the open science movement, with the aim of making replications as generative as possible. In effect, we advocate for a Replication 2.0 movement in which the goal shifts from checking on the reliability of past findings to actively engaging in competitive theory testing and theory building. Scientific transparency statement The materials, code, and data for this article are posted publicly on the Open Science Framework, with links provided in the article

    The effect of a reference point in task difficulty: How does a task that becomes irrelevant affect effort, feelings and perceptions

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    We examine the effect of an irrelevant task that may become a reference point on subjects’ effort, feelings and perceptions. All subjects complete up to 25 tasks and are paid $0.10 per task solved correctly. However, some subjects have an easy task of finding one letter and others have a hard task of finding two letters. In the irrelevant-task treatment conditions subjects are told about the two types of tasks and are then assigned randomly to one. In addition, there are two control conditions, and in each control condition subjects are assigned to a specific task without the other task being possible or mentioned. Subjects in the irrelevant-task treatments express more positive (negative) feelings when assigned to the easy (hard) task. The control conditions that have no reference point of another task are in between the two irrelevant-task treatments in the feeling ratings. We hypothesized that for a given task, the subjects in the experimental conditions that have more positive feelings will also solve more tasks, but this hypothesis was not supported by the data. Finally, subjects who receive the easy task complete more tasks than the ones with the hard task
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