Explaining Interaction Effects Within and Across Levels of Analysis

Ulf Andersson, Alvaro Cuervo-Cazurra*, Bo Bernhard Nielsen

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningpeer review

Abstrakt

Many manuscripts submitted to the Journal of International Business Studies propose an interaction effect in their models in an effort to explain the complexity and contingency of relationships across borders. In this article, we provide guidance on how best to explain the interaction effects theoretically within and across levels of analysis. First, in the case of interactions within the same level of analysis, we suggest that authors provide an explanation of the mechanisms that link the main independent variable to the dependent variable, and then explain how the interaction variable modifies these mechanisms. Moreover, to ensure that the arguments are theoretically complete, we suggest that authors theoretically rule out the potential reverse interaction effect between the main variable and moderating variable. Second, in the case of interactions across levels of analysis, we suggest that authors identify the cross-level nature of the moderating relationships, specify the level of analysis of the main relationship and the nested nature of the cross-level influences, and theoretically explain these cross-level influences. Additionally, we suggest that authors pay particular attention to nesting in order to theoretically rule out reverse interactions.
OriginalsprogEngelsk
TitelResearch Methods in International Business
RedaktørerLorraine Eden, Bo Bernhard Nielsen, Alain Verbeke
Antal sider19
UdgivelsesstedCham
ForlagPalgrave Macmillan
Publikationsdato2020
Sider331-349
Kapitel16
ISBN (Trykt)9783030221126
ISBN (Elektronisk)9783030221133
DOI
StatusUdgivet - 2020
NavnJIBS Special Collections
ISSN2397-8775

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