Publication Type
Journal Article
Version
publishedVersion
Publication Date
11-2020
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
Keywords
Replication, Theory pruning, Theory testing, Conceptual replication, Cultural differences, Direct replication, Falsification, Gender discrimination, Hiring decisions, Protestant work ethic, Work values, Work-family conflict
Discipline
Industrial and Organizational Psychology | Science and Technology Studies | Social Psychology
Research Areas
Psychology
Publication
Organizational Behavior and Human Decision Processes
Volume
161
First Page
291
Last Page
309
ISSN
0749-5978
Identifier
10.1016/j.obhdp.2020.07.002
Publisher
Elsevier
Citation
TIERNEY, Warren, HARDY, Jay H. III, EBERSOLE, Charles R., LEAVITT, Keith, Viganola, D., HARTANTO, Andree, du PLESSIS, Christilene, JHA, Nilotpal, MASTERS-WAAGE, Theodore C., & SCHAERER, Michael.(2020). Creative destruction in science. Organizational Behavior and Human Decision Processes, 161, 291-309.
Available at: https://ink.library.smu.edu.sg/soss_research/3600
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Additional URL
https://doi.org/10.1016/j.obhdp.2020.07.002
Included in
Industrial and Organizational Psychology Commons, Science and Technology Studies Commons, Social Psychology Commons
Comments
The SMU authors were part of the Hiring Decisions Forecasting Collaboration (see Appendix of paper for full list of authors)