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/ |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S0749597820303678-main.pdf | Fulltext - Published Version | 1.33 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.