The science of organizations increases its credibility when it embraces research with an explicit focus on robustness and reliability. This special issue of curated commentaries recommends and illustrates how to incorporate robust and reliable research practices in organizational research. Together, these commentaries help researchers make contributions to improving every step of the research trajectory—theory development, methodology, and the process of quality control through peer review.
AguinisH.CascioW. F.RamaniR. S.2017. Science’s reproducibility and replicability crisis: International business is not immune. Journal of International Business Studies, 48: 653-663.
2.
BanksG. C.O’BoyleE. H.Jr.PollackJ. M.WhiteC. D.BatchelorJ. H.WhelpleyC. E.. . . AdkinsC. L.2016. Questions about questionable research practices in the field of management: A guest commentary. Journal of Management, 42: 5-20.
3.
BerghD. D.SharpB. M.AguinisH.LiM.2017. Is there a credibility crisis in strategic management research? Evidence on the reproducibility of study findings. Strategic Organization, 15: 423-436.
4.
BerghD. D.SharpB. M.LiM.2017. Tests for identifying “red flags” in empirical findings: Demonstration and recommendations for authors, reviewers, and editors. Academy of Management Learning & Education, 16: 110-124.
5.
BettisR. AHelfatC. E.ShaverJ. M.2016. The necessity, logic, and forms of replication. Strategic Management Journal, 37: 2193-2203.
6.
BlieseP. D.WangM. 2020. Results Provide Information About Cumulative Probabilities of Finding Significance: Let’s Report This Information. Journal of Management, 46: 1275-1288.
7.
BoydB. K.BerghD. D.KetchenD. J.Jr.2010. Reconsidering the reputation-performance relationship: A resource-based view. Journal of Management, 36: 588-609.
8.
CsaszarF. 2020. Certum quod factum: How formal models contribute to the theoretical and empirical robustness of organization theory. Journal of Management, 46: 1289-1301.
9.
GelmanA.2015. The connection between varying treatment effects and the crisis of unreplicable research: A Bayesian perspective. Journal of Management, 41: 632-643.
10.
GelmanA.2018. The failure of null hypothesis significance testing when studying incremental changes, and what to do about it. Personality and Social Psychology Bulletin, 44: 16-23.
11.
GelmanA.CarlinJ.2017. Some natural solutions to the p-value communication problem—and why they won’t work. Journal of the American Statistical Association, 112: 899-901.
12.
HonigB.LampelJ.BaumJ. A.GlynnM. A.JingR.LounsburyM.SchuesslerE.SirmonD. G.TsuiA. S.WalshJ. P.Van WitteloostuijnA.2018. Reflections on scientific misconduct in management: Unfortunate incidents or a normative crisis?Academy of Management Perspectives, 32: 412-442.
13.
HoenigJ. M.HeiseyD. M.2001. The abuse of power. American Statistician, 55: 19-24.
14.
KarabagS. F.BerggrenC.2012. Retraction, dishonesty and plagiarism: Analysis of a crucial issue for academic publishing and the inadequate responses from leading journals in economics and management disciplines. Journal of Applied Economics and Business Research, 2: 172-183.
15.
MunafòM. R.NosekB. A.BishopD. V.ButtonK. S.ChambersC. D.du SertN. P.. . . IoannidisJ. P.2017. A manifesto for reproducible science. Nature Human Behaviour, 1: 1-9.
16.
NelsonL. D.SimmonsJ.SimonsohnU.2018. Psychology’s renaissance. Annual Review of Psychology, 69: 511-534.
17.
SchwabA.AbrahamsonE.StarbuckW. H.FidlerF.2011. Perspective: Researchers should make thoughtful assessments instead of null-hypothesis significance tests. Organization Science, 22: 1105-1120.
18.
ShaverJ. M.2005. Testing for mediating variables in management research: Concerns, implications, and alternative strategies. Journal of Management, 31: 330-353.
19.
ShaverJ. M. 2020. Causal identification through a cumulative body of research in the study of strategy and organizations. Journal of Management, 46: 1244-1256.
20.
WrightP. M.2016. Ensuring research integrity: An editor’s perspective. Journal of Management, 42: 1037-1043.
21.
XuH.ZhangN.ZhouL. 2020. Validity Concerns in Research Using Organic Data. Journal of Management, 46: 1257-1274.
22.
YuanK.MaxwellS.2005. On the post hoc power in testing mean differences. Journal of Educational and Behavioral Statistics, 30: 141-167.
