Institutional distance among country influences and environmental performance standardization in multinational enterprises

This research compares and contrasts the findings in Aguilera-Caracuel et al. (2013) with the outcomes of applying fuzzy-set qualitative comparative analysis (fsQCA) — a methodological strategy that gathers quantitative and qualitative information to explain complexity at the case level and generali...

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Bibliographic Details
Published in:Journal of business research 2014-11, Vol.67 (11), p.2385-2392
Main Authors: Aguilera-Caracuel, Javier, Fedriani, Eugenio M., Delgado-Márquez, Blanca L.
Format: Article
Language:English
Subjects:
Canada
Comparative studies
Environmental management
Formal and informal institutional distance between countries
fsQCA method
Fuzzy sets
Management theory
Multinational corporations
Multinational enterprises
Multiple regression analysis
Organizational behaviour
Pollution control
Qualitative analysis
Regression analysis
Standardization
U.S.A
Western Europe
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Summary:This research compares and contrasts the findings in Aguilera-Caracuel et al. (2013) with the outcomes of applying fuzzy-set qualitative comparative analysis (fsQCA) — a methodological strategy that gathers quantitative and qualitative information to explain complexity at the case level and generality across cases. Using the same sample of 128 multinational enterprises (MNEs) with headquarters and subsidiaries based in the USA, Canada, France, and Spain, we identify a set of relevant configurations of causes and conditions to explain environmental performance standardization. By avoiding separate treatments for each variable, which is typical in multiple regression analysis (MRA), we overcome prior limitations and propose a new way of understanding this phenomenon. In summary, our results significantly reinforce and complement the previous results.
ISSN:0148-2963
1873-7978
DOI:10.1016/j.jbusres.2014.02.005