Scratching the surface: Multinational enterprises and federalist political systems

IF 7.4 2区管理学 Q1 BUSINESS

Long Range Planning Pub Date : 2025-03-20 DOI:10.1016/j.lrp.2025.102526

Christopher A. Hartwell , Ziko Konwar , Timothy M. Devinney

引用次数: 0

Abstract

In this perspective piece, we stress the importance of intra-country institutional variance. Building on recent advances on sub-national political institutions and our own ongoing work, we focus on federal political systems and how they exert influence on the strategic decisions of MNEs – particularly in foreign location strategy.

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在这篇透视文章中，我们强调了国家内部制度差异的重要性。基于最近在次国家政治体制方面取得的进展和我们自己正在进行的工作，我们将重点放在联邦政治体制上，以及联邦政治体制如何对跨国企业的战略决策产生影响--尤其是在国外选址战略方面。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Long Range Planning Multiple-

CiteScore

13.00

自引率

7.10%

发文量

期刊介绍： Long Range Planning (LRP) is an internationally renowned journal specializing in the field of strategic management. Since its establishment in 1968, the journal has consistently published original research, garnering a strong reputation among academics. LRP actively encourages the submission of articles that involve empirical research and theoretical perspectives, including studies that provide critical assessments and analysis of the current state of knowledge in crucial strategic areas. The primary user base of LRP primarily comprises individuals from academic backgrounds, with the journal playing a dual role within this community. Firstly, it serves as a platform for the dissemination of research findings among academic researchers. Secondly, it serves as a channel for the transmission of ideas that can be effectively utilized in educational settings. The articles published in LRP cater to a diverse audience, including practicing managers and students in professional programs. While some articles may focus on practical applications, others may primarily target academic researchers. LRP adopts an inclusive approach to empirical research, accepting studies that draw on various methodologies such as primary survey data, archival data, case studies, and recognized approaches to data collection.