The purpose of OpenMKT.org is to increase transparency and quality of marketing research published in academic journals. If you have any suggestions for this site, please let the maintainer, Aaron Charlton, know (contact link in footer).
Research Trackers
| Replications | A catalog of high-powered, preregistered direct replications of marketing articles |
| Retractions | A catalog of retractions of marketing articles. |
| Preregisted studies | Articles that have multiple preregistered studies and show good evidential value (low p-values). |
| Bias studies | These are studies that evidence of systemic bias in marketing research (publication bias, p-hacking, low power, HARKing). |
Other research resources
You can find links to articles about data fabrication/data anomalies, mass replication projects and conceptual replications on the main research page.
Teaching tools
All of the teaching and learning resources are on the teaching page.
Recent blog posts
- How to quickly and easily make a customer heatmap with R
This is a good task for a marketing analytics course. It’s very easy to map out where customers are coming from. […] - 2022 marketing metascience year in reviewFirst, definitely check out the 2021 marketing metascience year in review if you haven’t yet. This is an update of that […]
- Three strikes for marketing professor, Nicolas Guéguen (but he doesn’t appear to be out)Nicolas Guéguen, a marketing professor at Université Bretagne Sud, now holds the title for most retractions of any currently working marketing […]
- You are right that we shouldn’t expect marketing studies to replicate (but I disagree about the reason)Some deep thinkers in marketing have postulated that perhaps marketing studies are not replicable because of the ever-shifting context around consumption. […]
- Dan Ariely claims authorship order shields him from blame; speculates that a low-level envelope stuffer committed the fraudIf you haven’t heard, world-famous marketing professor, Dan Ariely, was caught with fake data in fall of 2021. I’m not saying […]
