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3. Creative destruction in science

Author

Warren, Tierney, Jay, Hardy, Ebersole, Charles R., Keith, Leavitt, Domenico, Viganola, Elena Giulia Clemente, Michael, Gordon, Anna, Dreber, Magnus, Johannesson, Thomas, Pfeiffer, Eric Luis Uhlmann, Abraham, Ajay T., Matus, Adamkovic, Jais, Adam-Troian, Rahul, Anand, Arbeau, Kelly J., Awtrey, Eli C., Azar, Ofer H., Štěpán, Bahník, Gabriel, Baník, Ana Barbosa Mendes, Barger, Michael M., Ernest, Baskin, Jozef, Bavolar, Berkers, Ruud M. W. J., Randy, Besco, Michał, Białek, Bishop, Michael M., Helena, Bonache, Sabah, Boufkhed, Brandt, Mark J., Butterfield, Max E., Nick, Byrd, Caton, Neil R., Ceynar, Michelle L., Mike, Corcoran, Costello, Thomas H., Cramblet Alvarez, Leslie D., Jamie, Cummins, Curry, Oliver S., Daniels, David P., Daskalo, Lea L., Liora, Daum-Avital, Day, Martin V., Deeg, Matthew D., Dennehy, Tara C., Erik, Dietl, Eugen, Dimant, Artur, Domurat, Christilene du Plessis, Dmitrii, Dubrov, Elsherif, Mahmoud M., Yuval, Engel, Fellenz, Martin R., Field, Sarahanne M., Mustafa, Firat, Freitag, Raquel M. K., Enav, Friedmann, Omid, Ghasemi, Goldberg, Matthew H., Amélie, Gourdon-Kanhukamwe, Lorenz, Graf-Vlachy, Griffith, Jennifer A., Dmitry, Grigoryev, Sebastian, Hafenbrädl, David, Hagmann, Hales, Andrew H., Hyemin, Han, Harman, Jason L., Andree, Hartanto, Holding, Benjamin C., Astrid, Hopfensitz, Joachim, Hüffmeier, Huntsinger, Jeffrey R., Katarzyna, Idzikowska, Innes-Ker, Åse H., Bastian, Jaeger, Kristin, Jankowsky, Jarvis, Shoshana N., Nilotpal, Jha, David, Jimenez-Gomez, Daniel, Jolles, Bibiana, Jozefiakova, Pavol, Kačmár, Mariska, Kappmeier, Matthias, Kasper, Lucas, Keller, Viktorija, Knapic, Mikael, Knutsson, Olga, Kombeiz, Marta, Kowal, Goedele, Krekels, Tei, Laine, Daniel, Lakens, Bingjie, Li, Ronda F., Lo, Jonas, Ludwig, Marcus, James C., Marsh, Melvin S., Martinoli, Mario, Marcel, Martončik, Allison, Master, Masters-Waage, Theodore C., Lewend, Mayiwar, Jens, Mazei, Mccarthy, Randy J., Mccarthy, Gemma S., Stephanie, Mertens, Leticia, Micheli, Marta, Miklikowska, Talya, Miron-Shatz, Andres, Montealegre, David, Moreau, Carmen, Moret-Tatay, Marcello, Negrini, Newall, Philip W. S., Gustav, Nilsonne, Paweł, Niszczota, Nurit, Nobel, Aoife, O'Mahony, Orhan, Mehmet A., Deirdre, O'Shea, Oswald, Flora E., Miriam, Panning, Pantelis, Peter C., Mariola, Paruzel-Czachura, Mogens Jin Pedersen, Gordon, Pennycook, Ori, Plonsky, Vince, Polito, Price, Paul C., Primbs, Maximilian A., John, Protzko, Michael, Quayle, Rima-Maria, Rahal, Shahinoor Rahman, Md., Liz, Redford, Niv, Reggev, Reynolds, Caleb J., Marta, Roczniewska, Ivan, Ropovik, Ross, Robert M., Roulet, Thomas J., Andrea May Rowe, Silvia, Saccardo, Margaret, Samahita, Michael, Schaerer, Joyce Elena Schleu, Schuetze, Brendan A., Ulrike, Senftleben, Seri, Raffaello, Zeev, Shtudiner, Jack, Shuai, Ray, Sin, Varsha, Singh, Aneeha, Singh, Tatiana, Sokolova, Victoria, Song, Tom, Stafford, Natalia, Stanulewicz, Stevens, Samantha M., Eirik, Strømland, Samantha, Stronge, Sweeney, Kevin P., David, Tannenbaum, Tepper, Stephanie J., Kian Siong Tey, Hsuchi, Ting, Tingen, Ian W., Ana, Todorovic, Tse, Hannah M. Y., Tybur, Joshua M., Vineyard, Gerald H., Alisa, Voslinsky, Vranka, Marek A., Jonathan, Wai, Walker, Alexander C., Wallace, Laura E., Tianlin, Wang, Werz, Johanna M., Woike, Jan K., Wollbrant, Conny E., Wright, Joshua D., Sherry J., Wu, Qinyu, Xiao, Paolo Barretto Yaranon, Siu Kit Yeung, Sangsuk, Yoon, Karen, Yu, Meltem, Yucel, Psychometrics and Statistics, Human Technology Interaction, Department of Social Psychology, Entrepreneurship & Innovation (ABS, FEB), Faculteit Economie en Bedrijfskunde, Social Psychology, and IBBA

Subjects
Open science, Creative destruction, Theory testing, Transparency (market), SELF-ESTEEM, 050109 social psychology, Conceptual replication, Direct replication, MEASURING SOCIAL PREFERENCES, STATISTICAL POWER, Cultural diversity, Work-family conflict, Falsification, Gender discrimination, Applied Psychology, Work, Health and Performance, media_common, HYPOTHESIS, SDG 5 - Gender Equality, 05 social sciences, SDG 10 - Reduced Inequalities, Justice and Strong Institutions, Scholarship, Theory pruning Theory testing Direct replication Conceptual replication Falsification Hiring decisions Gender discrimination Work-family conflict Cultural differences Work values Protestant work ethic, Psychology, Theory pruning, Organizational Behavior and Human Resource Management, SDG 16 - Peace, Work values, media_common.quotation_subject, Best practice, SDG 5 – Gendergelijkheid, BF, Replication, 0502 economics and business, 0501 psychology and cognitive sciences, ATTITUDES, Positive economics, MANAGEMENT RESEARCH, LABORATORY EXPERIMENTS, Hiring decisions, Protestant work ethic, SDG 16 - Peace, Justice and Strong Institutions, PUBLICATION, Morality, Cultural differences, REPLICABILITY, Explanatory power, 050203 business & management
Abstract

Contains fulltext : 228242.pdf (Publisher’s version ) (Open Access) 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. 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 - 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. 19 p.

Published
2020
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