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            Chapter 31 Political risks and nationalism

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            Author(s)
            Kurosawa, Takafumi
            Forbes, Neil
            Wubs, Ben
            Language
            English
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            Abstract
            This chapter analyses risks arising from political phenomena including nationalism. Such “non-market risks” include political as well as natural disasters. Taking an historical perspective, the authors interrogate several key research questions, including: What impact did political risk and nationalism have on global business? Have wars and other conficts caused by national interests and identities retarded or even reversed the trend towards globalization? When faced with political and geopolitical threats such as war, occupation, expropriation, economic blockade and sanctions, requisition, persecution, or boycott, how did multinational enterprises (MNEs) and other international economic actors manage (or fail) to overcome the situation they found themselves in? How did the response of economic entities like MNEs transform global business, or change political risks and the sovereign state system? Fundamentally, the chapter shows how the examination of such phenomena provides key insights into business history and international business research.
            Book
            The Routledge Companion to the Makers of Global Business
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/166020
            Keywords
            Global Business; Business History; Nationalism; Geopolitics; Non-Market Strategy; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GT Interdisciplinary studies::GTQ Globalization
            ISBN
            9781138242654
            Publisher
            Taylor & Francis
            Publisher website
            http://www.taylorandfrancis.com/
            Publication date and place
            2017
            Grantor
            • Kyoto University
            Imprint
            Routledge
            Pages
            18
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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