Multilevel models in international business research

• 成果类型: Editorial Material
• 署名作者: Peterson, Mark F.; Arregle, Jean-Luc; Martin, Xavier
• 署名单位: emlyon business school; State University System of Florida; Florida Atlantic University; Maastricht University; Tilburg University; Tilburg University
• 刊物名称: JOURNAL OF INTERNATIONAL BUSINESS STUDIES
• ISSN/ISSBN: 0047-2506
• DOI: 10.1057/jibs.2011.59
• 发表日期: 2012
• 页码: 451-457
• 关键词: multilevel models; mixed linear methods; levels of analysis

摘要

Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative international business (IB) research, and open up new methodological and conceptual possibilities. However, they create new challenges, and they are still not frequently used in IB research. In this editorial we outline some key methodological issues for the uses of MLM in IB, including criteria, sample size, and measure equivalence issues. We then examine promising directions for future multilevel IB research considering comparative opportunities at nation, multiple-nation cluster, and within-nation region levels, including large multilevel databases. We also consider its promise for MNE research about semi-globalization, interorganizational effects across nations, clusters within nations, and teams and subsidiaries within MNEs. Journal of International Business Studies (2012) 43, 451-457. doi:10.1057/jibs.2011.59