TY - JOUR
T1 - The insights from the crowd
T2 - Drawing inferences from many approaches to key empirical questions in international business
AU - 69 authors, including
AU - Delios, Andrew
AU - Hu, Tianyou
AU - Yu, Shu
AU - Zhou, Nan
AU - Ahsan, Faisal M.
AU - Bahl, Mona
AU - Bai, Tao
AU - Basu, Madhurima
AU - Bathula, Hanoku
AU - Batsakis, Georgios
AU - Carneiro, Jorge
AU - Chakravarty, Dwarka
AU - Chen, Danyang
AU - Chen, Weihong
AU - Chen, Ying-Yu
AU - Dau, Luis Alfonso
AU - Deng, Shu
AU - Dikova, Desislava
AU - Fan, Xiaomin
AU - Gada, Viswa Prasad
AU - Huang, Dongdong
AU - Kim, Hyun Gon
AU - Kim, Kyungjoong
AU - Kubicek, Ales
AU - Li, Chengguang
AU - Li, Wen Helena
AU - Li, Yi
AU - Li, Yuanyuan
AU - Lien, Yung-Chih
AU - Liu, Huanchen
AU - Liu, Wei
AU - Louis Vincent, Racheal
AU - Manocha, Parul
AU - Matsumoto, Yoichi
AU - Mumi, Atthaphon
AU - Niu, Chao
AU - Nuruzzaman, N.
AU - Panicker, Vidya Sukumara
AU - Parboteeah, K. Praveen
AU - Qiao, Wei
AU - Qiao, Xiaole
AU - Sethuram, Shyamala
AU - Shen, Ao
AU - Shi, Lei
AU - Sinani, Evis
AU - Sivakumar, Sandeep
AU - Soon, Pei-Shan
AU - Stallkamp, Maximilian
AU - Tinits, Priit
AU - Tolstoy, Daniel
AU - Uhlmann, Eric
PY - 2025/12
Y1 - 2025/12
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - Many analysts
KW - Open science
KW - Entry mode strategy
KW - Multinational firms
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001607973000001
U2 - 10.1057/s41267-025-00808-9
DO - 10.1057/s41267-025-00808-9
M3 - RGC 21 - Publication in refereed journal
SN - 0047-2506
VL - 56
SP - 1102
EP - 1124
JO - Journal of International Business Studies
JF - Journal of International Business Studies
IS - 9
ER -