Abstract
Over the past decade, researchers in the field of International Business (IB) and other areas of management science have suggested that the prevalent statistical methods based on null-hypothesis systematic testing (NHST) and related practices should be significantly revised or even abandoned. In this article, I examine problematic approaches in original papers published in the Journal of International Business Studies (JIBS), the leading IB journal, between 2012 and 2022. My analysis indicates a high probability of HARKing, file-drawing, and p-hacking. Furthermore, my data shows that the problems seem to have become more severe. There are only few positive trends. I discuss the main factors driving these trends and highlight systemic problems that require collective action. I address some of these challenges and propose potential solutions, thereby contributing to the list of JIBS publications that promote good scientific values and reporting standards.
| Original language | English |
|---|---|
| Number of pages | 36 |
| Journal | Academy of Management Proceedings |
| Volume | 2023 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | Academy of Management Annual Meeting 2023 - Duration: 4 Aug 2023 → 8 Aug 2023 |
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