Hierarchical Modelling in International Business Research: Patterns, Problems, and Practical Guidelines

Thomas Lindner, Jonas Puck, Jonathan Doh*

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Abstract

International Business (IB) phenomena often encompass activities at the nation, industry, firm, and individual levels. Consequently, empirical analyses in IB often consider at least two levels of analysis; failing to do so represents omitted variable bias. In this Perspectives paper, we review and evaluate the use and misuse of multi-level methods in IB, suggesting that IB scholars often fail to employ explicitly multilevel approaches when confronted with multi-level phenomena. We also assess different multi-level modeling techniques, noting that despite different nomenclature, many are functionally equivalent, and offer suggestions for best practices in the deployment of multi-level methods in IB.
OriginalsprogEngelsk
Artikelnummer101224
TidsskriftJournal of World Business
Vol/bind56
Udgave nummer4
Antal sider14
ISSN1090-9516
DOI
StatusUdgivet - jun. 2021
Udgivet eksterntJa

Emneord

  • Hierarchical data
  • Quantitative methods
  • Econometrics

Citationsformater