Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32077
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: Creative destruction in science
Author(s): Tierney, Warren
Hardy III, Jay
Ebersole, Charles
Leavitt, Keith
Viganola, Domenico
Clemente, Elena Guilia
Gordon, Michael
Dreber, Anna
Johannesson, Magnus
Pfeiffer, Thomas
Hiring Decisions Forecasting Collaboration,
Uhlmann, Eric Luis
Keywords: Replication
Theory pruning
Theory testing
Direct replication
Conceptual replication
Falsification
Hiring decisions
Gender discrimination
Work-family conflict
Cultural differences
Work values
Protestant work ethic
Issue Date: Nov-2020
Date Deposited: 11-Dec-2020
Citation: Tierney W, Hardy III J, Ebersole C, Leavitt K, Viganola D, Clemente EG, Gordon M, Dreber A, Johannesson M, Pfeiffer T, Hiring Decisions Forecasting Collaboration & Uhlmann EL (2020) Creative destruction in science. Organizational Behavior and Human Decision Processes, 161, pp. 291-309. https://doi.org/10.1016/j.obhdp.2020.07.002
Abstract: 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’ reasoning about day care options, and gender discrimination in hiring decisions.
DOI Link: 10.1016/j.obhdp.2020.07.002
Rights: This is an open access article distributed under the terms of the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You are not required to obtain permission to reuse this article.
Notes: Conny Wollbrant is a member of the Hiring Decisions Forecasting Collaboration. The names and affiliations for the Hiring Decisions Forecasting Collaboration can be found in Appendix A.
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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