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The insights from the crowd: Drawing inferences from many approaches to key empirical questions in international business

  • 69 authors, including
  • , Andrew Delios
  • , Tianyou Hu*
  • , Nan Zhou*
  • , Chao Niu
  • , Eric Uhlmann
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

5 Downloads (CityUHK Scholars)

Abstract

In this crowdsourced initiative, 57 independent analysts used the same longitudinal dataset to address four major empirical questions in international business. For all four research questions, different analysts obtained substantial estimates in opposite directions, meaning that they could have drawn any conclusion at all had they conducted the project alone. Aggregating across the results obtained by different analysts pointed to an overall answer for two of the four research questions, although for one of the two questions, the evidence was more suggestive than conclusive. That said, the variability in results was not simply random, and could in some cases be meaningfully explained. Choices regarding how to operationalize variables played an important role in determining the empirical results, and expert analysts were more likely to report large positive effects. Rather than exhibiting a bias to confirm their pre-existing beliefs, analysts appeared to rationally update their beliefs considering the evidence. Overall, these findings empirically demonstrate the role of subjective researcher choices in shaping results in international business research yet also show that it is still possible to draw meaningful conclusions in science. We advocate for an open science of international business in which the consequences of subjective analytic choices are rendered as transparent as possible. © The Author(s) 2025.
Original languageEnglish
Pages (from-to)1102-1124
Number of pages23
JournalJournal of International Business Studies
Volume56
Issue number9
Online published5 Nov 2025
DOIs
Publication statusPublished - Dec 2025

Funding

This project was supported by the Multi-Year Research Grant from the University of Macau (Reference No.: MYRG-GRG2024-00140-FBA), awarded to Tianyou Hu, and the National Natural Science Foundation of China (Project No.: 72572121, 72122016), awarded to Nan Zhou. Eric Uhlmann is grateful for funding from the INSEAD R&D committee. We acknowledge the following analysts as co-authors, with whom we have unfortunately lost contact: Liang Hu (Jinan University), Mahdi Forghani Bajestani (Old Dominion University), Aqi Liu (The Chinese University of Hong Kong), Fatemeh Askarzadeh (Old Dominion University), Benjamin Krebs (Paderborn University), and Jiao Li (China Europe International Business School). We are grateful to research assistance from Jimmy Chen, Yuehan Chu, Nihong Li, Yixiao Han, Yize Liu, Rafael Goldszmidt, Kerui Gao, Lixuan Xu, and Zhiyi Wu for their material organization, data preparation, and administrative assistance.

Research Keywords

  • Crowdsourcing
  • Many analysts
  • Open science
  • Entry mode strategy
  • Multinational firms

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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