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Manufacturing reshoring: A strategy to manage risk and commitment in the logic of the internationalization process model

Francesco Ciabuschi (Uppsala University, Department of Business Studies, Uppsala, Sweden)
Olof Lindahl (Uppsala University, Department of Business Studies, Uppsala, Sweden)
Paolo Barbieri (University of Bologna, Department of Management, Bologna, Italy)
Luciano Fratocchi (University of L’Aquila, Department of Industrial and Information Engineering and Economics, L’Aquila, Italy)

European Business Review

ISSN: 0955-534X

Article publication date: 14 January 2019

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Abstract

Purpose

This paper aims to theorize on the internationalization process model to explain cases of manufacturing reshoring as decisions taken to manage risk when internationalizing.

Design/methodology/approach

The paper is of a conceptual nature. Building on the logic of the internationalization process model, the authors extend previous work by focusing on firms’ risk perception (determined by commitment, knowledge and uncertainty as key variables) to explain also reshoring decisions.

Findings

Four propositions were developed, concerning the likelihood of firms to make manufacturing reshoring decisions. The first two propositions deal with the effects of new risk contingencies, and the other two refer specifically to the effects of managerial perceptions of three different typologies of risk, namely, host-country, home-country and reshoring-process specific risk.

Originality/value

While reshoring has been discussed mainly on the basis of economic arguments, this paper offers an alternative, behavioural view of this phenomenon as a strategic risk-management process. Therefore, it offers initial steps to theorize about reshoring from a risk-management perspective and, in doing so, opens up a number of avenues for future research.

Keywords

Citation

Ciabuschi, F., Lindahl, O., Barbieri, P. and Fratocchi, L. (2019), "Manufacturing reshoring: A strategy to manage risk and commitment in the logic of the internationalization process model", European Business Review, Vol. 31 No. 1, pp. 139-159. https://doi.org/10.1108/EBR-02-2018-0046

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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